Master Transformers, RAG architectures, Fine-tuning, and Guardrails to build enterprise GenAI systems.
🔒 Module overview and core resources are locked. Pay and enroll in the cohort to unlock full materials.
🔒 The capstone project involves designing, building, and deploying a production-grade enterprise application. Cohort students receive 1-on-1 code reviews and sandbox hosting credits. Pay and enroll to unlock Capstone instructions.
| Section | Name | Questions | Points | Type |
|---|---|---|---|---|
| A | Core Concepts | 15 Qs | 30 pts | MCQ / Multi-select |
| B | Applied Scenarios | 10 Qs | 30 pts | Scenario-based MCQ + Short Answer |
| C | Debugging & Trace Analysis | 8 Qs | 25 pts | Log & trace root-cause identification |
| D | System Design Question | 1 Qs | 15 pts | Rubric-graded architectural design |
"Your company wants an internal RAG assistant over 50,000 support tickets that must never leak PII in its answers and must cite sources. Outline your architecture: chunking, retrieval, generation, and guardrail approach."
Test your knowledge with sample formative questions from the curriculum question bank.
Interactive quiz testing is available only for enrolled students of this cohort.