If you’ve been experimenting with AI tools but want to go further, this bootcamp will help you make the leap from tinkering to shipping real systems.

By the end of this program, you won’t just know AI concepts - you’ll have built and deployed multiple production-ready apps, mastered LangChain, RAG pipelines, MCP tools, and observability with LangFuse. You’ll also complete a capstone project that proves your ability to design, deploy, and scale real AI systems.

You’ll graduate with:

- A recruiter-ready portfolio that signals credibility

- Confidence to build end-to-end AI applications in real-world environments

- Practical skills that accelerate your career as an AI engineer, founder, or product manager

This is a hands-on, fast-paced program designed for builders who want to move fast, push themselves, and come out stronger.

WHAT THE JOURNEY FEELS LIKE:

This isn’t a sit-back-and-watch kind of course. It’s a 4-week sprint where you’ll learn the way real engineers do - by building. Each week blends live sessions, peer accountability, and guided projects. You’ll push code, test ideas, and get feedback that keeps you improving.

You can expect to:

- Collaborate with ambitious peers who push you to grow

- Learn by shipping - every module leads to tangible projects

- Stay accountable through live workshops, peer reviews, and instructor feedback

- Balance intensity with support - yes, it’s challenging, but you’ll never be on your own

By the end, you’ll not only have skills - you’ll have lived the process of becoming an applied AI engineer.

COURSE ROADMAP

Here’s what your 4-week journey looks like:

Section 1: Foundations

Python fundamentals, dev environment setup, transformers & tokenization, prompt engineering

Section 2: Core Systems

Embeddings, vector databases, RAG pipelines, core agent architectures, LangChain essentials

Section 3: Deployment & Observability

Full-stack basics (front/back end integration), Git, Docker & deployment essentials, observability (logging, tracing, evaluation, cost optimization)

Section 4: Capstone & Wrap

Design, iteration, feedback, and a public demo day to showcase your final project

Final review, polish, and optional guest workshops

Core Topics & Modules

• Python fundamentals & environment setup

• Transformers & tokenization

• Prompt engineering & LLM APIs

• Embeddings & vector databases

• RAG (retrieval-augmented generation) pipelines

• LangChain essentials

• Full-stack integration

• Git, Docker & deployment

• Observability & cost optimization

• Mini-project phases (kickoff → iteration → support)

• Capstone & demo showcase

The Course Also Includes

- 4 live sessions & 4 lessons with Aki Wijesundara, PhD and Manu Jayawardana

- Lifetime access to all recordings and materials

- Cohort community of motivated peers to learn alongside

- Certificate of completion you can share on LinkedIn and with employers

- Maven Guarantee - full refund eligibility until halfway point

WHY THIS BOOTCAMP IS DIFFERENT

Unlike other AI courses, this program is built for builders:

- Project-first learning - no endless lectures; every lesson drives toward your deployed app

- Real applications, not toy demos - you’ll ship things you can show recruiters & employers

- Cohort energy & accountability - work alongside ambitious peers in live workshops

- Expert feedback - get guidance and reviews from instructors who’ve shipped AI systems

- Practical, production focus - logging, cost optimization, and scaling are part of the curriculum

By the end, you’ll have not only the skills, but the evidence that you can deliver in real-world environments.

WHO WILL BENEFIT MOST

This program is built for people who want to go beyond toy AI demos and become applied AI engineers.

You’ll benefit most if you are:

- A software engineer looking to level up into AI engineering

- A product manager or tech lead who wants to own AI product development

- A career switcher with coding experience who wants to break into AI roles

- A developer or builder curious about LangChain, RAG pipelines, agents, and observability

Prerequisites:

- Basic familiarity with Python or JavaScript

- Curiosity, willingness to experiment, and capacity to learn fast

Students & Alumni

- Our learners come from some of the most innovative companies in the world -- from top tech giants to fast-growing startups.

Students & alumni are from:

Google, Meta, AWS, OpenAI, NVIDIA, Uber, Amazon, Microsoft, Netflix, Shopify, Airbnb, Stripe, Coinbase, Adobe, Apple, Spotify, GitHub, Salesforce - and many more.

✨ This isn’t just a course — it’s a community of ambitious builders who’ve trusted us to accelerate their careers in AI.

WHO THIS IS NOT FOR

This bootcamp isn’t for everyone. You should reconsider if:

You expect 1:1 coaching on every detail

You prefer a slow, drip-paced program instead of an immersive sprint

You believe you already know everything about AI engineering

You want a theory-only course instead of a hands-on, project-driven experience

This program is intense, practical, and fast-paced - it’s for builders ready to get uncomfortable, push themselves, and come out stronger.

Recap:

During this bootcamp, you’ll be immersed in rapid, hands-on learning - moving fast, building relentlessly, and leveling up your skills in weeks, not years. My goal is to help you drastically improve your competence and confidence in a condensed period of time.

By the end, you’ll:

- Have real projects and a polished capstone you can showcase

- Gain a recruiter-ready portfolio and certificate to prove your skills

- Build the confidence and momentum to take on applied AI roles or accelerate your current career

Then, you’ll go back to work and keep compounding on this foundation with continued practice.