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Free Download Pluralsight - Optimizing and Deploying Applications in Next.js 15 Released 4/2025 By Adhithi Ravichandran MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 24m | Size: 1.55 GB In today's web, performance is key. This course will teach you how to optimize and deploy Next.js 15 applications, covering UI optimization, advanced image and font strategies, and efficient deployment workflows to build fast, scalable web apps. Performance issues and inefficient deployment processes can lead to poor user experiences and slow application load times, especially in complex web applications. In this course, Optimizing and Deploying Applications in Next.js 15, you'll learn how to improve the performance and deployment efficiency of your Next.js applications. First, you'll explore how to optimize common UI components, such as images, links, and scripts, using built-in Next.js features. Next, you'll discover advanced techniques for optimizing images and fonts to further enhance loading times and user experience. Finally, you'll learn how to implement effective performance optimization strategies, such as code splitting, lazy loading, and Incremental Static Regeneration (ISR), as well as deploying applications efficiently with Vercel and continuous deployment pipelines. When you're finished with this course, you'll have the skills and knowledge of Next.js performance optimization and deployment needed to create fast, scalable, and easily deployable applications. Homepage https://app.pluralsight.com/library/courses/optimizing-deploying-applications-next-js-15/table-of-contents [b]AusFile[/b] https://ausfile.com/3tp4bsbixd8u/ljuuc.Pluralsight..Optimizing.and.Deploying.Applications.in.Next.js.15.part1.rar.html https://ausfile.com/2f1f2qj9vrwl/ljuuc.Pluralsight..Optimizing.and.Deploying.Applications.in.Next.js.15.part2.rar.html Fileaxa https://fileaxa.com/zuj3l5ktkkku/ljuuc.Pluralsight..Optimizing.and.Deploying.Applications.in.Next.js.15.part1.rar https://fileaxa.com/m8eq3rpsbal7/ljuuc.Pluralsight..Optimizing.and.Deploying.Applications.in.Next.js.15.part2.rar TakeFile https://takefile.link/cdpnqqa6txw2/ljuuc.Pluralsight..Optimizing.and.Deploying.Applications.in.Next.js.15.part1.rar.html https://takefile.link/4ie1d8yt0qkq/ljuuc.Pluralsight..Optimizing.and.Deploying.Applications.in.Next.js.15.part2.rar.html Rapidgator http://peeplink.in/2376e5de7268 Fikper Free Download https://fikper.com/9ZvBDyE4jw/ljuuc.Pluralsight..Optimizing.and.Deploying.Applications.in.Next.js.15.part1.rar.html https://fikper.com/NyNw0JpzRY/ljuuc.Pluralsight..Optimizing.and.Deploying.Applications.in.Next.js.15.part2.rar.html No Password - Links are Interchangeable

Free Download Pluralsight - User Input Validation for C# Applications Released 4/2025 By Roman Canlas MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 33m | Size: 83 MB Learn to secure your C# applications by validating and sanitizing user input. Accepting user input is a common requirement in most applications. However, if not handled correctly, it can introduce serious security vulnerabilities. In this course, User Input Validation for C# Applications, you'll learn techniques to properly validate and sanitize user input in your C# code. First, you'll explore common vulnerabilities related to user input. Next, you'll discover how to use input validation and sanitization to mitigate risks. Finally, you'll learn about issues with deserialization and how to use schema validation to prevent insecure deserialization vulnerabilities. When you're finished with this course, you'll have the skills and knowledge to handle user input securely in your C# applications. Homepage: https://app.pluralsight.com/library/courses/user-input-validation-c-sharp/table-of-contents [b]AusFile[/b] https://ausfile.com/7d5amhjh5rv7/piqeo.pluralsight..User.Input.Validation.for.C.Applications.rar.html Fileaxa https://fileaxa.com/y9df8b7wf2kx/piqeo.pluralsight..User.Input.Validation.for.C.Applications.rar TakeFile https://takefile.link/y6rdy5gsnftb/piqeo.pluralsight..User.Input.Validation.for.C.Applications.rar.html Rapidgator http://peeplink.in/9c0621ef8470 Fikper Free Download https://fikper.com/ZveckONKsr/piqeo.pluralsight..User.Input.Validation.for.C.Applications.rar.html No Password - Links are Interchangeable

Free Download Udemy - Building LLM Powered Applications - Create Intelligent Apps Published: 4/2025 Created by: OCSALY Academy | 480.000+ Students MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 33 Lectures ( 4h 36m ) | Size: 2 GB Build intelligent apps with LLMs using Python, LangChain, and prompt engineering-hands-on and practical. What you'll learn Build intelligent applications using large language models (LLMs) like GPT and Mistral. Design effective prompts to guide LLM behavior using advanced prompt engineering techniques. Compare and evaluate popular LLMs for different application scenarios. Implement retrieval-augmented generation (RAG) with embeddings and vector databases. Use LangChain to create dynamic, modular AI-powered workflows. Create conversational agents and assistants capable of natural, context-aware dialogue. Embed custom data into LLM pipelines using semantic chunking and indexing. Apply few-shot learning strategies to improve response quality in LLM outputs. Integrate external tools and APIs with LLM agents for enhanced functionality. Deploy Python-based AI applications with real-world usability and scalability. Requirements No Requirements, you'll learn everything here! Including Python Description Are you ready to step into the future of AI development? This comprehensive course will teach you how to build real-world applications powered by Large Language Models (LLMs) like OpenAI's GPT, Anthropic's Claude, Meta's LLaMA, and Mistral. Whether you're a developer, engineer, student, or tech enthusiast, this course will guide you through everything from foundational theory to advanced implementation using modern tools like LangChain, LlamaIndex, and vector databases.In this hands-on, project-based course, you'll:Understand how LLMs work and how they differ from traditional modelsLearn the fundamentals of prompt engineering to guide model behavior effectivelyExplore embedding techniques and how to index knowledge for scalable applicationsBuild your own intelligent agents, chatbots, and assistantsUse semantic search, cosine similarity, and vector stores for real-time knowledge retrievalWork with tools like Python, LangChain, OpenAI API, Hugging Face, and moreCreate an LLM-powered conversational travel assistant from scratchWe also include a Python crash course to ensure every learner has the coding foundation to follow along.By the end of this course, you'll not only understand how to integrate LLMs into your applications-you'll have the practical skills to build your own intelligent tools and deploy them into the real world.No prior AI experience is required. Let's build the future-together. Who this course is for Software developers and engineers who want to integrate large language models into real-world applications and tools. Data scientists and AI enthusiasts looking to build intelligent agents using LangChain, embeddings, and prompt engineering. Entrepreneurs and product builders aiming to create AI-powered products like chatbots, assistants, or RAG systems with minimal overhead. Homepage: https://www.udemy.com/course/artificial-intelligence-certificated/ [b]AusFile[/b] https://ausfile.com/aymbgf33f5tk/orftc.Building.LLM.Powered.Applications..Create.Intelligent.Apps.part1.rar.html https://ausfile.com/6lo4bdvse97u/orftc.Building.LLM.Powered.Applications..Create.Intelligent.Apps.part2.rar.html https://ausfile.com/lig4c47642jv/orftc.Building.LLM.Powered.Applications..Create.Intelligent.Apps.part3.rar.html Rapidgator https://rg.to/file/046f49dd907c7c47810b105d01722f3c/orftc.Building.LLM.Powered.Applications..Create.Intelligent.Apps.part1.rar.html https://rg.to/file/5264e6573471b0b8ea54e2f396699124/orftc.Building.LLM.Powered.Applications..Create.Intelligent.Apps.part2.rar.html https://rg.to/file/f44011cac2abdd46331683d9e89858a8/orftc.Building.LLM.Powered.Applications..Create.Intelligent.Apps.part3.rar.html Fikper Free Download https://fikper.com/Tcf69Tqj41/orftc.Building.LLM.Powered.Applications..Create.Intelligent.Apps.part1.rar.html https://fikper.com/ntfyDJAki4/orftc.Building.LLM.Powered.Applications..Create.Intelligent.Apps.part2.rar.html https://fikper.com/YbHCzQA8zV/orftc.Building.LLM.Powered.Applications..Create.Intelligent.Apps.part3.rar.html No Password - Links are Interchangeable

