AI Learning Paths & Courses
Choose a practical starting point, build a weekly practice rhythm, and learn AI without collecting courses you never finish.
24 lessons
Browse 20 learning paths
ToolDix AI Learning
A practical library for learning, building, and teaching with AI.
A working library for people who want more than a list of links: structured public courses, original study notes, primary readings, video analysis prompts, and small build exercises. Start with the work you want to do, not the tool you happen to see first.
Start here
What do you want to make or understand?
238 original lessons across 20 paths, written and illustrated by ToolDix. Every path opens to a full outline you can read here.
New lessons are reviewed before publication.
AI Development Toolkit
A tool-by-tool guide to the frameworks AI work runs on -- PyTorch, TensorFlow, scikit-learn, OpenCV, LangChain, Ollama and the browser automation stack: what each is genuinely for, when it is the wrong choice, and the failure modes that show up in real projects.
11 lessons
AI Agent Tutorial: Concepts to Architecture
A full deep-dive course on AI agents -- core components, the agent loop, LLM foundations, retrieval, context engineering, and how to build your first agent.
25 lessons
Claude Code Tutorial: From First Command to Custom Workflows
A full deep-dive course on Claude Code -- the permission model, the core plan-edit-test loop, CLAUDE.md project context, subagents, hooks, MCP, skills, and the headless SDK.
20 lessons
Codex Tutorial: OpenAI's Coding Agent in Depth
A full deep-dive course on OpenAI's Codex -- how it plans and edits code, the CLI, IDE extension, and cloud sandbox modes, task scoping, and reviewing agent-generated diffs safely.
8 lessons
OpenCode Tutorial: The Open-Source Terminal Agent
A full deep-dive course on OpenCode -- provider-agnostic model configuration, plan versus build modes, self-hosting, and when an open coding agent is worth the setup over a closed one.
7 lessons
Vibe Coding Tutorial: Building Software by Describing It
A full deep-dive course on vibe coding -- where it speeds up real work, where it creates real risk, and the review habits that keep a fast, description-driven workflow safe to ship.
7 lessons
Prompts & Context Engineering
Write, test, and improve prompts that give models the context, constraints, and evaluation signals they need.
24 lessons
Machine Learning & Deep Learning
Learn the model, data, optimization, and evaluation foundations behind modern AI by training and inspecting small systems yourself.
24 lessons
AI Image Creation
Go from a visual brief to consistent generated images while managing references, revisions, and commercial-use checks.
6 lessons
AI Video
Plan clips, maintain visual continuity, and combine generation with editing rather than relying on one-shot video prompts.
6 lessons
AI Music
Use AI for music ideation, arrangement, and iteration while keeping licensing and voice rights in view.
6 lessons
Digital Humans & Speech
Learn text-to-speech, avatars, lip sync, consent, and disclosure practices for trustworthy synthetic media.
6 lessons
AI 3D
Explore text-to-3D and image-to-3D workflows, then prepare assets for real editing, rendering, or game pipelines.
6 lessons
ComfyUI Workflows
Build node-based image workflows that are reproducible, portable, and easier to debug than a growing pile of screenshots.
6 lessons
LLMs, RAG & Evaluation
Understand transformer-based language systems, build retrieval with citations, and evaluate quality before treating a demo as a product.
24 lessons
MLOps & Model Deployment
Move models from notebooks into reproducible services with versioned data, automated tests, deployment controls, and production monitoring.
8 lessons
AI Product & Strategy
Choose valuable AI problems, design trustworthy human-AI interactions, and connect experiments to measurable product and business outcomes.
6 lessons
Responsible AI & Security
Turn responsible-AI principles into risk registers, threat models, evaluation gates, incident plans, and accountable operating practices.
8 lessons
AI Education
Use AI to support teaching and learning with clear goals, privacy safeguards, and academic-integrity boundaries.
6 lessons
Featured resources
Go deeper with a trusted course or guide.
Start from a focused selection, then browse the complete library by format. Every card opens a ToolDix guide with source context and study notes.
CourseBeginner
Generative AI for Everyone
DeepLearning.AI · Andrew Ng
A non-technical orientation to what generative AI can do, where it fails, and how teams can use it responsibly.
- Time
- 5 hours · 32 videos
- Author
- Andrew Ng
capabilitieslimitsstrategy
Read the ToolDix guide
CourseBeginner
Generative AI for Beginners
Microsoft
A structured, code-forward curriculum covering generative AI concepts and application building.
- Time
- 21 lessons
application buildingresponsible AIpractice
Read the ToolDix guide
Hands-on labIntermediate
LLM Course
Hugging Face
A practical path through Transformers, tokenizers, datasets, fine-tuning, and modern LLM workflows.
- Time
- 12 chapters
transformersdatasetsfine-tuning
Read the ToolDix guide
CourseIntermediate
AI Agents Course
Hugging Face
An applied route through agent concepts, tool use, and agent frameworks.
- Time
- Self-paced units
tool useagent loopsevaluation
Read the ToolDix guide
CourseBeginner
Codex Documentation
OpenAI
Official documentation for delegating coding tasks, providing context, reviewing changes, and using Codex within an engineering workflow.
- Time
- Getting-started guides
Codexengineering workflowreview
Read the ToolDix guide
CourseIntermediate
Full Stack LLM Bootcamp
Full Stack Deep Learning
A practitioner-focused course covering prompt engineering, augmented language models, LLMOps, deployment, user experience, and product development.
- Time
- Lectures, labs, and projects
LLM applicationsRAGLLMOps
Read the ToolDix guide