Complete AI & LLM Engineering Bootcamp
From Zero → Production-Ready AI Engineer. 50 days live, taught by engineers currently shipping AI at MNCs.
50 Days (75 Hrs) · Starts 7th Sep 2026 · Live Online
What This Bootcamp Is
This is not a theory course every concept is immediately applied in code. Over 50 live days, you'll go from Python basics to deploying production-grade AI systems on AWS, using the same techniques that power ChatGPT, Gemini, and Claude.
Who's Teaching You
Taught by 10 practicing DevOps & AI engineers currently working at MNCs — not full-time trainers. They bring real production problems into every session, and update the curriculum as the industry moves.
What you'll learn
Build and deploy RAG systems with vector stores
Design agent workflows with LangGraph and memory
Ship voice and multi-modal AI applications
Integrate tools via Model Context Protocol (MCP)
What you'll build
The exact production workflow you'll build hands-on — from commit to production, with security and observability baked in.
Complete tech stack
Every tool companies actually run in production.
Learn directly from Manoj
Manoj
Senior DevOps & AI Engineer
Manoj brings 11+ years of hands-on experience in DevOps and AI engineering, working across infrastructure, automation, and production AI systems at MNCs. As a core instructor at Quantum Vector, he teaches the same practices he uses at work no recycled theory.
Who this course is for
Product Managers
DevOps Engineers
Backend / Data engineers
Frontend Engineers
Cloud Engineers
Full Stack Developers
QA / Test Engineers
IT Professionals
Data Scientists
Complete Beginners
What's included
50 Live Sessions
1.5 hrs/day direct access to instructors, not pre-recorded videos
Multiple Real Projects
Including a full AI app deployed on AWS EKS
Direct Mentorship
Learn from engineers currently working at MNCs ask real production questions
Completion Certificate
Add it to your resume and LinkedIn
Job-ready portfolio and career guidance
Community Access
Lifetime access to the Quantum Vector engineer community network, get referrals, keep learning
14-Module Curriculum
AWS, RAG, Agents, MCP, Security, and CI/CD updated as the industry evolves
Taught By Practitioners
Built by 10 engineers actively working in the industry, not full-time trainers
Syllabus
59 modules · 50 Days (75 Hrs)
Build the engineering base every AI developer needs.
Python from scratch syntax, data types, OOP, and advanced features
Git & GitHub branching, merging, collaboration, and professional workflows
Docker containerization, images, volumes, and deploying applications
Pydantic type-safe, structured data handling for modern Python apps
Schedule & enrollment
Pay ₹4,999to reserve your seat
Pay ₹5,000 to register. Remaining ₹25,000 to be paid separately our team will reach out to guide you through the rest of the payment.
- 50 Live Sessions
- Multiple Real Projects
- Direct Mentorship
- Completion Certificate
- Job-ready portfolio and career guidance
- Community Access
Next cohort · Starts 7th Sep 2026
Secure payment via Razorpay · Seats are limited
We've hosted workshops with 2,500+ engineers
This course is not for you if…
- ✕ You're looking for a purely theoretical, exam-style course with no hands-on coding
- ✕ You want a self-paced, watch-whenever course with no commitment
- ✕ You're expecting guaranteed job placement rather than skill-building and portfolio projects
- ✕ You're looking for the cheapest possible option rather than depth and mentorship from working engineers
Frequently asked questions
Offer price ₹29,999 (course fee ₹39,999). Enroll with ₹4,999 to reserve your seat.
Complete AI & LLM Engineering Bootcamp
₹4,999 to register