Free Download Udemy - Building Desktop Applications with Python and Kivy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English (US) | Size: 3.86 GB | Duration: 6h 54m create modern GUIs with a cross platform NUI framework What you'll learn Build Graphical User Interfaces For Your Programs Know How To Use The Right Approach For A Particular Usecase Build Three Real World Applications Learn All The Ins and Outs of Kivy Seamlessly Integrate Third-Party Libraries with Kivy Requirements A basic understanding of Python A working python installation Description This course is designed for python developers who have been building console programs and would like to now tap into the world of graphical user interfaces. The goal of this course is to teach you everything you need to know about the kivy framework and help you build slick and modern graphical user interfaces to engage your users.By the time you finish this course, you will be able to build virtually any GUI you set your mind at. Who this course is for A curious and exploratory mind, Python developers who want to move from console programs to modern user interfaces, Professionals and/or hobbists who would like to learn a new thing Homepage: https://www.udemy.com/course/desktop-guis-with-python-and-kivy/ [b]AusFile[/b] https://ausfile.com/8iz6nhd94yp5/wvafx.Building.Desktop.Applications.with.Python.and.Kivy.part1.rar.html https://ausfile.com/p5bhr34ip8aq/wvafx.Building.Desktop.Applications.with.Python.and.Kivy.part2.rar.html https://ausfile.com/9luwtedo746x/wvafx.Building.Desktop.Applications.with.Python.and.Kivy.part3.rar.html https://ausfile.com/knuypmlgh95e/wvafx.Building.Desktop.Applications.with.Python.and.Kivy.part4.rar.html Rapidgator https://rg.to/file/8478bd394616865b28fbcf4be9683aca/wvafx.Building.Desktop.Applications.with.Python.and.Kivy.part1.rar.html https://rg.to/file/f9000755edda341e4055acb699275d55/wvafx.Building.Desktop.Applications.with.Python.and.Kivy.part2.rar.html https://rg.to/file/85128fc0185bb8b7b2285357ccc5639d/wvafx.Building.Desktop.Applications.with.Python.and.Kivy.part3.rar.html https://rg.to/file/8e08cf59fa0cfee3ae4c3d0723f4520d/wvafx.Building.Desktop.Applications.with.Python.and.Kivy.part4.rar.html Fikper Free Download https://fikper.com/wuogkJnH3r/wvafx.Building.Desktop.Applications.with.Python.and.Kivy.part1.rar.html https://fikper.com/050dLbCd5m/wvafx.Building.Desktop.Applications.with.Python.and.Kivy.part2.rar.html https://fikper.com/wu74LNhjyd/wvafx.Building.Desktop.Applications.with.Python.and.Kivy.part3.rar.html https://fikper.com/Oz9UV17AOH/wvafx.Building.Desktop.Applications.with.Python.and.Kivy.part4.rar.html No Password - Links are Interchangeable

Free Download Udemy - Master Web Applications Ethical Hacking & Cyber Attacks Published: 4/2025 Created by: Moustafa Samy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 31 Lectures ( 2h 9m ) | Size: 739 MB Learn how to ethically hack and secure web applications through real-world attacks What you'll learn Define the responsibilities of ethical hackers and penetration testers in securing web apps Plan and estimate timelines and resources for conducting web application penetration tests Identify and mitigate common web application security risks such as SQL Injection, XSS, and CSRF Complete a case study demonstrating a full web application penetration test from reconnaissance to reporting Requirements No previous technical knowledge or skills are required to start this course. Description Unlock the world of ethical hacking by mastering real-world web application cyber attacks. In this practical, hands-on course, you will dive deep into the most dangerous and commonly exploited web vulnerabilities, including SQL Injection, Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF), Remote Code Execution (RCE), File Inclusion, Broken Authentication, and more. You'll learn how to think like a hacker-understanding the methods attackers use-and how to secure applications against these threats.This course was carefully designed using AI voice-over tools, making it clear, engaging, and easy to understand for students around the world. Whether English is your first language or not, the AI-powered narration ensures a smooth and professional learning experience that's accessible to all.Through detailed demonstrations, real-world examples, and guided lab exercises, you'll gain hands-on experience using essential tools like Burp Suite, OWASP ZAP, and browser developer tools. You'll also explore the OWASP Top 10 security risks and learn how to exploit and mitigate each one effectively.Whether you're a beginner with no prior hacking knowledge, a developer aiming to write secure code, or a cybersecurity enthusiast preparing for a career in ethical hacking or penetration testing, this course is for you. Everything is explained in a beginner-friendly way, progressing step by step from theory to practice.By the end of the course, you'll have a solid understanding of how web application attacks work, how to exploit them in a controlled and ethical environment, and most importantly-how to defend against them.All you need is a passion for cybersecurity and a willingness to learn. No prior experience is required. Who this course is for Anyone who wants to understand how web applications and servers can be hacked , and which kind of web attacks. Homepage: https://www.udemy.com/course/master-web-applications-ethical-hacking-cyber-attacks/ [b]AusFile[/b] https://ausfile.com/v91k4lchvz1g/tmmyh.Master.Web.Applications.Ethical.Hacking..Cyber.Attacks.rar.html Fileaxa https://fileaxa.com/9hm84o4011ic/tmmyh.Master.Web.Applications.Ethical.Hacking..Cyber.Attacks.rar TakeFile https://takefile.link/3sk1y0ut4ckx/tmmyh.Master.Web.Applications.Ethical.Hacking..Cyber.Attacks.rar.html Rapidgator https://rg.to/folder/8026382/MasterWebApplicationsEthicalHackingCyberAttacks.html Fikper Free Download https://fikper.com/yMZJO4j7xM/tmmyh.Master.Web.Applications.Ethical.Hacking..Cyber.Attacks.rar.html No Password - Links are Interchangeable

Free Download Linkedin - AI Workshop Building AI Applications with Hugging Face Models Released 04/2025 With Dhhyey Desai MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 34m | Size: 83 MB Learn to develop AI applications for sentiment analysis, object detection, and speech recognition using Hugging Face's advanced models in this hands-on, project-based course. Course details This course is designed to equip you with the skills required to develop AI applications using cutting-edge models from Hugging Face. Throughout the course, instructor Dhhyey Desai outlines three hands-on projects: sentiment analysis in multiple languages using the Aya 23 model, object detection in images with the LLaVA model, and automatic speech recognition using wav2vec 2.0. Each chapter guides you through the essential steps of setting up your environment, preprocessing data, implementing the models, and visualizing or post-processing the results. By the end of this course, you'll have practical experience deploying AI solutions across various domains and a solid understanding of how to leverage Hugging Face's powerful APIs. Homepage: https://www.linkedin.com/learning/ai-workshop-building-ai-applications-with-hugging-face-models [b]AusFile[/b] https://ausfile.com/i0ikdo3zgz4r/yrxei.Linkedin..AI.Workshop.Building.AI.Applications.with.Hugging.Face.Models.rar.html Fileaxa https://fileaxa.com/1dyp1d0r7hh0/yrxei.Linkedin..AI.Workshop.Building.AI.Applications.with.Hugging.Face.Models.rar TakeFile https://takefile.link/3lowiqc72lb5/yrxei.Linkedin..AI.Workshop.Building.AI.Applications.with.Hugging.Face.Models.rar.html Rapidgator http://peeplink.in/7391df092a66 Fikper Free Download https://fikper.com/XQ79jzqHId/yrxei.Linkedin..AI.Workshop.Building.AI.Applications.with.Hugging.Face.Models.rar.html No Password - Links are Interchangeable

Free Download Pluralsight - Secure Authentication Flow for C# Applications Released 4/2025 By Alexander Tushinsky MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 57m | Size: 166 MB Learn to implement secure authentication in modern web apps using ASP.NET Identity. This course covers full authentication flow in C#, helping you protect user data and enhance app security with best practices. Poor authentication and identity management can leave applications vulnerable to attacks such as credential stuffing, brute force attempts, and unauthorized access. In this course, Secure Authentication Flow for C# Applications, you'll learn to implement secure authentication using ASP.NET Identity to protect your applications and users. First, you'll explore how authentication works, including secure login flows, multifactor authentication (MFA), and session management. Next, you'll discover how to integrate ASP.NET Identity into an existing web application, configuring authentication and authorization settings. Finally, you'll learn how to enhance security by mitigating common vulnerabilities such as brute force attacks, password leaks, and improper session handling. When you're finished with this course, you'll have the skills and knowledge to integrate appropriate security to build secure, user-friendly authentication flows in your C# applications. Homepage: https://app.pluralsight.com/library/courses/authentication-flow-c-sharp/table-of-contents [b]AusFile[/b] https://ausfile.com/qlvl75f8m71u/bvzia.Pluralsight..Secure.Authentication.Flow.for.C.Applications.rar.html Fileaxa https://fileaxa.com/gn1cjefypyps/bvzia.Pluralsight..Secure.Authentication.Flow.for.C.Applications.rar TakeFile https://takefile.link/1k8ella4rp92/bvzia.Pluralsight..Secure.Authentication.Flow.for.C.Applications.rar.html Rapidgator http://peeplink.in/33610132f850 Fikper Free Download https://fikper.com/HKQC3drWgR/bvzia.Pluralsight..Secure.Authentication.Flow.for.C.Applications.rar.html No Password - Links are Interchangeable

Free Download Pluralsight - Full-stack AI Applications with Python and React Released 4/2025 By Sarah Holderness MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 4m | Size: 195 MB This course is designed to teach full-stack developers how to build intelligent, scalable applications by integrating AI-powered Python backends with interactive React frontends. Learn to create a generative AI project! In this course, Full-stack AI Applications with Python and React, you will get a guide to building full-stack applications that leverage AI capabilities using Python for backend logic and React for the frontend interface. First, you will explore backend API development with Python and AI model integration. Next, you will see how to build interactive frontends in React to display data and predictions dynamically. Finally, you will learn how to deploy full-stack applications in the cloud, ensuring scalability and reliability for AI-driven solutions. By the end of the course, you'll know how to build AI-powered full-stack applications using modern Python framework. Homepage: https://app.pluralsight.com/library/courses/full-stack-ai-applications-python-react/table-of-contents [b]AusFile[/b] https://ausfile.com/k26x657pqn28/uijlt.Pluralsight..Fullstack.AI.Applications.with.Python.and.React.rar.html Fileaxa https://fileaxa.com/g2uqkwz5k5e3/uijlt.Pluralsight..Fullstack.AI.Applications.with.Python.and.React.rar TakeFile https://takefile.link/bm0drgmpr2v2/uijlt.Pluralsight..Fullstack.AI.Applications.with.Python.and.React.rar.html Rapidgator http://peeplink.in/4e5cf3ba8459 Fikper Free Download https://fikper.com/J38hKxsmH2/uijlt.Pluralsight..Fullstack.AI.Applications.with.Python.and.React.rar.html No Password - Links are Interchangeable

