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Free Download Python Dsa Bootcamp - Master Data Structures & Algorithms Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.47 GB | Duration: 8h 18m Master Data Structures and Algorithms: Build Efficient Solutions with Trees, Graphs, Sorting, and Searching Techniques What you'll learn Understand and define key data structures such as arrays, linked lists, stacks, and queues. Analyze algorithm efficiency using Big O notation and identify time and space complexity. Implement common algorithms for searching and sorting, including binary search and quicksort. Solve complex problems using advanced data structures like trees, graphs, and hash tables. Requirements Basic understanding of programming concepts (variables, loops, and conditionals). Familiarity with at least one programming language (e.g., Python, Java, or C++). No prior experience with data structures or algorithms is required; you will learn everything you need to know. Description In this comprehensive course, you will dive deep into the world of data structures and algorithms, which are essential for any aspiring software developer. Understanding these concepts is crucial for writing efficient code and solving complex problems. Throughout the course, you will learn to implement and utilize key data structures such as arrays, linked lists, stacks, and queues. These foundational structures will serve as the building blocks for more advanced topics.As you progress, you will explore advanced data structures like trees and graphs, which are vital for representing hierarchical data and relationships. You will gain hands-on experience through coding exercises that reinforce your understanding and application of these concepts. Additionally, you will learn to analyze algorithm efficiency using Big O notation, allowing you to evaluate the performance of your code in terms of time and space complexity.The course will also cover essential algorithms for searching and sorting, including linear search, binary search, quicksort, and mergesort. By mastering these algorithms, you will be equipped to tackle a variety of programming challenges effectively.By the end of the course, you will have the skills and confidence to optimize your solutions and improve your coding proficiency. Join us to enhance your problem-solving abilities and take your programming skills to the next level!What you will learn:Fundamental Data Structures: Understand and implement basic data structures such as arrays, linked lists, stacks, and queues, and learn when to use each.Advanced Data Structures: Explore more complex structures like trees (binary trees, AVL trees, and binary search trees) and graphs (directed and undirected), including their properties and applications.Algorithm Analysis: Analyze the efficiency of algorithms using Big O notation, and learn to evaluate time and space complexity to make informed decisions about code performance.Searching Algorithms: Master various searching techniques, including linear search and binary search, and understand their use cases and performance implications.Sorting Algorithms: Implement and compare different sorting algorithms, such as bubble sort, selection sort, quicksort, and mergesort, to understand their strengths and weaknesses.Recursion: Learn the principles of recursion and how to apply it to solve problems, including recursive algorithms for searching and sorting.Problem-Solving Techniques: Develop critical thinking and problem-solving skills through hands-on coding exercises and real-world projects that challenge you to apply what you've learned. This course is designed for aspiring software developers, computer science students, and anyone interested in enhancing their problem-solving skills through data structures and algorithms. Whether you're a beginner looking to build a strong foundation or an experienced programmer wanting to refresh your knowledge, this course will provide valuable insights and practical skills. Bookmark message Copy message Homepage: https://www.udemy.com/course/python-dsa-bootcamp-master-data-structures-algorithms/ DOWNLOAD NOW: Python Dsa Bootcamp - Master Data Structures & Algorithms Rapidgator https://rg.to/file/930cfc64dfe7ff5fa3e8bc66e387c29d/retck.Python.Dsa.Bootcamp..Master.Data.Structures..Algorithms.part1.rar.html https://rg.to/file/e9f829d5f0602f84d828f27aeb3c7dd1/retck.Python.Dsa.Bootcamp..Master.Data.Structures..Algorithms.part2.rar.html Fikper Free Download https://fikper.com/Ql9EwVtJ8B/retck.Python.Dsa.Bootcamp..Master.Data.Structures..Algorithms.part1.rar.html https://fikper.com/Oi3foHk3Yn/retck.Python.Dsa.Bootcamp..Master.Data.Structures..Algorithms.part2.rar.html No Password - Links are Interchangeable

Free Download Learn Python Programming - A Complete Bootcamp Published: 3/2025 Created by: Dr. Reza Shahin MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 298 Lectures ( 23h 54m ) | Size: 13.3 GB Python Bootcamp: From Fundamentals to Mastery - Build a Strong Foundation in Programming What you'll learn Understand Python syntax and basic operations. Implement loops and conditional statements effectively. Use functions for modular and reusable code. Perform mathematical operations using math modules. Work with sets, tuples, lists, and dictionaries for data storage. Apply object-oriented programming (OOP) principles. Utilize classes, inheritance, and polymorphism in OOP. Implement basic data structures for efficient problem-solving. Explore Python modules for enhanced functionality. Requirements No programming required. You will learn everything you need Description Welcome to the Python Bootcamp, a comprehensive hands-on course designed to help you master Python programming from the ground up. Whether you are a complete beginner or someone looking to refine your coding skills, this course is structured to provide a step-by-step learning experience covering fundamental concepts to advanced programming techniques.Why Take This Course?Python is one of the most popular programming languages in the world, known for its simplicity, readability, and versatility. It is widely used in web development, data science, artificial intelligence, automation, and software engineering. This course will not only teach you Python syntax and core programming concepts but also help you develop the problem-solving skills necessary to write efficient and scalable code.Who Should Take This Course?Absolute beginners who want to learn programming from scratch.Students and professionals looking to build a strong foundation in Python.Software engineers, data analysts, and AI enthusiasts who want to expand their skill set.Anyone interested in automation, web development, or scripting using Python.What You Will Learn1. Python BasicsUnderstanding Python syntax and execution flow.Variables, data types, and operators.String manipulation and formatting.2. Control Flow: Loops and Conditional StatementsImplementing if-else conditions for decision-making.Using for and while loops for repetition.Understanding nested loops and logical operators.3. Functions and Modular ProgrammingDefining and calling functions in Python.Function parameters, return values, and scope.The importance of code reusability and modular programming.4. Math Modules and Built-in FunctionsPerforming mathematical operations using the math module.Exploring built-in functions for calculations and data manipulation.5. Data Collections: Sets, Tuples, Lists, and DictionariesUnderstanding lists and their operations (sorting, indexing, slicing).Using tuples for immutable collections.Leveraging sets for unique elements and mathematical operations.Working with dictionaries for key-value data storage.6. Object-Oriented Programming (OOP)Understanding classes and objects in Python.Implementing encapsulation, inheritance, and polymorphism.Creating real-world applications using OOP concepts.87 Python Data Structure Modules and PackagesImporting and using built-in Python modules such as namedtuple, chainmap, counter, ordereddictionaries, heapq, and deque,.Creating and organizing your own modules.Understanding the Python package management system.What Makes This Course Unique? * Comprehensive Curriculum - Covers everything from basic syntax to advanced OOP and data structures. * Hands-on Learning - Practice coding with real-world exercises and projects. * Step-by-Step Approach - Each topic builds on the previous one for easy learning. * No Prior Experience Required - Designed for absolute beginners. * Practical Applications - Learn how to write clean, efficient, and reusable Python code.By the end of this course, you will have the skills and confidence to build Python applications, automate tasks, and explore more advanced areas like data science, AI, or web development. * Join this bootcamp and start your Python programming journey today! Who this course is for Absolute beginners who want to learn programming from scratch. Students and professionals looking to build a strong foundation in Python. Software engineers, data analysts, and AI enthusiasts who want to expand their skill set. Anyone interested in automation, web development, or scripting using Python. 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Free Download Learn C++ Programming - A Complete Bootcamp Published: 3/2025 Created by: Dr. Reza Shahin MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 284 Lectures ( 30h 52m ) | Size: 17.5 GB From Fundamentals to Advanced Concepts - Master C++ with Hands-On Learning What you'll learn Understand C++ syntax and structure Use variables and data types effectively Implement control flow (if, loops, switch) Work with functions and modular code Use arrays, vectors, and strings Understand pointers and memory management Apply object-oriented programming (OOP) Implement classes, objects, and inheritance Use polymorphism and virtual functions Handle exceptions and error management Work with file input/output operations Requirements No programming Requirements are needed. We teach you ALL and EVERY details Description Master C++ from the Ground Up!This C++ Bootcamp is designed to take you from a complete beginner to a confident C++ programmer. 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Free Download Web Development Bootcamp - Learn HTML, CSS, and JavaScript Published: 3/2025 Created by: Shaa Web MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 73 Lectures ( 8h 45m ) | Size: 2.71 GB Master Front-End Development and Build Real-World Projects with HTML, CSS, and JavaScript What you'll learn Master HTML to create structured and well-formatted web pages Style websites with CSS to make them visually appealing and responsive Learn JavaScript to add interactivity and dynamic features to web applications Develop real-world projects to apply your knowledge and build a strong portfolio Requirements No prior programming experience required - perfect for beginners! A computer (Windows, macOS, or Linux) with internet access A text editor (like VS Code, Sublime Text, or Notepad++) A willingness to learn and practice through hands-on projects Description Do you want to learn web development and create stunning, fully functional websites from scratch? This step-by-step bootcamp will teach you HTML, CSS, and JavaScript-the core technologies behind every modern website.Whether you're a complete beginner or looking to sharpen your front-end development skills, this course will provide hands-on training with real-world projects to help you gain confidence and practical experience.What You'll Learn:HTML Fundamentals - Structure web pages using semantic HTML elementsCSS Styling - Design beautiful, responsive layouts with CSS and Flexbox/GridJavaScript Essentials - Add interactivity and dynamic features to your websitesResponsive Design - Create mobile-friendly web pages with media queriesDOM Manipulation - Learn how JavaScript interacts with HTML & CSSForms & Validation - Build interactive forms with input validationAnimations & Effects - Add smooth transitions using CSS and JavaScriptProject-Based Learning - Build real-world projects to apply your knowledgeWho this course is for :Beginners who want to learn web development from scratchAnyone looking to master HTML, CSS, and JavaScript for front-end developmentDesigners who want to turn their designs into live websitesEntrepreneurs who want to build their own websites without hiring developersWhy Take This Course?Hands-on projects to reinforce learningStep-by-step explanations for every topicNo prior coding experience needed-perfect for beginnersPractical skills to kickstart your career as a web developerBy the end of this course, you'll have the confidence to build modern, responsive websites and start your journey in web development.Enroll now and start coding today! Who this course is for Beginners who want to learn web development from scratch Aspiring developers looking to build a career in web development Freelancers who want to create websites for clients and grow their business Entrepreneurs who want to build their own websites or web applications Students & professionals who want to expand their skill set and enhance their resumes Anyone interested in learning how websites and web applications are built Homepage: https://www.udemy.com/course/web-development-bootcamp-learn-html-css-and-javascript/ Rapidgator https://rg.to/file/6001be6a5a7b7379bd657dcd5691aaf1/hyjxn.Web.Development.Bootcamp.Learn.HTML.CSS.and.JavaScript.part1.rar.html https://rg.to/file/f05d6778f10034b8787858d53700cb11/hyjxn.Web.Development.Bootcamp.Learn.HTML.CSS.and.JavaScript.part2.rar.html https://rg.to/file/8646deea76847040f706285663a17ba7/hyjxn.Web.Development.Bootcamp.Learn.HTML.CSS.and.JavaScript.part3.rar.html Fikper Free Download https://fikper.com/JZVVz4jNSi/hyjxn.Web.Development.Bootcamp.Learn.HTML.CSS.and.JavaScript.part1.rar.html https://fikper.com/AtEyUIC2Ip/hyjxn.Web.Development.Bootcamp.Learn.HTML.CSS.and.JavaScript.part2.rar.html https://fikper.com/eGoCmwbFND/hyjxn.Web.Development.Bootcamp.Learn.HTML.CSS.and.JavaScript.part3.rar.html : No Password - Links are Interchangeable

Free Download Build 11 JavaScript Application and Web JavaScript BootCamp Published: 3/2025 Created by: Learnify IT MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 14 Lectures ( 6h 1m ) | Size: 1.57 GB Build 11 Powerful JavaScript Applications: A Complete Guide to Learning JavaScript Through Projects What you'll learn Master the core JavaScript fundamentals - variables, data types, loops, functions, and more. Learn how to manipulate the DOM, create dynamic content, and interact with users in real-time. Gain hands-on experience by building 11 fully functional applications using JavaScript. Debugging & Error Handling: Learn how to troubleshoot and fix common issues in JavaScript code. Develop skills in version control using Git and deploying your projects to the web. Requirements Basic skills on computer If you have basic knowledge on HTML, CSS that would be helpful Description Master JavaScript Web Development by Building 11 Real-World Applications!Are you ready to transform your JavaScript skills and build a powerful portfolio? This comprehensive bootcamp is your gateway to becoming a proficient web developer. In this course, you'll dive deep into JavaScript by building 11 diverse and engaging web applications from scratch.What you'll learn:Hands-on JavaScript Development: Learn by doing, with practical projects that solidify your understanding.Real-World Application Building: Create 11 unique web applications, showcasing your skills to potential employers.Modern JavaScript Techniques: Master ES6+ features, DOM manipulation, asynchronous JavaScript, and more.API Integration: Learn how to fetch and utilize data from APIs to build dynamic web apps.Problem-Solving Skills: Develop the ability to tackle real-world JavaScript challenges.Portfolio Building: Create a robust portfolio of projects that demonstrate your expertise.Job-Ready Skills: Gain the skills employers are looking for in JavaScript developers.Course Highlights:Build 11 fully functional JavaScript web applications.Step-by-step guidance through each project.Clear and concise explanations of complex concepts.Additional projects Responsive instructor support to answer your questions.Who this course is for :Anyone who wants to learn or level up their application and web development skills and build a solid portfolio with JavaScript.Enroll now and start building your future as a JavaScript web developer!" Who this course is for Anyone who wants to learn or level up their application and web development skills and build a solid portfolio with JavaScript. Homepage: https://www.udemy.com/course/build-11-javascript-application-and-web-javascript-bootcamp/ Rapidgator https://rg.to/file/ee3f2c316bec9e2268708d369d57d991/rszoj.Build.11.JavaScript.Application.and.Web.JavaScript.BootCamp.part1.rar.html https://rg.to/file/cd180285dec8a83e707fc0ee70aee3c4/rszoj.Build.11.JavaScript.Application.and.Web.JavaScript.BootCamp.part2.rar.html Fikper Free Download https://fikper.com/9tkOgvxgxi/rszoj.Build.11.JavaScript.Application.and.Web.JavaScript.BootCamp.part1.rar.html https://fikper.com/PQV70WuZTh/rszoj.Build.11.JavaScript.Application.and.Web.JavaScript.BootCamp.part2.rar.html : No Password - Links are Interchangeable

