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Free Download Udemy - API Essentials by Michal Futera Published 5/2025 Created by Michal Futera MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 18 Lectures ( 1h 40m ) | Size: 614 MB A Beginner's Guide to Connecting the Digital World What you'll learn Understand the fundamentals of APIs - Learn what an API is, why it is important, and how it facilitates communication between different software applications. Explore different types of APIs - Gain knowledge about REST API, GraphQL, Web APIs, RSS feeds, and other types of APIs used in modern applications. Work with API data formats - Learn how APIs exchange data using formats like JSON and XML, and how to interpret and use API responses. Discover real-world applications of APIs - Understand how APIs are used in business, automation, and integration, and explore their role in various industries. Requirements No prior programming knowledge required - This course is designed for beginners who want to understand APIs without deep coding experience. Basic computer literacy - Participants should be comfortable using a computer and navigating the internet. Curiosity about technology and automation - A willingness to learn about how different applications communicate and integrate using APIs. Access to an internet-connected device - A computer, tablet, or smartphone with internet access to explore API documentation and examples. Description API Essentials: A Beginner's Guide to Connecting the Digital WorldAPIs (Application Programming Interfaces) are the invisible threads that connect the digital world. They power everything from mobile apps and websites to complex enterprise systems. But what exactly is an API, and how can you use it to unlock endless possibilities? This course is designed for beginners who want to understand APIs without needing prior programming knowledge.In this course, we'll break down the concept of APIs into simple, digestible parts. You'll learn what APIs are, why they are so important in today's interconnected digital landscape, and how to work with them effectively. We'll cover essential topics such as Web APIs, REST APIs, system-level APIs, and browser-based APIs. You'll also get an introduction to key formats like JSON, RSS feeds, and GraphQL, which are critical for interacting with modern APIs.We'll demystify concepts like Webhooks, which allow systems to communicate in real-time, and explore practical use cases, such as automating tasks, retrieving data from online services, and integrating applications. With hands-on examples and beginner-friendly explanations, you'll gain the confidence to interact with APIs, whether for professional projects or personal curiosity.By the end of this course, you'll have a solid foundation in APIs, enabling you to connect applications, harness data, and bring your digital ideas to life. Start your API journey today! Who this course is for Beginners curious about APIs - Anyone who wants to understand what APIs are and how they work without needing advanced programming skills. Entrepreneurs and business owners - Individuals looking to integrate APIs into their business workflows, automation, or digital products. Content creators and marketers - Those who want to leverage APIs for data extraction, automation, and social media integration. Aspiring developers and tech enthusiasts - People interested in learning the basics of API usage before diving deeper into software development. Homepage https://www.udemy.com/course/api-essentials/ AusFile https://ausfile.com/mq8vl6j7hrh8/xkpnz.API.Essentials.rar.html Rapidgator Links Download https://rg.to/file/e93c9bf5e1dcd174bf30c055b45d9195/xkpnz.API.Essentials.rar.html Fikper Links Download https://fikper.com/1gFrv2LZqw/xkpnz.API.Essentials.rar.html No Password - Links are Interchangeable

Free Download Udemy - AI-Powered Tutorial Creation Make Videos with Trupeer Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 7m | Size: 841 MB Transform your ideas into powerful educational content using Trupeer AI - No video editing experience needed! What you'll learn Navigate and use Trupeer AI for AI-driven video creation Identify the traits of effective video tutorials Plan and structure your content for different audience types Use avatars, branding, and visual editing to enhance video appeal Create different types of educational videos: step-by-step, walkthroughs, and FAQ Requirements No prior experience with AI tools is required Description Want to create better video tutorials - without spending hours figuring it all out?This practical course teaches you how to plan, record, and deliver high-quality tutorials using Trupeer, a modern platform that streamlines content creation and helps you produce professional videos with ease.Designed for educators, trainers, and content creators, the course walks you through everything from choosing the right recording tools to structuring your videos, keeping viewers engaged, and avoiding common mistakes. Whether you're teaching online, creating internal training, or building educational content for your audience, you'll learn how to create tutorials that actually work.What You'll Learn:What makes a video tutorial effective (and what to avoid)Key features of Trupeer and how