AI Mastery Course - 2026 Edition

The most comprehensive, up-to-date AI course covering everything from prompt engineering to building autonomous agents. All content reflects the latest tools and techniques as of March 2026.

Who This Course Is For

• Developers wanting to integrate AI into their workflow
• Security professionals exploring AI for pentesting and defense
• Entrepreneurs building AI-powered products
• Anyone wanting to master the AI tools reshaping every industry

Prerequisites

• Basic programming knowledge (Python recommended)
• Command line familiarity
• Curiosity and willingness to experiment
• A computer with internet access (most tools are cloud-based)

Course Modules

Part 1: Foundations

Module	Title	Description
01	The AI Landscape in 2026	LLM providers, open-source vs closed models, key players (GPT-5.4, Claude Opus 4.6, Gemini 3, DeepSeek V3.2, Qwen3.5, Llama 4)
02	Prompt Engineering Mastery	Zero-shot, few-shot, chain-of-thought, tree-of-thought, system prompts, structured output, meta-prompting
03	Mastering ChatGPT, Claude & Gemini	Deep-dive into each platform's unique features, Canvas, Artifacts, Projects, Deep Research

Part 2: Tools & Platforms

Module	Title	Description
04	AI Coding Tools	Cursor, Windsurf, GitHub Copilot, Claude Code, Cline, Aider, Replit Agent
05	AI Image, Video & Audio Tools	Midjourney v7, Flux 2, DALL-E, Sora 2, Kling 3.0, Runway Gen-4.5, ElevenLabs
06	50+ AI Tools Reference Guide	Categorized guide: writing, research, design, productivity, development, data, marketing

Part 3: APIs & Development

Module	Title	Description
07	Free AI APIs & Where to Get Them	Google AI Studio, Groq, Hugging Face, OpenRouter, Cerebras, Mistral, Cohere, DeepSeek
08	Building Your Own AI Agents	OpenAI Agents SDK, LangChain, LangGraph, CrewAI, AutoGen with full code tutorials
09	MCP & The Tool Ecosystem	Model Context Protocol, MCP servers, building custom tools, connecting AI to services
10	No-Code AI Automation	n8n, Make, Zapier, Flowise, Dify -- building powerful workflows without code

Part 4: Applied AI

Module	Title	Description
11	AI-Powered Software Development	Architecture, debugging, testing, code review, full-stack development with AI
12	AI for Penetration Testing	BurpGPT, PentestGPT, Nuclei AI, agentic pentesting, AI-powered recon & exploitation
13	AI for Cybersecurity	Threat detection, malware analysis, OSINT, SOC automation, red team vs blue team AI

Part 5: Advanced Topics

Module	Title	Description
14	Running AI Locally	Ollama, LM Studio, vLLM, llama.cpp, fine-tuning, LoRA, quantization, self-hosting
15	RAG & Knowledge Systems	Retrieval-augmented generation, vector databases, embeddings, building AI over your data
16	Career Guide & Capstone Projects	Portfolio building, certifications, interview prep, 10 hands-on projects

Key Features

• Current as of March 2026 -- Every tool, API, and technique reflects the latest releases
• 50+ Tools Covered -- From ChatGPT to obscure but powerful specialized tools
• Free API Access -- Learn where to get free AI API access with no credit card required
• Hands-On Code -- Real code examples you can run immediately
• Security Focus -- Dedicated modules on AI for pentesting and cybersecurity
• Agent Building -- Build autonomous AI agents from scratch using multiple frameworks

How to Use This Course

1. Sequential learners: Follow modules 1-16 in order
2. Tool hunters: Jump to Module 6 (50+ Tools) or Module 7 (Free APIs)
3. Developers: Start with Module 4 (Coding Tools) then Module 8 (Building Agents)
4. Security pros: Go directly to Modules 12-13
5. AI builders: Focus on Modules 8-9-10 for the agent/automation stack

Contributing

Found outdated info? Want to add a tool? PRs welcome! See CONTRIBUTING.md.

License

This course is released under the MIT License. Use it, share it, build on it.

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Built with AI, for AI practitioners. Last updated: March 2026.