Free Download CISSP Domain 1 Bootcamp - Master Security & Risk Mgmt Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 51m | Size: 574 MB Master CISSP Domain 1 with expert insights on risk management, security governance, compliance, and legal Requirements. What you'll learn Master Security & Risk Management - Understand key security concepts, governance principles, and compliance Requirements. Apply the ISC² Code of Ethics - Learn how to uphold professional ethics and ensure integrity in cybersecurity practices. Develop & Implement Security Policies - Gain hands-on knowledge of security frameworks, standards, and policy enforcement. Analyze Risk & Threats Effectively - Identify, assess, and mitigate security risks using real-world threat modeling techniques. Engage with a cybersecurity community, get expert guidance, and prepare with exam-focused insights to pass the CISSP with confidence! Requirements No previews knowledge or experience needed. Description CISSP Domain 1 Bootcamp: Master Security & Risk ManagementAre you preparing for the CISSP exam and looking to build a strong foundation in Security & Risk Management? This course provides in-depth coverage of risk management, security governance, compliance, and legal regulations, ensuring you master the essential concepts needed to pass the CISSP exam and advance your cybersecurity career.What You'll Learn:Risk Management: Identify, assess, and mitigate security risks using frameworks like ISO 27005 and NIST RMF.Security Governance: Implement security policies, frameworks, and best practices to align security with business goals.Legal & Regulatory Compliance: Understand GDPR, PCI DSS, HIPAA, ISO 27001, and other global standards.Ethics & Professional Conduct: Apply the ISC² Code of Ethics to maintain integrity and trust in cybersecurity. Policies & Procedures: Develop and enforce policies that enhance security posture and regulatory compliance.Business Continuity & Incident Response: Ensure resilience by implementing effective BCP and DRP strategies.Why Take This Course?Exam-Focused & Practical - Aligned with the latest CISSP CBK, featuring real-world scenarios and case studies.Comprehensive & Up-to-Date - Covers all key aspects of CISSP Domain 1 with deep dives into security frameworks.Boost Your Career - Gain essential cybersecurity leadership skills that hiring managers value.Easy-to-Follow Explanations - Simplifies complex topics to ensure clarity and retention.Engage with a Community - Join a network of CISSP students and professionals to share insights and stay motivated.Direct Teacher Support - Get your questions answered and receive guidance throughout your learning journey.Join now and take a major step toward CISSP certification success! Who this course is for CISSP candidates who want to fully understand Domain 1 and pass the exam GRC enthusiasts looking to strengthen their knowledge of governance, risk, and compliance Cybersecurity professionals aiming to advance in leadership and policy-making roles Job seekers preparing for GRC interviews who need hands-on insights into security frameworks and regulations Homepage: https://www.udemy.com/course/cissp-domain-1-bootcamp-master-security-risk-mgmt/ DOWNLOAD NOW: CISSP Domain 1 Bootcamp - Master Security & Risk Mgmt Rapidgator https://rg.to/file/01366038646f102a16d316b8015d78b6/tdogi.CISSP.Domain.1.Bootcamp.Master.Security..Risk.Mgmt.rar.html Fikper Free Download https://fikper.com/iN7bG7q3FJ/tdogi.CISSP.Domain.1.Bootcamp.Master.Security..Risk.Mgmt.rar.html : No Password - Links are Interchangeable

Free Download The Ultimate SQL Bootcamp - Go Zero to Hero in SQL Published: 3/2025 Created by: Unicliff Edutech MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 21 Lectures ( 19h 56m ) | Size: 14.7 GB Become an expert at SQL! What you'll learn Use SQL to query a database Be confident in putting SQL and PostgreSQL on your resume Replicate real-world situations and query reports Use SQL to perform data analysis Learn to perform GROUP BY statements Requirements No prerequisites, you will learn everything from scratch Description Learn SQL fast and easy with this course!In this course, you'll quickly learn how to read and write complex database queries using PostgreSQL, one of the most popular and in-demand SQL tools. The skills you learn here can also be used with other major SQL databases like MySQL, Microsoft SQL Server, Oracle, Amazon Redshift, and more.Learning SQL is a great way to boost your career because it's one of the top tech skills companies are looking for. This course will help you learn quickly, with challenges and tests along the way to make sure you understand everything!Here's what you'll learn in this course:How to use PostgreSQL and PgAdmin, two of the most popular tools for working with SQL.The basics of SQL syntax (the rules for writing SQL code).How to analyze data with GROUP BY commands and aggregate functions.How to write advanced queries using string operations and comparison operations.How to use logical operators to add more complex conditions to your queries.The most common SQL JOIN commands.How to create tables and databases with rules to control the data.How to use Python to improve your SQL skills.And much more!This course puts you in control right from the start! You won't just watch someone else code-you'll set up and restore databases yourself. Every section includes challenges that help you practice real-world tasks.I have years of experience teaching both online and in-person at big companies, and this course combines the best methods for learning at your own pace. You'll start with the basics and soon be working with advanced SQL commands, like handling timestamps and character data, just like a pro.SQL is one of the most in-demand skills for business analysts, data scientists, and anyone working with data. So, level up your skills and add SQL to your resume by joining today! Who this course is for Anyone interested in learning more about SQL, PostgreSQL, or SQL for data analysis and data science! 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Free Download Python Programming Bootcamp From Basics to Expert (2025) Published: 2/2025 Created by: Mohit . MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 112 Lectures ( 21h 16m ) | Size: 8 GB Python basics, data structures, OOP, functional programming, API , Data Exploration What you'll learn Master Python Basics: Learn Python installation, syntax, variables, operators, and core programming concepts like loops and conditionals. Explore Python Data Structures: Gain proficiency in using strings, tuples, lists, dictionaries, and their operations. Understand Python Functions: Learn to create functions with arguments, return values, default values, and variable-length arguments. Handle Files and Exceptions: Develop skills in file handling and managing exceptions for robust programming. Utilize Python Libraries: Explore special functions, random module, collections, and modules like datetime, time, and pytz. Implement Advanced Techniques: Work with regular expressions, object-oriented programming (OOP), and Python's operating system interfaces. Work with Multithreading and Multiprocessing: Learn to optimize tasks using Python threading and multiprocessing. Requirements No Prior Programming Experience Needed: This course is designed for absolute beginners as well as those looking to deepen their Python knowledge. A Computer with Internet Access: Learners need a Windows, macOS, or Linux computer with an active internet connection for downloading tools and materials. Basic Computer Skills: Familiarity with using a computer, navigating files, and installing software is helpful but not mandatory. Curiosity and Willingness to Learn: A positive mindset and eagerness to explore programming concepts will help you succeed in this course. Description This course is designed to provide a thorough understanding of Python programming, starting from the basics and progressing to advanced concepts. 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Free Download ZerotoMastery - AI Engineering Bootcamp Retrieval Augmented Generation (RAG) for LLMs Released 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 150 Lessons ( 17h 53m ) | Size: 4.8 GB Learn to make smarter AI systems by combining LLMs with Retrieval-Augmented Generation (RAG). Build real-world projects using RAG architecture including chatbots, financial analysis tools, and much more! What you'll learn Combine generative AI models with Retrieval Augmented Generation to build smarter AI systems Use OpenAI APIs for text generation and processing unstructured data Master FAISS for efficient similarity searches in massive datasets Apply prompt engineering techniques for optimal AI responses Build real-world AI projects like chatbots and financial analysis tools Explore advanced RAG concepts like multimodal and agentic RAG What Is An AI Engineer? The short version is that an AI Engineer works on the entire lifecycle of an AI application - that is, an application that utilizes AI at its core. An AI Engineer takes AI models, including Large Language Models, and customizes them to their needs. (If you want the long version, check out our blog post here) That requires everything from building models using custom datasets, to training and tuning models, to deploying models and scaling them using cloud technologies. The role is growing like wildfire, but it's still evolving and will no doubt continue evolving as the AI landscape changes. What Is Retrieval Augmented Generation (RAG)? Have you ever wondered why some AI systems can feel limited, giving answers that seem a bit generic or off-target? Well that's because they're limited to the knowledge in their training data. And that's a lot of data. But it's not everything. It doesn't include private data, nor does it include recent data that has been created since the model was trained. Retrieval-Augmented Generation, or RAG, addresses this by supplementing AI models with that private or new information. Instead of relying only on what it was trained on, RAG retrieves up-to-date, relevant information from a database or document. Here's how it works: the system first finds the most relevant pieces of information for a given question (retrieval). Then, it uses a language model to generate a response based on that information (generation). That's why it's called retrieval-augmented generation! The result is an AI that combines the best of both worlds: real-time access to external knowledge and the ability to express it clearly. Let's do an example. Picture this: You're browsing a clothing store's website, looking for a specific jacket in your size and favorite color, but you're not sure if it's in stock. Instead of clicking through endless filters, a chatbot powered by RAG can make this effortless. When you ask, "Do you have the blue jacket in a medium size?" the RAG system retrieves real-time inventory data from the store's database. It finds the exact details, like availability in nearby stores or estimated delivery dates - information that would not be in the AI model's training data. And then it uses that information to generate a useful response: "Yes, we have it in stock! You can pick it up at our downtown location or have it delivered by Friday." This kind of dynamic, accurate interaction makes shopping easier and faster, ensuring you get the answers you need without the hassle. RAG is increasingly used in AI applications like chatbots, research tools, and data analysis systems, where accuracy and context are essential. It's a practical way to make AI more reliable and useful in complex scenarios. Why This RAG Course? Well, because it's the best, most up-to-date, and practical AI Engineering Bootcamp course online that teaches you real-world RAG skills and that lets you get hands-on so that you can actually use your skills in the real-world. But of course we're biased. So here's a breakdown of what's covered in this RAG Bootcamp course so that you can make up your own mind 1. Basics of Retrieval Systems: This section lays the foundation for understanding how to search and retrieve information from large datasets. You will learn how to prepare text data for retrieval, explore different retrieval models (Boolean, vector space, probabilistic), and understand the concepts of indexing, querying, and ranking. The goal is to equip you with the skills to efficiently find relevant information within massive datasets. 2. Basics of Generation Models: Building on the retrieval concepts, this section introduces the principles of text generation using AI. You will learn about the transformer architecture, which has revolutionised natural language processing, and how attention mechanisms within transformers allow models to focus on the most relevant parts of the input. You will also gain an understanding of data preparation and training techniques for these models. 3. Introduction to RAG: This section introduces the core concepts of Retrieval-Augmented Generation, explaining how it combines the strengths of retrieval and generation models to create more accurate, contextually relevant, and comprehensive responses. You will learn about the basic RAG architecture and understand why it is becoming increasingly important in various AI applications. 4. Working With The OpenAI API: This section focuses on teaching you how to use OpenAI's API for accessing and utilizing their powerful AI models, particularly for text generation and image processing. You will learn about obtaining API keys, setting up your environment, crafting effective prompts, tuning parameters, and understanding the system prompt's influence on the AI's behaviour. 5. RAG with OpenAI Implementation: This section brings together everything you have learned so far to teach you how to build fully functional RAG systems using OpenAI models. You will integrate retrieval and generation components, explore advanced RAG concepts like multi-modal RAG, and use the OpenAI API to create intelligent systems capable of handling complex tasks. 6. Working with Unstructured Data: This section delves into the challenges and techniques for working with unstructured data, which constitutes a vast majority of real-world information. You will learn how to process and extract information from various formats like PDFs, Word documents, PowerPoint presentations, EPUBs, images, and Excel data. This section equips you with the tools to unlock the value hidden within unstructured data. 7. Multimodal RAG: Building on your understanding of RAG, this section introduces the concept of multi-modal RAG, which extends the capabilities of RAG to handle data from multiple modalities, such as text and images. You will learn how to build systems that can integrate different data types to generate richer and more contextually relevant responses. 8. Agentic RAG: This section introduces the concept of agentic RAG, focusing on building AI agents that can interact with users, handle tasks, and make decisions autonomously. The course covers agent state management, workflows, and integrating retrieval and generation into agentic systems. This section represents the cutting edge of RAG development and explores how AI agents can dynamically respond to user requests and complete complex tasks. 