AI Fluency Course

Learn the basics of artificial intelligence. This course is for absolute beginners. This course was created by learnaianywhere.org and released to support the goals of National AI Literacy Day. You can learn more at https://learnaianywhere.org and download the resources used. For more on AI Literacy Day, check out ailiteracyday.org or their YouTube playlist: https://www.youtube.com/watch?v=vihMGH6aqTY&list=PLGhqQNp1xV3McvqOTfJmX2mAuuZqOKMEs ❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba) ⭐️ Contents ⭐️ - 00:00 Welcome To The Course - 01:46 Prerequisite - 02:51 Symbol Key - 03:19 Lesson 1: What is AI - Objectives - 03:35 Lesson 1: What is AI - What Is AI AI or Not: https://learnaianywhere.org/courses/ai-literacy-for-everyone/ai-or-not - 05:39 Lesson 1: What is AI - How AI Can Help Us Recap Quiz: https://learnaianywhere.org/courses/ai-literacy-for-everyone/recap-quiz-1 - 07:14 Lesson 1: What is AI - Project Time - 09:06 Lesson 2: The Key Parts of Machine Learning - Objectives - 09:27 Lesson 2: The Key Parts of Machine Learning - What is Machine Learning - 12:01 Lesson 2: The Key Parts of Machine Learning - Neuropocket Tutorial - 14:39 Lesson 2: The Key Parts of Machine Learning - AI Tools Can Make Mistake Recap Quiz: https://learnaianywhere.org/courses/ai-literacy-for-everyone/recap-quiz-2 - 16:27 Lesson 2: The Key Parts of Machine Learning - Project Time - 17:20 Lesson 3: How Do Machines Train - Objectives - 18:06 Lesson 3: How Do Machines Train - The Describer Drawer Game - 19:51 Lesson 3: How Do Machines Train - The Describer Drawer Game Demonstration - 23:07 Lesson 3: How Do Machines Train - What Is An Algorithm - 25:37 Lesson 3: How Do Machines Train - The Human Learning Algorithm - 30:25 Lesson 3: How Do Machines Train - The Machine Learning Algorithm Recap Quiz: https://learnaianywhere.org/courses/ai-literacy-for-everyone/recap-quiz-3 - 38:05 Lesson 3: How Do Machines Train - Project Time - 39:07 Lesson 4: Can Machines Be Responsible - Objectives - 39:34 Lesson 4: Can Machines Be Responsible - Bearly A Dog Challenge - 40:14 Lesson 4: Can Machines Be Responsible - What is Bias - 44:06 Lesson 4: Can Machines Be Responsible - Who is Responsible - 46:50 Lesson 4: Can Machines Be Responsible - Data Privacy - 50:46 Lesson 4: Can Machines Be Responsible - Responsible AI Recap Quiz: https://learnaianywhere.org/courses/ai-literacy-for-everyone/recap-quiz-4 - 51:20 Lesson 4: Can Machines Be Responsible - Project Time

Download Free Notes Here:- https://www.theiscale.com/DataAnalytics/a-i-full-course-free-master-ai-tools-core-concepts-notes 🚀 The wait is over! Welcome to the Complete Artificial Intelligence Course (Free) — your step-by-step guide to learning AI from scratch. In this beginner-friendly course, you’ll explore how Artificial Intelligence works, understand key AI concepts, and learn to use the latest AI tools like ChatGPT, Gemini, DeepSeek, NotebookLM, and AI Agents to build real-world projects. 