Prompt Engineering
Engineering, not guessing.
The technical deep-dive. Master structured prompting, evaluation, RAG fundamentals, and the patterns behind reliable, production-grade AI output.
What you'll walk away with
- The Engineer's Mindset
- Structured Prompting
- Reliability Patterns
- Evaluation & Testing
- Retrieval (RAG) Basics
- Tools & Function Calling
- Agents & Orchestration
- Production Readiness Review
- Build Lab & Office Hours
- A finished capstone project you can actually use
- A verified TrioNx AI certificate of completion
The lesson plan
1 month · liveThe Engineer's Mindset
Treating prompts as code: versioning, testing, iterating.
Structured Prompting
Few-shot, chain-of-thought, decomposition, and output schemas.
Reliability Patterns
Self-consistency, guardrails, and handling edge cases.
Evaluation & Testing
Building eval sets and measuring prompt quality objectively.
Retrieval (RAG) Basics
Grounding models in your own data, the right way.
Tools & Function Calling
Letting models take actions and use external tools.
Agents & Orchestration
Multi-step agents, when to use them, and how to keep them sane.
Production Readiness Review
Auditing a prompt system against a real-world launch checklist.
Build Lab & Office Hours
Focused build time with direct feedback from Saiful.
Capstone: Ship a Prompt System
Build, evaluate, and document a production-grade prompt pipeline.
Your instructor
Saiful has spent the last decade turning complex technology into something people can actually use — and the last three years teaching AI to over 1,200 students across live cohorts.
Full bio