Master the complete AI Engineering journey in this intensive 24-week offline program designed to take you from AI fundamentals to building production-ready AI applications.
Taught by Sharmin Modi
Curriculum
14 modules, 200 hours
AI/ML foundation, LLMs, AI product architecture
Python, OOP, NumPy, Pandas, APIs, JSON, mini project
Zero/few-shot, CoT, role prompting, optimization
MindLyft AI
Faculty with hands-on industry experience. Instructors bring practical experience into the classroom, so what you learn reflects how these systems are actually built.
A curriculum that tracks the industry. The syllabus covers tools in current production use, rather than material that stopped being current two years ago.
Real data, real projects. Every module builds toward applied work, ending in capstone projects rather than closed-book assessments.
Classroom teaching, not recorded video. All 200 hours are taught in person, so you can ask a question the moment you are stuck.
Guest lectures from working professionals. Regular sessions on what is changing in the field right now.
Talk to a counsellor about dates, fees and whether this programme fits where you are now.
Auth, requests, responses, cost optimization, chatbot build
Chains, memory, agents, tools, retrieval, parsers
Embeddings, chunking, vector search, document Q&A
Pinecone, FAISS, ChromaDB, indexing & similarity
Multi-agent systems, tool calling, MCP, business flows
Routing, auth, deployment, DB, AI backend project
AWS, Azure, CI/CD, hosting AI applications
Zapier, n8n, UiPath, integrations & automation
Chatbot, RAG, voice AI, multi-agent, sales assistant
GitHub, portfolio packaging, AI resume, LinkedIn
Mock interviews, HR rounds, placement guidance