📘 What You’ll Learn: . What is Artificial Intelligence & how it works . Machine Learning vs Deep Learning . AI Tools for productivity, content creation & coding . AI Agents & Automation basics . Real-world AI applications & projects . Future of AI and career opportunities Time Stamp 00:00 - Introduction 03:30 - AI Operators & AI Builders 07:00 - AI tools 07:02 - Note book LM 07:55 - Generating interview questions with AI 14:21 - Generating Social Media content 17:16 - Converting text data to video data 18:48 - Google Gemini 20:20 - Converting reports to insights 23:25 - Data Visualization through AI 27:48 - Using chat gpt as data analyst 30:54 - Data processing with AI 33:45 - Transforming data to graph 37:27 - Prompt writing technique for better output 41:50 - Manus AI 42:00 - Difference between Chat gpt and Manus AI 48:12 - Making Website through AI Agent 55:17 - Deepseek AI 58:39 - Deep Seek advantage over chat gpt 58:26 - Model training behind deepseek 01:11:02 - Deepseek for writing codes 01:11:42 - Introduction to Generative & Agentic AI 01:13:48 - Generative AI growth in tech 01:15:20 - Prompt engineering in Gen AI 01:20:48 - Limitations of Gen AI 01:21:02 - Agentic AI 01:24:00 - Automation and Autonomous Workflows 01:25:22 - Agentic AI Systems 01:27:42 - chat gpt vs world's first AI agent Manus 01:32:30 - LLM, AI Workflows & AI Agents 01:36:24 - LLM Model Training 01:37:44 - Introduction to AI Workflow 01:42:08 - Architecture of AI Agents 01:58:41 - Working of AI workflows 02:00:14 - Types of AI Agent 02:01:08 - Single AI Agent 02:04:35 - Multi AI Agent 02:06:10 - Sequential Pattern 02:08:40 - Hierarchical Pattern 02:11:35 - Hybrid Pattern 02:12:32 - Parallel Pattern 02:13:19 - Asynchronous Pattern 02:14:25 - Types of AI Agents 02:15:27 - Simple Reflex AI Agent 02:16:36 - Model Based Reflex AI Agent 02:17:24 - Goal Based AI Agent 02:19:19 - Utility Based AI Agent 02:22:13 - Learning Based AI Agent 02:26:05 - Coding Assistant Agent: 02:27:15 - E-commerce and Product Research AI 02:28:49 - Healthcare Assistant 02:30:21 - Agentic applications 02:31:00 - Final Project for Building AI Agent for free 02:51:56 - Conclusion of AI course 🧠 Who This Course is For: . Complete beginners who want to start with AI . Students & professionals exploring new career paths . Content creators, coders & entrepreneurs 🎯 Whether you want to build your first AI project or understand how AI tools can boost your career — this free course is your ultimate starting point! ✨ Kickstart your career in a Data Analyst. Apply today! - https://www.theiscale.com/DataAnalytics/data-analyst-course-form ❇️ Explore our Job Oriented Courses: https://www.theiscale.com/explore-course ➖➖➖➖➖➖ 📱 For Any Further Query or Doubts? Contact- 7880-113-112 (Student Helpline Number) For any query connect in WhatsApp with us: https://wa.me/917880113112 ➖➖➖➖➖➖ ✳️ Join Telegram Channel- https://t.me/TheiScale ✳️ Join WhatsApp Channel- https://whatsapp.com/channel/0029VaB5ekEKQuJQV572vi2c ➖➖➖➖➖➖➖ 🔗 Download App Google Play : https://play.google.com/store/apps/details?id=com.logixhunt.ihhpet&pli=1

Learn how to use the OpenAI's Assistants API to build powerful AI assistants. In this course, we'll explore how to leverage the Assistants API by OpenAI to create dynamic, intelligent web apps using Streamlit. What we'll cover: 1️⃣ Function Calling with the API: Learn to seamlessly integrate the Assistants API into your applications, enabling advanced AI functionalities right at your fingertips. 2️⃣ Knowledge Retrieval: Discover how to use the API to extract information, answer questions, and make your applications smarter and more responsive. 3️⃣ Code Interpreter Capabilities: Dive into the API's ability to interpret and generate code, a game-changer for automating tasks and enhancing your app's capabilities. 