AI & Programming Course

Complete Course Structure — AI & Programming

68
Total Lessons
15
Modules
5
Levels
🇺🇦 Українська
NOVICEBeginner — 5 modules, 30 lessons
ADVANCEDIntermediate — 5 modules, 23 lessons
EXPERTExpert — 5 modules, 15 lessons

NOVICE

Foundational AI knowledge, first steps with AI coding tools, basic terminology and concepts. Covers Basic Theory Levels 1-2, AI Programming basics, and Models for Coding introduction.

1. What is Generative AI?

9 lessons covering GenAI, LLMs, diffusion models, multimodality, reasoning, foundation models. Browse lessons →

2. Working with AI: Core Concepts

5 lessons on prompts, tokens, context windows, hallucinations, and vibecoding. Browse lessons →

3. AI Development Environment

7 lessons on prompt engineering, smart code suggestions, AI chat in IDE, terminal and browser tools.

4. AI Tools & IDE Comparison

4 lessons comparing AI-first IDEs, popular tools, and news resources.

5. Understanding Models

5 lessons on benchmarks, leaderboards, closed/open-source models, and hardware.

ADVANCED

Deep-dive into neural networks, advanced prompting, MCP, RAG, agents, spec-driven development. Covers Basic Theory Levels 3-4 and advanced AI Programming topics.

6. Neural Networks & Model Training

5 lessons on neural network fundamentals, data pipelines, training, optimization, architectures. Browse lessons →

7. Advanced Prompting & Context Engineering

5 lessons on advanced prompting techniques, context engineering, indexation, spec-driven dev.

8. MCP, Agents & Tool Use

6 lessons covering agents, tool use, AI protocols, MCP architecture, and workshops. Browse lessons →

9. RAG & Applied Frameworks

5 lessons on RAG architecture, tools, libraries, and practical frameworks.

10. Code Review, Automation & Security

2 lessons on AI code review and automation with low-code platforms.

EXPERT

AI horizons and future, production agent systems, multi-agent architectures, voice agents. Covers Basic Theory Level 5, advanced AI Programming, and workshop content.

11. AI Horizons: Future & Philosophy

5 lessons on AGI, ASI, technological singularity, world models, decentralized AI. Browse lessons →

12. AI Safety, Alignment & Ethics

3 lessons on AI safety research, alignment techniques, explainable AI.

13. Production Agent Systems

4 lessons: LangChain/LangGraph, CrewAI/MetaGPT, Dify, agent memory.

14. Agentic Development & Advanced IDEs

5 lessons on agentic code generation, background agents, advanced IDE workshops.

15. AI in Production & Leadership

5 lessons on managing AI agents, security, voice programming, AI CTO strategies.