What Makes This Bootcamp Different?
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All 22 sessions of the latest/ongoing curriculum, recorded and released in full. Watch in any order, at any pace, as many times as you like.
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Covers the FULL AI engineering spectrum, from LLM fundamentals, embeddings & vector databases to RAG, agents, multi-agent systems, fine-tuning, context engineering, cost optimization, and cloud deployment. This isn’t just an agentic framework course
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Designed and taught by AI industry experts & engineering leaders with real-world experience building and shipping AI systems at scale
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Master the complete modern AI stack: Python, FastAPI, LangChain, LangGraph, DSPy, MCP, Qdrant, LangSmith, Azure AI, Unsloth, Ollama & more
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Production-first mindset: Cost optimisation, caching, rate limiting, model routing & scaling the engineering challenges that matter in real products
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LLM Fine-Tuning with LoRA/QLoRA + running models locally with Ollama go beyond API wrappers
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Context Engineering & MCP (Model Context Protocol), the newest paradigms that top AI teams are adopting right now
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Guardrails, evaluations, adversarial attacks & compliance - build AI that’s safe for production
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Capstone project with architectural guidance + live project showdown in front of experts
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Live interview prep tips with industry AI leaders to prepare you for real AI engineering interviews
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Integrated soft skills training: AI Product Thinking, Personal Branding, Stakeholder Management, Time Management & Deep Work
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Practical job assistance: Resume building, LinkedIn optimization, interview preparation, everything you need to land the AI engineer role
Overview
What you'll learn in
this Live AI Engineering for Software Engineers Bootcamp
Certified AI Engineer
00:00 on-demand video
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0 Lectures
Certified AI Engineer
00:00 on-demand video
|
0
Lectures
00:00 on-demand video
|
0 Lectures
The Real Comparison
Why Choose Codebasics?
See how we stack up against overpriced bootcamps and random courses.
| Feature | Others | Codebasics |
|---|---|---|
| Learning Structure | Random videos, no path | Step-by-step curriculum |
| Doubt Support | You're on your own | Dedicated doubt solving |
| Industry Projects | Toy data sets | Real company case studies |
| Placement Help | Marketing gimmicks | Genuine job assistance |
| Teaching Methods | Complex, boring | Simplified with cinematic experiences |
| Pricing | ₹1.2L - ₹2.5L with EMI stress | ₹12k - ₹15k, no debt |
The Honest Truth
Most bootcamps sell you a dream. We prefer reality.
No course can legally guarantee you a job—and we won't insult your intelligence by pretending otherwise.
But here is what we can promise: We will give you the structure, the industry-relevant skills, and the portfolio you need to stand out in a crowded market.
You bring the grit; we provide the edge.
The Codebasics Team
Committed to your career
Backed by our 7-Day No-Questions-Asked Refund Policy
May we help you?
Frequently Asked
Questions
Q.1
What is the Inner Circle, and how is it different from regular enrollment?
Q.2
Do I also get the Gen AI & DS Bootcamp?
Q.3
When are the live sessions?
Q.4
When does Cohort 2 officially launch?
Q.5
What if I miss a live session?
Q.6
What happens after the 75 days? Do I lose access?
Q.7
When do I get access after enrolling as an Inner Circle member?
Q.8
What happens in the curriculum enhancement session for Inner Circle members?
The session will be scheduled a few days before the cohort launch on 24th May 2026. The exact date will be communicated in advance. What you share here directly shapes what gets built.
Q.1
Do I need ML experience?
Q.2
I'm a fresher or have less than 2 years of experience. Can I join?
Q.3
Who is this bootcamp designed for?
Q.1
How do I get help if I'm stuck?
Q.2
Is there job assistance?
Q.1
What is the Inner Circle price and when does it close?
Q.2
I already own the Gen AI & DS Bootcamp. What do I pay?
Q.3
Can I purchase only the AI Engineering Bootcamp without the Gen AI & Data Science Bootcamp?
Q.1
What's the refund policy for Inner Circle members?
Q.2
What's the refund policy for Cohort 2 post-launch enrollees?
Q.3
I used a subsidy (my existing Gen AI Bootcamp or individual course purchase). Can I refund my original purchase after enrolling?
Q.4
I used a subsidy and now want to refund the AI Engineering Bootcamp itself. What happens?
Q.1
What system configuration do I need?
• OS: Windows 11
• Processor: Intel Core i7 (10th Gen+) or AMD Ryzen 7 (4th Gen+). An i5 works if you're not focused on local model training.
• RAM: 8GB minimum, 16GB recommended
• Storage: 512GB SSD strongly recommended
• GPU: NVIDIA GTX 1660 or higher for deep learning and GPU-accelerated tasks
This covers all bootcamp work comfortably. You'd only need stronger hardware if you plan to fine-tune small LLMs locally.
Q.1
What is the Inner Circle, and how is it different from regular enrollment?
Q.2
Do I also get the Gen AI & DS Bootcamp?
Q.3
When are the live sessions?
Q.4
When does Cohort 2 officially launch?
Q.5
What if I miss a live session?
Q.6
What happens after the 75 days? Do I lose access?
Q.7
When do I get access after enrolling as an Inner Circle member?
Q.8
What happens in the curriculum enhancement session for Inner Circle members?
The session will be scheduled a few days before the cohort launch on 24th May 2026. The exact date will be communicated in advance. What you share here directly shapes what gets built.
Q.1
Do I need ML experience?
Q.2
I'm a fresher or have less than 2 years of experience. Can I join?
Q.3
Who is this bootcamp designed for?
Q.1
How do I get help if I'm stuck?
Q.2
Is there job assistance?
Q.1
What is the Inner Circle price and when does it close?
Q.2
I already own the Gen AI & DS Bootcamp. What do I pay?
Q.3
Can I purchase only the AI Engineering Bootcamp without the Gen AI & Data Science Bootcamp?
Q.1
What's the refund policy for Inner Circle members?
Q.2
What's the refund policy for Cohort 2 post-launch enrollees?
Q.3
I used a subsidy (my existing Gen AI Bootcamp or individual course purchase). Can I refund my original purchase after enrolling?
Q.4
I used a subsidy and now want to refund the AI Engineering Bootcamp itself. What happens?
Q.1
What system configuration do I need?
• OS: Windows 11
• Processor: Intel Core i7 (10th Gen+) or AMD Ryzen 7 (4th Gen+). An i5 works if you're not focused on local model training.
• RAM: 8GB minimum, 16GB recommended
• Storage: 512GB SSD strongly recommended
• GPU: NVIDIA GTX 1660 or higher for deep learning and GPU-accelerated tasks
This covers all bootcamp work comfortably. You'd only need stronger hardware if you plan to fine-tune small LLMs locally.