Free Download Finance Fundamentals - Real World Applications & Case Studies Published: 3/2025 Created by: Tonguc Akbas MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 77 Lectures ( 7h 42m ) | Size: 5.1 GB Master Finance Fundamentals. Build expertise with 25+ exercises/real world case studies for strategic decision making. What you'll learn Core principles of microeconomics and macroeconomics Analyze financial statements (Balance Sheet & Income Statement) Financial ratios to evaluate company performance Time value of money and its impact on investment decisions Budgeting and forecasting techniques Company valuations using real-life examples like Apple. Data-driven decision-making tools for financial forecasting. Financial modeling and valuation. 25+ Hands-on Exercises, Case Studies, and Real-World Applications. Potentially Get Hired as a Finance/Accounting/Strategy Manager Requirements It does not require previous finance experience/background. The course is suitable for anyone who wants to get the essence of 10+ years business & financial decision making experience in distilled and practical way. Description Why is This Course Unique?Most finance courses overwhelm students with theory, leaving them unprepared for real-lifescenarios. This course fills the gap with practical, hands-on exercises and relatable examples.You'll learn to understand financial statements, analyze ratios, and build business cases withconfidence. With exercises on profitability analysis, market entry, and M&A decisions, thiscourse ensures you're equipped for both corporate roles and entrepreneurial ventures.Who is This Course For?Whether you are a student, entrepreneur, or professional, this course is tailored for anyonelooking to master finance essentials for business or personal growth.What Will You Gain?By the end of this course, you'll have the tools to build robust financial cases, understandeconomic principles, and make data-driven decisions confidently.What Will You Learn?1- How to Understand Economic Behavior?Microeconomics principles like scarcity, opportunity cost, and profit maximization.Exercises: Opportunity cost calculation and production decision-making.2- How to Evaluate Economic Systems?Macroeconomics concepts like GDP, inflation, and unemployment.Exercises: GDP calculation and interest rate adjustments to control inflation.3-How to Analyze Business Health?Understanding financial statements (Income Statement, Balance Sheet, and Cash Flow).Exercises: Analyzing financial statements of real-life examples like Apple 4-How to Use Financial Ratios?Liquidity, profitability, and efficiency ratios to assess performance.Exercises: Compare company performance using financial ratios.5-How to Value a Business?Discounted Cash Flow (DCF) method with real-world examples.Exercises: Valuing Apple using financial projections and terminal growth rates.6-How to Leverage the Time Value of Money?Present and future value calculations, compounding, and discounting.Exercises: Calculate Net Present Value (NPV) for investment decisions.7-How to Plan and Forecast Financials?Building budgets and forecasting costs and revenues.Exercises: Creating a 5-year budget for a subscription-based business.8-How to Make Strategic Decisions?Case studies on market entry, profitability, and mergers & acquisitions.Exercises: Scenario analysis for investment choices.9-How to Minimize Costs and Maximize Profit?Fixed vs. variable costs and optimizing cost structures.Exercises: Analyzing cost structures like Netflix's operating costs.10-How to Use Data for Financial Decisions?Big data and analytics in forecasting and decision-making.Exercises: Building data-driven financial models for business scenarios.Extra: Real-World SkillsLearn essential Excel skills for financeBuild financial projections and analyze profitability scenariosDisclaimer:This course is for educational purposes only and does not provide investment, tax, or financial advice. 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Free Download Deploying Python Applications On Google Cloud Platform Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.11 GB | Duration: 2h 35m From Training to Cloud: Deploying Machine Learning Models on GCP with Python What you'll learn Explore key platform services like Google Compute Engine (GCE), App Engine (GAE), Kubernetes Engine (GKE), Cloud Run, and Cloud Functions Determine the most suitable service for each type of application Train and evaluate a CNN model, including creating a Python project locally that's ready for deployment Deploy your machine learning application across multiple GCP services, learning to configure environments and manage resources Prevent unnecessary costs by properly cleaning up resources after deployment Requirements Basic knowledge of Python and machine learning (prior experience with neural networks is a plus) Familiarity with web development concepts (optional but recommended) Description Learning to implement machine learning models in production is a critical skill for data scientists who want to move beyond theoretical analysis and create practical business impact. While building models is essential, it is during deployment that these solutions come to life, becoming accessible to end users and integrating into real-world systems. Mastering this phase allows data scientists to ensure the scalability of their solutions, monitor performance in dynamic environments, and collaborate effectively with development and operations teams. Additionally, understanding the full lifecycle-from training to cloud deployment-enhances professional relevance, positioning data scientists as strategic players capable of delivering tangible value from conception to operation.This introductory course is designed for developers, machine learning enthusiasts, and data professionals who want to learn how to deploy their first AI applications on the web using Google Cloud Platform (GCP). Through a hands-on approach, you will be guided from training a convolutional neural network (CNN) for image classification to deploying the model on scalable cloud services. The course includes an introduction to key GCP services such as Google Compute Engine (GCE), App Engine (GAE), Kubernetes Engine (GKE), Cloud Run, and Cloud Functions, enabling you to compare and choose the best option for your project.In the first stage, you will set up your local environment: import libraries (like TensorFlow/Keras), train and evaluate your CNN model, and create a simple Python application to integrate with the trained model. Next, you will learn how to configure GCP and deploy to different services.Ideal for cloud computing beginners and professionals looking to put machine learning models into production. By the end, you will have deployed a functional web application for image classification in the cloud, mastering the full development cycle-from model training to deployment on Google's professional services. Overview Section 1: Introduction Lecture 1 Course content Lecture 2 Course materials Lecture 3 Technical terms Lecture 4 Google Cloud Platform services 1 Lecture 5 Google Cloud Platform services 2 Section 2: Preparing the application Lecture 6 Importing the libraries Lecture 7 Loading the dataset Lecture 8 Creating and training the model Lecture 9 Model evaluation Lecture 10 Creating a local project Lecture 11 Creating a Python app 1 Lecture 12 Creating a Python app 2 Section 3: Deploying Python app on GCP Lecture 13 Preparing Google Cloud Platform Lecture 14 Deploy on Google Compute Engine (GCE) 1 Lecture 15 Deploy on Google Compute Engine (GCE) 2 Lecture 16 Deploy on Google App Engine (GAE) Lecture 17 Deploy on Google Kubernetes Engine (GKE) Lecture 18 Deploy on Cloud Run Lecture 19 Deploy on Cloud Run Functions Lecture 20 Avoid charges: cleaning the environment Section 4: Final remarks Lecture 21 Final remarks Lecture 22 BONUS Cloud computing beginners looking to take their first steps with GCP,Data scientists and Python developers aiming to deploy machine learning models in production Homepage: https://www.udemy.com/course/deploying-python-applications-on-google-cloud-platform/ Rapidgator https://rg.to/file/00a6c63e5c2293cb99ce99a49e5d290a/rgwkh.Deploying.Python.Applications.On.Google.Cloud.Platform.part1.rar.html https://rg.to/file/59b2715b8fdf626a5263b8187b43be66/rgwkh.Deploying.Python.Applications.On.Google.Cloud.Platform.part2.rar.html Fikper Free Download https://fikper.com/koeDkzEzO6/rgwkh.Deploying.Python.Applications.On.Google.Cloud.Platform.part1.rar.html https://fikper.com/Wa6ItfkWqU/rgwkh.Deploying.Python.Applications.On.Google.Cloud.Platform.part2.rar.html No Password - Links are Interchangeable

