Course syllabus
Prompt Engineering
Master the craft of working with large language models: clear instructions, few-shot patterns, structured outputs, guardrails, and evaluation loops. You will build reusable prompt libraries and small automations each week—with mentor feedback until your capstone demonstrates production-grade prompt design, not random trial and error.
- Level
- Beginner Friendly
- Duration
- 6 weeks
- Format
- Online
- Pricing
- ₹9,999 · Cohort-based
What you'll learn
- Write system and user prompts that behave consistently across models
- Use few-shot examples, JSON schema outputs, and chain-of-thought responsibly
- Build evaluation sets and score outputs before shipping to users
- Package a capstone prompt playbook for a real use case
Weekly milestones
Week 1
- LLM basics
- Tokens & context
- Instruction design
Week 2
- Few-shot patterns
- Role prompts
- Output formatting
Week 3
- Structured outputs
- JSON mode
- Validation loops
Week 4
- RAG overview
- Grounding prompts
- Citation habits
Week 5
- Eval harnesses
- Regression tests
- Cost & latency
Week 6
- Capstone playbook
- Mentor review
- Portfolio demo