The Agentic AI Academy
Blog & Article Hub

From the Turing Test to AGI — understand AI, ML, and deep learning and why they matter right now.

Clear breakdown of the AI family tree — when to use classic ML vs neural networks, with code examples.

Deep dive into tokenization, embeddings, Transformer attention, pre-training, RLHF, and why LLMs hallucinate.

Master the fundamentals — role assignment, context, format specification, few-shot examples, and iteration.

Research-backed techniques that unlock reasoning, accuracy, and reliability in LLM outputs.

Understand direct/indirect injection attacks and build defense-in-depth for production AI systems.

The concept, pipeline, and use cases — why RAG is the most important pattern for enterprise AI.

End-to-end implementation with PDF loading, chunking, ChromaDB, MMR retrieval, and RAGAS evaluation.

All 15 advanced RAG patterns with implementations — from HyDE and hybrid search to GraphRAG and Self-RAG.

The agent loop, four core components, tool use, and a complete minimal working agent from scratch.

Practical guide to all three leading multi-agent frameworks with full code examples and comparison.

The 5 pillars of production agents — error handling, tracing, caching, human-in-the-loop, and deployment.

Master the LCEL pipe operator, prompt templates, conversation memory, tool use, and output parsers.

Build production-grade stateful agents with persistent memory, conditional branching, and human approval gates.

How embedding models work, cosine similarity, and building a semantic search system from scratch.

Honest comparison with code for all four major options and a clear decision framework.

HNSW and IVF algorithms, PQ quantization, Matryoshka embeddings, benchmarking, and production operations.

Build MCP servers in Python with FastMCP, configure Claude Desktop, and connect to any tool via a standard interface.

LiteLLM gateway, Langfuse observability, RAGAS eval, CI/CD for AI, cost optimization, and the complete 2026 stack.