Live Cohort 3

From software engineer to AI engineer in 75 days.

You do not watch this one. You build it.

A 75 days intensive to go from writing code to building and shipping production-ready AI applications.

Inner Circle US$660 → US$840 after 4^th August

This cohort includes AI Engineering & Data Science Bootcamp 4.0 worth US$345

Enroll now → Download Brochure

Proof, before the pitch

Engineers who actually shipped with us.

Real reviews from Cohort 1 and Cohort 2. They did not finish a course, they finished a portfolio.

Dinakara Shetty Senior Engineer / Senior Manager, FICO

"As a software engineer with over two decades of experience, stepping into a new domain can sometimes be challenging, but my experience with the Codebasics AI bootcamp has been phenomenal. What really set this course apart was the focus on hands-on experience, writing the capstone project completely from scratch solidified my learning in a way theory alone never could."

Manal Kariapper Consultant, Deloitte Digital

"I had an excellent experience attending Codebasics' Live AI Engineering Bootcamp. The course content was very well structured, and the instructors were highly effective at explaining the core concepts while also sharing valuable nuggets of wisdom. The program kept me accountable through relevant project assignments, which helped build a real sense of accomplishment."

Bikash Nayak Senior Software Analyst, DXC Technology

"The AI Engineering Bootcamp by Codebasics team was an amazing experience for me. The team truly put their best effort into teaching complex AI concepts using very simple and easy-to-understand analogies. Before joining the bootcamp, I had only heard terms like AI, GenAI, LLMs, LangChain, and Transformers, but I had no real understanding of what they actually were or how AI works behind the scenes. After joining this bootcamp, I can confidently say that I now understand AI much better."

1.5M+ YouTube Subscribers

5 ★ 7000+ reviews

716K+ Learners

By Dhaval Patel, Hemanand & Team

Learn from people who ship

Three practitioners. One split: Build. Orchestrate. Distribute.

Dhaval Patel

Founder, Codebasics · Ex-NVIDIA

1.5M+ YouTube subscribers · 95K+ learners · 17+ years of experience in AI & data.

Teaches the core Build modules: LLM fundamentals, RAG, multi-agent systems, AI system design, and the capstone project.

Hemanand Vadivel

Co-founder, Codebasics · Ex-Edgewell

10+ years in analytics and leadership · Built and scaled teams across international markets at Edgewell.

Teaches the Orchestrate and Distribute modules: productivity systems, stakeholder management, LinkedIn strategy, and personal branding.

Siddhant Pandey

AI Research Engineer, Codebasics

5+ years of experience in AI & open source. Hands-on AI Engineer building production systems daily.

Leads live weekend cohorts and practice labs: hands-on coding, project walkthroughs, debugging, and real-time problem solving.

The stack

Every tool real AI engineers use in 2026.

Python Core

Groq Fast Inference

Qdrant Vector DB

FastAPI Backend

HuggingFace Models + Data

semantic-router Routing

LangChain LLM Framework

LangGraph Orchestration

LangSmith Observability

RAGAS Eval Framework

Claude LLM

MCP Protocol

AWS Cloud Deploy

Ollama Local AI

Unsloth Fine-tuning

vLLM Inference

Docling Doc Parsing

LiteLLM Proxy & Gateway

LiveKit Voice AI

Antigravity Agentic IDE

Week by week

75 days. 22 live sessions. One shipped portfolio.

Session 1 · Kickoff and Fundamentals

AI landscape · Python fundamentals (functions, files, classes & objects) · APIs & decorators

Output: Your first LLM-powered app (Streamlit + Groq)

Session 2 · LLMs, Embeddings & Transformer Architecture

How an LLM works · Transformer architecture · Embeddings & semantic similarity · Key LLM parameters

Output: Embeddings & semantic similarity, in depth

Session 3 · Vector DBs & RAG

Intro to vector DBs · Qdrant hands-on · RAG in pure Python · Qdrant advanced ops

Output: Your first RAG pipeline

Session 4 · LangChain, Docling & Chunking

LangChain intro · RAG in LangChain · Docling document parsing · Hierarchical chunking

Output: LangChain RAG pipeline with smart chunking

Session 5 · Advanced RAG Techniques

Vector & vectorless RAG · Hybrid RAG · SQL RAG · Graph RAG

Output: Advanced RAG, hybrid search, reranking, MediBot project

Session 6 · Agentic AI Foundations

What are AI agents? · Tool calling & ReAct loop · First agent with LangChain · Routing with semantic-router · Memory in agents

Output: Your first tool-calling agent

Session 7 · Agent Orchestration & LangGraph

Intro to LangGraph · Workflows · Conditional branches & loops · ReAct loop in LangGraph