Free Download Using Fyne and Go to build graphical applications - Beginner Published: 3/2025 Created by: Andrew Williams MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 56 Lectures ( 4h 27m ) | Size: 2.8 GB Learn how to use Fyne and Go (Golang) to build desktop and mobile applications for Mac, iOS, Windows, Linux, and Android What you'll learn How to use Fyne and Go to create cross-platform native graphical applications for desktop and mobile platforms. How to set up your system for development with Fyne and Go. Use Fyne to create user interfaces for your applications. How to package Fyne apps for local installation. How to use preferences, error handling and dialogue with Fyne. Learn how to code with Fyne using three different example apps. Requirements There are some prerequisites that will help you get the most out of this course. Firstly a basic familiarity with programming with Go (Golang) would be useful, although we will be stepping through and explaining all the code throughout the sections. In order to follow along with the coding examples you should have a computer that is running Mac (High Sierra or later), Windows (7 or later), or Linux/BSD. Internet access will also be required. Description Do you want to build captivating graphical applications that run seamlessly across multiple operating systems, including desktop, mobile and web?In this course you will learn the knowledge and skills to develop native graphical applications with the Fyne toolkit and the Go (Golang) programming language. Whether you are a seasoned developer looking to expand your skill set or a newcomer eager to explore the realm of graphical application development, this course is your gateway to mastering the Fyne and Go to create engaging platform-independent applications.Go, also known as Golang, is a programming language renowned for its simplicity, efficiency, and concurrency support. Developed by Google engineers, Go was crafted with a focus on readability, ease of use, and rapid compilation. Its minimalist syntax, robust standard library, and built-in tools make Go a compelling choice for a wide range of applications, from web development to systems programming. However, until recently the development of graphical applications with Go was limited.Fyne is an open source toolkit designed for the creation of graphical user interfaces with the Go programming language. Fyne can be used to create graphical applications for desktop, mobile and the web, including Mac, Windows, Linux, iOS, Android, BSD and other systems. The Fyne toolkit is designed for usability with widgets and layouts that adapt to the user context. Applications can be rapidly deployed to different devices quickly and easily from a single codebase. In this course we will start with the basics of Fyne and Go development with a Hello World and Greeter app. We will then explore basic user interface development and data storage with a packing list application. Our third application will be a recipe app which will include images, error handling and dialogues.This course will cover:How to use Fyne and Go to create cross-platform native graphical applications for desktop and mobile platformsHow to set up your system for development with Fyne and GoHow to use Fyne to create user interfaces for your applicationsHow to package Fyne apps for local installationHow to .Fyne is a user-friendly Go toolkit for building cross-platform graphical user interfaces, offering simplicity, ease of use, and visually appealing application development. This course will help you develop the skills to efficiently develop cross-platform graphical applications. Who this course is for This course is designed for people who are interested in creating native graphical applications which work on multiple devices. This course will cover the basics of how to use the Fyne toolkit and Go (Golang) programming language to develop native cross-platform graphical applications. 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Free Download Easy Kung Fu Fighting Applications - Learn Mantis Martial Art Last updated: 1/2019 Created by: David Wong MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 50 Lectures ( 1h 17m ) | Size: 1.67 GB Learn the secret behind Kung Fu Fighting What you'll learn Boost Your Energy Increase Your Muscle Strength and Speed Increase Your Stamina and Resilience Relief Stress and Anxiety Improve Your Coordination and Flexibility Learn Self Defense Gain Self Discipline Gain Self Confidence Requirements Train anytime, anywhere! No physical teacher necessary No experience necessary No equipment necessary Description Discover The World's Only Martial Arts Training Course With Instant Access To:Bruce Lee's Secret Kung FuAncient 400-year-old martial arts techniques revealed18 kung fu styles in 1Unique attack combinations with striking, kicking, grappling and joint lockingThe MMA of Chinese Martial ArtsThe World's Most Versatile Kung FuWhat you'll learn in This Course...Parry , Slip, PunchMantis Claw Arm ControlGrab, Flying Knee And PunchPicking Hand, Forcing Step, Palm Push, Straight PunchGrab, Flying Knee And PunchElbow Strike -ThrowParry, BackfistParry, Finger Strike, Stomp KickDouble Grab, Double Pull, Grab Hammer FistTriple Hand (Double Grab Punch)Scoop and UppercutParry, Pull, Palm TakedownRetreat Scoop and uppercutKick Defence and Hammer takedownArmbar, Elbow Throw3 Point TakedownMantis Claw ArmbarEye Gouge, Flying KickArmbreak, Strike BodyStealing Hand HookDouble Block and CutWrist Lock and Arm PassFlat Fist, Leg Sweep, Stomp7 Star Sweep ThrowHook BackfistPull Back, 7 Star PunchPraying Mantis Beng Bo Form Performance DemonstrationsForm Demonstration 1Form Demonstration 26 Mantis Grabs and ApplicationsMantis Diu Sau (Outside Grab)Mantis Lau Sau (Inside Grab)Eagle Catch Grab Choy Sau (Pulling Grab)Tou Sau (Steeling Grab)Triple Hand Grab6 Hand Positions and ApplicationsPalmFistMantis ClawEagle CatchFlat FistFinger Strike6 Mantis Kicks and ApplicationsKnee KickSnap KickStomp KickSweep Kick Hook KickSide Kick6 Stances and ApplicationsHorse StanceBow StanceCat Stance7 Star StanceMonkey StanceStomp Stance Who this course is for Anyone interested in Praying Mantis Kung Fu Anyone Interested in alternative Fitness Training Anyone Interested in Martial Arts Anyone interested in Self Defense Homepage: https://www.udemy.com/course/7-star-praying-mantis-kung-fu-fighting-applications-level-1/ Rapidgator https://rg.to/file/8b297e82429ab7bb83abb0b49436dcf7/esjmv.Easy.Kung.Fu.Fighting.Applications..Learn.Mantis.Martial.Art.part1.rar.html https://rg.to/file/6e088824408dfd91112ebebeefd6d7de/esjmv.Easy.Kung.Fu.Fighting.Applications..Learn.Mantis.Martial.Art.part2.rar.html Fikper Free Download https://fikper.com/WEVJEUiOON/esjmv.Easy.Kung.Fu.Fighting.Applications..Learn.Mantis.Martial.Art.part1.rar.html https://fikper.com/dC6pIErE8M/esjmv.Easy.Kung.Fu.Fighting.Applications..Learn.Mantis.Martial.Art.part2.rar.html No Password - Links are Interchangeable

Free Download PLECS Advanced - Power Electronics Applications & Control Published: 3/2025 Created by: Power To Human MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 12 Lectures ( 6h 13m ) | Size: 2 GB Advanced power electronics modeling in PLECS: Multilevel converters, HVDC, motor drives, and real-time simulation. What you'll learn Understand scalable power converters - Learn the theory, design, and operation of multilevel and multimodular converters in PLECS. Model and simulate advanced converter topologies - Implement and control 3-level NPC inverters and MMC using PLECS. Analyze back-to-back converter systems - Design and simulate grid-connected rectifiers, HVDC applications, and bidirectional power flow. Implement motor drive control strategies - Apply Field Oriented Control (FOC) and Space Vector Modulation (SVM) to induction machines. Explore PLECS libraries for power electronics - Utilize magnetic, mechanical, electrical, and thermal components in system modeling. Prepare PLECS models for real-time simulation - Integrate designs with PLECS RT-Box and other RTS systems for hardware testing. Apply advanced power electronics concepts to real-world cases - Gain hands-on experience with industry-relevant applications. Requirements Basic Power Electronics Concepts - Familiarity with rectifiers, inverters, and basic converter topologies is helpful. Fundamentals of Control Systems - Understanding feedback control, modulation techniques, and dynamic response. Experience with PLECS or Similar Simulation Tools - Prior exposure to PLECS, MATLAB Simulink, or similar tools will be beneficial. Basic Electrical Engineering Knowledge - Knowledge of circuit analysis, AC/DC systems, and power flow. PLECS (Standalone or Blockset version) - A working version of PLECS is required for hands-on exercises. MATLAB/Simulink (Optional) - If using PLECS Blockset, MATLAB/Simulink is needed. Basic Computer Setup - Any Windows/macOS/Linux system that can run PLECS efficiently. Description Are you ready to take your power electronics simulation skills to the next level? This advanced PLECS course is designed for engineers, researchers, and students looking to master the modeling and control of multilevel converters, motor drives, HVDC systems, and real-time simulations.Through a structured, hands-on approach, you will learn to design, analyze, and simulate scalable power converters, including Neutral Point Clamped (NPC) inverters and Multi-Modular Converters (MMC). You'll also explore back-to-back converter applications, including grid-connected rectifiers and bidirectional HVDC systems.In the motor drives module, we'll cover advanced Field-Oriented Control (FOC) and Space Vector Modulation (SVM), demonstrating both sensor-based and sensorless methods. Additionally, we'll explore PLECS libraries for mechanical and magnetic components, making system modeling more intuitive and efficient.A key part of this course is preparing PLECS models for real-time simulation using PLECS RT-Box and other RTS platforms, ensuring you gain industry-relevant skills applicable to modern power systems, renewable energy applications, and industrial automation.Whether you are an engineer working on industrial applications or a researcher exploring power converter topologies, this course will give you the advanced tools and techniques needed for high-fidelity power electronics simulations, optimization, and analysis.Enroll now and elevate your expertise in power electronics with PLECS today! Start building next-generation power systems with confidence. Who this course is for Power electronics engineers working in converter design, motor drives, HVDC, and renewable energy who want to optimize their simulation workflows. Electrical and control engineers dealing with grid integration, power converters, and control systems looking to refine their modeling skills. Researchers and graduate students involved in academic or industrial research on multilevel converters, modular systems, and advanced control methods. Simulation enthusiasts and PLECS users who want to explore advanced modeling techniques and real-time applications. Industrial professionals in power systems working in marine, automotive, aerospace, and energy sectors who need robust simulation tools for system validation. 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Free Download DeepSeek - Exploring Deep AI and Its Applications Last updated: 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: Arabic | Size: 902.11 MB | Duration: 4h 10m DeepSeek R1 & V3: استكشاف تطورات الذكاء الاصطناعي العميق ووضع البحث What you'll learn استفد من الميزات الأساسية لـ ديب سيك لحل المهام اليومية، بدءًا من زيادة الإنتاجية وصولاً إلى تعزيز الإبداع، دون الحاجة إلى خبرة تقنية. أتقن فن هندسة التوجيه (Prompt Engineering) من خلال صياغة أوامر واضحة ومحددة، غنية بالسياق، لضمان الحصول على استجابات عالية الجودة من الذكاء الاصطناعي طبق أدوات الذكاء الاصطناعي في سيناريوهات واقعية، مثل صياغة الرسائل الإلكترونية، وتلخيص المحتوى، والعصف الذهني للأفكار، وتبسيط الموضوعات المعقدة استخدم تقنيات متقدمة مثل التوجيه التكراري وتدفقات العمل متعددة الخطوات لتحسين المخرجات والتعامل مع التحديات المعقدة بكفاءة. Requirements المتطلبات المسبقة: لا يوجد (لا يلزم وجود خبرة برمجية سابقة) Description استكشاف الذكاء الاصطناعي العميق ومفتوح المصدر هي دعوة لك للغوص في عالم الذكاء الاصطناعي مفتوح المصدر دون الحاجة إلى خبرة تقنية! هذه الدورة الشاملة تُبسط مفاهيم الذكاء الاصطناعي من خلال التركيز على ديب سيك، أداة ذكاء اصطناعي قوية ومدارة من قبل المجتمع، مصممة لتمكين الجميع، من المتعلمين الفضوليين إلى المحترفين، من استخدام الذكاء الاصطناعي في المهام اليومية. سواء كنت ترغب في تبسيط عملك، أو تحفيز إبداعك، أو ببساطة فهم كيفية تعزيز الذكاء الاصطناعي لحياتك، فإن هذه الدورة تزودك بالمهارات اللازمة للتفاعل مع الذكاء الاصطناعي بثقة باستخدام أوامر بسيطة.عبر ثمانية وحدات تفاعلية، ستتعلم كيفية صياغة الأوامر التي تُطلق الإمكانيات الكاملة للنظام. ستكتشف كيفية توليد الأفكار، وأتمتة المهام المتكررة، وصياغة المحتوى، وتبسيط البحث، وحتى التعامل مع المشاريع الإبداعية مثل سرد القصص والعصف الذهني-كل ذلك من خلال تمارين عملية وبسيطة.لماذا تُسجل في هذه الدورة؟· لا حاجة للبرمجة: تعلم باستخدام الأوامر واللغة البسيطة، دون الحاجة إلى خبرة سابقة في البرمجة.· تأثير واقعي: طبق الذكاء الاصطناعي على التحديات الشخصية، المهنية، والإبداعية لتحقق نتائج ملموسة.· أساس أخلاقي: افهم دور الذكاء الاصطناعي مفتوح المصدر في بناء مستقبل رقمي عادل ومستدام.· نماذج عملية لتطبيقات الديب سيك في مجالات مثل التحليل التلقائي وتحسين الإنتاجية.بغض النظر عن خلفيتك-سواء كنت معلمًا، رائد أعمال، فنانًا، أو هاويًا-تُحوّل هذه الدورة الذكاء الاصطناعي من مجرد مصطلح رائج إلى أداة عملية تُستخدم يوميًا. انضم إلينا لاستكشاف آفاق مستقبل الذكاء الاصطناعي مفتوح المصدر، حيث تكون التكنولوجيا في خدمة الجميع، وليس فقط النخبة التقنية. سجّل اليوم وابدأ في المساهمة في تشكيل الغد! المحترفون غير التقنيين (مثل المسوّقين والكتّاب) الذين يسعون لتعزيز الإنتاجية والإبداع باستخدام ديب سيك.,الطلاب والمعلمون الذين يسعون إلى تبسيط البحث والتعلم وإنشاء المحتوى دون الحاجة إلى مهارات برمجية.,المستخدمون اليوميون المهتمون بأتمتة المهام (مثل البريد الإلكتروني، وجدولة المواعيد، والعصف الذهني) أو استكشاف الذكاء الاصطناعي في مشاريعهم الشخصية.,المبدعون والهواة (الفنانون، المدونون، عشاق المشاريع اليدوية) الذين يبحثون عن أفكار ومسودات وحلول باستخدام التوجيهات الذكية.,المتعلمون الفضوليون الذين يرغبون في فهم التطبيقات العملية للذكاء الاصطناعي والاستخدام الأخلاقي له في الحياة اليومية. Homepage: https://www.udemy.com/course/deepseek-deep/ DOWNLOAD NOW: DeepSeek - Exploring Deep AI and Its Applications Rapidgator https://rg.to/file/f6136b8a4e8ab1f9ce4a25c58cb8608d/kxddf.DeepSeek..Exploring.Deep.AI.and.Its.Applications.rar.html Fikper Free Download https://fikper.com/vJFs6pVXoN/kxddf.DeepSeek..Exploring.Deep.AI.and.Its.Applications.rar.html No Password - Links are Interchangeable

