What you'll build4 outcomes
- 01Engineer effective prompts and context windows for real products.
- 02Build and evaluate RAG workflows and LLM finetuning loops.
- 03Design agentic systems with memory and observability.
- 04Ship capstone experiences ready for live integrations.
Full curriculum16 items · 4 projects
01Module 01 : Prompt Engineering Essentials
02Mini Project 0 : Prompt Engineering
Project
03Module 02 : LLM Finetuning Sprint
04Module 03 : RAG Systems
05Mini Project 01 : LLM Finetuning + RAG Systems
Project
06Module 04 : Context Engineering Masterclass
07Mini Project 02 : Context Engineering
Project
08Module 05 : Agentic Design Patterns
09Module 06 : AgentOps
10Module 07 : Multi Agentic Systems
11Mini Project 03 : Agentic Design Patterns & Memory Systems
Project
12Mini Project 04 Release
ProjectSoon
13Agentic GraphRAG
Soon
14MCP Integration Pipelines
Soon
15Capstone Project I : API Development & LiveKit Integration
ProjectSoon
16Capstone Project II : Telephony Integration & Deployment
ProjectSoon
Instructor
Isuru Alagiyawanna
Lead Instructor & Head of AI Engineering
Isuru leads Zuu Crew AI's technical direction and curriculum design. He has trained students and professionals across practical machine learning, MLOps, and AI engineering systems with a strong emphasis on shipping production-grade work.
University of MoratuwaRobert Gordon University, UKHead of AI Eng, Veracity GroupAWS ML EngineerTensorFlow Certified