4️⃣ LLM Fundamentals: Gain a solid understanding of Large Language Models (LLMs) and how they form the backbone of OpenAI's Assistants API. This module demystifies the technology and provides a foundation for advanced application development. The course features a series of hands-on projects and real-world examples to apply what you've learned. By the end of our session, you'll have the skills and confidence to build your own intelligent web apps using Streamlit and OpenAI's Assistants API. ⭐️ Code ⭐️ Personal trainer: https://github.com/pdichone/vincibits-personal-trainer-assistant Personal trainer: https://github.com/pdichone/vincibits-personal-trainer-assistant Study-Buddy: https://github.com/pdichone/vincibits-study-buddy-knwoledge-retrieval ✏️ Created by @vincibits Twitter (X): @buildappswithme ❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba) ⭐️ Contents ⭐️ ⌨️ (0:00:00) Introduction ⌨️ (0:01:02) What’s This Course About - What Will You Learn? ⌨️ (0:01:33) Pre-requisites ⌨️ (0:02:44) Python and Dev tools Set up ⌨️ (0:04:22) VS Code Installation ⌨️ (0:05:31) OpenAI Account - Generate an API Key ⌨️ (0:07:53) What is the Assistants API & Benefits - Comparison Between the Chat Completion API and the Assistants API ⌨️ (0:18:16) Assistants API Building Blocks ⌨️ (0:24:04) Creating an Assistants API - Manually (Personal Trainer) ⌨️ (0:38:20) Creating an Assistants API - In Code (Personal Trainer) ⌨️ (1:04:15) Build a News Summarizer Introduction: Function Calling - A Streamlit Application ⌨️ (1:25:39) Create an AssistantsManager Class For our News Summarizer ⌨️ (2:10:46) Using the AssistantManager Class to Create an Assistant and run it as a Streamlit App ⌨️ (2:28:23) Knowledge Bases Retrieval Tools - How it Works & Introduction to Embeddings ⌨️ (2:35:25) Build a Study Buddy Streamlit Application ⌨️ (3:22:24) Run the Study Buddy Streamlit Application and Test ⌨️ (3:29:27) Wrap up and Final Considerations. 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

Hi, I’m Saumya, a Software Engineer with 5+ years of experience In this video, you will start your journey to learn AI from scratch with a complete step-by-step guide designed especially for beginners. This AI tutorial for beginners covers everything you need to begin your AI learning journey, whether you are looking for a AI course for beginners in English or a AI tutorial for beginners in Hindi. All Notes + AI Pocket Book + Certification : https://gsjqmh.courses.store/851148 [ Past issues in app is fixed so you will instantly get certificate in app after purchasing this AI KIT ] More free tutorial loading for my pyare subscribers ❤️ Org code : ✨ ✨ For 1:1 Career Guidance & Roadmap from @saumya1singh Di - https://topmate.io/saumya1singh Learn to Code faster with Scrimba : https://scrimba.com/?via=SaumyaSingh This Complete Free AI Course 2026 is structured like a practical Free AI crash course, making it easy to understand core concepts of AI programming in a short time. We’ll take you through a Complete AI Learning RoadMap (A to Z) so you can confidently go from zero to building real-world AI applications. Whether you are searching for learn AI, AI for beginners, AI from scratch, AI full course, complete AI course, complete AI course free, AI engineer roadmap, or a Free AI course, this video brings everything together in one place. You’ll also explore modern concepts like agentic AI and prompt engineering, helping you understand how AI systems work and how to use them for real-world problem solving and career growth. This