Free Download Linkedin - Creating Advanced AI Applications with Python, APIs, and GitHub Models Released 03/2025 With Jonathan Fernandes MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 1h 17m 6s | Size: 177 MB Learn how to create AI applications with advanced LLM tooling that integrates with third-party APIs using GitHub Models. Course details GitHub Models lets you build AI features and products that integrate with third-party APIs. In this course, instructor Jonathan Fernandes shows you how to create an AI application using advanced large language model (LLM) tooling and GitHub Models. Experiment with LLM tooling such as function calling to determine the best LLM for the task, and then start designing and building your own prototype. Test out your new skills along the way in the hands-on coding challenges at the end of each section. By the end of this course, you'll be equipped with the skills you need to create, test, validate, and deploy an AI-powered app that works effectively with a third-party API. Homepage: https://www.linkedin.com/learning/creating-advanced-ai-applications-with-python-apis-and-github-models TakeFile https://takefile.link/rvhx29isn0qj/qsugy.Linkedin..Creating.Advanced.AI.Applications.with.Python.APIs.and.GitHub.Models.rar.html Rapidgator https://rg.to/file/48c072e87e288501065844b0e4cd3123/qsugy.Linkedin..Creating.Advanced.AI.Applications.with.Python.APIs.and.GitHub.Models.rar.html Fikper Free Download https://fikper.com/F6SUnRwatG/qsugy.Linkedin..Creating.Advanced.AI.Applications.with.Python.APIs.and.GitHub.Models.rar.html : No Password - Links are Interchangeable

Free Download Linkedin - Creating AI Applications with Python and GitHub Models Released 03/2025 With Jonathan Fernandes MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 34m | Size: 74 MB Learn how to create AI-powered applications from prototype to production using GitHub Models. Course details GitHub Models offers a variety of AI-powered models that you can use to build AI features and products. In this course, instructor Jonathan Fernandes shows you how to create an AI application using GitHub Models to solve a specific problem. Learn how to select the best large language model to address the problem and then customize the model to meet your needs. By the end of this course, you'll be equipped with the skills you need to build, test, validate, and deploy your own AI prototype. Homepage: https://www.linkedin.com/learning/creating-ai-applications-with-python-and-github-models Fileaxa https://fileaxa.com/fijlk5g3vodx/rolom.Linkedin..Creating.AI.Applications.with.Python.and.GitHub.Models.rar TakeFile https://takefile.link/oajcd97vhvdq/rolom.Linkedin..Creating.AI.Applications.with.Python.and.GitHub.Models.rar.html Rapidgator https://rg.to/file/c79e7362dcb14bd215fba6b3c4bf0f4b/rolom.Linkedin..Creating.AI.Applications.with.Python.and.GitHub.Models.rar.html Fikper Free Download https://fikper.com/1EtKf7sMUZ/rolom.Linkedin..Creating.AI.Applications.with.Python.and.GitHub.Models.rar.html : No Password - Links are Interchangeable