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Free Download Mastering AI Agents Bootcamp - Build Smart Chatbots & Tools Published: 2/2025 Created by: Vivian Aranha MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 27 Lectures ( 2h 25m ) | Size: 930 MB Build AI agents, automation bots, chat assistants, task managers, and smart workflows using local AI models-no APIs req What you'll learn Build AI-powered agents for task automation, chatbots, and intelligent assistants, enhancing workflow efficiency without relying on external APIs. Develop AI models that understand, process, and generate human-like responses, enabling interactive and dynamic conversation systems. Implement AI-driven automation bots that perform repetitive tasks, manage schedules, and optimize workflows without manual intervention. Utilize local vector databases like FAISS to store, retrieve, and process knowledge for AI assistants, eliminating reliance on cloud-based APIs. Integrate speech-to-text and text-to-speech capabilities into AI agents, enabling hands-free interaction for enhanced accessibility. Design AI chatbots with long-term memory using local storage, allowing intelligent agents to retain context across multiple conversations. Develop web-based AI assistants with Streamlit, providing interactive user interfaces for real-time AI-powered automation and assistance. Create AI-powered document readers that extract, summarize, and answer questions from PDFs without requiring cloud-based AI services. Build AI-driven personal finance trackers that analyze expenses, provide budgeting advice, and generate financial insights locally. Enhance AI models with prompt engineering techniques, enabling better responses, improved task execution, and more personalized interactions. Requirements No prior AI experience needed! Basic Python programming knowledge is helpful but not required, as fundamental coding concepts will be covered along the way. A computer (Windows, macOS, or Linux) with internet access to install required tools, run AI models locally, and develop interactive AI-powered applications. Familiarity with command-line tools like Terminal or Command Prompt is useful but not mandatory, as step-by-step guidance will be provided for all setups. Basic understanding of logic, problem-solving, and structured thinking will help in designing AI workflows and automating tasks efficiently. Some exposure to machine learning concepts is beneficial but not required; AI fundamentals and practical applications will be introduced progressively. A willingness to experiment, debug, and iterate on AI projects to gain hands-on experience in building, testing, and refining intelligent automation tools. Patience and curiosity to explore AI technologies, learn prompt engineering techniques, and build functional AI agents with real-world use cases. An open mindset to adopt AI-driven solutions, automate daily tasks, and improve efficiency using AI-powered assistants and automation bots. Basic knowledge of JSON, text processing, or web scraping is useful but not necessary; all relevant concepts will be explained with hands-on projects. No expensive software or cloud services needed! All AI agents and automation bots will be built using open-source tools and local execution methods. Description Artificial intelligence is transforming the way we work, automate tasks, and interact with technology. This course is designed to help learners build AI-powered agents, automation bots, chat assistants, and task management systems using open-source tools without relying on external APIs or cloud-based services. Whether you are a beginner exploring artificial intelligence or a developer looking to integrate AI into real-world applications, this course provides a hands-on approach to building AI-driven automation solutions.Throughout this course, learners will gain practical experience in developing intelligent assistants that can process text, respond to user queries, automate repetitive tasks, and manage workflows efficiently. The focus will be on implementing AI-powered chatbots, smart task managers, document readers, web scrapers, and personal productivity assistants. By leveraging local AI models, vector databases, and natural language processing techniques, students will learn how to create AI solutions that function entirely on their machines without any reliance on cloud APIs.The course starts with an introduction to AI agents, covering the fundamental concepts of natural language processing, automation workflows, and task execution. Learners will build chatbots capable of carrying on meaningful conversations while maintaining memory of past interactions. By integrating AI models with local vector databases such as FAISS, students will store and retrieve information efficiently, allowing their AI agents to answer complex queries based on stored knowledge. As the course progresses, students will develop AI-powered task automation bots capable of scheduling, organizing, and prioritizing tasks using machine intelligence.One of the key aspects of this course is building AI-driven document readers that extract, summarize, and provide answers from PDF files. Learners will implement an AI system that processes and retrieves relevant information, enabling intelligent document search and Q&A functionalities. Additionally, students will create an AI-powered web scraper that extracts text from websites, summarizes content, and stores valuable insights in a searchable vector database for later use. These AI automation techniques can be applied in various domains, including research, business intelligence, and content generation.As learners progress through the course, they will work on projects that integrate AI into daily productivity tools. They will develop personal AI assistants that help with scheduling, reminders, and workflow management. The course also covers AI-powered task prioritization, where students will train models to analyze deadlines and assign importance to different activities. By the end of the course, students will have a strong understanding of how to build AI agents capable of automating complex tasks, enhancing productivity, and managing data-driven workflows.This course is designed for software developers, data analysts, AI enthusiasts, and anyone interested in building AI automation solutions. No prior experience in artificial intelligence is required, as all concepts are introduced progressively with step-by-step implementations. Learners will gain hands-on experience with AI tools, machine learning models, and automation frameworks, making this course ideal for those who want to integrate AI into real-world applications. All projects are built using open-source software and executed locally, ensuring privacy, security, and full control over AI-driven automation systems.By the end of this course, students will have the knowledge and practical skills to create AI-powered chatbots, automation bots, document readers, web scrapers, and intelligent personal assistants. They will be equipped to develop AI solutions that streamline workflows, enhance productivity, and automate repetitive tasks efficiently. This course provides a solid foundation in AI-driven automation and equips learners with the ability to design, build, and deploy AI agents for various use cases. 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Free Download The Complete SQL Bootcamp From Beginner to Expert 2025 Published: 2/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 2m | Size: 1.65 GB Become an SQL Expert - Master Databases & Queries! What you'll learn Understanding Database and CRUD The Database Management system (DBMS) and types of Databases Relational Database Management system SQL Server Installation and creating Database & Tables Inserting Data to a Table, also updating Rows AND deleting a table SQL Statement Fundamentals Understanding WHERE Statement AND Arithmetic operators in SQL Server Understanding Concatenation in SQL (Numbers) How to Combine Strings in SQL Server - Concatenation Logical operators - AND and OR Operators in SQL Server Understanding BETWEEN & IN Operators in SQL Understanding LIKE Operator in SQL Knowing ORDER BY Statement and FUNCTIONS in SQL Understanding GROUP BY Clause and String Functions in SQL Using the Date Functions in SQL Server Working with and practicing the UNION and UNION ALL operators Practical examples and usage of INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN in SQL Requirements No prior technical experience is required! All you need is a computer! No prior SQL or database experience needed (beginner-friendly)! SQL Server & SSMS installation (covered in the course)! Interest in data and databases! The course is FULLY CAPTIONED to improve learning experience Description Are you ready to unlock the power of databases and SQL? This comprehensive course is designed to take you from the fundamentals of database management to advanced SQL techniques. Whether you're a beginner or looking to enhance your SQL skills, this course provides hands-on experience with real-world examples.What You'll Learn:Database Fundamentals: Understand the core concepts of databases, CRUD operations, and Database Management Systems (DBMS).Types of Databases & RDBMS: Explore different database types and learn about Relational Database Management Systems (RDBMS).SQL Server Setup: Step-by-step guidance on installing SQL Server and setting up your first database.Working with Data: Learn how to create databases, design tables, insert, update, and delete records.SQL Query Fundamentals: Master the essential SQL statements, including SELECT, WHERE, ORDER BY, and arithmetic operations.String & Logical Operations: Understand concatenation, logical operators (AND, OR), and advanced filtering techniques (LIKE, BETWEEN, IN).Functions & Aggregations: Work with built-in SQL functions, including string manipulation, date functions, and GROUP BY operations.Advanced SQL Joins: Master INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN to combine data from multiple tables efficiently.UNION & UNION ALL: Learn how to merge datasets while maintaining efficiency and accuracy.etc.Why Take This Course?Hands-on SQL exercises and real-world database scenariosBeginner-friendly with a step-by-step approachCovers both theoretical concepts and practical applicationsEssential for database administrators, web developers, data analysts, and software engineersThis course is Fully captioned for better learning experience.By the end of this course, you'll have a strong foundation in SQL and be able to efficiently manage and query databases with confidence. Join now and take your database skills to the next level! Who this course is for Beginners looking to start a career in database management or software development. Web developers who want to integrate databases into their applications. Data analysts and business professionals who need to query and analyze data. IT professionals seeking to enhance their database and SQL skills. No programming background? No problem! This course is structured to guide you from the basics to mastering SQL confidently. Homepage: https://www.udemy.com/course/the-complete-sql-bootcamp-from-beginner-to-expert/ Rapidgator https://rg.to/file/8e03b196f029f094f4ec313efc55ec48/lfprn.The.Complete.SQL.Bootcamp.From.Beginner.to.Expert.2025.part1.rar.html https://rg.to/file/695a8a832e28b61c69f60a1073a7027c/lfprn.The.Complete.SQL.Bootcamp.From.Beginner.to.Expert.2025.part2.rar.html Fikper Free Download https://fikper.com/lL94K1y99D/lfprn.The.Complete.SQL.Bootcamp.From.Beginner.to.Expert.2025.part1.rar.html https://fikper.com/rXuXqtOqs5/lfprn.The.Complete.SQL.Bootcamp.From.Beginner.to.Expert.2025.part2.rar.html : No Password - Links are Interchangeable

Free Download Python Data Visualization: Matplotlib Bootcamp A-Z [2025] Published: 2/2025 Created by: Dr. Reza Shahin MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 93 Lectures ( 7h 2m ) | Size: 3.8 GB Master Matplotlib to plot figures for data analytics & business intelligence + 50 exercises[2025] (Bootcamp) What you'll learn Create clear, customized line plots with different styles. Design scatter plots with size, color, and marker variations. Build bar charts, including stacked and grouped formats. Develop histograms with custom bins and density curves. Construct pie charts with exploded slices and rotation. Generate heatmaps for analyzing correlations. Implement box plots to display distributions. Create 3D plots, including scatter and line visualizations. Analyze time series data with moving averages. Enhance plot aesthetics with annotations and transparency. Requirements No Requirements are needed, we teach you EVERYTHING even basics of Python Description Data visualization is an essential skill in today's data-driven world. Whether you are a data scientist, engineer, researcher, or analyst, the ability to present data effectively can make a significant difference in your work. This comprehensive course will take you on a step-by-step journey through the fundamentals and advanced capabilities of Matplotlib, the most widely used Python library for plotting and visualization.With over 50 hands-on coding exercises, this course covers everything from basic line plots to advanced multi-dimensional visualizations, ensuring that you develop a strong practical understanding of how to create, customize, and enhance visual representations of data. You will learn to produce clear, professional, and insightful plots that can be used for presentations, reports, publications, and business analysis.What This Course Covers:* Python Fundamentals for Data VisualizationBefore diving into Matplotlib, we provide essential Python programming concepts to ensure all learners-beginners and experienced coders alike-can follow along with ease.* Mastering Line PlotsLearn how to create solid, dashed, and dotted line plots.Customize marker styles, colors, edge widths, and labels.Work with multiple line plots and adjust line thickness, transparency, and styling.* Advanced Scatter Plot TechniquesMaster scatter plots with various marker sizes, colors, and annotations.Explore randomized scatter plots and use color bars for added data insights.Learn how to handle large datasets efficiently and highlight important data points.* Bar Charts & Histograms for Data AnalysisDevelop vertical, horizontal, grouped, and stacked bar charts.Enhance bar charts with error bars, text annotations, and logarithmic scaling.Construct custom histograms, modify bin sizes, and overlay density plots for better data interpretation.* Pie Charts & Donut ChartsCreate professional pie charts with rotation, exploded slices, and multi-chart figures.Learn how to optimize pie chart readability for presentations and reports.* Advanced Plotting with Box Plots, Heatmaps, and 3D VisualizationsImplement box plots with custom notches and mean markers to analyze distributions.Generate heatmaps to visualize data correlations effectively.Explore 3D scatter plots and line plots to represent multi-dimensional data.* Time Series & Trend AnalysisLearn how to plot time series data, detect trends, peaks, and moving averages.Apply visualization techniques to business, finance, and scientific research data.Why This Course is Unique?* Practical and Hands-On Approach: With over 50+ interactive coding exercises, you will develop real-world visualization skills rather than just theoretical knowledge.* Beginner to Advanced Coverage: Whether you are a beginner looking to build a foundation or a professional aiming to master advanced Matplotlib techniques, this course caters to all levels.* Comprehensive Customization Techniques: Learn color mapping, annotation, transparency settings, font adjustments, and multi-chart layouts to make your plots publication-ready.* Who Can Benefit?Students seeking to build their programming and data visualization skills.Data analysts, engineers, and business professionals looking to enhance their reporting abilities.Researchers needing scientific-quality figures for journals and conference papers.Anyone who wants to transform raw data into meaningful visual insights.By the end of this course, you will confidently create, customize, and optimize visualizations, making your data more insightful, compelling, and easy to interpret. 