Advanced Certificate in LLM Engineering
Build language systems that survive contact with real users.
- Duration
- 16 weeks
- Format
- Online · Cohort-based, two live studios a week
- Tuition
- Rs 260,000
- Intake
- March and October cohorts
Overview
Most LLM courses end where the difficulty begins. This certificate starts there. You will build the same assistant three times — naïve, retrieval-augmented, agentic — and measure each against an evaluation set you construct, so that every architectural decision is defended with numbers.
Studios are live and small. Each week pairs a lecture on a concept (context engineering, structured outputs, guardrails) with a lab that breaks something on purpose.
Outcomes
- Design context and retrieval strategies with measured relevance and cost.
- Construct evaluation sets and LLM-as-judge pipelines you can trust.
- Build tool-using agents with permission boundaries and observability.
- Operate LLM features with budgets, caching and incident response.
Curriculum
- 01
Weeks 1–4 · Language models as components
- NLP with transformers (refresher)
- Prompting, structured outputs and caching
- Building the naïve baseline
- 02
Weeks 5–10 · Retrieval and evaluation
- LLM engineering and evaluation
- Chunking, embeddings, hybrid search
- Constructing an evaluation set
- Project: measured RAG assistant
- 03
Weeks 11–16 · Agents and operations
- Tool use, planning and memory
- Safety, guardrails and red-teaming
- Cost and latency engineering
- Capstone: agentic workflow with evals
Courses in this program
LanguageFeatured
LLM Engineering & Evaluation
Build language systems you can measure
4 modules · 11 lessons30h2 enrolled
Dr. Bilal Ahmed
Advanced