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Free Download Udemy - AWS BootCamp 2025 - Master Cloud Computing basics to pro Published: 4/2025 Created by: DataFlair TechVidvan MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Expert | Genre: eLearning | Language: English | Duration: 32 Lectures ( 9h 49m ) | Size: 11.6 GB Master AWS with hands-on implementation. Learn all essentials EC2, S3, EBS, IAM, AWS Console, with projects What you'll learn How AWS works: Cloud basics, infrastructure & service models Set up your AWS Free Tier account and safely explore services Navigate and manage resources in the AWS Console Understand and configure IAM users, roles, groups, and permissions Work with IAM policies and access control Learn real AWS use cases that prepare you for cloud jobs and certifications Build foundational confidence to explore more advanced AWS services Master Amazon AWS Services from EC2 to Cloud Front Get ready to work on real-time AWS cloud applications Requirements Internet access and a laptop for account setup No programming or AWS experience needed - all steps are shown clearly Description If you're learning cloud computing and want to work with AWS hands-on, this course is your next step. It's designed to help beginners understand and use AWS Identity and Access Management (IAM), the AWS Console, and real AWS services - the same way professionals use them in real-world cloud environments.You'll start by exploring how AWS cloud works, how its global infrastructure is set up, and how to use the AWS Free Tier safely. Then, you'll create your own account and begin using the AWS Console with guided steps.We'll go deep into IAM users, groups, roles, and policies - one of the most critical topics in AWS security. Everything is broken down into clear, beginner-friendly tasks with explanations that make sense even if you've never used AWS before.Whether you're preparing for AWS certifications, looking to build your first cloud project, or applying for cloud-related jobs, this AWS course gives you the practical skills you'll actually use.Why Take This AWS Course?This Cloud computing course helps you move from learning what AWS is to learning how to use AWS - especially through real-world tasks like setting up IAM roles, working in the AWS console, and exploring core cloud service categories.It's ideal for beginners preparing for AWS jobs, interview questions, or certifications like the Cloud Practitioner exam. 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Free Download Udemy - Python Data Analyst Bootcamp Process, Analyze & Visualize Published: 4/2025 Created by: Olga Piliaieva MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 98 Lectures ( 12h 1m ) | Size: 5.92 GB The most in-demand Python libraries for data analysis, visualization & dashboards with practice and a portfolio project What you'll learn Learn Python from scratch, and use NumPy & Pandas for data manipulation. Work with real datasets and develop essential data analysis skills. Master Seaborn, Matplotlib, and Polars for data visualization and processing. Work with real stock price data from yfinance to create insightful visualizations. Gain Git skills for version control and collaboration. Manage projects efficiently and work seamlessly in teams. Create interactive dashboards with Streamlit, visualize stock price data, and deploy your project for free on Streamlit Cloud. Create your portfolio Requirements No prior experience required! This course is beginner-friendly and designed to help you learn Python and data analysis from scratch. Basic understanding of programming concepts (variables, loops, conditionals) is helpful, but not mandatory. A computer with an internet connection to access course materials and run code. A passion for learning and a desire to build hands-on projects. We will be using Python, Jupyter Notebooks, and VSCode. Don't worry - we'll show you how to install Python and set up your development environment step-by-step in the course. Description This course is designed to teach you the most in-demand Python libraries and tools used by data professionals, making it ideal for aspiring data scientists, analysts, and developers.What you'll learn:Python Basics to Advanced: Starting from the fundamentals, we'll build a solid foundation in Python, guiding you through key programming concepts and progressing to advanced topics like Object-Oriented Programming (OOP).NumPy & Pandas: Master the core libraries for fast and efficient data wrangling, manipulation, and analysis. Learn how to work with large datasets, handle missing values, and perform advanced calculations.Polars: Explore Polars, a fast, scalable DataFrame library. We'll compare it with Pandas to show how Polars offers faster performance for data manipulation, especially with large datasets.Data Visualization with Seaborn & Matplotlib: Learn how to visualize data like a pro. From creating simple plots to designing beautiful, interactive charts, you'll understand how to tell compelling stories with data. We'll cover everything from basic visualizations to advanced techniques like heatmaps, histograms, and scatter plots.Git: Master version control with Git. Learn how to track and manage changes in your code, collaborate on projects, and keep your work organized.Building Dashboards with Streamlit: Learn how to create interactive dashboards using Streamlit and Matplotlib. You'll build a live project from scratch using real-world data and deploy it for free, showcasing your work to others.As part of this course, you'll complete numerous hands-on assignments to practice and reinforce your learning. By the end, you'll have a complete, deployable dashboard project that you can demonstrate to potential employers or clients. Who this course is for Beginners to Python If you're new to programming, this course will teach you Python from scratch, starting with the fundamentals and progressing to more advanced topics like object-oriented programming. Aspiring Data Analysts If you're interested in starting a career in data analysis, this course will give you the foundational skills in Python, data manipulation, and visualization that are in high demand by employers. Students and Professionals Looking to Transition to Data If you're looking to switch careers and break into the data field, this course will help you develop the technical skills needed to analyze and visualize real-world data effectively. Portfolio Builders - Create real projects to showcase in your data portfolio. Self-Learners - Follow a structured path to master Python and data analysis. 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Free Download Udemy - Ultimate DevSecOps Bootcamp by School of Devops Last updated 4/2025 Created by Gourav Shah MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Expert | Genre: eLearning | Language: English + subtitle | Duration: 147 Lectures ( 9h 37m ) | Size: 4 GB Build Complete DevSecOps Pipeline with Container Based Delivery, CI/CD on Kubernetes with all Open Source Tools What you'll learn Understand the core principles of DevSecOps and how they integrate into modern software delivery pipelines. Set up a complete learning environment using Google Cloud Platform, Kubernetes (GKE), and essential DevOps tools. Build a secure CI/CD pipeline using Jenkins, Helm, Docker, and Kubernetes. Implement Software Composition Analysis (SCA) using OWASP Dependency-Check, Pyraider, and Dependency-Track to identify and manage third-party risks. Apply Static Application Security Testing (SAST) using tools like slscan and integrate them into your CI/CD pipeline. Conduct Dynamic Application Security Testing (DAST) using OWASP ZAP during deployment stages to catch runtime vulnerabilities. Harden container images using Dockle, Trivy, and