6-week guided cohort
GenAI / LLM Engineering
A six-week guided, hands-on cohort: design, build, evaluate and prepare a practical AI-enabled application for deployment.
- Pilot batch: 10–12 members
- Duration: 6 weeks, 1 November to 12 December 2026
- Expected effort: 2–3 hrs/week outside the live session
- Includes: one individual mentoring session
- Founding pilot fee: ₹7,999
I’m keeping this within AIEC for now. If you’re genuinely interested, DM me with: 1. your current GenAI/LLM experience 2. what kind of app you’d like to build 3. whether you can commit 2–3 hrs/week
Applications are reviewed. Selected learners receive an invitation and payment link.
Who it is for
Software developers, DevOps and cloud engineers, architects, QA engineers and technical founders who want to learn LLM application development.
Prerequisites
Some programming familiarity. The cohort does not teach software-development basics from scratch. Plan for about 2-3 hours a week plus one live session.
Week by week
- Week 1
Problem identification and architecture
Define one use case, break it into capabilities and decide where AI fits.
Deliverable: Problem statement and architecture sketch
- Week 2
Prompt and context engineering
Understand model interaction, prompt design, context and structured outputs.
Deliverable: Working prompt and context implementation
- Week 3
Build the AI-enabled application
Integrate an LLM API into a small application with backend logic.
Deliverable: Working application MVP
- Week 4
Testing, evaluation and reliability
Create evaluation cases, validate outputs and handle failures.
Deliverable: Evaluation suite and reliability improvements
- Week 5
Security, governance and cost
Review data exposure, API permissions, token usage and operational risks.
Deliverable: Security and cost checklist
- Week 6
Project review and deployment
Review the architecture, implementation, limitations and deployment plan.
Deliverable: Project demonstration and improvement roadmap
By the end, you aim to have
- A working AI-enabled application prototype and source repository
- A short architecture document explaining your engineering decisions
- Basic evaluation cases and failure-handling logic
- A security and cost review
- A deployment or release plan and a next-step roadmap
This is a guided practical cohort. It does not guarantee production readiness or job outcomes.