AI course is perfect for students, aspiring developers, and anyone who wants to start AI from scratch and build a strong foundation in artificial intelligence. Don’t forget to like, share, and subscribe for more AI tutorials, AI programming guides, and complete courses! Notes:- Certificate Link :- ❤️ ❤️ Saumya Di’s First Book (A small gift for favourite subscribers ): https://store.bookleafpub.com/discount/MAY26?redirect=%2Fproducts%2F9788199612686 Discount code: MAY26 ✨ Join Broadcast Channel - https://www.whatsapp.com/channel/0029VbAnnzw6hENpACnPoq03 ✨Share your progress & learnings on✨ Instagram: https://www.instagram.com/saumya1singh/ Twitter: https://x.com/saumya1singh LinkedIn: https://www.linkedin.com/in/saumya1singh/ Youtube: https://www.youtube.com/@saumya1singh ✌🏻 FREE Agentic AI Course with Certificate ✌🏻 https://youtu.be/uYmIFc7gUyk?si=BoNr9U1fMlNt8fID ✌🏻 FREE Python Course with Certificate ✌🏻 https://www.youtube.com/playlist?list=PLTV_nsuD2lf7JOwZdSWuup-YO0AUaDQti ✌🏻 Free Android App Development Playlist | 30 Days of Coding Challenge ✌🏻 youtube.com/playlist?list=PLTV_nsuD2lf4UCTV6xwvNPvFdmCNKyhc8 🪴 Making you Successful & Aware. Comment "#SaumyaDi" if you read this ❤️😍 #aicourses #ai #freeaicourse #freecourses #completeaicourse #completeaicoursefree #aiengineerroadmap #aiforbeginners #aiforbeginners #ai #aicourse #aifromscratch #learnai #aitutorialforbeginners #aicrashcourse Keywords : [ learn AI, AI tutorial for beginners, Free AI crash course, Free AI course, AI course for beginners, AI course for beginners in English, AI tutorial for beginners in Hindi, complete AI course, AI programming, AI Tutorial For Beginners in Hindi, Complete AI Course, Complete AI Learning RoadMap (A to Z), AI for beginners, AI from scratch, AI full course, complete ai course, complete ai course free, ai engineer roadmap, ai for beginners, prompt engineering,how to learn prompt engineering,prompt engineering course,prompt engineering roadmap,prompt engineering 2026 complete crash course] 00:00:00 - Introduction 00:01:05 - What You Will Learn 00:02:40 - Advantages of Mastering AI 00:05:40 - What is AI and How It Actually Works? 00:14:38 - Evolution of AI 00:21:10 - AI Ecosystem & Infrastructure 00:25:50 - Important Understanding 00:26:30 - Types of AI Tools 00:30:18 - AI Family Tree 00:32:54 - Machine Learning 00:39:48 - Types of Machine Learning 00:43:50 - Summary of Machine Learning 00:44:17 - Deep Learning 00:45:28 - Neural Networks 00:50:55 - Natural Language Processing 00:52:50 - Computer Vision 00:54:04 - Generative AI 00:54:36 - Large Language Models (LLMs) 00:55:14 - AI Buzz Words Explanation 00:57:30 - Practical AI Tools Demos 01:10:53 - Career Opportunities in AI (Core Tech) 01:13:30 - Best Skills for Beginners & Certification Process 01:16:02 - Agentic AI 01:16:45 - Why AI Agents Were Needed 01:24:00 - AI Workflow 01:27:02 - AI Agent - The Solution 01:35:20 - Creating an AI Agent 01:49:15 - Summary of AI Agent 01:50:15 - AI Agent and its Environment 01:54:40 - How People are Earning from AI Agent? 01:55:30 - All About Prompt Engineering 02:04:42 - 5 Structures for Powerful Prompts 02:07:50 - Components of a Good Prompt 02:08:50 - Examples of Good Prompts 02:11:45 - Types of Prompts 02:13:30 - Common Prompting Mistakes and Troubleshooting 02:14:00 - Where to Apply for Prompt Engineering Roles? 02:15:35 - Conclusion