multi-stage Dockerfiles to reduce the attack surface. Manage sensitive credentials and enforce secure secrets injection using HashiCorp Vault with Kubernetes. Enforce system-level compliance and infrastructure hardening using InSpec and Ansible as Compliance-as-Code tools. Secure Kubernetes workloads by implementing security contexts, Pod security policies, resource limits, and runtime scanning tools like Falco. Build and deploy AI/ML and containerized applications securely using GitOps practices with ArgoCD. Automate runtime anomaly detection and remediation using Falco and Argo Workflows. Understand the Software Bill of Materials (SBOM) and integrate SBOM generation into your pipeline. Design an end-to-end secure DevOps pipeline for real-world applications, from code to production, with continuous security monitoring. Requirements Familiarity with DevOps concepts and basic CI/CD workflows is recommended. Prior experience with Docker and Kubernetes is helpful but not mandatory. Access to a GCP account or any cloud environment for hands-on labs. No deep security knowledge required - everything is explained step by step. Description Are you building or deploying applications on Kubernetes? Whether you're a DevOps Engineer, Platform Engineer, or AI/ML Engineer, security can no longer be an afterthought.This hands-on DevSecOps Bootcamp will help you build secure, production-ready CI/CD pipelines using open-source tools and industry best practices. Learn how to integrate security across the software development lifecycle and ensure your applications are secure by design.We will walk you through step-by-step labs that combine Jenkins, Kubernetes, ArgoCD, Vault, Trivy, Falco, OWASP ZAP, and other essential tools used in modern DevSecOps workflows.This course is ideal for teams building cloud-native applications, AI/ML models, or any containerized workload that needs to be deployed securely at scale.What You Will Learn:Core DevSecOps principles and the secure software delivery lifecycleHow to build a CI/CD pipeline with Jenkins on KubernetesSoftware Composition Analysis (SCA) using OWASP Dependency-Check, Pyraider, and Dependency-TrackStatic and Dynamic Application Security Testing (SAST & DAST) using slscan and OWASP ZAPSecuring container images using Trivy, Dockle, and multi-stage DockerfilesEnforcing compliance as code using InSpec and AnsibleSecrets management using HashiCorp Vault and Kubernetes RBACRuntime security monitoring using Falco with automated response pipelinesSecure deployment workflows with GitOps using ArgoCD and KubernetesTools and Technologies You Will Use:Jenkins, Helm, Kubernetes (GKE), ArgoCDTrivy, Dockle, OWASP ZAP, slscan, PyraiderVault, InSpec, Ansible, Falco, Argo WorkflowsDocker, Kubernetes RBAC, GitHub, GitOpsWho Should Take This Course:DevOps and Cloud Engineers who want to add security to their toolbeltAI/ML Engineers deploying models and services on KubernetesPlatform Engineers managing modern microservices at scaleSecurity Engineers transitioning to DevSecOps practicesDevelopers building containerized applications for productionThis is not a theoretical course. You will be working on real-world labs and projects that simulate what modern engineering teams do to secure their software pipelines in production environments.Whether you're deploying a machine learning model, a microservice, or a SaaS product - this course will help you ensure that your deployments are secure, scalable, and compliant. Who this course is for DevOps, Cloud, and Platform Engineers looking to build secure delivery pipelines. AI/ML Engineers deploying models and services on Kubernetes or in production environments. Developers who want to integrate security into their DevOps workflows. Security professionals and SREs transitioning into DevSecOps roles. Anyone responsible for deploying, securing, and maintaining modern applications at scale. 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Free Download Udemy - SQL Bootcamp Learn fast, query like a PRO 2025 Published 4/2025 Created by Donald Bedroya MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 41 Lectures ( 1h 32m ) | Size: 411 MB SQL Bootcamp: Learn fast, query like a PRO 2025 What you'll learn Core Database Concepts: Master the essentials of relational databases and gain hands-on experience with PostgreSQL to manage and organize data efficiently. Managing Data with SQL: Learn how to use INSERT, UPDATE, and DELETE commands to manage data. Table Management: Learn to create, modify, and drop tables, define primary/foreign keys, use SERIAL for auto-increment, and choose the right data types. Data Integrity & Constraints: Learn how to enforce data integrity using constraints. SQL Queries for Data Retrieval: Write SQL queries using SELECT, filter results with WHERE, and organize data using ORDER BY for insightful analysis. SQL Functions & Operators: Unlock powerful SQL functions to manipulate text, dates, and use logical operators and CASE for advanced querying. Joining Tables: Learn how to use SQL JOINs (INNER, LEFT, RIGHT, FULL) to combine data from multiple tables and understand primary and foreign keys. Data Aggregation & Analysis: Use SUM, AVG, and COUNT to analyze data, then filter and group with GROUP BY and HAVING for deeper insights. Advanced SQL Techniques: Dive into advanced SQL techniques like subqueries, CTEs, and self joins to solve complex data challenges. Requirements No Programming experience needed Basic Computer Skills + Internet Access: Familiarity with using a computer, installing software, and navigating the internet. Description Looking to quickly learn SQL ? This course covers the core skills needed for practical data management. Start by understanding the basics of relational databases and setting up PostgreSQL to effectively store and manage data. Learn how to manage and analyze data with SQL queries, create and modify data of the tables using INSERT, UPDATE, and DELETE commands. Dive into table structure management, define Primary Key (PK) and Foreign Key (FK) relationships for better organization, select the right data types, and ensure data integrity.Master data retrieval techniques with the SELECT statement, filter results using the WHERE clause, and organize data with ORDER BY. Explore advanced SQL functions for manipulating strings and dates, and apply logical operators and the CASE statement for more dynamic querying. Combine data from different tables using INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN to work with multiple data sources seamlessly.Learn data aggregation techniques with functions like SUM, AVG, and COUNT, and group and filter data with GROUP BY and HAVING for advanced analysis. Gain expertise in solving complex data challenges using sub-queries, Common Table Expressions (CTEs), and self joins to generate complex reports effectively.Ideal for beginners or anyone looking to strengthen their practical SQL and PostgreSQL skills to excel in data-driven roles. Who this course is for Beginners with no experience in databases or SQL. People wanting to learn data management and analysis. Students who want to understand how databases work. Professionals who need better skills in managing and analyzing data. Software developers who want to use SQL in their projects. Business analysts who want to analyze data more effectively. Database administrators looking to improve their basic database skills. Anyone interested in working with databases for personal or professional use. IT professionals who need to work with databases. Job seekers looking to add SQL skills to their resume. Homepage https://www.udemy.com/course/sql-bootcamp-learn-fast-query-like-a-pro-2025/ [b]AusFile[/b] https://ausfile.com/lbymkg7bhqxh/alzfo.SQL.Bootcamp.Learn.fast.query.like.a.PRO.2025.rar.html Rapidgator https://rg.to/file/ca91c5c8da48f35382ebc6c840b2de7d/alzfo.SQL.Bootcamp.Learn.fast.query.like.a.PRO.2025.rar.html Fikper Free Download https://fikper.com/azrciAHNYO/alzfo.SQL.Bootcamp.Learn.fast.query.like.a.PRO.2025.rar.html No Password - Links are Interchangeable