Output: ReAct agent rebuilt in LangGraph

Session 8 · Multi-Agent Systems

Intro to multiagent systems · Subagents and hand-offs · Multi-agent architectures

Output: GitHub agent: a multiagent system for GitHub automation

Session 9 · Evals, Guardrails & Observability

Online vs offline evals · Evaluating RAG · Evaluating agents · Guardrails · Interpreting evals

Output: Add an eval harness to your projects

Session 10 · Multimodal AI

Architecture of a multimodal model · Extract data from PDFs/images · Multimodal RAG

Output: Multimodal RAG extracting structured data from documents

Session 11 · Deployment on AWS

Intro to AWS's agent stack · Deploying LangChain on AgentCore · AgentCore services

Output: Your agent deployed on AWS AgentCore

Session 12 · MCP

What is Model Context Protocol · MCP architecture · Building MCP servers · Building MCP clients

Output: Your first MCP server & client

Session 13 · Context Engineering

Importance of context · Context engineering fundamentals · Improving context propagation · Hands-on with deepagents

Output: Compound AI system (LangGraph multi-agent + MCP + RAG) with LangSmith

Session 14 · Fine-Tuning & Local AI

Fine-tune vs RAG · LoRA & QLoRA · Synthetic dataset pipelines · SLMs · Ollama

Output: Fine-tuned SLM running locally with Ollama

Session 15 · Capstone Discussion & Showcase

Scoping capstone ideas · Showcase of assignments so far

Output: Your capstone project plan

Session 16 · AI Product Thinking & RL

Turning AI capabilities into products · Thinking like an AI product builder · RL intuition · Reward design

Output: Product thinking & RL notes

Session 17 · Advanced AI Engineering & Security

Cost optimization at scale · Semantic caching · Smart model routing · OWASP Top 10 for AI · Adversarial defense

Output: AI security & cost optimization playbook

Session 18 · Stakeholder Management & System Design

Managing stakeholder expectations · How an AI system differs · AI system design patterns · Production caveats

Output: AI system design patterns reference

Session 19 · Voice AI

Real-time voice stack · Low-latency voice · Interruptions & silence handling · Multi-turn context recovery

Output: Voice agent (<800ms) or multimodal agent

Session 20 · Inference Engineering

Runtime optimizations: batching, caching, quantization, speculation · Infra: routing, load balancing, autoscaling · Serving with vLLM

Output: Local SLM (Qwen 2.5-3B) as a production REST API with vLLM

Session 21 · Personal Branding & Mock Interview

LinkedIn & Twitter positioning · GitHub portfolio storytelling · Live mock interview with Dhaval & Sid

Output: Personal brand & interview readiness checklist

Session 22 · Final Project Showcase

Present your capstone to peers, mentors & industry guests

Output: Capstone demo day

Production-Ready AI Projects You'll Build. Every project becomes part of your GitHub portfolio.

MediBot

A production-ready healthcare AI assistant that understands medical documents, retrieves relevant information with RAG, and generates citation-backed responses with enterprise-grade reliability.

GitHub Agent

An autonomous AI engineering assistant that understands repositories, reviews pull requests, answers codebase questions, creates issues, and automates developer workflows using GitHub tools.

Eval Pipeline

An AI evaluation and guardrail platform that measures response quality, detects hallucinations, applies safety checks, and monitors production AI systems before deployment.

Compound AI System

A production-grade multi-agent system where specialized agents collaborate using shared memory, planning, tool calling, MCP servers, and retrieval to solve complex business workflows.

Voice / Multimodal Agent

A real-time voice and multimodal AI assistant that understands speech, documents, and images while maintaining natural, low-latency conversations.

Local SLM Deployment

An optimized Small Language Model deployed locally with high-performance inference, intelligent routing, and production-ready REST APIs for private AI workloads.

Capstone Project

Design, build, deploy, and present an end-to-end production AI application, combining everything learned throughout the cohort into an industry-ready portfolio project.

The Codebasics promise

Premium AI training, without the premium price.

Other paths can work. Here is exactly what you get from each.

What you get	Self-study	Other live bootcamps	Our live cohort
Live, mentor-led sessions	✗	✓	✓
Real projects shipped to GitHub	Rarely	Sometimes	6+1 projects
The current 2026 agent stack	On your own	Often dated	✓
Job assistance	✗	✓	✓
Investment	Your time	₹2,00,000+	US$660

Investment

The earlier you join, the less you pay.

Inner Circle learners enroll at a lower price until 4^th August. Standard pricing applies later. Cohort begins on 9^th August.