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Free Download Udemy - 45-Day Raspberry Pi Bootcamp Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 14.82 GB | Duration: 26h 34m Learn Raspberry Pi from Setup to Project Deployment: Programming, Electronics, and Practical Applications What you'll learn Set up and configure your Raspberry Pi for a variety of projects Code in Python to interact with hardware components Integrate sensors and modules to create interactive projects Build and troubleshoot real-world Raspberry Pi applications Understand networking basics and how to use your Raspberry Pi for IoT (Internet of Things) projects Requirements No prior programming or hardware experience is required! You'll need a Raspberry Pi (any model), a microSD card, and a power supply to follow along with the projects A willingness to experiment, tinker, and learn as you go! Description Unlock the full potential of the Raspberry Pi with our 45-Day Raspberry Pi Bootcamp, designed to take you from beginner to advanced in just six weeks. Whether you're a tech enthusiast, a hobbyist, or an aspiring engineer, this course offers 12 hours and 26 minutes of comprehensive video lessons that cover everything you need to know to become proficient with the Raspberry Pi.In this intensive bootcamp, you'll master the fundamentals of setting up your Raspberry Pi, installing essential software, and diving into programming with Python and Linux commands. You'll progress through hands-on projects like building a weather station, controlling LED lights, creating a home automation system, and even deploying your own web server. Each lesson includes step-by-step demonstrations and practical exercises to solidify your skills.Our instructors, part of the Educational Engineering Team, are seasoned professionals with years of experience in the tech and engineering fields. They've designed this bootcamp to be accessible for all levels, ensuring that even beginners without prior programming knowledge can keep up. By the end of the course, you'll have a portfolio of impressive projects and the confidence to create, troubleshoot, and expand your own Raspberry Pi projects.Enroll Now and take the first step towards Raspberry Pi mastery. Transform your ideas into reality with hands-on learning, expert guidance, and engaging content.Testimonials:"This course transformed my understanding of Raspberry Pi! From knowing nothing to building projects on my own in just a month!" - Sarah J."I loved the hands-on approach and practical applications. The instructors are knowledgeable and explain everything clearly." - Mike T."A must-take course for anyone wanting to delve into electronics and programming with Raspberry Pi. Highly recommend!" - Alex R.Call to ActionEnroll Now to kickstart your journey with Raspberry Pi! Start building and programming your own tech projects today.What You Will LearnRaspberry Pi Setup & Configuration: From unboxing to installing the OS and setting up Wi-Fi and SSH.Programming with Python: Write scripts, automate tasks, and interact with sensors and components.Linux Command Line Basics: Navigate and control your Raspberry Pi effectively.Hands-on Projects: Build and deploy real-world applications like home automation systems, web servers, and more.Troubleshooting & Debugging: Identify common issues and fix them efficiently.Who is This Course ForBeginners: Those new to programming, electronics, or Raspberry Pi, seeking a structured and supportive learning experience.Tech Enthusiasts: Hobbyists wanting to explore the possibilities of Raspberry Pi projects.STEM Educators and Students: Teachers and learners who want practical skills for educational settings or personal growth.Engineers and IT Professionals: Individuals interested in enhancing their tech toolkit for work or personal projects.RequirementsA Raspberry Pi Kit: (Raspberry Pi 4 recommended) including a power supply, microSD card, and other basic peripherals.Basic PC Knowledge: Familiarity with computer usage; no programming experience required.Internet Access: For software installation and updates.Willingness to Learn: Dedication to complete projects and follow instructions is key. Overview Section 1: Day 1-2 Getting Started with Raspberry Pi Lecture 1 Introduction to Raspberry Pi Section 2: Day 3-5 Raspberry Pi Step By Step: Your Complete Guide Lecture 2 Introduction and What you will get when you join Lecture 3 Quick Intro To Raspberry Pi World Lecture 4 10 Uses for Raspberry Pi Board Lecture 5 Different Versions of Raspberry Pi Lecture 6 Raspberry Pi Components Lecture 7 OS Versions Available for Raspberry Pi Lecture 8 Arduino Vs Raspberry Pi Vs BeagleBone Lecture 9 Course Material Works with any high tech board! Lecture 10 What do you need to Run the Raspberry Pi Lecture 11 Getting OS and Running Raspberry Pi Lecture 12 Setting Up Raspberry Pi for the First Time Lecture 13 Simulating Raspberry Pi Lecture 14 Simple Starter Kit Lecture 15 Raspberry Pi Modeb B Unboxing Lecture 16 A tour inside Raspberry Pi Operating System Lecture 17 Raspberry Pi Command Line Lecture 18 Updating Software Packages Lecture 19 Control Raspberry Pi from another Device using SSH Lecture 20 Control Raspberry Pi from another Device using VNC Server Lecture 21 Assign A fix IP Address for Raspberry Pi Board Lecture 22 Connecting Raspberry Pi to another computer using Network Cable Lecture 23 Programming GPIO with Python Lecture 24 Python and Your First Code Lecture 25 Installing the Control Library Lecture 26 Example 1 Blinking Led Lecture 27 Example Two Reading Input Values From A Switch Lecture 28 Example Three Running the Led Using LDR Lecture 29 Example Four PIR Motion Detector Lecture 30 BCM Numbering instead of Numbering by Order Lecture 31 Adafruit Protection Box and Connection Cable Lecture 32 The End Lecture 33 Who We Are Section 3: Day 6-7 Mastering Python Programming with Raspberry Pi Lecture 34 Introduction Lecture 35 Why Python Lecture 36 Download and Install Python Lecture 37 Hello World and Help Function Lecture 38 Variables and basic data types in Python Lecture 39 Commenting your code Lecture 40 Reading keyboard input Lecture 41 Exercise - Build a program to say Hello Lecture 42 Exercise Build a simple calculator app Lecture 43 Conditional Statement Lecture 44 Loops For Loop Lecture 45 Loops While Loop Lecture 46 Exercise User Name and Password Section 4: Day 8-10 I2C Communication between Arduino and Raspberry Pi Lecture 47 Introduction Lecture 48 Hardware and Software Requirements Lecture 49 Download and Install Arduino Pro IDE Lecture 50 Download and Install Windows 10 IoT Core on SD Card Lecture 51 Download and Install Visual Studio for Coding Lecture 52 Windows Device Portal Walkthrough Lecture 53 I2C Overview Lecture 54 Arduino Wire Library Lecture 55 I2C Circuit Connection Lecture 56 Arduino Coding Lecture 57 Windows IoT User Interface Lecture 58 Windows IoT C Backend Coding Lecture 59 Practical Connection Lecture 60 Practical Testing Lecture 61 Introduction Lecture 62 Where to use i2c communication Lecture 63 I2C Pins in Arduino Lecture 64 Arduino Wire Library I2C Functions Lecture 65 Arduino to Arduino I2C Communication Circuit Design Lecture 66 Arduino to Arduino I2C Communication coding Lecture 67 Arduino to DS1307 Time and Date Module Circuit Design Section 5: Day 11-12 Arduino Interfacing with Sensors in Your Smartphone Lecture 68 Introduction Lecture 69 Hardware and Software Requirements Lecture 70 Download and Install MIT App Inventor Lecture 71 Download and Install Arduino Pro IDE Lecture 72 What is App Inventor Lecture 73 MIT App Inventor User Interface Explained Lecture 74 Make your first Mobile App - Blink LED Lecture 75 Code your Arduino - Blink LED Lecture 76 Proximity Sensor Mobile App Lecture 77 Light Sensor Lecture 78 Practical Testing Lecture 79 Accelerometer Sensor Lecture 80 Coding Accelerometer Sensor Lecture 81 Gyroscope Sensor Mobile App and Arduino Code Lecture 82 Magnetometer Sensor Mobile App and Arduino Code Lecture 83 What can you do and system requirements Lecture 84 What is app inventor in More Details Lecture 85 Java Vs App Inventor Lecture 86 Why using App Inventor Lecture 87 App Architecture Lecture 88 Lets start Making Apps Lecture 89 First App Add Items and Start Programming with Blocks Lecture 90 First App Testing and Running the App using Emulator Lecture 91 First App Testing and Running with USB or APK File Lecture 92 Resources you need to visit to Create Better Apps Lecture 93 How to Create a website for your app for free and take credit for it Lecture 94 App Inventor Overview Lecture 95 An App Challenge Lecture 96 System Requirements Lecture 97 App Inventor Vs Java and C Lecture 98 Why App Inventor Works Lecture 99 App Architecture Lecture 100 Download and Install App Inventor on Your Device Lecture 101 App Inventor User Interface with Example Lecture 102 Arduino Coding for Led on Off Practical Example Lecture 103 Making an Android App for Led On Off Practical Example Lecture 104 Testing On Off App with Arduino Lecture 105 Make a Log In Protected Led Control App Lecture 106 Slider Application to Control Led Brightness Lecture 107 Slider Practical Lecture 108 Practical Connect Bluetooth Module Lecture 109 RGB Led Controller Android Application Lecture 110 RGB LED Arduino Coding Lecture 111 Sensor Readings Arduino Coding Lecture 112 Sensor Readings Android Application Lecture 113 Relay On Off Simple Example Lecture 114 LCD Text Arduino Coding Lecture 115 LCD Text Android Application Lecture 116 Remote Controlled Robot Android Application Lecture 117 Remote Controlled Robot Arduino Coding Lecture 118 Make Money with MIT App Inventor Apps Lecture 119 How to read analog sensors using Arduino Lecture 120 Software Requirements Lecture 121 Wiring Analog Sensors to Arduino Lecture 122 Writing code to collect reading from analog sensors Lecture 123 Practical Analog Sensor Testing Lecture 124 Analyze and convert Sensor Reading Lecture 125 Manipulating Sensors Reading Lecture 126 ADC in Arduino Explained Section 6: Day 13-15 Make a Smart Mirror Using Raspberry Pi Lecture 127 Introduction Lecture 128 Download Raspian Operating System for Raspberry Pi Lecture 129 Install Raspbian Operating System on the SD Card Lecture 130 Starting Raspian and Getting the Code and Libraries Lecture 131 Downloading and Installing pip Lecture 132 Installing Dependencies Lecture 133 Getting API Token for Weather Lecture 134 Adding the API Token and Running the Application Lecture 135 Before Practical Assembly Lecture 136 Practical Assembly Section 7: Day 16-19 ESP32 + Arduino Interfacing: A Step by Step Course Lecture 137 Introduction Lecture 138 Hardware and Software Requirements Lecture 139 What is MQTT and why we need it Lecture 140 Create mqtt server account Lecture 141 What is ESP32 Lecture 142 ESP 32 Pinout v1 DOIT Lecture 143 ESP8266 Download and Install Arduino ESP and USB Driver Lecture 144 ESP32 v1 Download and Install Arduino Development environment Lecture 145 Arduino Coding Lecture 146 ESP Coding Part1 Define Variables Lecture 147 ESP Coding Part2 Wifi and MQTT Lecture 148 ESP Coding Part3 Read Incoming Data from Arduino Lecture 149 Upload Code to Arduino and Test it Lecture 150 Edit Code and Upload it to ESP32 then Test it Lecture 151 Final ESP32 Testing Lecture 152 Circuit Connection Explained Section 8: Day 20 Raspberry Pi Mid Certification 1 Mastery: Test Your Skills Section 9: Day 21-22 Obstacle Avoiding Robot with Raspberry Pi Lecture 153 Introduction Lecture 154 Required Material Lecture 155 Raspberry Pi and Ultrasonic Sensor Lecture 156 IR Sensor and Motor Driver Lecture 157 Voltage Regulator and DC Motors Lecture 158 Circuit Diagram Lecture 159 Code Lecture 160 The End Section 10: Day 23-24 Home Automation Using Raspberry Pi and Windows 10 IoT Lecture 161 Introduction & Getting Started Lecture 162 Hardware and Software Requirements Lecture 163 Smart Home Rooms Setup Lecture 164 Devices and Rooms addressing Mechanism Lecture 165 Download and Install Fritzing Software Lecture 166 Circuit Schematic Part1 Lecture 167 Circuit Schematic Part2 Lecture 168 How to wire home appliances with Relay Module Lecture 169 How a Relay Module Works Lecture 170 Software and Communication Protocol Lecture 171 Software and Communication Protocol Example Lecture 172 Download and Install Arduino IDE Lecture 173 Arduino Coding Part1 Lecture 174 Arduino Coding Part2 Lecture 175 Arduino Coding Part3 Lecture 176 Download and Install Visual Studio for Coding Lecture 177 Download and Install Windows 10 IoT Core on SD Card Lecture 178 Windows Device Portal Walkthrough Lecture 179 Prepare Environment for Your First Code Lecture 180 Classes Diagram Lecture 181 User Interface Structure Explained Lecture 182 User Interface - Main Dashboard Part1 Lecture 183 User Interface - Main Dashboard Part2 Lecture 184 Practical Circuit Connection Lecture 185 Practical Testing Lecture 186 Hardware and Software Requirements Lecture 187 Download and Install Arduino Pro IDE Lecture 188 Download and Install Windows 10 IoT Core on SD Card Lecture 189 Windows Device Portal Walkthrough Lecture 190 Download and Install Visual Studio for Coding Lecture 191 I2C Overview Lecture 192 Arduino Wire Library Lecture 193 I2C Circuit Connection Lecture 194 Arduino Coding Lecture 195 Windows IoT User Interface Lecture 196 Windows IoT C Backend Coding Lecture 197 Practical Connection Lecture 198 Practical Testing Lecture 199 Where to use i2c communication Lecture 200 I2C Pins in Arduino Lecture 201 Arduino Wire Library I2C Functions Lecture 202 Arduino to Arduino I2C Communication Circuit Design Lecture 203 Arduino to Arduino I2C Communication coding Lecture 204 Arduino to DS1307 Time and Date Module Circuit Design Section 11: Day 26-36 Raspberry Pi Based SCADA System Lecture 205 Introduction Lecture 206 Introduction to SCADA Lecture 207 Functions and Alarms Lecture 208 Hardware and Software Requirements Lecture 209 Download and Install Arduino IDE Lecture 210 Arduino Board Lecture 211 Circuit Connection Lecture 212 Coding Lecture 213 Testing First Board Lecture 214 Important Concepts Lecture 215 Raspberry Pi Python Coding Lecture 216 Create SCADA Web Interface Lecture 217 Download and Install Raspian OS on Your Raspberry Pi Board Lecture 218 Enable SSH and Update Raspian Lecture 219 Final Practical Implementation Lecture 220 Quick Intro To Raspberry Pi World Lecture 221 10 Uses for Raspberry Pi Board Lecture 222 Different Versions of Raspberry Pi Lecture 223 Raspberry Pi Components Lecture 224 OS Versions Available for Raspberry Pi Lecture 225 Arduino Vs Raspberry Pi Vs BeagleBone Lecture 226 Course Material Works with any high-tech board! Lecture 227 What do you need to RunThe Raspberry Pi Lecture 228 Getting OS and Running Raspberry Pi Lecture 229 Setting Up Raspberry Pi for the First Time Lecture 230 Simulating Raspberry Pi Lecture 231 A Tour inside Raspberry Pi Operating System Lecture 232 Raspberry Pi Command Line Lecture 233 Updating Software Packages Lecture 234 Control Raspberry Pi Board From another device Lecture 235 Control Raspberry Pi from another Device using VNC Server Lecture 236 Assign A fix IP Address for Raspberry Pi Board Lecture 237 Connecting Raspberry Pi to another computer using Network Cable Lecture 238 Programming GPIO with Python Lecture 239 Python and Your First Code Lecture 240 Installing the Control Library Lecture 241 Example 1 Blinking Led Lecture 242 Example Two Reading Input Values From A Switch Lecture 243 Example Three Running the Led Using LDR Lecture 244 Example Four PIR Motion Detector Section 12: Day 37-38 Final Project Lecture 245 Final Course Project Section 13: Day 40-42 Raspberry Pi Final Certification Mastery: Test Your Skills Section 14: Day 43-45 What is next - Text Lecture Lecture 246 45-Day Raspberry Pi Bootcamp: What's Next? 