to navigate the platformHow to plan for your audience and tailor your contentTechniques to boost engagement and viewer retentionCreating your first tutorial using Trupeer's auto-documentationStructuring your videos for clarity and flowBranding, editing, and adding AI avatars to your contentUnderstanding when to use different types of videos for different goalsUse cases and real-world applications of tutorial contentCommon mistakes - and how to avoid themWhy Take This Course?You don't need to be a video expert to make great tutorials. With the right tools - like Trupeer - and a solid strategy, anyone can create polished, effective educational videos. This course gives you a step-by-step system to make content that's not only helpful but also easy to produce and enjoyable to watch.By the end of the course, you'll be able to:Confidently create and publish tutorials on TrupeerUse modern tools to streamline your content creation workflowStructure your videos to suit different audiences and goalsAdd branding, visuals, and avatars to improve quality and engagementBuild a tutorial library that showcases your knowledge and builds trustHow long is the course?You can complete this course in approximately 1 hour - compact, actionable, and easy to follow.Will I receive a certificate?Yes! Upon completion, you'll receive a Udemy certificate to showcase your skills and enhance your resume or portfolio.Is there any risk?Not at all. The course includes a 30-day money-back guarantee, so you can enroll with confidence.Start creating better tutorials, faster, with the help of Trupeer and a clear framework for success.Enroll today and make your next tutorial your best one yet. Who this course is for Educators, trainers, and online course creators YouTubers and content creators Corporate and freelance instructional designers Entrepreneurs building educational products Anyone who wants to create videos without being on camera Homepage https://www.udemy.com/course/ai-powered-tutorial-creation-make-videos-with-trupeer/ Rapidgator Links Download https://rg.to/file/e1fa3a04caee23bb0fa295fb8f2f79c9/axpve.AIPowered.Tutorial.Creation.Make.Videos.with.Trupeer.rar.html Fikper Links Download https://fikper.com/0GcHAFA2BC/axpve.AIPowered.Tutorial.Creation.Make.Videos.with.Trupeer.rar.html No Password - Links are Interchangeable

Free Download Udemy - AI-Powered Stock Trading Build Strategies with Zero Coding Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 10m | Size: 270 MB Master Automated Trading Systems and Create Profitable Strategies Without Writing a Single Line of Code What you'll learn Understand how AI enhances trading by removing emotional bias and automating decision-making. Learn the key concepts of stock trading, including market participants, technical indicators, and price influences. Create your first AI-powered trading strategy without any coding using no-code platforms. Learn how to backtest trading strategies using historical data and simulate trades with paper trading. Optimize and track your trading strategies to ensure they remain profitable in live markets. Discover how to scale your trading system and automate processes for long-term success and passive income. Requirements Students will leave with practical, hands-on skills to build, optimize, and scale their own AI-powered trading systems-no coding required! Description Welcome to AI-Powered Stock Trading: Build Strategies with Zero Coding-the course designed to take you from a beginner to a confident trader, using the power of artificial intelligence to create and optimize stock trading strategies. Whether you're new to trading or looking to level up your existing skills, this course provides you with a simple yet powerful way to harness AI in the stock market, all without needing to write a single line of code.In today's fast-paced financial markets, the advantage of using AI in trading cannot be overstated. Traditional trading methods often require time, expertise, and the ability to analyze vast amounts of data to make informed decisions. However, with AI-powered trading, you can automate the entire process-analyzing data, making decisions, and executing trades-at lightning speed and with unparalleled accuracy. The best part? You don't need to be a computer scientist to take advantage of this technology.This course is built with the no-code approach in mind, allowing anyone, regardless of their technical background, to design and implement their own AI-driven trading strategies. Using intuitive, user-friendly platforms, we'll guide you step-by-step on how to create strategies that can trade automatically on your behalf, 24/7. From understanding the fundamentals of stock trading to deploying your first AI-powered trading bot, you will gain practical skills and tools that you can apply immediately.What You Will Learn:Introduction to AI in Stock TradingYou'll begin by learning the basics of AI and how it can be applied in the stock market. We'll explore how AI removes emotional bias from decision-making, and how it can execute trades faster and more efficiently than human traders. We'll also introduce you to the concept of no-code platforms, which allow you to build AI models without needing to know programming.Understanding Stock Market BasicsBefore diving