Free Download Udemy - AI Agents Bootcamp - Build with LangChain, RAG, Langflow, GPT Published: 4/2025 Created by: Pragati Kunwer MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 26 Lectures ( 1h 28m ) | Size: 1.34 GB Build real-world AI agents using LangChain, RAG, Langflow, GPT-4, FAISS, CrewAI, AutoGen, LangGraph & vector search What you'll learn Master the fundamentals and advanced concepts of building AI-driven agents with LangChain, Langflow & GPT-4. Design and build AI agents using LangChain, Langflow, and LangGraph to automate complex tasks and workflows. Design, develop, and deploy autonomous AI applications capable of replacing or enhancing SaaS solutions. Integrate custom tools and external APIs like search, calculator, and vector databases to create specialized autonomous agents. Develop retrieval-augmented generation (RAG) systems to enable agents to provide accurate responses using your custom knowledge bases. Deploy robust, production-ready AI workflows with built-in safeguards, human oversight, and structured decision-making to ensure reliability Create multi-agent collaborative systems using frameworks like AutoGen and crewAI for advanced workflow automation. Effectively debug and optimize AI agents to avoid common pitfalls such as looping, hallucinations, and inefficient resource use. Requirements Basic Python programming knowledge is recommended, although key concepts will be explained clearly for beginners. General familiarity with AI concepts beneficial but not required. A laptop or PC with internet access to perform hands-on projects Interest in building practical, real-world AI-driven solutions. Description Welcome to the most complete, real-world course on AI Agents, LangChain, RAG, and Langflow-powered automation - designed for practical, production-level use.Whether you're a developer, data engineer, entrepreneur, or tech enthusiast, this course will help you build and deploy production-grade AI agents that can search, retrieve, reason, and act - using cutting-edge tools like LangChain, Langflow, GPT-4, FAISS, RAG, AutoGen, CrewAI, and LangGraph.What You'll LearnBuild intelligent AI agents using LangChain, Langflow, and GPT-4Create powerful Retrieval-Augmented Generation (RAG) systems for document Q&AUse vector embeddings and FAISS to power semantic searchAutomate workflows with multi-agent systems using AutoGen and CrewAIOrchestrate stateful agents and workflows using LangGraphDeploy scalable agents on AWS, GCP, and AzureHandle hallucinations, improve answer grounding, and trace source documentsMaster tool use, memory systems, and advanced prompt engineeringBuild no-code and low-code pipelines visually using LangflowCreate a monetizable AI portfolio with real-world projectsWhy This Course is DifferentTaught by a Senior Engineering Manager with 18+ years of experience at IBM Watson (California)Combines theory with deep notebook walkthroughs for every conceptCovers everything from beginner basics to advanced RAG, LangGraph, and multi-agent orchestrationIncludes hands-on notebooks, ready-to-use code, and mini-projectsProjects are interview-ready, SaaS-friendly, and resume-enhancingProjects You'll BuildDocument-based AI Q&A Agent using RAG + GPT-4Multi-Agent Chat System using AutoGen + CrewAIVector-based semantic search engine using FAISSWorkflow automation system using LangGraph + LangflowBusiness intelligence bot powered by multi-modal agentsPDF-based contextual AI assistant with embedded tool useWho this course is for Developers & engineers who want to build AI-powered toolsData scientists exploring RAG pipelines, embeddings, and LLMOpsFounders creating AI SaaS products or internal agentsStudents & professionals building job-winning AI portfoliosAnyone curious about how AI agents think, retrieve, and solve problemsNo prior ML or AI experience is required - just curiosity and willingness to build.All code, documents, tools, and workflows are provided. You'll also get access to our complete GitHub repository to follow along with the implementations.What Else is IncludedUdemy's 30-Day Money Back GuaranteeFull lifetime access to all course materialsInstructor support via the Q&A sectionReal-world projects for your portfolio or startup ideaLet's build the future of AI - one agent at a time. Enroll now and start mastering AI Agents today. Who this course is for Developers and software engineers (from beginner to advanced) interested in automating their workflows using AI. Entrepreneurs and tech professionals aiming to innovate, automate, and scale their business processes. AI and tech enthusiasts seeking practical, hands-on experience building and deploying AI-powered autonomous workflows. Anyone curious about using GPT-4, LangChain, and Langflow to automate repetitive tasks and improve productivity. 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Free Download Published: 3/2025 Created by: Neamatullah Ekhteyari MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English + subtitle | Duration: 123 Lectures ( 26h 1m ) | Size: 8.65 GB Master Python 3 from scratch! Learn data structures, OOP, file handling, web scraping, and more with real-world projects What you'll learn Understanding Python syntax, variables, and data types Working with numbers, strings, lists, dictionaries, tuples, sets, and Booleans Performing input/output operations with files Mastering comparison and logical operators Using loops (for, while) and conditional statements (if-else) Implementing list comprehensions Writing functions with arguments, keyword arguments, and variable scope Understanding classes, objects, and attributes Implementing inheritance and polymorphism Using magic methods (dunder methods) in Python Handling exceptions with try-except blocks Writing unit tests using the unittest library Debugging code effectively Installing and using external packages with pip Understanding the __name__ == '__main__' construct Implementing Python decorators and generators Reading and writing text, JSON, and binary files Managing directories and files with Python's OS module Performing advanced file-handling techniques Extracting data from web pages using BeautifulSoup and Scrapy Downloading images and processing HTML data Automating web tasks Basic image processing using Pillow Advanced image processing with OpenCV Implementing face detection and real-time image recognition Setting up a logging system Creating custom loggers and handlers Implementing log rotation and advanced filtering Developing Python applications through milestone projects Implementing Web Scraping and Data Analysis Creating a Task Management System Designing an Advanced Logging and Data Streaming System Developing an Email Automation System Building an Image Processing and Filtering App Requirements No Prior Programming Experience Required - This course is designed for complete beginners. A computer (Windows, macOS, or Linux) with internet access. A willingness to learn and practice Python programming. Description The Complete Python Bootcamp: From Beginner to AdvancedBecome a Python Programmer and master one of the most in-demand skills in 2025!This is the most comprehensive, yet beginner-friendly, course for Python 3 on Udemy! Whether you have never coded before, already know some Python basics, or want to dive into advanced features, this course is for you!With over 100 lectures and 20+ hours of content, this course leaves no topic uncovered. 