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Free Download The Complete Sql Bootcamp A Step-By-Step Approach Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 660.91 MB | Duration: 2h 45m Master SQL What you'll learn Generate reports and address business challenges Write Complex Queries Using Common Table Expressions (CTEs) Lean about GROUP by clause Master SQL Joins and Window Functions (RANK, DENSE_RANK, ROW_NUMBER) Master SQL for Data Analytics and Business Intelligence Master SQL for Data Migration and Data Manipulation Create Database Objects Requirements No SQL experience is required, and you will learn all that you need. Description Brief Introduction:The Complete SQL Bootcamp is a hands-on course designed to take you from the basics to a professional level. This comprehensive course will explore the principles of relational databases and the robust SQL programming language. It will equip developers with vital SQL skills to write queries for single and multiple tables, manipulate data within those tables, and create database objects.Course Overview:This step-by-step SQL course is designed to improve your SQL skills and is ideal for students who want to become proficient in SQL. Led by an experienced SQL Developer Instructor, this course offers a well-organized and engaging learning experience for those who want to master SQL.Learning Objectives:By the end of the course, you will learn how to:Retrieve Data using basic SQL SELECT StatementsRestrict and Sort DataUse Aggregate FunctionsApply Conditional ExpressionsGenerate Reports with Aggregated Data Using Group FunctionsDisplay Data from Multiple Tables Using JoinsUtilize Window FunctionsWork with Common Table Expressions (CTEs) using the WITH clauseManage Data using Subqueries and Advanced QueriesManage Tables using DML StatementsCreate Sequences, Synonyms, Indexes, Views, and Schema ObjectsWho is this course for?This course is designed for learners at all levels, from beginners looking for a solid foundation to SQL professionals striving for mastery. No prior knowledge is necessary. It is suitable for users of any database, including Oracle, MySQL, Microsoft SQL Server, Amazon Redshift, and MySQL. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Database Server Lecture 3 Installing PostgreSQL on Windows Lecture 4 Installing PostgreSQL on MacOS Lecture 5 Entity Relationship Model Lecture 6 Data Modelling and Design Lecture 7 pgAdmin Introduction Section 2: Basic Select Statement Lecture 8 Basic Select Statement Lecture 9 Literal(character, String) Lecture 10 Literal(constant) Lecture 11 Non-numeric Literals Lecture 12 Numeric Literals Lecture 13 Arithmetic Expression Operators Lecture 14 Mathematical Operator Precedence Lecture 15 Using aliases Lecture 16 Escape character sequence Lecture 17 Concatenation Operator Lecture 18 Comments Within SQL Statements code Section 3: Data Types Lecture 19 Data Types Lecture 20 Cast Function(CAST()) and cast operator(::) Lecture 21 Numeric Data Types Lecture 22 Character Data Types Lecture 23 Date Time Data Types Lecture 24 Boolean Data Type Section 4: Selecting from a table Lecture 25 SELECTING columns or expressions FROM a table Lecture 26 Selecting All Columns Lecture 27 Selecting Specific Columns or Expressions Lecture 28 Using Column Aliases Lecture 29 Eliminating duplicate rows Lecture 30 SELECT from a generated (VALUES Lists) Section 5: WHERE clause and ORDER BY clause Lecture 31 Using WHERE Clause Lecture 32 Comparison Operators Lecture 33 Match any Range search condition([NOT] BETWEEN ) Lecture 34 Match any of a list of values ([NOT] IN ) Lecture 35 Pattern match search condition ([NOT] LIKE ) Lecture 36 Using ( IS[NOT] NULL ) Conditions Lecture 37 Using the AND Operator Lecture 38 Using the OR Operator Lecture 39 Rules of Precedence(Order of operation ) Lecture 40 ORDER BY clause Lecture 41 OFFSET Lecture 42 FETCH Lecture 43 LIMIT Lecture 44 OFFSET and FETCH Lecture 45 OFFSET and LIMIT Section 6: Functions and Operators Lecture 46 Functions and Operators Lecture 47 String functions and Operators (String Concatenation) Lecture 48 String functions(Case Conversion) Lecture 49 Show part of a string(LEFT,RIGHT, SUBSTR) Lecture 50 Remove from a String(TRIM,LTRIM,RTRIM) Lecture 51 Add and Replace characters in a String(LPAD, RPAD, REPLACE) Lecture 52 Length of string(LENGTH) Lecture 53 Using MODULUS Function Lecture 54 Using CEILING and FLOOR Function Lecture 55 Using ROUND and TRUNCATE Function Lecture 56 (Date , Time Functions) Section 7: Regular Expression Lecture 57 Introduction Lecture 58 POSIX Regular Expressions Lecture 59 Regular Expression Atoms Lecture 60 Literal Characters Lecture 61 Dot : . Lecture 62 Regular Expression Constraints (also called Anchors): ^, $ Lecture 63 Regular Expression Quantifiers: { } Lecture 64 Bracket Expressions (Character classes):[ ] Lecture 65 Escaping characters: \ Lecture 66 Groups(Parentheses): ( ) Lecture 67 Alternatives: Lecture 68 REGEXP_COUNT Lecture 69 REGEXP_INSTR Lecture 70 REGEXP_LIKE Lecture 71 REGEXP_REPLACE Lecture 72 REGEXP_SUBSTR Section 8: Conditional Expressions Lecture 73 Conditional Expressions Lecture 74 CASE Statement Lecture 75 NULLIF Lecture 76 COALESCE Lecture 77 LEAST and GREATEST Section 9: GROUP BY and HAVING Clauses Lecture 78 Aggregate Functions Lecture 79 Using Aggregate Functions on the entire column data set Lecture 80 Using Aggregate Functions with WHERE clause Lecture 81 COUNT Aggregate Function Lecture 82 Handling Null values in Aggregate Functions Lecture 83 GROUP BY Clause Lecture 84 GROUP BY Clause(Grouping by Multiple Columns) Lecture 85 HAVING Clause (Filter Groups using Aggregated column) Section 10: Generating Reports with (CUBE, ROLLUP, GROUPING SET) Lecture 86 Generating Reports by Grouping Related Data_ Lecture 87 ROLLUP Lecture 88 CUBE Lecture 89 GROUPING Lecture 90 GROUPING SETS Section 11: Joins Lecture 91 Joining Multiple Tables Lecture 92 Table aliases Lecture 93 Types of JOINS Lecture 94 INNER JOIN(ON clause, USING clause) Lecture 95 LEFT OUTER JOIN(ON clause) Lecture 96 RIGHT OUTER JOIN(ON clause) Lecture 97 FULL OUTER JOIN(ON clause) Lecture 98 CROSS JOIN Section 12: Window Functions (RANK, DENSE_RANK, ROW_NUMBER) Lecture 99 Windowing Lecture 100 Windowing calculations(aggregate function) Lecture 101 Window Functions Lecture 102 Window Function OVER(ORDER BY order_list ) clause Lecture 103 Window Function OVER(PARTITION BY ORDER BY ) clause Lecture 104 Window Function OVER() without "window_definition" Lecture 105 Window Function OVER(PARTITION BY ) clause Lecture 106 WINDOW clause Section 13: Common Table Expressions (WITH Clause) Lecture 107 Using WITH Clause( split complicated queries into smaller parts) Lecture 108 Purpose and Benefits of the WITH Clause Lecture 109 Multiple Common Table Expressions (CTEs) Section 14: Subqueries Lecture 110 SUBQUERY Lecture 111 Scalar subquery Lecture 112 Row subquery Lecture 113 Subquery Expressions Lecture 114 Multi-Row Subquery (IN, SOME/ANY, ALL) Lecture 115 Multi-Row Subquery ([NOT] IN) Lecture 116 Multi-Row Subquery ( ANY/SOME) Lecture 117 Table subquery(Inline View) Lecture 118 Multi-Row Subquery ( ALL) Lecture 119 Correlated Subquery Lecture 120[NOT] EXISTS Subquery Expressions Section 15: Set Operators(UNION, INTERSECT, EXCEPT) Lecture 121 Introduction Lecture 122 UNION[ ALL] Lecture 123 INTERSECT[ ALL ] Lecture 124 EXCEPT Section 16: Data Definition(Table) Lecture 125 Data definition language (DDL) Lecture 126 CREATE DATABASE Lecture 127 CREATE TABLE Lecture 128 CREATE TABLE with AS keyword Lecture 129 ALTER TABLE (ADD Column) Lecture 130 ALTER TABLE(DROP COLUMN) Lecture 131 ALTER ADD (Primary key ) Lecture 132 ALTER TABLE(ADD foreign key) Lecture 133 RENAME TABLE Lecture 134 RENAME Column Lecture 135 RENAME Constraint Lecture 136 Comment on a TABLE Lecture 137 ALTER TABLE(DROP COLUMN) Lecture 138 Remove TABLE comment Lecture 139 RENAME Column Lecture 140 TRUNCATE Lecture 141 DROP Section 17: Constraints Lecture 142 Check Constraint (column constraint, explicit constraint name ) Lecture 143 Check Constraint (column constraint, implicit constraint name ) Lecture 144 Check Constraint (table constraint, implicit constraint name ) Lecture 145 Check Constraint (table constraint, implicit constraint name ) Lecture 146 Not-Null Constraints (column constraint explicit) Lecture 147 Unique Constraints (column constraint, explicit constraint name ) Lecture 148 Unique Constraints (column constraint, implicit constraint name ) Lecture 149 Unique Constraints (table constraint, explicit constraint name ) Lecture 150 Unique Constraints (table constraint, implicit constraint name ) Lecture 151 Primary Keys (column constraint, implicit constraint name ) Lecture 152 Primary Keys (table constraint, implicit constraint name ) Lecture 153 Foreign Keys (table constraint, explicit constraint name ) Lecture 154 Foreign Keys (table constraint, implicit constraint name ) Lecture 155 Default (column constraint only ) Lecture 156 Clean-up Section 18: Data Manipulation Lecture 157 Data manipulation language (DML) Lecture 158 SELECT Lecture 159 INSERT Lecture 160 Basic INSERT using literal, expression, and DEFAULT method 1(column name Lecture 161 Basic INSERT using literal, expression, and DEFAULT method 2(values) Lecture 162 INSERT using query Lecture 163 INSERT Lecture 164 UPDATE Lecture 165 UPDATE specific values Lecture 166 UPDATE all values in column Lecture 167 UPDATE multiple columns Lecture 168 DELETE Lecture 169 Delete all rows Lecture 170 MERGE Lecture 171 Delete specific rows Lecture 172 Clean-up Section 19: Transaction Control Lecture 173 Disable auto-commit in pgAdmin4 37 Lecture 174 COMMIT Lecture 175 ROLLBACK Lecture 176 SAVEPOINT Section 20: Data Definition(Sequences) Lecture 177 CREATE SEQUENCE Lecture 178 Sequence Functions Lecture 179 NEXTVAL Lecture 180 CURRVAL Lecture 181 ALTER Sequence Lecture 182 RENAME a Sequence Lecture 183 COMMENT on Sequence Lecture 184 DROP sequence Section 21: Data Definition(Views) Lecture 185 Create a View Lecture 186 SELECT from a View Lecture 187 (OR REPLACE) keyword Lecture 188 ALTER VIEW Lecture 189 RENAME a View Lecture 190 COMMENT Lecture 191 Drop a View Lecture 192 Cleanup Section 22: Data Definition(Users, Roles) and Privileges Lecture 193 CREATE USER Lecture 194 CREATE ROLE Lecture 195 Data Control Language (DCL) Lecture 196 GRANT specific privileges to a role Lecture 197 GRANT ALL PRIVILEGES to a role Lecture 198 GRANT specific privileges to a user Lecture 199 GRANT(add members on the existing role) Lecture 200 REVOKE specific privileges from a role Lecture 201 REVOKE ALL PRIVILEGES from a role Lecture 202 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Free Download SAT Math Bootcamp - GUARANTEED HIGH SCORE! Published 10/2024 Created by Mushahid Osman MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 27 Lectures ( 3h 16m ) | Size: 4.2 GB "Master Key SAT Math Concepts: From Algebra to Trigonometry for Top Scores!" What you'll learn Learn all the necessary content related to the Math section of the SAT Learn effective strategies and techniques to work efficiently and quickly through the test. You'll possess the capability to tackle any math problem without relying on a calculator with such rapidity and precision that will lead to a high score. Get the real life feeling of the actual SAT with problems for all topics and a practice test that is comprehensive, covering all aspects of the SAT math section Requirements No math expertise required. Course is made on the assumption that every student has 0 math knowledge and will be able to train them up from scratch to get an elite math score on the SAT. Description Unlock your full potential with our comprehensive SAT Math Bootcamp! This course is designed to help you master all key math topics tested on the SAT, from basic algebra to advanced trigonometry. Whether you're struggling with linear equations, tackling geometry problems, or preparing for tricky statistics questions, this course breaks down complex concepts into easy-to-understand lessons. With step-by-step explanations, real SAT practice problems, and strategies for maximizing your score, you'll gain the confidence and skills needed to excel on test day. Perfect for students at any level looking to boost their math performance and achieve top SAT results.Our SAT Math Bootcamp includes detailed video lectures, interactive quizzes, and full-length practice tests to simulate the actual exam experience. You'll also get downloadable worksheets and formula sheets to reinforce key concepts. Learn time management techniques to solve problems quickly and accurately, and discover how to avoid common SAT traps. Whether you're aiming for a perfect score or just looking to improve, this course provides the tools and support to help you succeed. Join today and take the next step toward achieving your dream SAT score!In addition, you'll gain access to personalized study plans tailored to your learning pace. Let's get Started! Who this course is for Students who will take the SAT soon and want to get a perfect math score on the SAT. Homepage https://www.udemy.com/course/sat-math-bootcamp-guaranteed-high-score/ Screenshot Rapidgator https://rg.to/file/22b24568b7061dfce68b4bcff6229ac9/zvbid.SAT.Math.Bootcamp.GUARANTEED.HIGH.SCORE.part3.rar.html https://rg.to/file/388de2509701bc84da9fea5272b29453/zvbid.SAT.Math.Bootcamp.GUARANTEED.HIGH.SCORE.part5.rar.html https://rg.to/file/45c94c6031fa16118ea5a5270307452a/zvbid.SAT.Math.Bootcamp.GUARANTEED.HIGH.SCORE.part4.rar.html https://rg.to/file/eaadf1ddfa00ff1fb3494953b8e2c09c/zvbid.SAT.Math.Bootcamp.GUARANTEED.HIGH.SCORE.part2.rar.html https://rg.to/file/f7e6825ebbab51130b3983d95d2f5ecb/zvbid.SAT.Math.Bootcamp.GUARANTEED.HIGH.SCORE.part1.rar.html Fikper Free Download https://fikper.com/2Chvwdrq9p/zvbid.SAT.Math.Bootcamp.GUARANTEED.HIGH.SCORE.part2.rar.html https://fikper.com/EbVL6IkxRs/zvbid.SAT.Math.Bootcamp.GUARANTEED.HIGH.SCORE.part5.rar.html https://fikper.com/Y7hpvs18Ru/zvbid.SAT.Math.Bootcamp.GUARANTEED.HIGH.SCORE.part4.rar.html https://fikper.com/pHlnDyG7gw/zvbid.SAT.Math.Bootcamp.GUARANTEED.HIGH.SCORE.part3.rar.html https://fikper.com/uX1ESTTCgu/zvbid.SAT.Math.Bootcamp.GUARANTEED.HIGH.SCORE.part1.rar.html No Password - Links are Interchangeable

Free Download Python Bootcamp and Introduction to Artificial Intelligence Last updated 8/2024 Duration: 5h47m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 6.78 GB Genre: eLearning | Language: English Master Python Programming and Dive into the World of AI: A Beginner-Friendly Journey from Coding Basics to AI Concepts What you'll learn Gain a strong understanding of Python, including data types, operators, control structures, functions, and classes, enabling you to write efficient and organize Apply Python concepts to solve real-world problems, automate tasks, and create projects, enhancing your logical and algorithmic thinking. Learn foundational concepts of Artificial Intelligence and Machine Learning, including key topics like supervised and unsupervised learning. Use Python libraries like TensorFlow, Keras, and scikit-learn to build, train, and evaluate basic AI models, gaining hands-on experience in AI and ML. Requirements No Prior Programming Experience Needed: This course is designed for absolute beginners, so no previous programming experience is required. We'll start from the basics and guide you through each step. Basic Computer Skills: Familiarity with using a computer, including navigating files and installing software, will be helpful but not mandatory. A Willingness to Learn: Bring your enthusiasm and curiosity! A proactive attitude towards learning will help you get the most out of the course. Access to a Computer and Internet Connection: You'll need a computer (Windows, macOS, or Linux) with internet access to download and install Python, follow along with the lessons, and practice coding. Description Welcome to the Python Bootcamp and Introduction to Artificial Intelligence , your comprehensive guide to mastering Python programming and exploring the exciting world of Artificial Intelligence. This course is designed for beginners and those with little to no programming experience who want to build a strong foundation in Python and gain an introductory understanding of AI. Throughout this course, you will Learn Python from Scratch : Start with the basics of Python programming, including variables, data types, control flow, functions, and modules. You'll build your coding skills step by step, working on real-world projects and examples. Explore Advanced Python Concepts : As you progress, you'll dive into more advanced topics such as object-oriented programming (OOP), file handling, and data manipulation. These skills will prepare you for more complex coding challenges. Introduction to AI and Machine Learning : Transition from Python programming to understanding the fundamentals of AI and Machine Learning. Learn key concepts like supervised and unsupervised learning, and discover how AI is applied in various industries. 