AI Fluency Course

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

Master OpenCode from scratch and learn how to build real-world AI applications using multiple models—without vendor lock-in or expensive subscriptions. This complete OpenCode course covers everything you need to go from beginner to advanced, including setup, model integration, agent workflows, and real project building. You’ll learn how to use OpenCode with tools like Ollama for running models locally, and OpenRouter for accessing multiple cloud models—all in a single workflow. We’ll also explore how to use powerful open models like Gemma 4 and optimize cost using model switching strategies. 🔥 What you’ll learn: OpenCode setup (Windows, Mac, Linux) Local AI with Ollama Cloud models via OpenRouter Multi-agent workflows (Plan vs Build mode) Cost optimization techniques Building real apps (REST APIs, UI apps, automation tools) Sessions, debugging, and workflow management 🎯 Who this is for: Developers & engineers AI enthusiasts Startup founders Anyone building AI-powered applications If you want full control over your AI stack—this is the course to start with.

In this full stack development course, you will learn how to create an application using MongoDb for the database, Java and Spring Boot for the backend, and React for the frontend. You will learn to develop a movie review application that will feature a separation of concerns between the client code and the server code. By implementing this loosely coupled architecture, these two parts (implemented using different technologies) can evolve in parallel and independently from one another. ✏️ Farhan Hasin Chowdhury teaches the backend section. ✏️ Gavin Lon teaches the frontend section. @GavinLon 💻 Backend Code: https://github.com/fhsinchy/movieist 💻 Frontend Code: https://github.com/GavinLonDigital/movie-gold-v1 🔗 Spring Initializr - https://start.spring.io/ 🔗 JDK Download Page: https://www.oracle.com/java/technologies/downloads/ 🔗 IntelliJ IDEA Download Page: https://www.jetbrains.com/idea/download/ 🔗 Postman Download Page: https://www.postman.com/downloads/ 🏗 MongoDB provided a grant to make this course possible. ❤️ Try interactive Full Stack courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Fullstack (Made possible by a grant from our friends at Scrimba) ⭐️ Contents ⭐️ ⌨️ (0:00:00) Course Introduction ⌨️ (0:01:48) JDK and IntelliJ IDEA Installation ⌨️ (0:06:13) MongoDB Atlas ⌨️ (0:20:35) Project Initialization ⌨️ (0:27:03) Project Structure ⌨️ (0:29:13) Running The Project ⌨️ (0:32:41) Writing The First Endpoint ⌨️ (0:35:33) Database Configuration ⌨️ (0:38:49) Installing Additional Dependencies ⌨️ (0:44:48) Setting Up Environment Variables ⌨️ (0:47:20) Movies and Reviews Endpoints ⌨️ (1:31:46) Testing ⌨️ (1:35:42) Backend Conclusion ⌨️ (1:36:45) Frontend Introduction ⌨️ (1:38:32) Create the React Project ⌨️ (1:43:49) Applying Bootstrap to our React application ⌨️ (1:52:47) Implementing the Use State and Use Effect Hooks ⌨️ (1:58:04) Create Home and Hero Component ⌨️ (2:06:56) Style the Carousel ⌨️ (2:15:21) Create Header Component (Navigation) ⌨️ (2:21:55) Create Trailer Component with react-player ⌨️ (2:28:46) Create Movie Reviews Functionality ⌨️ (2:34:43) Add and Get Reviews with HTTP Requests ⌨️ (2:40:33) Course Wrap Up 🎉 Thanks to our Champion and Sponsor supporters: 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Erdeniz Unvan 👾 Justin Hual 👾 Agustín Kussrow 👾 Otis Morgan -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

Visit sintra.ai/leonvanzyl or use my promo code leonvanzyl at checkout to receive limited time offer of 72% off on all plans 🚀 Free resources: source code, prompts, workflows + peer discussion https://skool.com/leonvanzyl 🧪 Agentic Labs: AI coding courses, live Q&A, weekly builder challenges, direct access to me + a serious builder community https://skool.com/agentic-labs OpenCode is the open source coding agent that is quickly becoming a serious alternative to Claude Code. In this opencode tutorial, you will learn how to install OpenCode, connect free AI models through OpenCode Zen or premium providers like OpenAI, and master advanced features including agent skills, sub agents, MCP servers, and background agents. ⏱️ CHAPTERS: 00:00 - OpenCode intro and overview 00:39 - Installing OpenCode in seconds 01:25 - Connecting providers and OpenCode Zen 02:20 - Free AI coding models walkthrough 03:46 - Scaffolding a Next js project 04:55 - Subscriptions vs API keys 06:00 - Connecting OpenAI and GPT 5 07:30 - Installing agent skills from skills sh 10:30 - AGENTS md memory file setup 13:00 - Sub agents and context window protection 15:30 - Design system for consistent UI 15:50 - Sponsor message 18:00 - Building the AI Project Planner app 22:30 - Saving plans for future sessions 24:30 - Creating custom sub agents 28:30 - Playwright MCP server setup 30:30 - Auto testing the app with browser MCP Business & sponsorship enquiries: leon.vanzyl@gmail.com #opencode #agenticcoding

