Welcome to the **Learn with AI** series. These are interactive, AI-driven learning paths designed to help you pick up new skills quickly, with daily practice and personalized guidance. Think of them as _choose your own adventure_ journeys: you get to decide where to start, and you can switch directions anytime to keep things connected to your interests. Each program uses an AI tutor that: - Interviews you on **Day 1** to understand your background and interests. - Builds a **customized lesson plan** for you. - Provides **daily exercises** (about an hour a day). - Tracks your **progress**, so you don’t repeat lessons. - Lets you pivot mid-journey (e.g., switch from cybersecurity to art applications) while staying grounded in the fundamentals. You’ll also have the option to run these programs locally on your computer for **privacy, speed, and environmental reasons**—using **LM Studio** and the **Qwen3 7B** model, so you’re not constantly streaming from the cloud. [[Run AI Locally 🌎 🌲]] --- ## Step 1: Choose Your Starting Path ### Learn to Code - **[[Learn to Code Interactive AI Course]] (Beginner)** Perfect if you’ve never coded before. Learn Python as your first programming language. - **[[2 Weeks to Python for Machine Learning Interactive AI Course]] (Machine Learning Research)** Geared toward IT/DevOps/network engineers. Moves quickly from scripting to machine learning basics. - **[[Learn to Code Interactive AI Course - Extreme Edition]] - Seven Languages in Seven Weeks** The “extreme mode.” Learn the same concepts across seven programming languages—Python, JavaScript, Ruby, etc.—one per week. Builds deep comparative skill fast. ### Cloud & Infrastructure - **[[Multiverse Cloud Ops Interactive AI Course]] - Seven Clouds in Seven Weeks** Learn to deploy across seven major cloud platforms. Ideal for engineers and aspiring DevOps professionals. ### Cybersecurity - **[[Multiverse CyberAttack Interactive AI Course]] Seven Hacks in Seven Weeks (Red Team)** Focused on offensive security—practical red team skills with daily applied exercises. - **[[Multiverse CyberDefense Interactive AI Course]] Seven Layers in Seven Weeks (Blue Team)** Defensive cybersecurity, mapping to the OSI layers and core blue team practices. ### Machine Learning - **[[Learn Machine Learning Interactive AI Course]] Machine Learning Odyssey: Seven Domains in Seven Weeks** A guided tour through the breadth of machine learning—vision, language, reinforcement learning, generative models, and more. --- ## Step 2: Daily Rhythm - **Time commitment:** ~1 hour per day. - **Format:** Daily lessons and hands-on exercises. - **Customization:** You can change direction partway through—AI will re-plan your curriculum. - **Progress tracking:** You’ll save a local progress file, so your AI tutor knows where you left off. Feel free to: - Ask for more examples - Ask for more explanations - Ask for more help - Ask for an easier exercise - Ask for a harder exercise - Ask for 20 more practice exercises - Ask for a different, more complex exercise related to what you're really interested in that day - Customize the materials however you like - Skip a day and fall behind - Jump in in the middle - Create your own streak or experience point mechanics in partnership with the AI - Explain what makes you feel excited about learning and what feels like a grind Post your achievements, questions for senior devs, and your thoughts in the [Learn To Code Room on Matrix](https://matrix.to/#/#learn-to-code:themultiverse.school) Got a cool lesson plan for something no one has thought of? They might want to follow that learning path. [Post your cool learning paths in the Learn to Code channel](https://matrix.to/#/#learn-to-code:themultiverse.school). --- ## Step 3: Running Locally (Eco-Friendly Option) Most AI tools run in the cloud, but every query means energy-hungry servers. Instead, you can run these tutors **locally** with: - **LM Studio** – a desktop app to run AI models offline. - **Qwen 3 7B** – a powerful open-source model, lightweight enough to run on most modern computers. **Benefits:** - **Environmentally friendly** – download once, reuse endlessly. - **Private** – your learning data stays on your machine. - **Fast** – no waiting for servers. Read how to [[Run AI Locally 🌎 🌲]] --- ## Step 4: Begin Your Adventure 1. Pick a starting path from above. 2. Open the system prompt (linked on each program’s page). 3. Start your **Day 1 interview** with your AI tutor. 4. Commit to your daily practice. Remember: **this is your adventure**. You can shift topics, dive deeper, or explore new domains as you go. The AI tutor adapts to you. --- ✅ Next steps: - Explore the detailed pages for each learning path. - Install LM Studio + Qwen 3 7B if you want the local setup. - Commit to your first week! - Join the Matrix Server for community and help. ---