Save US$180 · until 4^th August

US$660 → US$840

One-time payment · EMI available · Standard price after 4^th August

What's included

75 days live cohort, 22 live sessions
6+1 projects shipped to your GitHub
The full 2026 AI engineering stack
Job assistance & interview prep
1 year access to all session recordings
Lifetime version access + certificate

Join Inner Circle US$660 → Download Brochure

Secure checkout · UPI, cards, net banking · Razorpay · No-questions refund policy

The same curriculum, 22 live sessions, capstone, and faculty for everyone.

Everything you'd reasonably want to know

Questions?

What do I do on weekdays, after the weekend live sessions? +

These are long, technical sessions - what you learn, you need to revise, apply, and build on your own during the week. That takes time, but you're not doing it alone: the Discord stays active all week for doubt-clearing.

Do I also get the AI Engineering & Data Science Bootcamp 4.0? +

Yes. Every enrollment includes full access to the AI Engineering and Data Science Bootcamp 4.0, worth ₹18,000, at no extra cost.

When are the live sessions? +

Saturdays and Sundays, 4–7 PM IST. Sessions are fully live and interactive, with a strong focus on hands-on practice, real-time problem solving, and Q&A. Recordings are available for revision.

When does Cohort 3 officially launch? +

On August 9th, 2026.

What if I miss a live session? +

All live sessions are recorded and uploaded within 24–48 hours. You can watch them at your own pace.

What happens after the 75 days? Do I lose access? +

No. You keep access to all recordings for 1 year from your enrollment date.

Do I need ML experience? +

No. If you have at least 2 years of software engineering or coding experience, you're ready. We cover AI from an engineering lens.

I'm a fresher or have less than 2 years of experience. Can I join? +

We strongly advise against it. This bootcamp moves fast and assumes you can already write code confidently. If you're early in your career, start with the AI Engineering & Data Science Bootcamp first. Build the foundation, then come back.

Who is this bootcamp designed for? +

Software engineers moving into AI roles, developers adding AI to existing products, and tech leads or architects designing AI systems. If you write code for a living and want to build real AI systems, this is for you.

How do I get help if I'm stuck? +

You can ask questions anytime on Discord. During live sessions, instructors solve problems in real time. You're never stuck alone.

Is there job assistance? +

The AI Engineering Bootcamp focuses on building your skills, portfolio, and online presence. The AI Engineering & DS Bootcamp (included with your enrollment) has dedicated job assistance: resume builder, LinkedIn optimization, portfolio website, and mock interviews.

I already own the AI Engineering & DS Bootcamp 4.0. What do I pay? +

The amount you paid for the AI Engineering & DS Bootcamp 4.0 is fully adjusted and deducted from your AI Engineering Bootcamp price.

Can I purchase only the AI Engineering Bootcamp without the AI Engineering & DS Bootcamp 4.0? +

We don't offer a standalone version. The AI Engienering & DS Bootcamp 4.0 is intentionally bundled as a foundational reference throughout the program. If you already own it, you're eligible for a reduced price and your earlier purchase is not wasted.

I used a subsidy (my existing AI Engineering & DS Bootcamp 4.0 or individual course purchase). Can I refund my original purchase after enrolling? +

No. Once your existing purchase is applied as a subsidy to reduce your price, that original purchase becomes non-refundable.

I used a subsidy and now want to refund the AI Engineering Bootcamp itself. What happens? +

You get back the amount you actually paid for the AI Engineering Bootcamp. Your original purchase stays intact and you keep access to it.

What system configuration do I need? +

Recommended: • 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.

What is the Inner Circle, and how is it different from regular enrolment? +

The Inner Circle is early enrolment for Cohort 3, open until August 4th, 2026.

When do I get access after enrolling as an Inner Circle member? +

You're securing your seat now. Full bootcamp access opens when Cohort 3 officially launches around August 9th, 2026.

What's the refund policy for Cohort 3 post-launch enrollees? +

Full refund if requested by 16th August 2026. After that date, no refunds are available. Check the complete policy: https://codebasics.io/refund-policy

What's the refund policy for Inner Circle members? +

Full refund, no questions asked, if you request by 16th August,2026. After that, no refunds are available.

What is the difference between AI Engineering and Data Science Bootcamp 4.0 and the AI Engineering Bootcamp? +

AI Engineering & DS Bootcamp 4.0 is self-paced and beginner-friendly, covering AI and Data Science fundamentals from scratch. AI Engineering Bootcamp is a fast-paced, live cohort for experienced software engineers with 2+ year of experience, that assumes strong programming fundamentals and focuses on AI architecture, system thinking, production engineering & shipping real-world AI systems.

What if I have already bought the AI Engineering and Data Science Bootcamp 4.0? +

You only pay the difference to upgrade to the AI Engineering Bootcamp Cohort 3. Your existing investment carries forward.

Cohort 3 · Starts 9^th August

The best time was yesterday. The second best is now.

Enroll now →

US$660 → US$840 after 4^th August

Enroll now →