Phase 01 — GenAI Foundations
AI, Machine Learning and Generative AI
How each one grew out of the last — and where the LLM sits
How LLMs Work
Transformers, attention, tokenization & emergent intelligence
Prompt Engineering Mastery
Zero-shot, few-shot, CoT, ToT & structured output techniques
Multimodal AI Systems
Vision, audio, video & code — unified model architectures
Fine-Tuning & PEFT
LoRA, QLoRA, instruction tuning — customise any model
Phase 02 — RAG & Knowledge Systems
Vector Databases & Embeddings
Pinecone, Weaviate, pgvector — semantic search fundamentals
RAG Architecture
Naive RAG -> Advanced RAG -> Modular RAG pipelines
Advanced RAG Techniques
Self-RAG, Corrective RAG (CRAG), GraphRAG & hybrid search
LangChain & LlamaIndex
Build production RAG apps with top orchestration libraries
Production RAG Systems
Evaluation, monitoring & optimising RAG at scale
Phase 03 — Agentic AI Engineering
Agentic AI Fundamentals
ReAct loop, tool calling, memory types & cognitive architectures
OpenAI Agents SDK
Build production agents with Swarm, handoffs & guardrails
LangGraph Deep Dive
Stateful graph-based agents with checkpointing & HITL
CrewAI Multi-Agent Systems
Role-playing agent teams, crews, flows & task orchestration
Model Context Protocol (MCP)
Resources, Tools, Prompts & Sampling — the new agent standard
Phase 04 — Advanced Agentic Patterns
Multi-Agent Orchestration
Hierarchical, peer-to-peer & event-driven agent networks
Agent Memory & Persistence
Long-term persistent and structured episodic memory stores
Code & Browser Agents
Build agents that write, run code & control browsers
Agent Evaluation & Safety
Benchmarking, red-teaming & responsible agentic AI
LLMOps & Agent Monitoring
Observability, tracing, cost control & production reliability
Phase 05 — Capstone & Deployment
Building AI Copilots
Domain-specific assistants for coding, research & business
Autonomous Workflow Agents
n8n, Zapier AI & no-code agentic automation pipelines
AI Product Architecture
Design AI-native SaaS — APIs, streaming, caching & costs
Cloud Deployment & Scaling
AWS Bedrock, GCP Vertex, Azure AI — production deployment
Future of Agentic AI
Physical AI, agent economies, AGI timeline & roadmap
Bonus — Claude Code Masterclass
Claude Code Masterclass
The complete guide — Claude, Claude Code, Cowork, connectors, plugins, skills & agentic workflows