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Free Download Complete F5 BIGIP 16.1 Bootcamp (LTM,ASM,DNS) P1 -TMOS & LTM Published: 3/2025 Created by: Giant Labs MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 46 Lectures ( 8h 27m ) | Size: 6 GB The first part of the complete series on F5 BIGIP appliance ( LTM + TMOS ), where you'll learn all their needed features What you'll learn Define main components of F5 TMOS architecture Understand deeply the components of LTM module Doing multiple demos on real world use cases Integrate LTM module using giant labs with many other tools Requirements Basic Networking Basic Cybersecurity Terms Laptop with internet connectivity Description This comprehensive F5 training course provides an in-depth understanding of the BIG-IP platform, covering both TMOS (Traffic Management Operating System) and LTM (Local Traffic Manager) functionalities. 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Advanced traffic handling concepts such as NAT, monitors, persistence profiles, and SSL profiles are covered to ensure a well-rounded understanding of how LTM optimizes application availability and security.Level 2 - Advanced TMOS & LTMThe final section combines advanced topics across both TMOS and LTM, enhancing the student's expertise in high availability, software updates, VLAN failsafe, and iRules. Real-world scenarios are explored, including HTTP-to-HTTPS redirection, LTM policy creation, and ICAP integration using FortiProxy. Parti[beeep]nts will gain hands-on experience in managing system upgrades and troubleshooting advanced configurations.By the end of this course, learners will have a deep technical knowledge of F5 TMOS and LTM, equipping them with the skills to deploy, configure, and optimize application delivery and security on BIG-IP platforms. 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Free Download Udemy - The Complete SQL Bootcamp (30 Hours) - Go from Zero to Hero Published: 3/2025 Created by: Baraa Khatib Salkini MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 294 Lectures ( 29h 23m ) | Size: 26.8 GB The Only SQL Course with 200+ Visual Animations: learn Fast, Practice Hard & Build Real-World Projects What you'll learn You'll learn the basics: what SQL is, how databases work, and why SQL is essential for working with data You'll learn how to query using SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY, and more You'll learn how to combine multiple tables using JOINS, UNION, INTERSECT, and EXCEPT You'll learn all SQL functions including String, Numeric, Date/Time, and CASE logic You'll learn how to handle NULL values in SQL You'll master ALL Window Functions (LEAD, LAG, RANK, ROW_NUMBER etc.) You'll master advanced SQL techniques like Subqueries, CTEs, Views, and Temp Tables You'll learn how to create and use Stored Procedures and Triggers for automation and logic You'll learn how to optimize performance, reduce query time, and tune indexes You'll learn how to integrate SQL with AI and Data Science tools for real business use You'll learn how to build and query a complete SQL Warehouse from scratch You'll learn how to use SQL for EDA (Exploratory Data Analysis) on real-world datasets You'll learn how to apply advanced analytics techniques using SQL Requirements No prior SQL or programming experience is required! You just need a computer with internet access All tools used in the course are free and easy to set up - we'll guide you every step of the way Description The most visual and complete SQL course on the internet - built by a real data professional.This isn't your average SQL course with boring slides and textbook examples.This is a fully animated, hands-on SQL bootcamp where you'll not only learn how to write SQL - you'll actually see how SQL works behind the scenes through 200+ custom-made animations, hand-drawn to help you truly understand each concept at its core.This course is based on over 15 years of real-world experience working with data at top global companies like Mercedes-Benz and Bosch. Every lesson, project, and topic comes directly from real enterprise use cases - not academic theory.Whether you're an absolute beginner or someone looking to level up, this course is designed to take you from zero to hero in SQL.If you've never written a line of SQL, don't worry - everything is explained from scratch, step by step. You're not too old or too young - SQL is one of the easiest and most rewarding skills you can learn.What makes this course truly unique:200+ visual animations that make even complex SQL concepts easy to understandBuilt by a senior data expert with over 15 years in the industry - not a generic instructorReal-world projects based on tasks I've personally handled in enterprise environmentsCovers everything in SQL - from the absolute basics to advanced topics like Window Functions, CTEs, Query Optimization, SQL Warehousing, and Advanced AnalyticsPractice with real scenarios to go from beginner to job-ready with confidenceTopics covered in this complete course :Introduction: Learn what SQL is, why it matters, how databases work, and how to set up your full SQL environment.Querying Data (SELECT): Master SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY, DISTINCT, TOP, and query execution order.Data Definition (DDL): Create, modify, and remove database objects using CREATE, ALTER, and DROP commands.Data Manipulation (DML): Add, update, and delete records using INSERT, UPDATE, and DELETE with real-world logic.Filtering Data: Use comparison and logical operators like AND, OR, NOT, BETWEEN, IN, and LIKE to filter data effectively.Combining Data: Join and merge tables using INNER, LEFT, RIGHT, FULL, CROSS joins and SET operations like UNION, INTERSECT.Row-Level Functions: Use string, numeric, date, null-handling functions, and CASE expressions to transform your data.Aggregation & Analytics: Apply aggregate functions and advanced window functions like RANK, DENSE_RANK, LAG, and LEAD.Advanced SQL Techniques: Work with subqueries, CTEs (recursive and non-recursive), views, temp tables, procedures, and triggers.Performance Optimization: Improve query speed using indexes, partitions, and practical performance tips.AI & SQL: Use ChatGPT and GitHub Copilot to generate, explain, optimize, and debug SQL - plus translate and document code.Hands-On Projects for Real Experience:Watching tutorials is not enough - that's why this course is packed with practical projects so you can immediately apply your new skills in real-world scenarios. Each project is designed to mirror actual work done by professionals:SQL Data Warehouse: Design and implement a full-scale SQL data warehouse from scratch, just like you would in a real enterprise environment.SQL for Data Analysis (EDA): Use SQL to perform exploratory data analysis on real datasets, extracting insights and creating reports as a data analyst would.Advanced Query Optimization: Tackle complex query challenges and practice performance tuning on large datasets to simulate high-pressure, real-world scenarios.By completing these projects, you'll translate theory into practice. You'll not only reinforce your learning, but also build a portfolio of job-ready examples to show future employers.Don't miss out on the chance to master SQL, the skill that will set you apart in the job market and propel your career to new heights. Enroll now and unlock the potential of your data with SQL expertise! Who this course is for Complete beginners looking to build a strong foundation in SQL from scratch Students in data science, computer science, or related fields who want a practical, hands-on approach to SQL. Data analysts and business intelligence professionals seeking advanced techniques for complex data queries and analytics. Data engineers looking to design robust ETL pipelines and data warehouses. Data scientists wanting to leverage SQL for exploratory data analysis and AI-driven insights. Software developers aiming to integrate SQL efficiently and optimize database performance. 