Starts 24th May · Cohort 2 · Live AI Engineering Bootcamp

AI Engineering Bootcamp
Built Exclusively for Software Engineers

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

★ Inner Circle · UNTIL 17 May, 2026
US$630 → US$840
Includes exclusive live session to enhance the curriculum through your feedback.
Standard · FROM 18 May, 2026
US$840
Cohort begins Sunday, 24 May, 2026
Join Inner Circle - US$630 →
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1.5M+ Subscribers
4.9 from 79K+ reviews
688K+ Learners
By Dhaval Patel, Hemanand & Team
The Inner Circle

Shape the cohort
before it begins.

Enroll by 17 May, 2026. Get more than a price cut, get a seat at the table.

Software engineers who commit early aren't just saving US$210. A few days before Cohort 2 starts, Dhaval and the team host a private curriculum-enhancing live session for Inner Circle members.

You tell us what you need: the tools you work with, the AI problems you're stuck on, the gaps in your current stack. We listen. Then we curate the weekend deep-dives, case studies, and capstone directions around what you asked for.

This isn't a webinar. It's a working session that makes Cohort 2 yours.
◐
Enhance the curriculum
Voice requirements before Day 1. We listen, then fine-tune the curriculum to act on what we hear.
◆
Priced at US$630
US$210 below the standard price. One-time payment.
◉
Locked-in seat
Guaranteed place in the 500-seat cohort before standard registration opens. No waitlist. No uncertainty.
Claim your Inner Circle seat →
Closes Sunday, 17 May, 2026
THE PROMISE

75 days from now, you'd have built and shipped production AI.

Not theory. Built production apps. Deployed them. Made them yours.

8+
Real Projects
1
Capstone
100%
You Build It
Dhaval Patel

Dhaval Patel

Founder, Codebasics · Ex-NVIDIA

1.5M+ YouTube subscribers · 688K+ 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

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

Siddhant Pandey

AI Research Engineer, Codebasics

5+ Years of experience in AI & OpenSource. 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.

Who This Is For

Software engineers who ship real code.

No ML background needed. Just coding experience, curiosity, and drive.

Career Transitioners

Software engineers moving into AI roles with proof.

AI Integrators

Developers adding AI capabilities to existing products.

Tech Leaders

Leads and architects designing AI systems at scale.

Prerequisites

✓ 2+ years of coding experience
✓ Git and version control
✓ Basic SQL knowledge
✓ REST API fundamentals

This is not a beginner course. We skip the basics so you can focus on building real AI systems.

The Framework

Build. Orchestrate. Distribute.

Most bootcamps only teach you to build. We teach all three.

Build

LLMs, RAG, agents, MLOps. The full technical stack.

Orchestrate

Productivity, stakeholders.
Good → great.

Distribute

LinkedIn, GitHub, portfolio. Be visible.

How It Works

Watch. Build. Practice. Ship.

Designed for working professionals.

Step 1

Watch

Self-paced videos

→
Step 2

Build

Weekend live cohorts

→
Step 3

Practice

Labs & exercises

→
Step 4

Ship

Deploy to production

CURRICULUM

12 modules. 75 days.

From LLM foundations to cloud deployment, soft skills to
personal branding.