into AI strategies, we will cover essential stock market concepts that every trader needs to know. From understanding market participants and basic trading concepts to learning how technical indicators (like RSI, Moving Averages, and MACD) are used to make informed trading decisions, this module provides the foundation for everything that comes next.Building Your First AI Trading StrategyOnce you understand the market, we will guide you through building your first AI-powered trading strategy using no-code platforms. You'll learn how to define trading rules based on common indicators and set up a fully automated trading strategy that can execute trades without human intervention. The focus will be on simplicity-creating your first bot doesn't require complex coding, only a clear strategy and the right platform.Backtesting and Paper TradingBacktesting is an essential step in creating a profitable trading strategy. In this module, you will learn how to test your trading strategy against historical data to evaluate its potential effectiveness. You'll also discover the value of paper trading, which allows you to test your strategy in real market conditions without risking any capital. We'll discuss how to interpret backtest results and make adjustments to improve performance.Optimizing and Monitoring Your AI StrategyWith a backtested and paper-traded strategy in place, it's time to optimize it for the real world. This module focuses on refining your strategy, tweaking entry and exit points, adjusting risk parameters, and maximizing your profitability. We'll teach you how to monitor performance over time, how to recognize signs of overfitting, and how to make data-driven adjustments to keep your strategy effective.Scaling and Automating for Long-Term SuccessFinally, we will explore how to scale your AI-powered trading system to handle larger capital, multiple strategies, and a variety of asset classes. You'll learn how to set up automation tools to handle routine tasks, from performance reporting to risk management, ensuring that your system runs smoothly while you focus on refining your strategies. The goal is to move from manual, time-consuming trading to a fully automated, hands-off income stream.Why This Course is Unique:This course is designed for anyone, regardless of prior experience in trading or AI. We have broken down complex topics into easily digestible lessons, using visual aids and real-world examples to make the learning process simple and engaging. You don't need to be an expert in programming or financial markets to take full advantage of the tools and techniques taught here.In addition, we focus on practical implementation-you won't just learn the theory; you'll create and deploy real AI-powered trading strategies that you can use in your own portfolio. You will also have access to tools and platforms that allow you to start trading with no upfront investment. This is especially helpful for those who are just getting started and want to practice risk-free before committing any capital.Who Is This Course For?Beginners in Stock Trading: If you are new to trading and want to learn how to use AI to make smarter, more informed decisions, this course is for you. We break down the stock market in simple terms, starting from scratch and building up to advanced AI strategies.Entrepreneurs and Investors: If you're looking to automate your trading and create passive income streams, this course will show you how to set up AI-powered systems that trade for you.Tech Enthusiasts: If you're interested in AI but don't have programming experience, this course will introduce you to powerful, no-code AI tools that you can use to build your own trading strategies.Financial Professionals: If you're a trader or financial professional, this course will teach you how to incorporate AI into your trading strategy to improve your decision-making and increase profitability.Why Choose This Course?AI-powered trading is the future of investing, and this course provides you with a clear, actionable path to start using AI right away. We provide you with the tools, knowledge, and support you need to build and optimize your trading strategies without the need for coding. Whether you're looking to automate a few trades or scale up to a full AI-driven trading system, you'll have the skills and confidence to succeed.By the end of this course, you will be equipped with the knowledge to:Build AI-powered trading strategies from scratch.Test and optimize your strategies using real-world data.Scale your trading operations to create long-term, automated income.No coding. No hassle. Just smart, automated stock trading with AI.Join us today and start mastering AI-powered stock trading! Who this course is for Beginners in Stock Trading: Anyone who wants to understand the stock market and learn how to use AI tools to automate their trading without coding. Entrepreneurs and Investors: Individuals seeking to create passive income streams by automating their trading strategies with AI technology. Tech Enthusiasts: Those interested in leveraging no-code platforms to dive into AI and machine learning for financial markets. 