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Free Download Udemy - Langchain Bootcamp 2025 - Learn With 20+ Practical Examples Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.65 GB | Duration: 3h 4m Unlock the Power of LangChain: Develop LLM Applications, Connect APIs, Automate Business Tasks and Marketing Automation! What you'll learn Understand the fundamentals of LangChain and its architecture. Build and manage LLM-powered workflows for real-world applications. Design and deploy AI agents that can perform complex tasks autonomously. Integrate LangChain with APIs, databases, and external tools. Create dynamic workflows with retrieval-augmented generation (RAG). Learn how to use LangChain memory for context-aware applications. Build chatbots for customer support, marketing, or personal projects. Automate repetitive workflows using LangChain's advanced modules. Connect LangChain to vector databases for knowledge-driven applications. Implement advanced error handling to ensure smooth workflows. Use LangChain with Python and OpenAI APIs to create scalable solutions. Master custom API calls and advanced integrations. Solve practical challenges with 20+ hands-on examples and projects. Learn about function calling and integrating LangChain with GPT-4. Build tools like content generators, automated workflows, and intelligent assistants. Requirements Basic Programming Knowledge: Familiarity with Python is helpful but not mandatory. Access to Tools: You'll need an OpenAI API key and a Python environment. A Computer and Internet Connection: For accessing tools and following the tutorials. Description //**Updated January 2025 - "Added Agent Architectures, Memory + Scheduled Tasks in ChatGPT."//**Updated January 2025 - "New Modules on LangChain API Integration and Advanced Error Handling."LangChain is one of the most powerful frameworks revolutionizing how we build and integrate large language models (LLMs) into everyday workflows. Imagine automating complex tasks, building intelligent chatbots, or designing systems that can interact with APIs, databases, and other tools seamlessly. With LangChain, the possibilities are endless-and this course will guide you every step of the way.This LangChain Master Class for Beginners is designed to take you from zero experience to confidently building AI-driven applications. Whether you're creating AI agents, automating workflows, or integrating tools like GPT-4, LangChain simplifies the process while giving you the flexibility to innovate. By the end of the course, you'll have worked on 20+ practical examples that teach you not just the theory, but how to apply LangChain to real-world projects.What sets this course apart is the focus on hands-on learning. Many courses dive into theory without providing actionable steps. Here, you'll actively build projects like intelligent customer support bots, content generators, and data analysis tools. You'll also learn how to integrate LangChain with advanced tools like vector databases, custom APIs, and retrieval-augmented generation (RAG) workflows.This course doesn't just teach you LangChain-it empowers you to build LLM-powered applications that are scalable, practical, and innovative. Whether you're a developer, entrepreneur, or marketer, LangChain will become your go-to tool for creating the next generation of AI applications.What You'll Learn in This CourseLangChain Basics: Understand the core concepts of LangChain, including its architecture, modules, and how it interacts with LLMs.Building AI-Powered Applications: Learn how to create intelligent applications like chatbots, content generators, and more using LangChain.Agent Architectures: Explore how to build and deploy agents that can perform complex tasks autonomously.Memory Management: Master LangChain's memory capabilities to create applications that can retain context and improve over time.API Integration: Learn how to integrate LangChain with external APIs to build dynamic and scalable applications.Error Handling: Discover how to troubleshoot and resolve common issues in LangChain workflows.Real-World Examples: Work on 20+ practical examples, including AI-powered customer support systems, automated content creation tools, and more.This course is packed with actionable insights and hands-on projects to ensure you not only understand the theory but also know how to apply it in real-world scenarios. Developers: Whether you're experienced or just starting, this course will help you integrate LangChain into your AI projects.,Entrepreneurs: Learn how to build AI-driven applications that solve real-world problems and enhance business operations.,Marketers: Automate tasks like content creation, campaign management, and customer support with LangChain.,Freelancers: Add LangChain to your skillset and offer AI-powered solutions to clients.,Small Business Owners: Streamline operations by automating repetitive tasks and building smart tools.,AI Enthusiasts: Explore the practical side of AI and learn how to build intelligent systems with LangChain.,Project Managers: Understand how LangChain can improve team workflows and drive efficiency.,Students: Get hands-on experience in one of the most in-demand AI frameworks today. 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Free Download Financial Modelling Bootcamp - Beginner To Pro In 30 Days Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 6.21 GB | Duration: 8h 54m Advance your finance career with expert financial modelling, forecasting & valuation skills used by professionals. What you'll learn Master Financial Modelling in Excel: Learn to build dynamic financial models from scratch using Excel, incorporating formulas, functions & best practices Forecasting & Valuation : Learn to forecast business performance scenarios, master valuation to accurately assess business value like a finance professional Develop Real-World Business Models: Construct financial models for business planning, forecasting and investment analysis, useful to start-ups and corporates Advance Your Finance Career : Acquire industry-relevant skill for a career in investment banking, equity research, private equity, corporate finance, etc Requirements Only preliminary understanding of Finance and Excel is required If you're completely new to Finance or Excel, I'd recommend taking up my course titled Finance & Excel for Beginners: Learn with Real Examples, to build a solid foundation before diving in! 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Free Download Business Data Analytics Bootcamp - Master AI-Powered Insights Published: 3/2025 Created by: Metla Sudha Sekhar MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 211 Lectures ( 20h 0m ) | Size: 8.9 GB Transform & Visualize Data with Excel, SQL, Power BI, Python, Pandas, Matplotlib & ChatGPT AI for Business Decisions What you'll learn Understand the fundamentals of business data analytics and AI-driven insights Learn how AI, including ChatGPT, enhances data interpretation and decision-making Master essential Excel functions for data cleaning, analysis, and visualization Utilize PivotTables, Power Query, and advanced formulas for efficient data handling Write SQL queries to extract, filter, and manipulate data from databases Perform joins, aggregations, and advanced queries for deeper insights Create interactive dashboards and reports using Power BI Connect multiple data sources and apply DAX functions for advanced analytics Learn Python basics and apply Pandas for data manipulation Use Matplotlib for data visualization and trend analysis Automate data analysis and reporting using ChatGPT Generate AI-driven insights to optimize business strategies Work on hands-on projects with real-world business datasets Apply data analytics to solve practical business challenges and drive decision-making Build a portfolio of analytics projects for job applications Learn industry best practices to stay competitive in the data-driven world Requirements No prior coding or analytics experience required-beginners are welcome! A computer (Windows or Mac) with internet access Basic familiarity with Microsoft Excel is helpful but not mandatory Willingness to learn and apply data-driven decision-making Enthusiasm to work with real-world datasets and AI-powered tools Power BI (free or Pro version) and SQL installation recommended for hands-on practice - (step by step installation explained) Description Unlock the power of data and transform your decision-making with our Business Data Analytics Bootcamp. Designed for professionals and aspiring analysts, this comprehensive course will equip you with the essential skills to extract valuable insights from data using industry-leading tools like Excel, SQL, Power BI, Python, Pandas, Matplotlib, and ChatGPT AI. 