Start
Ship It
1
2
3
WEEK
WEEK 1
DAY 1
Kickoff: Welcome to AI Engineering 2.0
  • Welcome & team introductions
  • Cohort roadmap & learning flow
  • Dev setup: GitHub, Colab, Claude
  • AI Engineering 2026 market trends
DAY 2
AI Landscape, Python & AI Stack
  • AI landscape
  • Python fundamentals & OOP
  • REST APIs, FastAPI & LLM Integration
  • Layers of AI Engineering stack
WEEK 2
DAY 3
LLMs, Embeddings & VectorDBs
  • Large Language Models: attention, tokens & context windows
  • Embeddings & semantic similarity
  • Vector databases with Qdrant
  • Model economics & selection
DAY 4
RAG, LangChain & Evals Intro
  • RAG pipeline & ingestion flow
  • LangChain + LCEL basics
  • Hybrid search: Vector + BM25
  • RAGAS & evaluation metrics
WEEK 3
DAY 5
Agentic AI Foundation
  • ReAct agent from scratch
  • Tool calling & reasoning loop
  • Memory systems for agents
  • Reliability caveats in production
DAY 6
Agent Orchestration & LangGraph
  • Workflow state machines
  • Conditional branches & loops
  • Routing, guardrails & compliance (HIPAA, GDPR)
  • Trajectory evaluations
4
5
6
WEEK
WEEK 4
DAY 7
LangSmith & AWS Deployment
  • Traces, runs & structured feedback
  • Eval datasets & monitoring
  • Debug deployed AI systems
  • Deploy apps to AWS
DAY 8
Evals & Guardrails in Production
  • Offline / online eval systems
  • Human-in-the-loop review
  • Acute risk vs chronic drift
  • Beyond RAG agent evals
WEEK 5
DAY 9
MCP
  • MCP fundamentals
  • Build MCP servers in Python
  • Connect tools, APIs & data
  • AI interoperability standards
DAY 10
Context Engineering
  • Four pillars mastery
  • Context compression methods
  • Sliding window management
  • Prompt caching hands-on
WEEK 6
DAY 11
Multi-Agent Systems
  • Multi-agent architectures
  • Subgraphs & parallel execution
  • Circuit breakers & fallbacks
  • Workflow architecture design
DAY 12
Multimodal AI Engineering
  • Extract data from PDFs/images
  • Multimodal RAG systems
  • Image + text retrieval
  • Video understanding agents
7
8
9
WEEK
WEEK 7
DAY 13
Personal Branding + Text-2-SQL
  • LinkedIn positioning
  • GitHub portfolio storytelling
  • Text-2-SQL architecture
  • Self-correcting SQL agents
DAY 14
SLMs & Local AI
  • Qwen, Gemma, Phi models
  • Ollama, vLLM, llama.cpp
  • Local deployment patterns
  • Build local AI API endpoint
WEEK 8
DAY 15
Deep Work + Industry Case Study
  • Protect focused time
  • Reduce context switching
  • Production AI failures & lessons
  • Architecture tradeoff analysis
DAY 16
Voice AI
  • Real-time voice stack (Deepgram STT, TTS, LiveKit)
  • Low-latency voice systems
  • Interruptions & silence handling
  • Multi-turn context recovery
WEEK 9
DAY 17
Advanced AI Engineering
  • Cost optimization at scale
  • Semantic caching systems
  • Smart model routing
DAY 18
Fine-Tuning & Synthetic Data
  • Fine-tune vs RAG decisions
  • LoRA & QLoRA training
  • Data filtering & deduplication
  • Synthetic dataset pipelines
10
11
WEEK
WEEK 10
DAY 19
Reinforcement Learning + AI Product Thinking
  • GRPO behind DeepSeek-R1
  • Reward design for agents
  • Identify true AI use-cases
  • Product success metrics
DAY 20
AI Security
  • Prompt injection attacks
  • Hallucination drift risks
  • Context poisoning defense
  • Sandboxed tool execution
WEEK 11
DAY 21
Capstone Project
  • Build complete AI product
  • End-to-end system showcase
  • Production-ready architecture
  • Final polish & review
DAY 22
Interview Preparation + Capstone Project Showcase
  • Present capstone to panel
  • AI system design interviews
  • Portfolio review feedback
  • Live demo & critique
Orchestrate
+ Soft Skills
Mindset · Time · Stakeholders
Orchestrate
+ Wellness & Focus
Mindfulness · Food · Fitness
Distribute
+ Personal Branding
LinkedIn · GitHub · Portfolio
Ship It
+ Capstone + Hackathon
Build · Deploy · Compete
+ Project Portfolio Website
+ LinkedIn Optimizer
+ Interview Practice Platform
+ Career Development Tools
+ Entire Gen AI Bootcamp Included

We update about 20% of the curriculum regularly to keep pace with how the AI industry is moving.

Investment

The earlier you join, the less you pay.

One cohort. One bootcamp. Two pricing windows.

★ Inner Circle
Join until Sunday, 17 May, 2026
US$630 → US$840
Save US$210 + get access to a curriculum-enhancing session
Standard
Join from Monday, 18 May, 2026
US$840
One-time payment
What's included in both
✓75-day intensive, 12 modules
✓Live weekend cohorts
✓8+ projects + capstone
✓Final Showdown Hackathon
✓1 year access to recordings
✓Certificate of completion
✓Gen AI & DS Bootcamp (US$291 value)
✓Refund window - before 31 May, 2026
Join Inner Circle →

Included: Gen AI & DS Bootcamp (US$291 value)

Every new enrollment includes full access to the Gen AI & Data Science Bootcamp 3.0: With Practical Job Placement Support & Virtual Internship at no extra cost. You get both bootcamps for the price of one.

Already own the Gen AI & DS Bootcamp?

You only pay the difference. Your investment of US$291 is fully adjusted — so you pay just US$339 for this bootcamp. Get your adjusted pricing →

No Questions Asked Refund Policy

Enroll with zero risk. Experience the first week of the cohort. If it's not the right fit, request a full refund before 31 May, 2026. 100% money back, no questions asked.

About Subscriptions

This bootcamp may require a Claude or Codex subscription for your development work. These are separate subscriptions that typically cost $20-$100/month. Please factor this in when making your decision.

Need more details?

Get the full curriculum breakdown or speak with someone from our team.

FAQs

Questions?

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.

The Inner Circle is early enrollment for Cohort 2, open until May 10, 2026. Inner Circle members get a dedicated live session a few days before the full cohort launches around May 24th to help enhance the curriculum through their feedback. You’re not just enrolling early, you’re influencing what gets built.

Yes. Every enrollment includes full access to the Gen AI & Data Science Bootcamp at no extra cost. Think of it as your reference library throughout the journey.

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.

Around May 24th, 2026, few days after the Inner Circle session.

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

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

You're securing your seat now. Full bootcamp access opens when Cohort 2 officially launches around May 24th, 2026.

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 Gen AI & Data Science Bootcamp first. Build the foundation, then come back.

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.

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

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

Inner Circle enrollment is open until May 10, 2026. After that date, the price goes up when the full cohort launches. This is the only window to lock in this price.

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

We don't offer a standalone version. The Gen AI & DS Bootcamp 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.

Full refund, no questions asked, if you request by 31st May,2026. After that, no refunds are available.

Full refund if requested by 31st may 2026. After that date, no refunds are available. Check the complete policy: https://codebasics.io/refund-policy

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

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

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.

This is your curriculum enhancement session. All Inner Circle members come together live with the team to share feedback and help enhance the Cohort curriculum.

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.

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

Enroll Now →

500 seats · Cohort 2 begins 24 May, 2026 · Inner Circle closes 17 May, 2026 on request

Inner Circle Price US$630
Extended until 17 May, 2026 on request. US$840 after
Join Inner Circle →
Extended until 17 May, 2026 on request. US$840 after
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