Personalized 1:1 mentoring to become a job-ready Generative AI & Agentic AI engineer. Learn it. Build it. Get interview-ready.
GenAI • RAG • Agentic AI • LangGraph • MCP • A2A • Fine-tuning • LLMOps • System Design
3
Seats only
8
Weeks
1:1
Mentoring
2
Real projects
Applications close 12 November 2026
Diwali cohort price
₹49,999
per learner · Regular 1:1 mentorship: ₹1,05,000
Only 3 seats · Cohort starts around 15 November 2026
1. Learn
GenAI, RAG, Agentic AI, MCP, A2A, fine-tuning, LLMOps, safety and evaluation. Depth, not just demos.
2. Build
Two end-to-end projects built week by week, each with an architecture review and a code review.
3. Interview
Interview and system design discussion every week, plus resume and LinkedIn polish.
Detailed curriculum
Week 0 onboarding (Python for AI, ML essentials, diagnostic) comes first. Each week ends with a deliverable, a code review and an interview + system design discussion.
Hands-on lab
Text-to-JSON extractor with validation and retries
Interview discussion
How LLMs work, hallucination, prompting vs fine-tuning
System design discussion
Prompt-to-JSON service with validation and versioned prompts
Enterprise Knowledge Assistant
Cited question answering over company documents: ingestion, hybrid retrieval and reranking, evaluation harness and deployment.
Multi-Agent AI Assistant
A supervisor with specialist agents, tools over MCP, A2A handoffs, guardrails and a human approval step.
A 7-step framework and 8 case studies designed together: enterprise RAG for 1M documents, customer-support copilot, AI coding assistant, document processing, multi-agent research assistant, e-commerce semantic search, LLM gateway and a real-time voice agent.
Free bonus access
Free with a free account. Aman tells you exactly which one to use each week.
10 free PDF guides
Free system design practice
18 GenAI & ML system design problems with company tags, difficulty levels and AI feedback on your design.
Practice now →19+ free AI tools
No one can guarantee a job. This program guarantees a mentor's full attention, two real projects and serious interview preparation.
3 of 3 seats left. Closes 12 November 2026.
1
Apply
2
Pay ₹15,000 to reserve
3
Fit call on WhatsApp
4
Start learning