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Free Download Udemy - Object Oriented Programming Bootcamp Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.22 GB | Duration: 6h 6m Learn Object Oriented Paradigm of Programming What you'll learn Students will be able to learn Object Oriented Concepts Students will be able to identify objects and classify them Students will be able to design a class diagram of any small scale project Students will be able to code the small scale project in JAVA programming using object oriented paradigm Requirements Student must understand English Students must have basic programming concepts Students must have laptop Description Welcome to the comprehensive Udemy course on Object Oriented Programming. This course is designed to provide you with a solid foundation in object oriented Programming principles and guide you through the practical aspects of implementing them using Java. Whether you're a beginner looking to understand the basics or an experienced programmer aiming to deepen your understanding of object oriented Programming, this course has something for everyone.Introduction to OOP:We start the course with an Overview of Object Oriented Programming, exploring its fundamental concepts and discussing how it differs from other programming paradigms. We delve into the basic principles that form the backbone of object oriented Programming, setting the stage for a deep dive into its core components.Objects and Classes:Understanding what objects and classes are is crucial in object oriented Programming. We break down these concepts, exploring how to identify objects and their behaviors. Through practical examples, you'll learn how to create classes and instantiate objects, laying the groundwork for hands-on coding exercises.Class Diagram:A key tool in object oriented Programming design is the Class Diagram. We cover the basics of creating class diagrams, enabling you to visually represent the structure of your programs. This skill is essential for effective communication and collaboration in software development.Implement Classes in Java:Get hands-on with Java, one of the most widely used programming languages in the world. We guide you through setting up Java, installing NetBeans, and understanding the basic syntax. You'll learn how to create classes, instantiate objects, and gain a practical understanding of Java's object-oriented features.Features of Classes:Explore the features that make classes powerful in object oriented Programming. We cover access modifiers, encapsulation, constructors, destructors, and the 'this' keyword, giving you a comprehensive understanding of how to design robust and efficient classes.Re-usability in object oriented Programming:Learn the concept of reusability through inheritance and the use of the super keyword. Understand how these features allow you to build upon existing code, promoting code efficiency and maintainability.Communicating Classes in object oriented Programming:Discover the various ways classes communicate in Object Oriented Programming , including association, dependency, aggregation, and composition. Gain insights into how these relationships contribute to building flexible and scalable software.Polymorphism and Abstraction in object oriented Programming:Delve into the concepts of polymorphism, both static and dynamic, and understand how they enhance code flexibility. Explore abstraction through abstract classes and functions, enabling you to design software with clear, modular structures.Project:Apply your knowledge by working on a console-based project. Additionally, get a glimpse into GUI development as we introduce you to the basics of creating graphical user interfaces (GUIs) and guide you through a GUI-based project. At the end of this course, you'll have a solid understanding of Object Oriented Programming, hands on experience with Java, and the skills to design and implement robust software using object oriented Programming principles. Enroll in the course and embark on your journey to becoming a proficient object oriented Programming developer. 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Free Download Udemy - Bootcamp for PLC, HMI and industrial electricity Published: 3/2025 Created by: MohammadReza Mohareb MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 184 Lectures ( 34h 1m ) | Size: 18 GB This is a course for students who want to become professionals in the field of PLC, HMI and industrial electricity What you'll learn After completing the course, you can write PLC projects. After the end of the course, you can review all the projects and, if you wish, change some of the previous projects. After completing the course, you can take on projects and earn significant income from the profession you have learned. After completing the course, you can take the employment exam at many companies. Requirements With this course, you will not need any other course because all the prerequisites are taught within this course itself. You will find 0 to 100 tutorials within this training course. Description In this course, we want to teach the programming of the world's leading brands in industrial automation in a simple way and teach understanding and learning of PLC and HMI programming by creating small projects.In this course, Siemens, Delta, Fatek, Omron, and Allen Bradley brands are taught, and an attempt has been made to teach all of these brands in detail and without any shortcomings, and to teach all commonly used commands.By learning this course, anyone can meet up to 80% of their programming needs, and for the remaining 20%, you can learn on the job using existing tools. The best teacher for anyone is the experience they gain on the job, and this course can be the starting point for your business.This course is a super course that consists of several separate courses that have been collected into one course for you. Because learning PLC programming requires prerequisites, I preferred to include all the prerequisites, especially the industrial electricity part, in this course.So be sure to start the course with the basic topics and follow the topics posted on the Udemy site.This course is taught based on projects, and an attempt has been made to place all the commands and elements within PLC software in small projects to make it easier to understand and learn each command.Thank you very much for your appreciation. Who this course is for This course is for those who work in the electrical field and will help them shine in the industrial automation profession. This course will improve your knowledge of electricity and industrial automation. 