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Free Download Penetration Testing Bootcamp Beginner To Advanced Hacker Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.20 GB | Duration: 4h 28m "A Step-by-Step Guide to Mastering Offensive Security Skills" What you'll learn Linux server and services configuration Learn CTF Lab Hacking BurpSuite OWASP top 10 in Depth Requirements Basic Ethical Hacking Linux Basic knowledged Networking Basic knowledged Description Welcome to Penetration Testing Bootcamp: Beginner to Advanced Hacker here you are going ti learn Burp Suite, OWASP Top 10, and CTF Mastery, a comprehensive course designed by Vishal Waghmare to help you become proficient in web security, penetration testing, and mastering Capture the Flag (CTF) challenges. Whether you are a beginner or an aspiring cybersecurity professional, this course will equip you with the skills to identify, exploit, and mitigate vulnerabilities in web applications using industry-standard tools and techniques.What You Will Learn:Introduction to Burp Suite: Master the fundamentals of Burp Suite, one of the most powerful tools for web application security testing. Learn how to configure and use it efficiently for scanning, analyzing, and exploiting vulnerabilities.OWASP Top 10 Explained: Gain a deep understanding of the most critical web application security risks. Learn how to identify and prevent these vulnerabilities such as SQL Injection, Cross-Site Scripting (XSS), Broken Authentication, Security Misconfigurations, and more.Hands-on CTF Challenges: Apply your knowledge in practical, real-world scenarios with Capture the Flag challenges. Strengthen your problem-solving and hacking skills by exploiting vulnerabilities in simulated web environments.Practical Exploitation Techniques: Learn how to exploit vulnerabilities step-by-step and understand how attackers think. Develop your ability to test and secure applications against attacks.Reporting and Mitigation: Understand how to document vulnerabilities and remediation strategies effectively. Learn how to communicate findings in a professional penetration testing report.Key Features:Hands-On Labs: Get access to real-world scenarios with interactive labs and CTF challenges that allow you to practice and improve your web security skills.Structured Learning Path: Progress from the basics of Burp Suite and OWASP Top 10 to advanced penetration testing techniques.CTF Competitions: Parti[beeep]te in Capture the Flag exercises to simulate real-world hacking scenarios.Lifetime Access & Community Support: Join an active community of learners and cybersecurity enthusiasts to enhance your learning experience.Who Is This Course For?Beginners who want to get started with web application security.Ethical Hackers & Penetration Testers looking to improve their web vulnerability assessment and exploitation skills.CTF Enthusiasts eager to sharpen their skills in cybersecurity competitions.Developers who want to secure their applications by understanding security risks and mitigation strategies.By the end of this course, you'll have a strong foundation in Burp Suite, a deep understanding of the OWASP Top 10, and the confidence to tackle CTF challenges like a pro. 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Free Download Level 1 CFA® Exam Prep Bootcamp (Part 1/2) Last updated 6/2024 Created by 365 Careers,Ivan Kitov, CFA MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 373 Lectures ( 26h 3m ) | Size: 5.6 GB Level 1 CFA® Bootcamp: Ethics, Quantiative Methods, Corporate Finance, Economics, and Alternative Investments What you'll learn Prepare for the CFA® Level 1 exam Earn one of the most prestigious designations in finance and investment management Acquire a solid understanding of key business and finance disciplines Impress interviewers by showing a strong an understanding of finance fundamentals and advanced topics concepts Study Ethics, Quantitative Methods (Statistics and Probability), Corporate Finance, Economics, and Alternative Investments Understand the Global Investment Performance Standards (GIPS) Learn about the time value of money, discounted cash flow applications, statistical concepts and market returns, probability and probability distributions, sampling and estimation, hypothesis testing, and technical analysis Acquire an understanding of corporate governance, capital budgeting, cost of capital, measures of leverage, and working capital management Gain an understanding of fundamental topics like demand and supply, firm and market structure, economic growth, business cycles, monetary trade and capital flows, and currency exchange rates Requirements No prior experience is required. We will start from the very basics Description We will help you prepare for the CFA® Level 1 Exam.A record number of candidates registers to take the CFA® exams. Pursuing the credential is a rigorous process, which requires a lot of time and effort. And yet, many people around the world sign up for the CFA® exams. The reason is that a CFA® designation can move your resume to the top of the pile in a competitive job market.We are proud to present to you a training bootcamp created by 365's team that aims to prepare you for the CFA® Level 1 exam provided by CFA Institute.The five topics we will cover here are:· Ethical and Professional Standards· Portfolio Management· Economics· Corporate Finance· Alternative InvestmentsThis Bootcamp has been designed as a supplement to the official study materials provided by the CFA Institute and should not be seen as a substitute for their materials. Our goal is to make your life a bit easier. The lessons we have prepared are consistent with the current CFA® Level 1 curriculum and exam structure (and will continue to be updated to ensure consistency over time). We cover all Learning Outcome Statements (LOS), and we have dedicated a separate video to each LOS. This ensures that together we will study the concepts that are likely to be tested on the exam.Why take our Bootcamp?· A successful track record on Udemy - over 3,000,000 students have enrolled in our courses· Experienced team - the authors of this course are finance professionals who have acquired significant practical experience (they have worked for companies like HSBC, Morgan Stanley, PwC, Coca Cola, etc.)· Carefully scripted and animated tutorials with plenty of real-world examples· A variety of practice questions at the end of each Reading to test your progress· Extensive case studies that will help you reinforce what you have learned· Excellent support: If you don't understand a concept or you simply want to drop us a line, you'll receive an answer within one or two business days· Dynamic: We don't want to waste your time! The instructors keep up a very good pace throughout the whole course.We will cover a wide variety of topics, including:EthicsEthics and trust in the investment profession, Code of Ethics and Standards of Professional Conduct, the Global Investment Performance Standards (GIPS)Quantitative MethodsThe time value of money, Discounted cash flow applications, Statistical concepts and market returns, Probability concepts, Common probability distributions, Sampling and estimation, Hypothesis testing, Technical analysisCorporate FinanceCorporate governance, Capital budgeting, Cost of capital, Measures of leverage, Working capital managementEconomicsDemand and supply analysis, The firm and market structures, Aggregate output and economic growth, Understanding business cycles, Monetary and fiscal policy, International trade and capital flows, Currency exchange ratesAlternative InvestmentsCategories of alternative investments, Potential benefits of alternative investments, Issues in valuing and calculating returns on alternative investmentsEach of these topics builds on the previous ones. And this is one of the considerable benefits you will gain by taking our Bootcamp. You will acquire valuable theoretical and practical skills that are necessary for a successful career in the world of investment management, investment banking, and corporate finance.Moreover, our focus is to teach topics that flow smoothly and complement each other. The course covers exam concepts at a fraction of the cost of traditional programs (not to mention the amount of time you will save).We are happy to offer an unconditional 30-day money-back guaranteein full. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it.Why wait? Every day is a missed opportunity.Click the "Buy Now" button and become a part of our program today.*CFA Institute does not endorse, promote, review or warrant the accuracy or quality of the products or services offered by 365 Careers or Udemy. 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Free Download Hands On Python Data Science - Data Science Bootcamp Published 10/2024 Created by Sayman Creative Institute MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 24 Lectures ( 5h 40m ) | Size: 1.55 GB Master Python for Data Science with Real-World Applications: Dive Deep into Data Analysis, Machine Learning What you'll learn A strong foundation in Python programming concepts, including variables, data types, control flow, and functions. Effective use of various data structures, such as lists, tuples, dictionaries, and sets. Proficiency in the NumPy library for efficient numerical computations and array manipulation. Skillful application of the Pandas library for data cleaning, filtering, grouping, and aggregation. Exposure to fundamental machine learning concepts and algorithms using Scikit-learn. Requirements No experience required Description This comprehensive course is designed for both beginners and those looking to sharpen their data science skills. Through a step-by-step approach, you'll learn to harness Python's powerful libraries like Pandas, NumPy, Matplotlib, and Scikit-Learn, enabling you to analyze, visualize, and draw insights from data like a pro.What You'll Learn:Python Fundamentals for Data Science: Master the essentials of Python programming and understand how to apply them in data science.Data Analysis & Manipulation: Explore how to clean, filter, and manipulate large datasets using Pandas and NumPy.Data Visualization: Create stunning visualizations using Matplotlib and Seaborn to communicate insights effectively.Machine Learning Made Easy: Dive into key algorithms such as regression, classification, and clustering using Scikit-Learn, and apply them to real-world projects.Real-World Projects: Work on hands-on projects, including data analysis and predictive modeling, that will give you a portfolio to showcase your skills.Why Enroll in This Course?Hands-On Learning: Get practical experience with coding exercises, quizzes, and real-world projects.Industry-Relevant Skills: Acquire the tools and techniques used by top data scientists in the industry.Guided Support: Learn with easy-to-follow lessons, and get answers to your questions through interactive Q&A.Lifetime Access: Revisit lessons anytime, anywhere, and continue your learning journey at your own pace.Whether you're an aspiring data scientist, analyst, or someone looking to make data-driven decisions, this bootcamp is your gateway to a successful data science career. Enroll now and transform raw data into actionable insights! Who this course is for Individuals with no prior programming experience but a desire to learn data science. Homepage https://www.udemy.com/course/hands-on-python-data-science-data-science-bootcamp/ Screenshot Rapidgator https://rg.to/file/1d480f79a95ea852a6eacc8989996888/frgwj.Hands.On.Python.Data.Science..Data.Science.Bootcamp.part2.rar.html https://rg.to/file/c00f05967df0abd13890e035747c46fc/frgwj.Hands.On.Python.Data.Science..Data.Science.Bootcamp.part1.rar.html Fikper Free Download https://fikper.com/SWX9aLTkSJ/frgwj.Hands.On.Python.Data.Science..Data.Science.Bootcamp.part2.rar.html https://fikper.com/qxDzGCIqhQ/frgwj.Hands.On.Python.Data.Science..Data.Science.Bootcamp.part1.rar.html No Password - Links are Interchangeable

Free Download Game Development Bootcamp 3D Games With Unity Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 3.45 GB | Duration: 4h 42m Master Creating 2D and 3D Games with Unity from Scratch What you'll learn Set up Unity projects with proper folder structure and asset management. Navigate Unity's windows, asset store, and package manager effectively. Create player controller scripts to handle player movement and animations. Implement rigidbody-based movement and jumping mechanics. Requirements A computer capable of running Unity. Description This course offers a complete introduction to Unity game development, guiding you through building both 2D and 3D games from scratch. You'll start by setting up Unity with the proper folder structure and asset management techniques. We'll explore Unity's windows, asset store, and package manager to help you access essential tools and assets quickly.Through practical exercises, you'll learn how to create player controllers, implement rigidbody-based movement, and add animations. You'll also use prefabs to streamline your game elements and build a camera-follow script to enhance gameplay. In addition, we'll dive into tilemaps for level creation and fix collider issues, ensuring smooth player interactions.The course also covers creating start menus, pause menus, and game-over UIs to give your game a professional touch. Finally, you'll explore 3D mechanics by designing player controllers for 3D space, rotating players, and creating Game and Player Manager scripts. You'll also add weapons for interactive gameplay elements.By the end of the course, you'll have the skills and confidence to create, build, and deploy your own Unity projects across platforms. Start your game development journey today, unlock the potential to create engaging games, and turn your ideas into reality! Go from a beginner to developer today. Overview Section 1: Introduction Lecture 1 Setup Lecture 2 Folder Structure Lecture 3 Unity Main Windows Lecture 4 Unity Asset Store and Package Manager Section 2: Module 1 Lecture 5 Overview of game elements Lecture 6 Create a Player controller script Lecture 7 Move Player Using (Rigidbody) Lecture 8 Player Jumping Lecture 9 Creating animations Lecture 10 Add Animations to player Lecture 11 Introduction about Prefabs Lecture 12 Camera Follow script Lecture 13 Token prefab creation Lecture 14 Tilemaps in unity Lecture 15 Create a level Lecture 16 Tilemap collider Fix Lecture 17 Create Dead Zones Lecture 18 Create Level Complete Zone Lecture 19 Create start menu Lecture 20 Create in- game menu Lecture 21 Create Pause, Game Over UI Lecture 22 Learn to create build Section 3: Module 2 Lecture 23 Intro to 3D Lecture 24 Create Player for 3d space & Player controller Lecture 25 Player Rotate Lecture 26 Create Player Manager script Lecture 27 Create Game Manager Lecture 28 Create Weapons Lecture 29 Create LMG and Weapon switching Beginners interested in game development using Unity.,Indie developers looking to build both 2D and 3D games. Screenshot Homepage https://www.udemy.com/course/game-development-bootcamp-3d-games-with-unity/ Rapidgator https://rg.to/file/742267f4f47f759b29b90498796e2889/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part3.rar.html https://rg.to/file/882af4169c8a3bc6d30116747bffc4c7/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part1.rar.html https://rg.to/file/8e35e7f578c69e9dd2177a9816272ce8/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part2.rar.html https://rg.to/file/d2dd98cc492b8c85bf1acc175465d05b/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part4.rar.html Fikper Free Download https://fikper.com/22kMwhd8yN/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part3.rar.html https://fikper.com/aEWLiwiXGh/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part4.rar.html https://fikper.com/efEpHU0Zkw/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part1.rar.html https://fikper.com/kpsRTHeU8p/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part2.rar.html No Password - Links are Interchangeable