Learn Python from scratch and start building real AI applications. This is the fastest, beginner-friendly course Python for AI development. 📕 Course Handbook: https://go.datalumina.com/cm5P6b6 📥 Course Resources: https://go.datalumina.com/M2YfRW3 👊🏻 Let's connect on IG: https://www.instagram.com/daveebbelaar/ 🎙️ Try Glaido, the #1 dictation tool for developers: https://get.glaido.com/dave ⏱️ Timestamps 00:00:00 Introduction: Learn Python for AI 00:01:42 Course Overview & Structure 00:03:58 Installing Python 00:04:05 Installing Python on Windows 00:05:10 Installing Python on Mac 00:06:53 Installing VS Code 00:08:34 Setting Up VS Code (Extensions) 00:12:08 Customizing VS Code 00:13:31 Creating Your First Project 00:16:18 Creating a VS Code Workspace 00:18:02 Your First Python File (hello.py) 00:20:10 Running Python Code 00:26:23 Exercise & Recap 00:29:26 Course Resources & Community 00:31:07 Understanding Python Environments 00:33:15 Understanding Python Packages & Pip 00:34:00 Creating Virtual Environments (venv) 00:37:34 A Note on Anaconda 00:38:32 Installing Python Packages (pip install) 00:42:51 Using Python Packages (Import) 00:44:29 Interactive Python with Jupyter 00:48:30 Full Setup Recap & Exercise 00:51:36 What is Programming? 00:55:19 Understanding Python Syntax & PEP8 00:58:00 Understanding & Debugging Errors 01:01:33 Variables 01:06:03 Comments 01:09:48 Data Types Introduction 01:10:12 Numbers (Integers & Floats) 01:13:36 Strings 01:19:39 String Formatting (F strings) 01:21:49 String Methods 01:26:35 Booleans 01:31:02 Operators (Arithmetic, Comparison, Logical) 01:39:19 Shortcut Assignments (+=) 01:40:24 Control Flow Introduction 01:41:35 Conditional Statements (if, elif, else) 01:47:11 Loops (For Loops & range()) 01:52:13 Data Structures Introduction 01:53:32 Lists 01:59:10 Dictionaries 02:00:23 Tuples 02:01:37 Sets 02:05:51 Functions (Defining & Calling) 02:15:02 Function Parameters & Arguments 02:22:42 Global vs Local Variable Scope 02:28:50 Returning Values from Functions 02:37:37 External Tools (Modules, Packages) 02:40:48 Importing Modules & Built ins 02:47:56 Import Methods Summary 02:48:48 Installing Packages & requirements.txt 02:56:04 Working with APIs (Requests Example) 03:06:20 Working with Data Example (Pandas & Matplotlib) 03:10:46 Reading & Saving Data Files 03:14:50 Practical Python Introduction 03:16:47 Project Structure & Organization 03:22:02 Understanding File Paths 03:26:37 Working with Different File Types 03:34:05 Organizing Code into Modules 03:39:39 Error Handling (Try/Except) 03:45:31 Introduction to Classes (OOP) 03:49:09 Creating Your First Class (__init__, self) 03:57:04 Class Attributes vs Instances 04:00:10 Class Methods 04:05:23 Class Inheritance 04:07:32 When to Use Classes vs Functions 04:09:44 Introduction to Git & GitHub 04:12:31 Git Fundamentals 04:15:41 Installing Git 04:16:46 Basic Git Workflow 04:18:41 GitHub Account Setup & Authentication 04:22:37 Cloning GitHub Repositories 04:28:12 Creating Repositories & .gitignore 04:36:12 Using Git with VS Code UI 04:44:05 Environment Variables & Secrets (.env) 04:52:13 Using python dotenv Package 04:55:03 Introduction to Ruff (Linter & Formatter) 04:56:13 Setting Up Ruff in VS Code 04:57:23 Ruff in Action 05:01:10 Introduction to Uv (Modern Package Manager) 05:02:07 Installing Uv 05:02:30 Using Uv (uv init, add, sync) 05:09:01 Complete Python Project Workflow Exercise 05:11:13 Course Wrap up & What's Next 👋🏻 About Me Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!

