AI Engineering · Offline

Agentic AI (LLM)

Design and build LLM-powered agents — prompting systems, RAG, tools, and workflows that move beyond chat demos into useful automation.

6 Months Offline Intermediate focus

Who this is for

Developers and serious learners who want Agentic AI / LLM engineering skills. Best if you can code at a basic–intermediate level or are ready to ramp quickly offline.

What you’ll learn

LLM fundamentals, prompting, and evaluation
RAG pipelines and knowledge-grounded answers
Agent loops, tools, and multi-step workflows
Building practical agentic applications for business use cases
Safety, cost, and deployment considerations

Curriculum structure

Module 1LLM foundations & prompting systems

Module 2RAG & data grounding

Module 3Agents, tools & orchestration

Module 4Shipping agentic products

CapstoneEnd-to-end Agentic AI application

How you’ll learn

Offline project-heavy learning. You build agents step by step, present demos, and get mentor critique on reliability and product thinking — not just prompts.

Career outcomes

AI Engineer (junior), LLM Developer, Agentic AI associate, Automation + AI hybrid roles.