Free Download Data Structures and Algorithms Simplified Bootcamp Published 10/2024 Created by Bonaventure Ogeto MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 42 Lectures ( 7h 49m ) | Size: 2.3 GB Bite-Sized Lessons for Beginners and Developers: Learn, Practice, and Master Data Structures, Algorithms What you'll learn Understand and implement common data structures like arrays, linked lists, stacks, and queues. Learn various searching and sorting algorithms, including linear search, binary search, and quicksort. Apply key concepts of algorithms to solve real-world problems efficiently. Master algorithmic thinking, enabling optimal solutions for technical interview questions and coding challenges. Develop problem-solving skills, tackling challenges like Fibonacci, factorial, and backtracking problems. Requirements No prior experience in data structures and algorithms is required. This course is beginner-friendly. Basic understanding of any programming language (e.g., Python, JavaScript, C++) is helpful but not mandatory. A computer and internet connection to follow along with coding exercises and quizzes. Willingness to solve problems and practice consistently Description Data Structures and Algorithms Simplified BootcampMaster the Building Blocks of Coding, Ace Your Interviews, and Solve Real-World Problems with Confidence!Are you struggling to grasp the complex parts of data structures and algorithms? Or maybe you're preparing for a coding interview and need a refresher? Whether a beginner or an experienced developer, this bootcamp series offers bite-sized, easy-to-understand lessons to help you level up your coding skills-step by step.What You'll Learn:Data Structures: Master arrays, linked lists, stacks, queues, trees, graphs, and hash tables Algorithms: Understand sorting, searching, recursion, dynamic programming, greedy algorithms, and backtracking Problem-Solving Techniques: Learn patterns to tackle technical challenges with ease Interview Prep: Get tips and practice problems to crack coding interviews at top tech companies Real-World Applications: Discover how data structures and algorithms are applied in search engines, social networks, and more Why This Course?Bite-Sized Lessons: Perfect for learners with busy schedules-make meaningful progress in minutes Beginner-Friendly & Refreshing for Experts: Start from scratch or jump straight to advanced topics Hands-On Learning: Real coding examples and practical problems after every concept Clear Explanations: No jargon-just easy-to-follow lessons designed to build your confidence Lifetime Access: Revisit any topic whenever you need.Who Is This Course For?Aspiring developers who want to build a strong foundation in coding Developers preparing for technical interviews or coding challenges CS students needing extra support to ace data structures and algorithmsAnyone looking to solve problems faster and write efficient code By the End of This Course, You Will:Master key concepts in data structures and algorithms Be interview-ready with practical coding skills and problem-solving techniques Confidently write optimized code for real-world applications Gain the skills employers seek in top software development roles Join us now and build the skills you need to become a confident programmer one step at a time. Who this course is for Beginners in programming who want to build a strong foundation in data structures and algorithms. Developers preparing for coding interviews or technical assessments for software engineering roles. Students or professionals who want a refresher in data structures and algorithms for career advancement. Anyone interested in improving problem-solving skills and optimizing code performance. Computer science enthusiasts or professionals aiming to improve their understanding of algorithmic thinking and optimize solutions for complex problems. Homepage https://www.udemy.com/course/data-structures-and-algorithms-simplified-bootcamp/ Screenshot Rapidgator https://rg.to/file/0f24898ba0c5c6f82a13dc2374e26428/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part1.rar.html https://rg.to/file/3facc7c3a3db3c0a8fe1a012ad1e7b50/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part3.rar.html https://rg.to/file/65b8c4632f45dc3524edc447face38a1/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part2.rar.html Fikper Free Download https://fikper.com/MzVeEyrvPt/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part3.rar.html https://fikper.com/czR6nDnSVx/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part2.rar.html https://fikper.com/tyA7XPqzMg/xhpmt.Data.Structures.and.Algorithms.Simplified.Bootcamp.part1.rar.html No Password - Links are Interchangeable

Free Download Complete Mlops Bootcamp With 10+ End To End Ml Projects Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 50.09 GB | Duration: 47h 39m End-to-End MLOps Bootcamp: Build, Deploy, and Automate ML with Data Science Projects What you'll learn Build scalable MLOps pipelines with Git, Docker, and CI/CD integration. Implement MLFlow and DVC for model versioning and experiment tracking. Deploy end-to-end ML models with AWS SageMaker and Huggingface. Automate ETL pipelines and ML workflows using Apache Airflow and Astro. Monitor ML systems using Grafana and PostgreSQL for real-time insights. Requirements Basic understanding of Python programming. Familiarity with machine learning concepts and algorithms. Basic knowledge of Git and GitHub for version control. Understanding of Docker for containerization (optional but helpful). Awareness of cloud computing concepts (AWS preferred, but not mandatory). Description Welcome to the Complete MLOps Bootcamp With End to End Data Science Project, your one-stop guide to mastering MLOps from scratch! This course is designed to equip you with the skills and knowledge necessary to implement and automate the deployment, monitoring, and scaling of machine learning models using the latest MLOps tools and frameworks.In today's world, simply building machine learning models is not enough. To succeed as a data scientist, machine learning engineer, or DevOps professional, you need to understand how to take your models from development to production while ensuring scalability, reliability, and continuous monitoring. This is where MLOps (Machine Learning Operations) comes into play, combining the best practices of DevOps and ML model lifecycle management.This bootcamp will not only introduce you to the concepts of MLOps but will take you through real-world, hands-on data science projects. By the end of the course, you will be able to confidently build, deploy, and manage machine learning pipelines in production environments.What You'll Learn:Python Prerequisites: Brush up on essential Python programming skills needed for building data science and MLOps pipelines.Version Control with Git & GitHub: Understand how to manage code and collaborate on machine learning projects using Git and GitHub.Docker & Containerization: Learn the fundamentals of Docker and how to containerize your ML models for easy and scalable deployment.MLflow for Experiment Tracking: Master the use of MLFlow to track experiments, manage models, and seamlessly integrate with AWS Cloud for model management and deployment.DVC for Data Versioning: Learn Data Version Control (DVC) to manage datasets, models, and versioning efficiently, ensuring reproducibility in your ML pipelines.DagsHub for Collaborative MLOps: Utilize DagsHub for integrated tracking of your code, data, and ML experiments using Git and DVC.Apache Airflow with Astro: Automate and orchestrate your ML workflows using Airflow with Astronomer, ensuring your pipelines run seamlessly.CI/CD Pipeline with GitHub Actions: Implement a continuous integration/continuous deployment (CI/CD) pipeline to automate testing, model deployment, and updates.ETL Pipeline Implementation: Build and deploy complete ETL (Extract, Transform, Load) pipelines using Apache Airflow, integrating data sources for machine learning models.End-to-End Machine Learning Project: Walk through a full ML project from data collection to deployment, ensuring you understand how to apply MLOps in practice.End-to-End NLP Project with Huggingface: Work on a real-world NLP project, learning how to deploy and monitor transformer models using Huggingface tools.AWS SageMaker for ML Deployment: Learn how to deploy, scale, and monitor your models on AWS SageMaker, integrating seamlessly with other AWS services.Gen AI with AWS Cloud: Explore Generative AI techniques and learn how to deploy these models using AWS cloud infrastructure.Monitoring with Grafana & PostgreSQL: Monitor the performance of your models and pipelines using Grafana dashboards connected to PostgreSQL for real-time insights.Who is this Course For?Data Scientists and Machine Learning Engineers aiming to scale their ML models and automate deployments.DevOps professionals looking to integrate machine learning pipelines into production environments.Software Engineers transitioning into the MLOps domain.IT professionals interested in end-to-end deployment of machine learning models with real-world data science projects.Why Enroll?By enrolling in this course, you will gain hands-on experience with cutting-edge tools and techniques used in the industry today. Whether you're a data science professional or a beginner looking to expand your skill set, this course will guide you through real-world projects, ensuring you gain the practical knowledge needed to implement MLOps workflows successfully.Enroll now and take your data science skills to the next level with MLOps! Overview Section 1: Introduction Lecture 1 Introduction Section 2: IDE's And Code Editors You Can Use Lecture 2 Getting Started With Google Colab Lecture 3 Getting Started With Github Codespace Lecture 4 Anaconda And VS Code Installation Section 3: Python Prerequisites Lecture 5 Getting Started With VS Code And Environment Lecture 6 Python Basics-Syntax and Semantics Lecture 7 Variables In Python Lecture 8 Basics Data Types Lecture 9 Operators In Python Lecture 10 Conditional Statements In Python Lecture 11 Loops In Python Lecture 12 Practical Examples Of List Lecture 13 Sets In Python Lecture 14 Tuples In Python Lecture 15 Dictionaries In Python Lecture 16 Functions In Python Lecture 17 Python Function Examples Lecture 18 Lambda Functions In Python Lecture 19 Map functions In Python Lecture 20 Python Filter Function Lecture 21 Import Modules And Packages In Python Lecture 22 Standard Library Overview Lecture 23 File Operation In Python Lecture 24 Working With File Paths Lecture 25 Exception Handling In Python Lecture 26 OOPS In Python Lecture 27 Inheritance In Python Lecture 28 Polymorphism In Python Lecture 29 Encapsulation In Python Lecture 30 Abstraction In Python Lecture 31 Magic Methods In Python Lecture 32 Custom Exception In Python Lecture 33 Operator OverLoading In Python Lecture 34 Iterators In Python Lecture 35 Generators In Python Lecture 36 Decorators In Python Lecture 37 Working With Numpy In Python Lecture 38 Pandas DataFrame And Series Lecture 39 Data Manipulation And Analysis Lecture 40 Data Source Reading Lecture 41 Logging In Python Lecture 42 Logging With Multiple Loggers Lecture 43 Logging In a Real World Examples Section 4: Complete Flask Tutorial Lecture 44 Introduction To Flask Framework Lecture 45 Understanding A Sample Flask Application Lecture 46 Integrating HTML With Flask Framework Lecture 47 HTTP Verbs Get And Post Lecture 48 Building Dynamic Url With Jinja 2 Lecture 49 Put Delete And API's In Flask Section 5: Git and Github Lecture 50 Getting Started With Git And Github Lecture 51 Part 2- Git Merge,Push, Checkout And Log With Commands Lecture 52 Part 3- Resolving Git Branch Merge Conflict Section 6: Complete MLFLOW Tutorials Lecture 53 Introduction To MLFLOW Lecture 54 Getting Started With MLFLOW Lecture 55 Creating MLFLOW Environment Lecture 56 Getting Started With MLFLow Tracking Server Lecture 57 Deep Diving Into MLFlow Experiments Lecture 58 Getting Started With MLFlow ML Project Lecture 59 First ML Project With MLFLOW Lecture 60 Inferencing Model Artifacts With MLFlow Inferencing Lecture 61 MLFLOW Model Registry Tracking Section 7: ML Project Integration With MLFLOW Tracking Lecture 62 Data Preparation House Price Prediction Lecture 63 Model Building And MLFLOW Tracking Section 8: Deep Learning ANN Model Building Integration With MLFLOW Lecture 64 ANN With MLFLOW- Part 1 Lecture 65 ANN with MLFLOW-Part 2 Section 9: Getting Started With DVC- Data Version Control Lecture 66 Introduction To DVC With Practical Implementation Section 10: Getting Started With Dagshub Lecture 67 Introduction To Dagshub Remote Repository Lecture 68 Creating First Remote Repo Using Dagshub Lecture 69 DVC With Dagshub Remote Repository Section 11: End To End Machine Learning Pipeline Using GIT, DVC,MLFLOW And DAGSHUB Lecture 70 Getting Started With Project Structure Lecture 71 Implemeting Data Preprocessing Pipeline Lecture 72 Implementing Model Training Pipeline with MLFLOW Setup Lecture 73 MLFLOW Experiment Tracking In Dagshub Lecture 74 ML Evaluation Piepline With MLFLOW Lecture 75 Run The Complete Pipeline With DVC Stage And Repro Section 12: MLFLOW With AWS Cloud Lecture 76 Introduction To MLFLOW In AWS Lecture 77 MLFLOW Project Set Up With Installation Lecture 78 Implementing The End To End Project With MLFLOW Lecture 79 AWS Cloud EC2,IAM,S3 Bucket Set Up Lecture 80 AWS EC2 Instance- Setting MLFLOW Tracking Server Section 13: Complete Basic To Advance Dockers Lecture 81 Introduction To Docker Series Lecture 82 What are Dockers And Containers Lecture 83 Docker Images vs Containers Lecture 84 Dockers vs Virtual Machines Lecture 85 Dockers Installation Lecture 86 Creating A Docker Image Lecture 87 Docker Basic Commands Lecture 88 Push Docker Image To Docker Hub Lecture 89 Docker Compose Section 14: Getting Started With Airflow Lecture 90 Introduction To Apache Airflow Lecture 91 Key Components Of Apache Airflow Lecture 92 Why Airflow For MLOPS Lecture 93 Setting Up Airflow With Astro Lecture 94 Building Your First DAG With Airflow Lecture 95 Designing Mathematical Calculation DAG With Airflow Lecture 96 Getting Started With TaskFlow API Using Apache Airflow Section 15: Airflow ETL Pipeline with Postgres and API Integration In ASTRO Cloud And AWS Lecture 97 Introduction To ETL Pipeline Lecture 98 ETL Problem Statement And Project Structure Set Up Lecture 99 Defining ETL DAG With Implementing Steps Lecture 100 Step 1- Setting Up Postgres And Creating Table Task In Postgres Lecture 101 Step 2- NASA API Integration With Extract Pipeline Lecture 102 Step 3- Building Transformation And Load Pipeline Lecture 103 ETL Pipeline Final Implementation With AirFlow Connection Set Up Lecture 104 ETL Pipeline Deployment In Astro Cloud And AWS Section 16: Introduction To Github Actions Lecture 105 What is Github Action and CI CD Pipeline Lecture 106 What is Developers Workflow With Examples Lecture 107 Practicals-Automate Testing Workflow With Python Section 17: End To End Github Action Workflow Project With Dockerhub Lecture 108 Github Action Workflow Project with Docker hub Lecture 109 Setting Project Structure With Github Repo Lecture 110 Setting Up Github Repository Lecture 111 Implementing Project With Flask And Dockers Lecture 112 Building the Yaml file for Dockers Section 18: Getting Started With Your First End To End Data Science Project With Deployment Lecture 113 Project Structure, Github Repo And Environment Set Up Lecture 114 Custom Logging Implementation Lecture 115 Common Utilities Functions Implementation Lecture 116 Step By Step Building Data Ingestion Pipeline- Part 1 Lecture 117 Data Ingestion Pipeline-Part 2 Lecture 118 Complete Data Validation Pipeline Implementation Lecture 119 Complete Data Transformation Pipeline Implementation Lecture 120 Model Trainer Pipeline Implementation Lecture 121 Model Evaluation Pipeline Implementation Lecture 122 Training And Prediction Pipeline With Flask App Section 19: End To End MLOPS Projects With ETL Pipelines- Building Network Security System Lecture 123 Project Structure Set up With Environment Lecture 124 Github Repository Set Up With VS Code Lecture 125 Packaging the Project With Setup.py Lecture 126 Logging And Exception Handling Implementation Lecture 127 Introduction To ETL Pipelines Lecture 128 Setting Up MongoDb Atlas Lecture 129 ETL Pipeline Setup With Python Lecture 130 Data Ingestion Architecture Lecture 131 Implementing Data Ingestion Configuration Lecture 132 Implementing Data Ingestions Component Lecture 133 Implementing Data Validation-Part 1 Lecture 134 Implementing Data Validation- Part 2 Lecture 135 Data Transformation Architecture Lecture 136 Data Transformation Implementation Lecture 137 Model Trainer-Part 1 Lecture 138 Model Trainer And Evaluation With Hyperparameter Tuning Lecture 139 Model Experiment Tracker With MLFlow Lecture 140 MLFLOW Experiment Tracking With Remote Respository Dagshub Lecture 141 Model Pusher Implementation Lecture 142 Model Training Pipeline Implementation Lecture 143 Batch Prediction Pipeline Implementation Lecture 144 Final Model And Artifacts Pusher To AWS S3 buckets Lecture 145 Building Docker Image And Github Actions Lecture 146 Github Action-Docker Image Push to AWS ECR Repo Implementation Lecture 147 Final Deployment To EC2 instance Section 20: End To End DS Project Implementation With Mulitple AWS,Azure Deployment Lecture 148 Github And Code Setup Lecture 149 Project structure Logging And Exception Lecture 150 Project Problem Statement EDA And Model Training Lecture 151 Data Ingestion Implementation Lecture 152 Data Transformation Implementation Lecture 153 Model Trainer Implementation Lecture 154 Hyperparameter Tuning Implementation Lecture 155 Building Prediction Pipeline Lecture 156 Deployment AWS Beanstalk Lecture 157 Deployment In EC2 Instance Lecture 158 Deployment In Azure Web App Section 21: Build, Train ,Deploy And Create Endpoints For ML Project Using AWS Sagemaker Lecture 159 Introduction To AWS Sagemaker Amd Project Set up Lecture 160 EDA,AWS IAM, S3 Set up With Data Ingestion Lecture 161 Implementing Training Script For AWS Sagemaker Lecture 162 Training With An On Spot Instance In AWS Sagemaker Lecture 163 Deployment Of Endpoint With AWS Sagemaker And Inferencing Section 22: Grafana-Open Source Tool For Data Visualization And Monitoring Lecture 164 Introduction To Grafana Open Source Tool Lecture 165 Grafana Cloud Set Up And Problem Statement Lecture 166 Visualization Implementation With Grafana Cloud And Postgresql In AWS Section 23: Generative AI Series With AWS LLMOPS Lecture 167 LifeCycle Of Gen AI Projects In Cloud Lecture 168 Blog Generation Generative AI App Using AWS Lambda And Bedrock Lecture 169 Deployment Of HuggingFace LLM Model In AWS Sagemaker Lecture 170 End To End GENAI App Using NVIDIA NIM Data Scientists and Machine Learning Engineers looking to scale and deploy ML models.,DevOps professionals wanting to integrate ML pipelines.,Software Engineers interested in transitioning to MLOps.,Beginners with basic ML knowledge aiming to learn end-to-end deployment.,IT professionals eager to understand MLOps tools and practices for real-world projects. 