AI Fundamentals & OpenCode

Description

Learn Artificial Intelligence fundamentals and progress into practical AI-assisted software engineering using OpenCode. Understand LLMs, tokens, context engineering, agents, tools, RAG, AGENTS.md, skills, subagents, providers, models, permissions and multi-agent development.

Lessons

1. AI Fundamentals
2. Machine Learning, Deep Learning and Generative AI
3. LLMs, Tokens and Context
4. Prompt Engineering
5. Context Engineering
6. AI Agents and Agent Loops
7. Tools, Tool Calling and MCP
8. RAG and Embeddings
9. OpenCode Fundamentals
10. AGENTS.md
11. Skills and SKILL.md
12. OpenCode Agents and Subagents
13. Providers, Models and Model Selection
14. Permissions and Safe Agent Design
15. Multi-Agent Software Engineering
16. Token and Context Optimization
17. Complete OpenCode Project
18. Exercises and Final Project
19. Current OpenCode Reference

Suggested LearnCen hierarchy

AI Fundamentals & OpenCode
|
+-- AI Fundamentals
|   +-- AI Fundamentals
|   +-- ML, Deep Learning and GenAI
|   +-- LLMs, Tokens and Context
|   +-- Prompt Engineering
|   +-- Context Engineering
|
+-- AI Agents
|   +-- AI Agents and Agent Loops
|   +-- Tools, Tool Calling and MCP
|   +-- RAG and Embeddings
|
+-- OpenCode
|   +-- OpenCode Fundamentals
|   +-- AGENTS.md
|   +-- Skills
|   +-- Agents and Subagents
|   +-- Providers and Models
|   +-- Permissions
|
+-- AI Engineering
    +-- Multi-Agent Workflow
    +-- Token Optimization
    +-- Complete Project
    +-- Exercises