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Free Download Udemy - AI-Powered Facial Emotion Detection with Python & CV Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 53m | Size: 892 MB Facial Emotion Detection and Recognition System with Python & Computer Vision What you'll learn Understand Facial Emotion Detection basics, its role in human-computer interaction, mental health analysis, and improving customer experience. Set up Python with OpenCV for image processing and deep learning frameworks for real-time facial emotion recognition. Explore the YOLOv9 model, optimized for fast and accurate facial emotion detection, and its application in real-time video processing and analysis. Utilize a custom-trained model to classify emotions such as happiness, sadness, anger, surprise, fear, and disgust, enabling automated emotional analysis. Learn preprocessing techniques to prepare video frames and images for YOLOv9, ensuring optimal detection in different lighting and facial orientations. Implement real-time visualization of detected emotions by annotating video frames with emotion labels, confidence scores, and facial landmarks. Tackle challenges such as variability in facial expressions, occlusions, lighting conditions, and diverse facial features across different demographics. Develop a real-time emotion monitoring system with live-stream integration and notifications for detected emotions via mobile apps. Optimize model deployment and inference processes using cloud-based or edge-computing solutions to ensure efficient, low-latency real-time analysis. Apply the Facial Emotion Detection system in customer service, mental health monitoring, security, and AI-driven human-computer interactions. Requirements Basic understanding of Python programming (helpful but not mandatory). A laptop or desktop computer with internet access (Windows OS with a minimum of 4GB of RAM). No prior knowledge of AI or Machine Learning is required-this course is beginner-friendly. Enthusiasm to learn and build practical projects using AI and computer vision tools, especially for facial emotion detection. Basic knowledge of image processing (helpful but not mandatory). Familiarity with Jupyter Notebooks or Google Colab for executing Python code (optional but beneficial). Description Welcome to the AI-Powered Facial Emotion Detection System with YOLOv9! In this practical, hands-on course, you'll learn how to build a real-time facial emotion detection system using the powerful YOLOv9 model. This course focuses on detecting emotions from facial expressions using advanced computer vision and machine learning techniques. By the end of the course, you'll have developed a complete system that provides real-time facial emotion detection, accessible through live video feeds or image processing.• Set up your Python development environment and install essential libraries like OpenCV, YOLOv9, and other supporting tools for building your emotion detection system.• Use the YOLOv9 model to detect faces and analyze facial expressions, identifying emotions such as happiness, sadness, anger and surprise.• Preprocess images and video streams to ensure optimal detection and performance, adapting to variations in lighting, angles, and facial features.• Implement real-time emotion recognition, providing immediate feedback from facial expressions in live video streams.• Design and build a system that integrates real-time emotion detection, enhancing human-computer interaction, user experience, and mental health monitoring.• Optimize the system for real-time performance, ensuring fast and efficient processing of live video or image streams for high accuracy.Throughout the course, you'll tackle challenges such as variability in facial expressions, lighting conditions, and occlusions while exploring techniques to improve accuracy and efficiency. 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Free Download Udemy - AI Driver Distraction & Drowsiness Detection with Python&CV Published 5/2025 Created by Muhammad Yaqoob G MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 22 Lectures ( 1h 17m ) | Size: 1.12 GB Driver Distraction and Drowsiness Detection System using Python, AI, and Computer Vision What you'll learn Understand the importance of driver drowsiness detection and the impact of distractions on road safety, and how AI-powered systems help mitigate these risks. Set up a Python development environment and install libraries like OpenCV and MediaPipe for computer vision and distraction detection tasks. Capture real-time video from a webcam and explore the State Farm Driver Distraction dataset to analyze and classify unsafe driver behaviors. Extract facial landmarks such as eyes and mouth, and apply ResNet50 to classify ten types of driver distractions with high precision and accuracy. 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A laptop or desktop computer with internet access[Windows OS with Minimum 4GB of RAM).No prior knowledge of AI or Machine Learning is required-this course is beginner-friendlyEnthusiasm to learn and build practical projects using AI and IoT tools.