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Free Download Color Theory Bootcamp, Lessons 1-3 Bill Perkins | Duration: 10:20 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 14,7 GB | Language: English Disney Art Director and color expert, Bill Perkins takes you on a thrilling journey into the subject of color theory. This unique and comprehensive series will teach you how to think about the components of color, how to use color to create visual effects and mood, and how to quickly mix and block in color harmonies and other relationships. This course culminates with a Color Bootcamp where you will paint a series of timed references designed to "drill" core color concepts. 1.Color Theory I: Valuewith Bill Perkins In this video series, instructor Bill Perkins breaks down the complex topic of Color Theory in a clear and easy to understand way. In this first lesson Bill Perkins is focused on values and he will introduce the importance of establishing a strong Matrix and the mood by adjusting your Major and Minor Keys. He will also demonstrate the importance and differences between designing via Chiaroscuro and Notan and show you how you can utilize these schemes in your drawings and paintings. 3h 19m 30s 2.Color Theory I: Hue and Saturationwith Bill Perkins In this video lesson painter Bill will teach you how to create warm and cool tones by mixing dark and light colors together to achieve your desired results. Bill will paint three head painting demonstrations each with a different balance of hue and saturation to help you clearly analyze the use and impact of each combination in your own paintings. 3h 5m 56s 3.Color Theory I: Complementary Colorswith Bill Perkins In this third lesson of the series, instructor Bill Perkins will teach you how to play colors with or against one another to create different effects in your paintings. Bill will demonstrate these concepts with a still life painting with heavy contrast and a wide range of light and color. 3h 56m 10s Homepage https://www.nma.art/courses/color-theory-bootcamp/ Screenshot Rapidgator https://rg.to/file/2b4a8ff26b936c8fd796abade9e895a5/amgap.Color.Theory.Bootcamp.Lessons.13.part4.rar.html https://rg.to/file/3acbf5f96d535930e617f41bf80bbee1/amgap.Color.Theory.Bootcamp.Lessons.13.part2.rar.html https://rg.to/file/3f0bc2969c99e0881cb6e14fb01b9695/amgap.Color.Theory.Bootcamp.Lessons.13.part5.rar.html https://rg.to/file/8d6a6c9903223101e668a75c39346f9f/amgap.Color.Theory.Bootcamp.Lessons.13.part7.rar.html https://rg.to/file/ae095bec17db2615fffbd5574c79043b/amgap.Color.Theory.Bootcamp.Lessons.13.part8.rar.html https://rg.to/file/b6f3bde896ec5ab4183883863d487db3/amgap.Color.Theory.Bootcamp.Lessons.13.part1.rar.html https://rg.to/file/ce93471dd6bd6ca478610b03e19fd373/amgap.Color.Theory.Bootcamp.Lessons.13.part6.rar.html https://rg.to/file/f06570bd6b1f2a7487f205e6671a0d85/amgap.Color.Theory.Bootcamp.Lessons.13.part3.rar.html Fikper Free Download https://fikper.com/17BFnVWgT8/amgap.Color.Theory.Bootcamp.Lessons.13.part2.rar.html https://fikper.com/GRpqDnNMBr/amgap.Color.Theory.Bootcamp.Lessons.13.part7.rar.html https://fikper.com/H8AXZ3Yzz1/amgap.Color.Theory.Bootcamp.Lessons.13.part8.rar.html https://fikper.com/HsvbrDO5tC/amgap.Color.Theory.Bootcamp.Lessons.13.part3.rar.html https://fikper.com/PAcse3NhGy/amgap.Color.Theory.Bootcamp.Lessons.13.part1.rar.html https://fikper.com/WOzidG1oPo/amgap.Color.Theory.Bootcamp.Lessons.13.part6.rar.html https://fikper.com/kctIY8eGGr/amgap.Color.Theory.Bootcamp.Lessons.13.part4.rar.html https://fikper.com/t0MReEUzFy/amgap.Color.Theory.Bootcamp.Lessons.13.part5.rar.html No Password - Links are Interchangeable

Free Download 7 Days Of Hands-On Ai Development Bootcamp Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.21 GB | Duration: 3h 44m From Zero to AI: A Beginner's Guide to Building and Deploying AI Projects What you'll learn Build, train, and deploy machine learning models for real-world applications like classification, regression, and NLP tasks. Master essential AI concepts, including neural networks, data preprocessing, model evaluation, and text processing. Deploy AI models as web services using Flask, enabling real-time user interaction and cloud deployment on platforms like Heroku. Utilize pre-trained models and transfer learning techniques to quickly implement NLP and image classification tasks. Requirements No Prior Coding Knowledge Required: The course starts from the basics of Python, so no prior programming experience is needed. Basic Computer Usage: Learners should know how to navigate their computer, install software, and use a web browser. Basic Math Knowledge: Understanding of algebra and basic linear algebra (matrices, vectors) will be helpful. Computer with Internet Access: A laptop or desktop is needed to install software, download data, and follow the lessons. Description Welcome to "7 Days of Hands-On AI Development Bootcamp: Build Real-World AI Projects from Scratch," a course designed for absolute beginners who are eager to step into the world of artificial intelligence (AI). This course is ideal for those with little to no prior experience in programming or AI but have the curiosity and drive to learn. Whether you're a student, a career-changer, or simply interested in building your first AI project, this course is structured to take you from zero knowledge to deploying real-world AI models.Over the span of 7 days, you'll build projects every day, starting from the basics of Python programming to deploying a fully-functional AI model on the web. Each day is packed with hands-on projects, practical applications, and easy-to-follow instructions to ensure that you gain not just theoretical knowledge but real-world skills that you can apply right away.What You Will Learn:This course covers everything you need to get started with AI development. Each day is focused on a new topic, gradually building on what you've learned previously. Here's a brief overview of what you can expect:Day 1: Python for AI BasicsWe start with the foundation-Python programming. Python is the most popular language for AI, and by the end of Day 1, you'll understand basic Python syntax, data types, control flow, and how to use essential libraries like NumPy and Pandas. You'll also build your first simple program, setting the stage for the AI projects to come.Day 2: Exploratory Data Analysis (EDA)Data is the backbone of AI, and before you can train models, you need to know how to analyze it. On Day 2, you will learn how to clean, manipulate, and visualize data. Using libraries like Matplotlib and Seaborn, you'll explore datasets, handle missing data, and visualize relationships between different features. You'll work with real-world data to uncover hidden insights.Day 3: Introduction to Machine LearningOn Day 3, we dive into machine learning with a focus on Linear Regression. You'll learn the fundamentals of supervised learning, including how to split your dataset into training and testing sets, train a model, and evaluate its performance. By the end of the day, you'll build your first predictive model to forecast continuous variables like house prices.Day 4: Classification Models in Machine LearningNext, you'll tackle classification problems using Logistic Regression. Whether predicting if an email is spam or classifying customer churn, this day teaches you how to build a classification model and evaluate it using metrics like precision, recall, and accuracy. You'll also learn how to interpret confusion matrices to understand the performance of your model.Day 5: Neural Networks and Deep LearningDay 5 introduces the fascinating world of neural networks. You'll build a simple feedforward neural network to classify handwritten digits using the MNIST dataset. You'll gain hands-on experience with libraries like TensorFlow or PyTorch, and learn about key concepts such as activation functions, backpropagation, and training deep learning models.Day 6: Natural Language Processing (NLP)Day 6 focuses on Natural Language Processing (NLP), where you'll build a sentiment analysis model using text data. By leveraging pre-trained models from Hugging Face or building your own with TensorFlow, you'll classify text as positive or negative. This day provides an introduction to text preprocessing, tokenization, and transfer learning in NLP.Day 7: Deploying an AI Model as a Web ServiceOn the final day, you'll learn how to deploy your AI models as a web service using Flask. You'll integrate your AI models into a web application, making them accessible to users via a browser. Additionally, you'll deploy your app to a cloud platform like Heroku. By the end of the day, you'll have a working AI-powered web app that anyone can interact with online.Who This Course is For:Absolute Beginners: No prior programming or AI knowledge is required. This course is designed to be beginner-friendly.Students: If you're studying AI, machine learning, or data science, this course will give you the practical hands-on experience to solidify your learning.Career-Changers: If you're looking to switch to a career in AI or machine learning, this course will give you the foundation to start your journey.Hobbyists and Enthusiasts: If you're simply curious about AI and want to build projects for fun, this course will provide you with easy-to-follow instructions.Why Take This Course?This course is not just about theory-it's about building. You'll have real projects in your portfolio by the end of the week. Each day is packed with practical coding exercises and project-building that makes learning AI development easy and approachable. Whether you want to boost your career, impress employers, or explore the world of AI for personal interest, this course is designed to make that journey engaging, interactive, and rewarding.So, are you ready to build AI projects from scratch in just 7 days? Let's get started! Overview Section 1: Introduction to Course Lecture 1 Introduction to Course Section 2: Day 1: Python for AI Basics Lecture 2 Introduction to Day 1: Python for AI Basics Lecture 3 Introduction to Python Programming Lecture 4 Python Basics Lecture 5 Working with Lists and Dictionaries Lecture 6 Introduction to NumPy Lecture 7 Introduction to Pandas Lecture 8 Hands-on Project: Basic Data Manipulation and File Handling Section 3: Day 2: Exploratory Data Analysis (EDA) Lecture 9 Introduction to Day 2: Exploratory Data Analysis (EDA) Lecture 10 Loading and Inspecting Data Lecture 11 Handling Missing Data Lecture 12 Data Transformation and Feature Engineering Lecture 13 Visualizing Data with Matplotlib and Seaborn Lecture 14 Descriptive Statistics Lecture 15 Hands-on Project: Exploratory Data Analysis on a Real Dataset Section 4: Day 3: Introduction to Machine Learning (ML) Lecture 16 Introduction to Day 3: Introduction to Machine Learning (ML) Lecture 17 What is Machine Learning? Lecture 18 Supervised Learning and Dataset Preparation Lecture 19 Building a Linear Regression Model Lecture 20 Evaluating the Model Lecture 21 Feature Scaling and Regularization Lecture 22 Hands-on Project: Predicting House Prices using Linear Regression Section 5: Day 4: Classification Models in Machine Learning Lecture 23 Introduction to Day 4: Classification Models in Machine Learning Lecture 24 What is Classification? Lecture 25 Logistic Regression for Classification Lecture 26 Building a Logistic Regression Classifier Lecture 27 Evaluating the Classification Model Lecture 28 Visualizing the Decision Boundary Lecture 29 Hands-on Project: Spam Detection Using Logistic Regression Section 6: Day 5: Introduction to Neural Networks and Deep Learning Lecture 30 Introduction to Day 5: Introduction to Neural Networks and Deep Learning Lecture 31 What is a Neural Network? Lecture 32 Introduction to Deep Learning Frameworks Lecture 33 MNIST Dataset Overview Lecture 34 Building a Simple Neural Network for MNIST Classification Lecture 35 Evaluating the Neural Network Lecture 36 Understanding Activation Functions Lecture 37 Hands-on Project: Handwritten Digit Classification using Neural Networks Section 7: Day 6: Building a Sentiment Analysis Model Using Natural Language Processing Lecture 38 Introduction to Day 6: Building a Sentiment Analysis Model Using NLP Lecture 39 Introduction to Natural Language Processing (NLP) Lecture 40 Sentiment Analysis: Understanding Text Classification Lecture 41 Text Preprocessing Lecture 42 Using Pre-trained Models for NLP (Hugging Face) Lecture 43 Building a Sentiment Analysis Model with TensorFlow Lecture 44 Evaluating the Model Lecture 45 Hands-on Project: Sentiment Analysis Using Pre-trained NLP Models Section 8: Day 7: Deploying an AI Model as a Web Service Lecture 46 Introduction to Day 7: Deploying an AI Model as a Web Service Lecture 47 Introduction to Flask for Web Development Lecture 48 Creating a Web Interface for Your Model Lecture 49 Deploying the Flask App to Heroku Lecture 50 Testing the Web Service This course is designed for absolute beginners who are eager to learn AI development but have little to no prior experience in programming or machine learning. It is perfect for individuals who are curious about how AI works and want to get hands-on experience building real-world AI projects from scratch. Whether you're a student, career changer, or hobbyist, this course provides step-by-step guidance, making complex AI concepts accessible. If you're motivated to learn how to build AI models and deploy them, even without a technical background, this course is for you! Screenshot Homepage https://www.udemy.com/course/7-days-of-hands-on-ai-development-bootcamp/ Rapidgator https://rg.to/file/2fcd9905cfc9f57b9032cce2e0403e2f/caujn.7.Days.Of.HandsOn.Ai.Development.Bootcamp.part1.rar.html https://rg.to/file/d83927209299552b7fe4b1efeeb833fc/caujn.7.Days.Of.HandsOn.Ai.Development.Bootcamp.part2.rar.html Fikper Free Download https://fikper.com/DgJvnmzMSu/caujn.7.Days.Of.HandsOn.Ai.Development.Bootcamp.part2.rar.html https://fikper.com/uEvAaliyDi/caujn.7.Days.Of.HandsOn.Ai.Development.Bootcamp.part1.rar.html No Password - Links are Interchangeable