About Gen AI Core Concepts

Our Mission

Welcome to Gen AI Core Concepts, your comprehensive resource for mastering Gen AI and machine learning engineering. This collection contains 212 carefully curated concepts covering the full spectrum of topics in AI/ML engineering — from fundamentals to advanced production topics.

What We Cover

Core Topics

  • ✓ Gen AI Fundamentals & LLMs
  • ✓ Transformer Architecture & Attention
  • ✓ Retrieval-Augmented Generation (RAG)
  • ✓ Prompt Engineering & Optimization
  • ✓ Python for Gen AI & ML Engineering

Advanced Topics

  • ✓ Fine-tuning & PEFT (LoRA, QLoRA)
  • ✓ Vector Databases & Embeddings
  • ✓ MLOps & Production Deployment
  • ✓ AI Agents & Tool Use (MCP)
  • ✓ AI Safety, Evaluation & Ethics

Concept Parts

Part 1Gen AI Fundamentals & Concepts
18 concepts
Part 2Python for Gen AI
16 concepts
Part 3System Design & Architecture
5 concepts
Part 4Practical Coding
6 concepts
Part 5Production & Deployment
5 concepts
Part 6Advanced Topics
4 concepts
Part 7Extended AI Concepts
92 concepts

How to Use This Resource

  1. 1. Browse by Part: Explore concepts organized by topic to focus on specific areas of Gen AI engineering.
  2. 2. Search & Filter: Use our powerful search to find concepts by keywords, tags, or difficulty level.
  3. 3. Study Regularly: Review concepts daily to reinforce your knowledge and deepen your understanding.
  4. 4. Difficulty Progression: Start with Easy conceptual topics, then tackle Medium architecture topics, and finally Hard system design challenges.

Stay Updated

This resource is continuously updated with new concepts and detailed explanations. Last updated: May 3, 2026

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