Free Download Udemy - Blockchain Technology and Applications (2025) Published: 3/2025 Created by: Uplatz Training MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 16 Lectures ( 9h 46m ) | Size: 4.76 GB Learn Blockchain Concepts, Smart Contracts, Cryptography & Real-World Applications for Finance, Supply Chain & Beyond What you'll learn Blockchain Basics - Explain distributed ledgers, decentralization, and consensus mechanisms. Cryptographic Security - Understand hashing, encryption, and digital signatures in blockchain. Blockchain Types - Compare public, private, consortium, and hybrid blockchains. Smart Contracts & DApps - Develop and deploy smart contracts using Solidity. Consensus Mechanisms - Evaluate PoW, PoS, and other blockchain consensus models. Real-World Use Cases - Explore applications in finance, supply chain, and healthcare. Blockchain Development - Build solutions using Ethereum, Hyperledger, and Binance Smart Chain. DeFi & Cryptos - Learn about decentralized finance, tokenomics, and NFTs. Web3 & Metaverse - Understand blockchain's role in Web3 and metaverse applications. Security & Scalability - Identify risks and explore Layer 2 scaling solutions. Regulations & Compliance - Study blockchain governance, GDPR, and SEC guidelines. Blockchain in Business - Apply blockchain for automation, efficiency, and innovation. Requirements Enthusiasm and determination to make your mark on the world! Description A warm welcome to the Blockchain Technology and Applications course by Uplatz.What is Blockchain?Blockchain is a decentralized, distributed ledger technology that records transactions securely and transparently. It eliminates the need for intermediaries by enabling trustless transactions through cryptographic mechanisms.Blockchain is revolutionizing industries by providing security, efficiency, and decentralization in digital transactions and processes.How Blockchain WorksTransaction Initiation - A transaction is created and digitally signed by the sender.Transaction Verification - Nodes (computers in the network) validate the transaction using consensus mechanisms like Proof of Work (PoW) or Proof of Stake (PoS).Block Formation - Validated transactions are grouped into a block.Consensus & Block Addition - The new block is added to the blockchain through consensus protocols.Immutable Ledger Update - The block is cryptographically linked to the previous block, making data tamper-proof and permanent.Core Features of BlockchainDecentralization - No single authority controls the network.Immutability - Transactions, once recorded, cannot be altered or deleted.Transparency - Public blockchains allow anyone to verify transactions.Security - Cryptographic encryption ensures data integrity.Smart Contracts - Self-executing contracts automate processes.Consensus Mechanisms - Ensure transaction validation without intermediaries.Real-World Applications of BlockchainCryptocurrency - Bitcoin, Ethereum for decentralized digital payments.Supply Chain Management - Enhances transparency, reduces fraud in logistics.Healthcare - Secures patient records, ensures data integrity.Finance & Banking - Faster cross-border transactions, reduced fraud risks.Voting Systems - Enables secure, tamper-proof digital elections.Intellectual Property Protection - Tracks ownership and copyright securely.Identity Management - Decentralized digital identity verification.Real Estate - Streamlines property transactions and ownership records.Gaming & NFTs - Ensures asset ownership and digital scarcity.Government & Public Services - Transparent land registry, welfare distribution.Blockchain Technology and Applications - Course CurriculumModule 1: Introduction to BlockchainLecture 1: Understanding Blockchain TechnologyLecture 2: History and Evolution of BlockchainLecture 3: Key Concepts - Decentralization, Consensus, CryptographyLecture 4: Public vs. Private BlockchainsModule 2: Cryptography and Security in BlockchainLecture 5: Cryptographic Hash Functions (SHA-256, Keccak-256)Lecture 6: Public and Private Keys, Digital SignaturesLecture 7: Merkle Trees and Data IntegrityLecture 8: Security Threats and Mitigation in BlockchainModule 3: Blockchain Architecture & ComponentsLecture 9: Structure of a Block - Hash, Timestamp, TransactionsLecture 10: Blockchain Nodes and Network StructureLecture 11: Consensus Mechanisms - PoW, PoS, DPoS, PBFTLecture 12: Forks - Soft Forks vs. Hard ForksModule 4: Smart Contracts & Decentralized Applications (DApps)Lecture 13: What are Smart Contracts?Lecture 14: Introduction to Solidity and Smart Contract DevelopmentLecture 15: Gas Fees and Smart Contract Execution on EthereumLecture 16: Building and Deploying a Basic DAppModule 5: Blockchain Platforms & Use CasesLecture 17: Bitcoin Blockchain - Architecture, Mining, TransactionsLecture 18: Ethereum Blockchain - EVM, Smart Contracts, dAppsLecture 19: Hyperledger & Enterprise Blockchain SolutionsLecture 20: Other Notable Blockchains - Binance Smart Chain, Solana, AvalancheModule 6: Tokenization & CryptocurrenciesLecture 21: Understanding Cryptocurrencies - Bitcoin, Ethereum, AltcoinsLecture 22: Stablecoins and Central Bank Digital Currencies (CBDCs)Lecture 23: Token Standards - ERC-20, ERC-721, ERC-1155Lecture 24: Initial Coin Offerings (ICO) and TokenomicsModule 7: Blockchain in Business and IndustriesLecture 25: Blockchain in Supply Chain ManagementLecture 26: Blockchain for Financial Services - DeFi, Smart Contracts in BankingLecture 27: Blockchain in Healthcare & Identity ManagementLecture 28: NFTs, Gaming, and MetaverseModule 8: Challenges, Scalability & Future TrendsLecture 29: Blockchain Scalability - Layer 1 & Layer 2 SolutionsLecture 30: Governance Models in BlockchainLecture 31: Environmental Impact and Sustainable Blockchain SolutionsLecture 32: Future Trends - Web3, Quantum Computing & BlockchainModule 9: Hands-on Blockchain DevelopmentLecture 33: Setting Up a Local Blockchain (Ganache, Hardhat, Remix)Lecture 34: Writing and Deploying Smart Contracts in SolidityLecture 35: Interacting with Blockchain Using Web3.js and Ethers.jsLecture 36: Creating a Simple Decentralized Application (DApp)Module 10: Blockchain Security & ComplianceLecture 37: Security Vulnerabilities in Smart ContractsLecture 38: Blockchain Auditing and Compliance StandardsLecture 39: GDPR, KYC, AML, and Legal Aspects of BlockchainLecture 40: Best Practices for Secure Blockchain Development Who this course is for Developers & Engineers - Software developers, blockchain developers, smart contract developers, and full-stack engineers looking to build decentralized applications (DApps). IT & Security Professionals - Cybersecurity experts, network administrators, and system architects interested in blockchain security and cryptographic principles. Business & Finance Professionals - Entrepreneurs, financial analysts, investment bankers, and executives wanting to understand blockchain's impact on business models, banking, and DeFi (Decentralized Finance). Students & Academics - University students, researchers, and professors exploring blockchain technology for academic and career growth. Crypto Enthusiasts & Traders - Individuals investing in cryptocurrencies and looking to deepen their understanding of blockchain fundamentals, tokenomics, and market trends. Legal & Compliance Experts - Lawyers, policymakers, and regulatory professionals dealing with blockchain regulations, smart contract legality, and compliance frameworks. Government & Public Sector Officials - Policymakers and government officials interested in blockchain for governance, digital identity, and public sector applications. Supply Chain & Logistics Professionals - Operations managers, supply chain experts, and procurement specialists exploring blockchain's role in supply chain transparency and efficiency. Healthcare & Medical Professionals - Healthcare administrators, medical researchers, and pharmaceutical professionals interested in blockchain for data security, medical records, and drug traceability. Gaming & Metaverse Developers - Game designers, VR/AR developers, and NFT creators looking to leverage blockchain in gaming economies and virtual assets. Startups & Entrepreneurs - Founders and business leaders planning to launch blockchain-based startups, create ICOs, or integrate blockchain into their businesses. Banking & Insurance Professionals - Professionals in fintech, banking, and insurance looking to explore blockchain's role in payments, fraud detection, and decentralized finance. Data Science & AI Experts - Data analysts, AI engineers, and machine learning experts who want to understand blockchain's integration with AI and data storage solutions. Consultants & Advisors - Business consultants and IT advisors seeking to offer blockchain-related services to clients across industries. Media & Content Creators - Journalists, bloggers, YouTubers, and content creators covering blockchain trends, crypto news, and Web3 innovations. 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Free Download Linkedin - Migrating Applications, Workloads, and Servers to AWS Released 03/2025 With Brien Posey MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 28m 5s | Size: 192 MB Explore each phase of migrating apps, workloads, and servers to AWS-from identifying preparation Requirements to performing key post-migration cleanup tasks. Course details Understanding how to successfully carry out migration of existing workloads is a crucial skill for cloud admins. Amazon Web Services (AWS) offers Application Migration Service to help you quickly migrate thousands of workloads to the cloud. In this course for cloud solutions architects and SysOps professionals, instructor Brien Posey provides a thorough explanation of the necessary preparation Requirements for both Linux and Windows server migrations, including detailed coverage specific to both Windows and Linux VMs. Along the way, discover the essentials for completing the migration and performing post-migration cleanup, as well as how to roll the process back to abort a failed attempt. Homepage: https://www.linkedin.com/learning/migrating-applications-workloads-and-servers-to-aws DOWNLOAD NOW: Linkedin - Migrating Applications, Workloads, and Servers to AWS Fileaxa https://fileaxa.com/butg66o7ptbw/fmens.Migrating.Applications.Workloads.and.Servers.to.AWS.rar TakeFile https://takefile.link/5ppuwj42h40w/fmens.Migrating.Applications.Workloads.and.Servers.to.AWS.rar.html Rapidgator https://rg.to/file/3d64dc7a9a94e80784c628148d3ea1db/fmens.Migrating.Applications.Workloads.and.Servers.to.AWS.rar.html Fikper Free Download https://fikper.com/Ow8LLWMUIX/fmens.Migrating.Applications.Workloads.and.Servers.to.AWS.rar.html : No Password - Links are Interchangeable

Free Download Udemy - Vector Calculus with Applications Published: 2/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 14h 23m | Size: 4.57 GB Line Integrals, Surface Integrals, Integral Theorems with Applications What you'll learn Line integrals with applications, Path independence, important theorems Double integrals, Triple Integrals, Surface integrals Green's Theorem, Stokes Theorem, Divergence Theorem with Proofs and Applications 70+ solved examples, 50+ homework assessments, lecture pdfs and eBooks Derivation of Basic PDEs, including The Continuity Equation, Heat Equation, Wave Equation, Laplace Equation, etc. Requirements Precalculus, basic knowledge of computing derivatives and integrals is enough. A few lectures require the concept of continuity of a function. Otherwise the course is mostly self contained A little bit of MATLAB knowledge will be needed in a few lectures. Description Vector Calculus is one of the most important subject for advanced studies in applied mathematics, physics or engineering. The core of the subject contains the "Integral Theorems" as they have a wide range of applications to these disciplines. Keeping in view the course outlines of most of the (local) institutes and universities, the following topics are included in this course:Line Integrals (of both scalar and vector fields) Work done as a Line integralPath Independent Line integralsConservative FieldsSimply Connected and Multiply Connected Domains (with Animations for illustration)Theorems (with proofs) on Path independence of Line Integrals and Conservative Fields (five theorems)Applications of Line integrals (Calculating the area of fence whose base is a curve C in space, calculating the Mass, the Center of Mass, and Moment of inertia of a wire)The Double Integrals with applications (calculating mass, c.o.m, moment of inertia of a lamina)Parametric Representation of SurfacesSurface area (with alternative formulas)Tangent Plane and Normal to a Surface Surface Integrals (of vector and scalar fields)Integral Theorems (Green's Theorem, Stokes's Theorem, Gauss's (Divergence) Theorem)Applications of Integral Theorems Derivation of Heat equation, Wave Equation, Laplace Equation, Continuity Equation etc. More than 70 worked examples are included to illustrate these topics. Most of the topics are illustrated with Slides and Animations (where needed), and a few examples are worked on digital white board (One Note) using Tablet.PDFs of lectures are also attached with the video lectures, Student Practice Material is also included with necessary hints. Most of the lectures are in the form of slides so that the learners time is marginally saved as compared to the white board lectures. More examples will be included (some examples can be included on demand of the learners).Hopes the students may learn and enjoy from this course.There may be mistakes and I will be extremely thankful to those who point out mistakes in any lecture (Check out the Description of each video for corrections). Suggestions are always welcomed because we always need improvements. Who this course is for This course is for Undergraduate students of Mathematics, Physics, Computer, Engineering etc. Graduate Students and Instructors may also profit from this course Homepage: https://www.udemy.com/course/vector-calculus-with-applications/ DOWNLOAD NOW: Udemy - Vector Calculus with Applications Rapidgator https://rg.to/file/440ecf581cc60d4b8886af70a01e72d3/getam.Vector.Calculus.with.Applications.part1.rar.html https://rg.to/file/a1fb8689bfc9f116fefec05b3571c5d7/getam.Vector.Calculus.with.Applications.part2.rar.html https://rg.to/file/24a40781ae8dda48cf002e8b37e15253/getam.Vector.Calculus.with.Applications.part3.rar.html https://rg.to/file/7133fca60477a7367ffa3ac92deba7f7/getam.Vector.Calculus.with.Applications.part4.rar.html https://rg.to/file/45605436c7644e7c7dd968e776a4961c/getam.Vector.Calculus.with.Applications.part5.rar.html Fikper Free Download https://fikper.com/eAY5K7rf3i/getam.Vector.Calculus.with.Applications.part1.rar.html https://fikper.com/YCK4NqFeAN/getam.Vector.Calculus.with.Applications.part2.rar.html https://fikper.com/zm5W7alW3m/getam.Vector.Calculus.with.Applications.part3.rar.html https://fikper.com/uXrmLcCrPN/getam.Vector.Calculus.with.Applications.part4.rar.html https://fikper.com/4T1dtaqC4I/getam.Vector.Calculus.with.Applications.part5.rar.html : No Password - Links are Interchangeable