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Free Download The Data Science Course - Complete Data Science Bootcamp 2025 Last updated: 1/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 15.87 GB | Duration: 31h 57m Complete Data Science Training: Math, Statistics, Python, Advanced Statistics in Python, Machine and Deep Learning What you'll learn The course provides the entire toolbox you need to become a data scientist Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow Impress interviewers by showing an understanding of the data science field Learn how to pre-process data Understand the mathematics behind Machine Learning (an absolute must which other courses don't teach!) Start coding in Python and learn how to use it for statistical analysis Perform linear and logistic regressions in Python Carry out cluster and factor analysis Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn Apply your skills to real-life business cases Use state-of-the-art Deep Learning frameworks such as Google's TensorFlowDevelop a business intuition while coding and solving tasks with big data Unfold the power of deep neural networks Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations Requirements No prior experience is required. We will start from the very basics You'll need to install Anaconda. We will show you how to do that step by step Microsoft Excel 2003, 2010, 2013, 2016, or 365 Description *Update 2025: Intro to Data Science module updated for recent AI developments*The ProblemData scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace. However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist. And how can you do that? Universities have been slow at creating specialized data science programs. (not to mention that the ones that exist are very expensive and time consuming) Most online courses focus on a specific topic and it is difficult to understand how the skill they teach fit in the complete picture The Solution Data science is a multidisciplinary field. It encompasses a wide range of topics. 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The course teaches you everything you need to know to become a data scientist at a fraction of the cost of traditional programs (not to mention the amount of time you will save). The Skills 1. Intro to Data and Data ScienceBig data, business intelligence, business analytics, machine learning and artificial intelligence. We know these buzzwords belong to the field of data science but what do they all mean? Why learn it? As a candidate data scientist, you must understand the ins and outs of each of these areas and recognise the appropriate approach to solving a problem. This 'Intro to data and data science' will give you a comprehensive look at all these buzzwords and where they fit in the realm of data science. 2. Mathematics Learning the tools is the first step to doing data science. You must first see the big picture to then examine the parts in detail. We take a detailed look specifically at calculus and linear algebra as they are the subfields data science relies on. Why learn it? Calculus and linear algebra are essential for programming in data science. If you want to understand advanced machine learning algorithms, then you need these skills in your arsenal. 3. Statistics You need to think like a scientist before you can become a scientist. Statistics trains your mind to frame problems as hypotheses and gives you techniques to test these hypotheses, just like a scientist. Why learn it? This course doesn't just give you the tools you need but teaches you how to use them. Statistics trains you to think like a scientist. 4. PythonPython is a relatively new programming language and, unlike R, it is a general-purpose programming language. You can do anything with it! Web applications, computer games and data science are among many of its capabilities. That's why, in a short space of time, it has managed to disrupt many disciplines. Extremely powerful libraries have been developed to enable data manipulation, transformation, and visualisation. Where Python really shines however, is when it deals with machine and deep learning.Why learn it? When it comes to developing, implementing, and deploying machine learning models through powerful frameworks such as scikit-learn, TensorFlow, etc, Python is a must have programming language. 5. TableauData scientists don't just need to deal with data and solve data driven problems. They also need to convince company executives of the right decisions to make. These executives may not be well versed in data science, so the data scientist must but be able to present and visualise the data's story in a way they will understand. That's where Tableau comes in - and we will help you become an expert story teller using the leading visualisation software in business intelligence and data science.Why learn it? A data scientist relies on business intelligence tools like Tableau to communicate complex results to non-technical decision makers. 6. Advanced Statistics Regressions, clustering, and factor analysis are all disciplines that were invented before machine learning. However, now these statistical methods are all performed through machine learning to provide predictions with unparalleled accuracy. This section will look at these techniques in detail. Why learn it? Data science is all about predictive modelling and you can become an expert in these methods through this 'advance statistics' section. 7. Machine Learning The final part of the program and what every section has been leading up to is deep learning. Being able to employ machine and deep learning in their work is what often separates a data scientist from a data analyst. This section covers all common machine learning techniques and deep learning methods with TensorFlow. Why learn it? Machine learning is everywhere. Companies like Facebook, Google, and Amazon have been using machines that can learn on their own for years. Now is the time for you to control the machines. **What you get**A $1250 data science training program Active Q&A support All the knowledge to get hired as a data scientist A community of data science learners A certificate of completion Access to future updates Solve real-life business cases that will get you the job You will become a data scientist from scratch We are happy to offer an unconditional 30-day money back in full guarantee. 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 data scientist program today. 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Free Download DBT Emotion Regulation Bootcamp - Fast Track Your Growth Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.50 GB | Duration: 1h 12m Break Free from Emotional Chaos with Proven DBT Skills - Master Self-Regulation, Reduce Stress, and Regain Control! What you'll learn Understand the fundamental principles and concepts of Dialectical Behavior Therapy (DBT) and its history and development. Master a range of emotion regulation strategies, including the ability to identify, label, and effectively cope with various emotions. Develop distress tolerance skills to effectively manage crisis situations, accept distress, tolerate emotional pain, and practice self-soothing techniques. Learn and apply interpersonal effectiveness skills. Effective communication, assertiveness, boundary-setting, building and maintaining healthy relationships, and resolving conflicts. Cultivate mindfulness practices and core mindfulness skills. Requirements No prior knowledge required. Just and interest in personal growth. Description Are you tired of feeling overwhelmed by your emotions? Do you find yourself reacting impulsively in difficult situations, struggling to stay in control? You're not alone, and the good news is that you