Learn Elixir and functional programming in this coruse for beginners. By the end of this course, you'll be able to build your own Elixir applications and confidently apply functional programming concepts in your projects. ✏️ Course created by @octallium 💻 Github Repo: https://github.com/octallium/functional-programming-with-elixir ⭐️ Contents ⭐️ ⌨️ (0:00:00) Introduction ⌨️ (0:01:45) What is Elixir? ⌨️ (0:04:07) What is functional programming? ⌨️ (0:06:57) What is Recursion? ⌨️ (0:13:04) Installing Elixir & Setting Up VS Code ⌨️ (0:15:03) Learning & Unlearning ⌨️ (0:18:29) Pattern Matching ⌨️ (0:22:35) Introduction to LiveBook ⌨️ (0:26:04) Understanding Immutability ⌨️ (0:30:22) Actor Model ⌨️ (0:34:48) Hello World in Elixir ⌨️ (0:43:25) Data Types - Atom ⌨️ (0:50:25) Data Types - String ⌨️ (1:45:29) Data Types - Charlist, Process & List ⌨️ (1:14:54) Data Types - Tuples & Keyword List ⌨️ (1:19:27) Data Types - Maps ⌨️ (1:25:38) Data Types - Struct ⌨️ (1:30:09) Flow Control ⌨️ (1:39:54) Mix Project ⌨️ (1:41:19) Head & Tail Recursion ⌨️ (2:00:17) Recursion - Sum Digits ⌨️ (2:15:31) Recursion - Factorial ⌨️ (2:24:57) Recursion - Reverse Number ⌨️ (2:32:45) Lists Are LinkedList!!! ⌨️ (2:35:53) List Sum ⌨️ (2:47:04) Reverse List ⌨️ (2:52:58) List Map ⌨️ (3:04:34) Concat ⌨️ (3:09:23) FlatMap ⌨️ (3:14:07) Mid Review ⌨️ (3:15:00) Seven Wonders ⌨️ (3:40:27) For Comprehension ⌨️ (3:42:00) Expense Manager ⌨️ (4:04:17) Project Stats ⌨️ (5:16:30) Final Words 🎉 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 -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp

OpenClaw previously known as moltbot or clawdbot is the latest AI model agent you can run locally on your own PC that is autonomous connects to MCP like Zapier https://bit.ly/4tgTFlK and runs 24/7 and was just recently supported by OpenAI as open source project. With the logo of a lobster, and created by Peter Steinberger, it is written in typescript and people are buying mac mini's to run it non stop! In this video I'll explain how to set it up and start using it on your own system. We will configure it with WhatsApp, Telegram and Ollama to run your own local models too. Connect Zapier as our MCP server: https://bit.ly/4tgTFlK 00:00 - Chapter 1 - OpenClaw Tutorial 00:20 - Chapter 2 - OpenClaw Installation 00:34 - Chapter 3 - OpenClaw Setup AI Models (Clade, OpenAI, etc) 01:22 - Chapter 4 - OpenClaw TUI (Terminal UI) 01:40 - Chapter 5 - OpenClaw Web UI 02:15 - Chapter 6 - OpenClaw Channels (Messaging) 02:28 - Chapter 7 - OpenClaw WhatsApp Setup 02:50 - Chapter 8 - OpenClaw Telegram Setup 03:53 - Chapter 9 - OpenClaw MCP Tools (Zapier, Gmail, etc) 05:07 - Chapter 10 - OpenClaw Security and Risks 05:50 - Chapter 11 - OpenClaw Costing and Price 06:04 - Chapter 12 - OpenClaw Run Local AI Models (with Ollama) 07:08 - Chapter 13 - OpenClaw Workspace (in VS Code or Cursor) 07:43 - Chapter 14 - OpenClaw Final Thoughts and Conclusion #openclaw #openai #zapier Want to learn web design? ⭐ Check out my course! ⭐ 📘 Teach Me Design - Course: https://www.enhanceui.com/