Free Download AI-powered React Applications - Building Intelligent Interfaces Released 2/2025 By Peter Kellner MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 11m | Size: 213 MB This course teaches you how to incorporate AI into your React apps to make them more compelling to your users. Incorporating AI can help enhance the user experience of React applications. In this course, AI-powered React Applications: Building Intelligent Interfaces, you'll learn how to incorporate AI from the top vendors in the industry into your React apps using best practices. First, you'll explore enhancing a chatbot built with React to convert currency between countries using a proprietary API. Then, you'll discover how to create a React app that takes products combined with different holidays to create compelling images. Finally, you'll learn how to enhance a customer service email inbox to summarize emails and analyze them so they can be handled properly. At the end of the course, you'll know how to enhance your own React apps with AI. Homepage: https://www.pluralsight.com/courses/ai-powered-react-applications-building-intelligent-interfaces Rapidgator https://rg.to/file/d40d4d435bd4c95c34e18bfccfc3b221/eayxn.AIpowered.React.Applications..Building.Intelligent.Interfaces.rar.html Fikper Free Download https://fikper.com/COpDRpDSni/eayxn.AIpowered.React.Applications..Building.Intelligent.Interfaces.rar.html : No Password - Links are Interchangeable

Free Download Fundamentals of Analog Communication - Theory & Applications Published: 2/2025 Created by: Nation Innovation MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 12 Lectures ( 1h 49m ) | Size: 452 MB Master the basics of analog communication systems What you'll learn Understanding basic concepts of analog communications Analysis of Noise in Communication Systems Understanding Modulation Techniques Signal Processing in Analog Communication Requirements Here are the recommended Requirements or prerequisites: Basic Mathematics: Understanding of algebra, trigonometry, and logarithms. Basic knowledge of calculus (differentiation and integration) is helpful but not mandatory. Fundamentals of Electrical & Electronics Engineering: Basic circuit theory (Ohm's Law, Kirchhoff's Laws). Understanding of passive components (resistors, capacitors, inductors). Basic Signal and Systems Knowledge: Concept of signals (sinusoids, exponential, step functions). Basics of time and frequency domain analysis. Interest in Telecommunications & Signal Processing: No prior knowledge of communication systems is required, but a willingness to learn about modulation and transmission techniques is beneficial. Description This course provides a comprehensive introduction to analog communication systems, focusing on both theoretical foundations and practical applications. You will gain an in-depth understanding of how information is transmitted using analog signals and explore key concepts such as signal generation, modulation, transmission, reception, and system performance.A major focus of this course is on analog modulation techniques, including Amplitude Modulation (AM), Frequency Modulation (FM), and Phase Modulation (PM). You will study their principles, advantages, limitations, and real-world applications. Additionally, you will analyze demodulation techniques, signal-to-noise ratio, bandwidth efficiency, and modulation index to evaluate system performance.The course will also cover the impact of noise on analog communication systems, helping you understand how noise affects signal quality and how to mitigate its effects. You will explore multiplexing, filtering, and power efficiency to optimize analog communication systems for different use cases.Through theoretical insights and practical problem-solving, you will develop the ability to analyze, design, and optimize analog communication systems to meet specific Requirements. Whether you are a student, engineer, or technology enthusiast, this course equips you with essential knowledge to advance in the field of telecommunications.By the end of this course, you will have the skills to apply analog communication principles to real-world challenges, making you better prepared for academic research, industry applications, or further studies in digital and wireless communication. Who this course is for This course is ideal for: Engineering Students (ECE, EEE, Telecommunications) looking to build a strong foundation in analog communication. Physics & Applied Science Students interested in signal transmission and modulation. Telecom & RF Engineers working in broadcasting, wireless communication, or aerospace industries. Electronics & Embedded Systems Professionals involved in radio, signal processing, or communication circuits. Hobbyists & Enthusiasts curious about AM/FM radios, RF communication, and signal processing. It's beginner-friendly yet valuable for professionals refreshing their knowledge. Homepage: https://www.udemy.com/course/fundamentals-of-analog-communication-theory-applications/ Rapidgator https://rg.to/file/6e5e2cb75d62fcb21c4c8e3a4da380c6/cxmic.Fundamentals.of.Analog.Communication.Theory..Applications.rar.html Fikper Free Download https://fikper.com/mSFKBhkvCo/cxmic.Fundamentals.of.Analog.Communication.Theory..Applications.rar.html : No Password - Links are Interchangeable