can break free from emotional chaos and regain control over your life.Introducing DBT Emotion Regulation Bootcamp: Fast-Track Your Growth, a comprehensive online course designed to help you manage intense emotions, reduce stress, and build lifelong emotional resilience. Based on Dialectical Behavior Therapy (DBT), this course provides science-backed techniques to regulate emotions effectively, so you can respond to life's challenges with calm, clarity, and confidence.This course includes:Practical DBT strategies to identify, understand, and manage your emotionsProven tools to stop emotional spirals and break free from impulsive reactionsEngaging exercises, real-life case studies, and interactive discussions to reinforce learningFun activities and worksheets to make skill-building both enjoyable and effectiveA high-quality companion eBook to guide you every step of the wayThis isn't just another self-help course-it's a step-by-step roadmap to emotional mastery, designed for real, lasting transformation. Whether you struggle with stress, anxiety, or emotional ups and downs, these skills will empower you to take control of your emotions-once and for all.The time to change is now. 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Free Download Programming Bootcamp with Web and Application Development Published: 3/2025 Created by: Sayman Creative Institute MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 52 Lectures ( 13h 34m ) | Size: 4.71 GB Learn Python, C++, JavaScript, and PHP/MySQL in a Comprehensive Web and App Development Bootcamp What you'll learn Python: Master the fundamentals of Python programming, including data structures, object-oriented programming, and web development frameworks. C++: Learn the power and efficiency of C++ for building high-performance applications and system-level programming. JavaScript: Create interactive and dynamic web interfaces using JavaScript, including DOM manipulation and asynchronous programming. PHP/MySQL: Build dynamic, database-driven web applications using PHP and MySQL. Learn to design and manage databases, and implement server-side logic. Requirements Basic programming skill will be helpful Description Are you ready to become a skilled developer and build powerful web and software applications? This comprehensive programming bootcamp is designed to take you from beginner to advanced, covering multiple in-demand programming languages and technologies, including Python, C++, JavaScript, PHP, and MySQL.What you'll learn: Python: Master the fundamentals, data structures, object-oriented programming (OOP), and automation.C++: Understand powerful system-level programming, game development concepts, and performance optimizationJavaScript: Build interactive web applications with dynamic front-end scripting.PHP & MySQL: Create robust back-end systems, manage databases, and develop full-stack applications.Web Development: Learn HTML, CSS, and JavaScript to build responsive and engaging websites.Application Development: Apply programming concepts to create real-world applications.Why Choose This Bootcamp?Comprehensive Curriculum: Dive deep into the core concepts of Python, C++, JavaScript, and PHP/MySQL. Learn everything from fundamental programming principles to advanced application development techniques.Practical, Hands-On Learning: Forget dry lectures! This course emphasizes practical application through real-world projects. Build a portfolio of impressive projects that demonstrate your skills to potential employers.Full-Stack Development: Master both front-end and back-end development. Learn to create interactive user interfaces with JavaScript and build robust server-side applications with Python, C++, and PHP/MySQL.Database Integration: Discover the power of PHP/MySQL for building database-driven applications. Learn how to design, implement, and manage databases to store and retrieve data efficiently.Cross-Platform Development: Gain the versatility to build applications for various platforms. 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Free Download Complete Computer Vision Bootcamp With Pytoch & Tensorflow Published: 3/2025 Created by: Krish Naik,Sourangshu Pal,Monal kumar,KRISHAI Technologies Private Limited MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 175 Lectures ( 51h 46m ) | Size: 27.5 GB Learn Computer Vision with CNN, TensorFlow, and PyTorch - Master Object Detection from Basics to Advanced What you'll learn Master CNN concepts from basics to advanced with TensorFlow & PyTorch. Learn object detection models like YOLO and Faster R-CNN. Implement real-world computer vision projects step-by-step. Gain hands-on experience with data preprocessing and augmentation. Build custom CNN models for various computer vision tasks. Master transfer learning with pre-trained models like ResNet and VGG Gain practical skills with TensorFlow and PyTorch libraries Requirements Basic understanding of Python programming. Familiarity with fundamental machine learning concepts. Knowledge of basic linear algebra and calculus. Understanding of image data and its structure. Enthusiasm to learn computer vision with hands-on projects. Description In this comprehensive course, you will master the fundamentals and advanced concepts of computer vision, focusing on Convolutional Neural Networks (CNN) and object detection models using TensorFlow and PyTorch. This course is designed to equip you with the skills required to build robust computer vision applications from scratch.What You Will LearnThroughout this course, you will gain expertise in:Introduction to Computer VisionUnderstanding image data and its structure.Exploring pixel values, channels, and color spaces.Learning about OpenCV for image manipulation and preprocessing.Deep Learning Fundamentals for Computer VisionIntroduction to Neural Networks and Deep Learning concepts.Understanding backpropagation and gradient descent.Key concepts like activation functions, loss functions, and optimization techniques.Convolutional Neural Networks (CNN)Introduction to CNN architecture and its components.Understanding convolution layers, pooling layers, and fully connected layers.Implementing CNN models using TensorFlow and PyTorch.Data Augmentation and PreprocessingTechniques for improving model performance through data augmentation.Using libraries like imgaug, Albumentations, and TensorFlow Data Pipeline.Transfer Learning for Computer VisionUtilizing pre-trained models such as ResNet, VGG, and EfficientNet.Fine-tuning and optimizing transfer learning models.Object Detection ModelsExploring object detection algorithms like:YOLO (You Only Look Once)SSD (Single Shot MultiBox Detector)Faster R-CNNImplementing these models with TensorFlow and PyTorch.Image Segmentation TechniquesUnderstanding semantic and instance segmentation.Implementing U-Net and Mask R-CNN models.Real-World Projects and ApplicationsBuilding practical computer vision projects such as:Face detection and recognition system.Real-time object detection with webcam integration.Image classification pipelines with deployment.Who Should Enroll?This course is ideal for:Beginners looking to start their computer vision journey.Data scientists and ML engineers wanting to expand their skill set.AI practitioners aiming to master object detection models.Researchers exploring computer vision techniques for academic projects.Professionals seeking practical experience in deploying CV models.PrerequisitesBefore enrolling, ensure you have:Basic knowledge of Python programming.Familiarity with fundamental machine learning concepts.Basic understanding of linear algebra and calculus.Hands-on Learning with Real ProjectsThis course emphasizes practical learning through hands-on projects. 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