🔥 Join Maker School & get customer #1 guaranteed: https://skool.com/makerschool/about 💎 Check out my SaaS, Clairvo (we 2x your pickup rate): https://clairvo.io?s=nick ➡️ Get all AI agent course resources 100% free: https://skool.com/maker-zero/about If this is your first video: I'm Nick Saraev. I run LeftClick, an AI growth agency. We've done work for large brands you're likely familiar with, like Mr. Beast, Anthropic, OpenAI, and a few others. In plain English: I help people build systems that generate leads, close deals, and scale businesses, mostly using new AI models like Claude. I also make videos about how to do all of that here on YouTube. It hasn't always been this way. My family immigrated from a Soviet bloc country (People's Republic of Bulgaria) in the 90s. They worked extremely hard, and we were broke for a very long time. I grew up wishing for more security, stability, and freedom over my own life. I don't have a programming degree, and never took formal education for IT or workflows. I learned it all myself from YouTube videos like you're watching now. As for my path: I started my first business at 19 in college. We threw events (mostly parties) at campus bars, and charged people for entry. That failed to provide me enough money to pay my bills, so at 21, I started another business, a door-to-door marketing agency. From there, every year, I would start several companies, over 10 in total. I did this in a variety of industries, like e-commerce, photography, videography, SaaS, credit repair, etc. Each grew slightly more profitable, until, at 25, I would start 1SecondCopy, a content writing company. A friend and I eventually scaled that to over $90,000/m. It was my first taste of financial independence, and the reason I'm here today. Since starting my journey, I've grown a fair bit of capital. To diversify my income, at 30, I began investing in other businesses and advising companies on how to grow in the AI era. These include SaaS businesses, like Clairvo, agencies like Dental Connect, and more. Collectively, the businesses that I own outright or are a part of generate over $10 million per year. This returns far more than the 5-10% you would get in the stock market, but also requires a lot of my active time. There's a tradeoff there, but I greatly prefer active investing, where I have control over the entities I'm a part of. It wasn't easy to get here. But I did in the end! For anyone on their own entrepreneurial journey: I wish you luck, happiness, and perseverance. You can make it! Summary ⤵️ Hey, this is an end to end, extremely comprehensive course all about AI agents. It covers the three modern agentic AI tools: Codex, Claude Code, and Antigravity, and is agnostic to whichever you use. I will guide you through initial setup; workspace configuration; and then a variety of foundational to prompting techniques like self modifying agent instructions, multi agent MCP orchestration, video-to-action pipelines, agent chatrooms, subagent verification loops, prompt contracts, reverse prompting, and even more! By the end, you will have learned, no fluff, both foundational AI agent design and advanced prompt engineering both. You will also have mastered a bunch of key agentic AI principles, like context management and token usage optimization! Thanks and happy watching! My software, tools, & deals (some give me kickbacks—thank you!) 🚀 Instantly: https://link.nicksaraev.com/instantly-short 📧 Anymailfinder: https://link.nicksaraev.com/amf-short 🤖 Apify: https://console.apify.com/sign-up (30% off with code 30NICKSARAEV) 🧑🏽‍💻 n8n: https://n8n.partnerlinks.io/h372ujv8cw80 📈 Rize: https://link.nicksaraev.com/rize-short (25% off with promo code NICK) Chapters 00:00 Introduction to AI Agent Full Course 02:14 Multi-Agent Chrome MCP Workflow Demonstration 04:28 Core Agent Workflow 09:09 Understanding AI Agent Architecture 13:18 The Three Major AI Agent Platforms (Codex, Claude Code, Antigravity) 22:29 Platform-Specific Performance Insights 25:43 Self-Modifying System Prompts 34:57 Standardizing Workflows with Agent Skills 39:03 Multi-Agent Orchestration Strategies 47:20 Video-to-Action Pipeline 56:07 Implementing Stochastic Multi-Agent Consensus 1:04:44 Agent Suggestions Unveiled 1:05:08 Consensus Reports and Insights 1:06:05 Harnessing Multiple Agents 1:07:41 Agent Chat Rooms Explained 1:10:34 Debate and Collaboration Among Agents 1:13:25 Sub-Agent Verification Loops 1:17:32 The Mixture of Experts 1:20:56 Prompt Contracts Introduced 1:24:23 Crafting Effective Prompt Contracts 1:27:40 Reverse Prompting for Clarity 1:31:41 Context Management Strategies 1:37:34 Multi-Agent Chrome Automation 1:48:49 Understanding MCP Tools and Skills 1:53:34 Context Compression Techniques 1:59:19 Optimizing Token Usage 2:06:46 Cost-Efficient Multi-Agent Strategies 2:11:30 LLM Pricing Principles