Free Download Mastering Shadow Accounting Insights And Applications Last updated 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 663.10 MB | Duration: 3h 38m Unlock the secrets of shadow accounting to enhance your investment strategies and operational efficiency What you'll learn Fundamental Concepts: Understand the core principles of shadow accounting, including its definition and significance in the financial sector. Shadow Accounting Platforms: Gain insight into various platforms and technologies used for implementing shadow accounting in investment management. Applications in Finance: Explore the practical applications of shadow accounting, particularly in hedge funds and mutual funds. Advantages and Disadvantages: Analyze the pros and cons of shadow accounting to develop a balanced perspective on its effectiveness and challenges. Benefits for Investment Firms: Learn about the benefits of shadow accounting, such as improved operational efficiency, risk management, and decision-making. Roles of Managers: Discover the roles of hedge fund managers in utilizing shadow accounting to optimize performance and manage investor relations. NAV Activities: Understand key activities related to Net Asset Value (NAV), including NAV reconciliation and the evolution of shadow accounting practices. Systematic Approaches: Explore the systematic elements supporting shadow accounting, including its application in various sectors like insurance. Real-World Examples: Analyze real-world case studies and examples, including shadow accounting practices in the Cayman Islands, to see its application. Assessment of Knowledge: Reinforce learning through quizzes and assessments to evaluate understanding and application of shadow accounting concepts. Requirements Basic Understanding of Finance: Students should have a foundational knowledge of financial concepts, including investment vehicles, financial statements, and accounting principles. Familiarity with Accounting Terminology: A working knowledge of basic accounting terms and practices will be beneficial for comprehending course content more effectively. Educational Background: Ideally, students should have completed a degree or coursework in finance, accounting, business administration, or a related field. Analytical Skills: Strong analytical and critical thinking skills are necessary for assessing the applications and implications of shadow accounting in various financial contexts. Description In today's complex financial landscape, shadow accounting has emerged as a vital tool for investment firms, hedge funds, and asset managers. This course offers a comprehensive exploration of shadow accounting, providing learners with the essential knowledge and skills needed to navigate this crucial aspect of modern finance. From understanding the core concepts to applying shadow accounting in real-world scenarios, parti[beeep]nts will gain valuable insights into its applications, benefits, and challenges. Whether you're a finance professional, an aspiring investor, or simply interested in expanding your financial literacy, this course is designed to equip you with the expertise to excel in shadow accounting.Section 1: IntroductionThe course begins with an Introduction to Shadow Accounting, where students will gain a foundational understanding of what shadow accounting is and its significance in the financial sector. This introductory section sets the stage for deeper exploration by outlining the goals and objectives of the course, emphasizing the importance of effective accounting practices in investment management.Section 2: Getting StartedIn the Getting Started section, parti[beeep]nts will review the Agenda, clarify the Meaning of shadow accounting, and explore various Shadow Accounting Platforms available today. This foundational knowledge is crucial as students begin to understand how shadow accounting operates within different financial frameworks and the technologies that support its implementation.Section 3: Application of Shadow AccountingThe Application of Shadow Accounting section dives into how shadow accounting is utilized in various financial contexts. Students will learn about its applications, particularly in the relationship between Hedge Funds and Mutual Funds. This section highlights practical use cases and showcases how shadow accounting enhances transparency and accountability in financial reporting.Section 4: Pros and ConsIn this section, students will analyze the Pros and Cons of shadow accounting. By examining both the advantages and disadvantages, parti[beeep]nts will develop a balanced perspective on the effectiveness of shadow accounting practices. This critical analysis encourages learners to weigh the benefits against potential pitfalls in their financial decision-making.Section 5: BenefitsThe course then explores the Benefits of Shadow Accounting, with multiple lectures dedicated to detailing its various advantages. Students will learn how shadow accounting can improve operational efficiency, enhance risk management, and facilitate better decision-making. Additionally, this section will cover Shadow Accounting Related Services, providing insights into supplementary services that complement shadow accounting practices.Section 6: ManagersIn the Managers section, the course will focus on the role of Hedge Fund Managers in the shadow accounting framework. This segment will highlight how these managers utilize shadow accounting to optimize performance and manage investor expectations, offering students an in-depth look at the responsibilities and strategies of hedge fund professionals.Section 7: NAV ActivitiesThe NAV Activities section covers critical aspects of shadow accounting related to Net Asset Value (NAV). Students will learn about Shadow NAV Activities, NAV Reconciliation, and the Evolution of Shadow Accounting. Furthermore, this section will delve into the specific context of shadow accounting in the Cayman Islands, discussing the necessity and scope of hedge fund shadow NAV and the role of fund administrators.Section 8: SystemIn the System section, parti[beeep]nts will explore the Shadow Accounting System and its application in various sectors, including Insurance Companies. This segment emphasizes the technological and systemic elements that support shadow accounting practices, highlighting the importance of robust systems in maintaining accurate financial records.Section 9: QuizFinally, the course concludes with a Quiz designed to reinforce the concepts learned throughout the course. This interactive element not only assesses students' understanding but also encourages them to reflect on their learning journey and consolidate their knowledge of shadow accounting.Conclusion:In conclusion, this course provides a thorough understanding of shadow accounting, equipping parti[beeep]nts with the skills necessary to navigate this essential area of finance. By examining its applications, benefits, and challenges, students will leave with a well-rounded perspective on how shadow accounting can enhance their investment strategies and operational practices. Whether in hedge funds, mutual funds, or other financial institutions, the knowledge gained from this course will empower learners to make informed decisions and drive success in their financial careers. Overview Section 1: Introduction Lecture 1 Introduction to Shadow Accounting Section 2: Getting Started Lecture 2 Agenda Lecture 3 Meaning Lecture 4 Shadow Accounting Platform Section 3: Application of Shadow Accounting Lecture 5 Application of Shadow Accounting Lecture 6 Hedge Fund-Mutual Fund Section 4: Pros and Cons Lecture 7 Pros and Cons Lecture 8 Pros and Cons Continue Section 5: Benefits Lecture 9 Benefits of Shadow Accounting Lecture 10 Benefits of Shadow Accounting Continue Lecture 11 More on Benefits of Shadow Accounting Lecture 12 Shadow Accounting Related Services Section 6: Managers Lecture 13 Hedge Fund Managers Lecture 14 Hedge Fund Managers Continue Section 7: NAV Activities Lecture 15 Shadow NAV Activities Lecture 16 Nav Reconciliation Lecture 17 The Evolution of Shadow Accounting Lecture 18 Shadow Investor Service Provide in Cayman Islands Lecture 19 Do We Need Hedge Fund Shadow NAV Lecture 20 Scope of the Shadow NAV Lecture 21 Fund Administrator Lecture 22 Current Trend Section 8: System Lecture 23 Shadow Accounting System Lecture 24 Insurance Companies Section 9: Quiz Lecture 25 Quiz Finance and Accounting Professionals: Individuals working in finance, accounting, or auditing roles who want to deepen their understanding of shadow accounting practices and their applications in the industry.,Investment Managers and Analysts: Those involved in hedge funds, mutual funds, or other investment vehicles who seek to improve their knowledge of NAV (Net Asset Value) calculations and reconciliation processes.,Compliance and Risk Management Professionals: Individuals responsible for regulatory compliance and risk assessment within financial institutions who need to understand shadow accounting's role in maintaining accurate financial records.,Students and Recent Graduates: Learners pursuing degrees in finance, accounting, or business who are interested in enhancing their knowledge of advanced accounting practices and investment management.,Financial Advisors and Consultants: Professionals providing financial advice or consultancy services who want to broaden their expertise in shadow accounting and its implications for investment strategies. 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pdf | 18.82 MB | English| Isbn:9781040296967 | Author: Vijay Kumar Sood (Editor), Krishna Murari (Editor), Om Hari Gupta (Editor), Anupam Kumar (Editor) | Year: 2024 Description: https://fileaxa.com/wx73orqo0xuf https://ddownload.com/3y1uqgpjqsl7 https://rapidgator.net/file/0aef2fe79de2dbdd8810052bb211bad4/ https://turbobit.net/kyn3abu1mgzl.html

Free Download The Complete Guide To Build On-Device Ai Applications Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 661.93 MB | Duration: 0h 59m You will learn how to build on-Device AI Applications with JavaScript and deploy AI Applications to various devices! What you'll learnLearn how to build on-Device AI application Learn to use other frontend technologies such as JavaScript and HTML in AI Applications Learn how to build and deploy the application into various devices Learn to build build sophisticated on-Device AI applications RequirementsYou must have basics knowledge of CSS and HTML DescriptionYou are going to learn how to Build on-Device AI Applications with AI. On-device AI applications represent a significant evolution in the way artificial intelligence is deployed and utilized, allowing for real-time data processing and decision-making directly on a user's device, without relying on cloud services. This advancement leverages the increasing computational power of smartphones, tablets, and other edge devices, creating a powerful blend of speed, privacy, and functionality that benefits both users and developers.On-device AI applications are not dependent on an internet connection, making them ideal for users in remote locations or areas with poor connectivity. This capability expands the reach of AI-powered services, ensuring they remain functional and accessible regardless of network conditions. For instance, a language translation app using on-device AI can still work while a user is traveling abroad without internet access. n-device AI offers faster processing times due to reduced latency. By eliminating the need for constant communication with cloud servers, applications can deliver instantaneous responses. This is crucial for time-sensitive tasks like augmented reality, language translation, and real-time video processing. Users experience smoother interactions, which improves overall application usability and engagement. on-device AI is transforming the landscape of mobile applications, offering enhanced privacy, real-time performance, and offline functionality. However, it also presents new challenges in terms of optimization and energy management, pushing developers to innovate further to harness its full potential. OverviewSection 1: AI Powered components for building an application Lecture 1 Introduction Lecture 2 AI Powered components for building an application Lecture 3 Using the Reactjs in AI On-device Application Lecture 4 Creating an E-Commerce Website with AI Lecture 5 Using various technologies in AI Applications Lecture 6 Fieldforms in AI Lecture 7 Building an E commerce Webportal with AI Data scientists and AI Developers Homepage https://www.udemy.com/course/the-complete-guide-to-build-on-device-ai-applications/ Rapidgator https://rg.to/file/7fe6c724a93210aa924298a51c7f1f90/atpar.The.Complete.Guide.To.Build.OnDevice.Ai.Applications.rar.html Fikper Free Download https://fikper.com/LYo3oz892F/atpar.The.Complete.Guide.To.Build.OnDevice.Ai.Applications.rar.html No Password - Links are Interchangeable

Free Download The Complete Course To Build On-Device Ai Applications Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 811.42 MB | Duration: 0h 53m Master how to build on-Device AI Applications and deploy AI Applications into various devices! What you'll learn Be able to build on-Device AI Applications Learn how to build and deploy the application into various devices have the knowledge to build responsive and energy-efficient applications. Build some applications with AI Requirements You must have basics knowledge of CSS and HTML Description You will learn how to Build on-Device AI Applications in this course. On-device AI applications are rapidly transforming how artificial intelligence is deployed, offering powerful advantages in terms of performance, privacy, and energy efficiency. Unlike cloud-based AI, which relies on sending data to external servers for processing, on-device AI performs computations locally on a user's device, such as a smartphone, smartwatch, or IoT sensor. This shift in paradigm is reshaping industries by enabling faster decision-making, improving security, and reducing latency in real-time applications.one of the benefits of on-device AI is reduced latency. By eliminating the need to send data back and forth to a remote server, AI models can process information instantly. This is critical for applications requiring real-time responses, such as autonomous driving, augmented reality (AR), and virtual assistants. For instance, a self-driving car must detect and react to objects in its environment in milliseconds, something that cloud computing alone cannot guarantee due to potential delays in communication. On-device AI also enhances user privacy. By keeping sensitive data on the device, the risk of exposure during transmission to external servers is minimized. on-device AI is unlocking new opportunities across various industries, enabling more responsive, private, and energy-efficient applications. As hardware and software innovations continue to evolve, the potential for on-device AI will only grow, offering even more sophisticated and ubiquitous intelligent experiences. Overview Section 1: Introduction Lecture 1 Build on-Device AI Applications Introduction Lecture 2 Build AI Applications Overview Lecture 3 building ToDo Application with AI Lecture 4 Creating an E-Commerce Website with AI Lecture 5 AI components with API Lecture 6 AI Powered componets Lecture 7 Building an E commerce Webportal with AI Data scientists and AI Developers Homepage https://www.udemy.com/course/the-complete-course-to-build-on-device-ai-applications/ Rapidgator https://rg.to/file/44037457748271442c4952ed501b31a3/voekj.The.Complete.Course.To.Build.OnDevice.Ai.Applications.rar.html Fikper Free Download https://fikper.com/68WmKikmGc/voekj.The.Complete.Course.To.Build.OnDevice.Ai.Applications.rar.html No Password - Links are Interchangeable