[b]Description[/b] AI-Powered Driver Monitoring System: Distraction and Drowsiness Detection using Python & Computer Vision Welcome to this all-in-one, hands-on course where you'll learn to develop an intelligent AI-powered system capable of detecting driver distractions and drowsiness in real-time using Python, Computer Vision, and Deep Learning.This course combines the power of ResNet50 for distraction detection and facial landmark-based algorithms for drowsiness detection, offering a complete solution for road safety and driver monitoring.What You'll Learn:Distraction Detection Module:Use the State Farm Driver Distraction dataset to train a model that identifies 10 different distraction activities such as texting, eating, adjusting the radio, or talking to passengers.Train a ResNet50 deep learning model using TensorFlow/Keras.Apply data preprocessing, augmentation, transfer learning, and hyperparameter tuning to improve model accuracy.Build a real-time distraction detection system using OpenCV and integrate it with a Tkinter-based GUI and web interface.Deploy your model for use in real-world scenarios like fleet management and AI safety systems.Drowsiness Detection Module:Capture and process real-time video feeds using Python and OpenCV.Extract facial landmarks using MediaPipe to analyze eye and mouth movements.Calculate Eye Aspect Ratio (EAR) and Mouth Aspect Ratio (MAR) to detect signs of fatigue, yawning, and drowsiness.Implement logic to trigger real-time alerts and visual warnings when drowsiness is detected.Create a Tkinter-based UI to display status and metrics in real-time.By the end of this course, you will:Build a dual-function Driver Monitoring System that detects both distractions and drowsiness.Gain practical, hands-on experience in AI, computer vision, deep learning, and GUI development.Be equipped to deploy your project in real-world applications across transportation, logistics, and safety systems.Whether you're a beginner or an intermediate Python developer, this course is designed to provide valuable, real-world experience in building AI-powered safety solutions. 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Free Download Udemy - AI Assisted Course Creation Step-By-Step With ChatGPT Last updated 3/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.16 GB | Duration: 3h 0m From AI Novice to Pro User of AI in Online Course Creation What you'll learn By the end of this course, you'll have an AI-generated course with all the content, syllabus, assessments and marketing strategy that's launch ready. By Lecture 2, use ChatGPT to meticulously define your course's target audience, topic, and unique selling proposition. Integrate ChatGPT for course design and content creation, demonstrating proficiency in AI tools by the end of Lecture 4. Design an AI-enhanced, persuasive course landing page focused on effective lead generation by completing Lecture 6. Develop a minimum of five interactive course activities using ChatGPT's insights, ensuring student engagement by Lecture 8. By Lecture 10, effectively use ChatGPT to curate and create content that focuses on experiential learning. Leverage ChatGPT to craft measurable, impactful learner outcomes, ensuring clarity and focus by Lecture 13. Complete a detailed syllabus, leveraging ChatGPT for content organization and backward design by Lecture 14. Implement a ChatGPT-based feedback mechanism for continuous course improvement, to be in place by Lecture 19. Formulate and refine a comprehensive AI-assisted marketing plan for your course, to be ready by Lecture 20. Apply ChatGPT-aided techniques to develop efficient email marketing campaigns, achieving proficiency by Lecture 21. Design high-engagement social media posts with ChatGPT's assistance, mastering this skill by Lecture 22. Requirements Zero previous AI experience needed. Zero previous teaching experience needed. Description Our course consists of 16 detailed videos, spanning over 2 hours and 30 minutes. We offer a practical walkthrough covering every facet of AI assisted online course creation.It's not just a guide; it's a real-time demonstration of building an online course from scratch, powered by the intelligence of ChatGPT. Each video contains actual footage of ChatGPT in use, ensuring nothing is left to imagination.Our course stands out for its practical approach. Over 90% of the content is demonstration-based, involving extensive screen sharing. You'll see firsthand how to engage with ChatGPT, from crafting prompts to interpreting responses. It's like having an expert sitting beside you, guiding you through each step.You'll actively participate in crafting your course's first impression with a Minimum Viable Landing Page and learn to write engaging social media posts for your course launch.By the course's end, you'll not only have a deeper understanding of course creation but also practical outputs like your course landing page and a strategy for using AI in your marketing efforts.Say goodbye to dull lectures; witness our hands-on demonstrations, mistakes, iterations, and successes.Moreover, we've designed the course to be interactive. You'll have the chance to open up ChatGPT on your own and follow along, making the learning experience hands-on and directly applicable. We also delve into how to create high-engagement posts and transform your course landing page using ChatGPT's insights, giving you the tools to effectively market your course.We practice what we preach. The techniques and frameworks we teach? 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