AI Engineering Bootcamp & Certificate

·

4 Weeks

·

Cohort-based Course

Become an Applied AI Engineer in 4 Weeks Build RAG pipelines, AI agents, MCP tools, and production-ready AI apps

Previous students from

Google
Meta
Amazon Web Services
OpenAI
NVIDIA

Course overview

From Curious Builder to Applied AI Engineer

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.

Who is this course for

01

Product Managers and aspiring AI engineers looking to break into applied GenAI roles.

02

Software engineers wanting to level up with LangChain, RAG, and agents

03

Career switchers looking to move into AI-focused engineering

Prerequisites

  • Basic Python/JavaScript familiarity

    Some coding comfort makes it easier to follow exercises and customize your projects.

  • Enthusiasm for AI

    A strong interest in exploring AI tools and turning ideas into real projects.

  • Curiosity to learn fast

    The main thing you need — a willingness to experiment and build.

What you’ll get out of this course

Build & deploy production-ready AI apps

Go beyond tutorials and toy projects. You’ll ship real working systems - from small apps to a polished capstone - each one deployed, demo-ready, and proof of your ability to deliver.

Master the core AI engineering stack

Get hands-on with LangChain, MCP tools, RAG pipelines, AI agents, and LangFuse observability. By the end, you’ll be comfortable designing, building, and debugging production-grade AI systems.

Learn the “production secrets”

Track performance, monitor costs, run evaluations, and optimize systems like a pro. These are the skills that separate hobby projects from scalable AI applications.

Graduate with recruiter-ready assets

Leave with a polished GitHub repo, a demo video, and a LinkedIn showcase — everything you need to land interviews, impress employers, or win clients.

Confidence to step into applied AI roles

Through 4 weeks of accelerated practice, you’ll gain the competence and confidence to build and deploy AI systems at work, start your own AI projects, or move into AI engineering roles.

A network of ambitious peers

Join a cohort of builders who are just as driven as you. You’ll gain not only feedback and accountability but also a professional network you can lean on after the program.

What’s included

Live sessions

Learn directly from Aki Wijesundara, PhD & Manu Jayawardana in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

4 live sessions • 22 lessons

Week 1

Dec 5—Dec 7

    Foundations & AI Mindset

    • Dec

      5

      Week 1 — Foundations & AI Mindset

      Fri 12/54:30 PM—5:30 PM (UTC)
    6 more items

Week 2

Dec 8—Dec 14

    Prompt to Prototype

    6 items

    Dec

    12

    Week 2 — Prompt to Prototype

    Fri 12/124:30 PM—5:30 PM (UTC)

Week 3

Dec 15—Dec 21

    Connect & Retrieve

    • Dec

      19

      Week 3 — Connect & Retrieve

      Fri 12/194:30 PM—5:30 PM (UTC)
    5 more items

Week 4

Dec 22—Dec 27

    Ship & Showcase

    • Dec

      26

      Week 4 — Ship & Showcase

      Fri 12/264:30 PM—5:30 PM (UTC)
    5 more items

Post-course

What students are saying

What people are saying

        The AI training approach is outstanding. Our team learned to build practical AI solutions that we could implement immediately in our educational platform. The hands-on methodology made complex AI concepts accessible to our entire development team.
Kavi T.

Kavi T.

CEO of Tilli Kids / Stanford PhD
        Not only are the instructors experts in their field, they're incredibly skilled at breaking down complicated AI concepts so students can grasp them quickly. Anyone interested in building foundational AI knowledge should take this training - it's worth the investment.
Dr. Elizabeth Creighton

Dr. Elizabeth Creighton

Founder & Principal at Brazen
        The instructors help break down AI model development and clearly have plenty of experience to help others learn about complex concepts like infrastructure setup. The practical approach to NLP and LLM applications was exactly what our team needed.
Alissa Valentine

Alissa Valentine

NLP & LLM Real World Data Scientist
        I sent my team through this training for upskilling, and the results have been remarkable. Within weeks, they became much more efficient at building automations and deploying AI agents at work. This program bridges the gap between theory and practice and it’s had a real impact on our productivity.
Aamir Faaiz

Aamir Faaiz

CEO of Bayseian

Meet your instructor

Aki Wijesundara, PhD

Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Aki Wijesundara is an AI leader with a PhD in Machine Learning and extensive experience mentoring startups at Google’s AI Accelerator. With a career spanning both research and applied AI, Aki has taught 5,000+ students worldwide how to design and deploy production-ready AI systems.


He has worked across cutting-edge areas of applied AI, from LangChain and RAG pipelines to observability and large-scale deployment. As a researcher and educator, Aki bridges the gap between theory and practice, making complex systems approachable and actionable for engineers, founders, and product leaders.


Aki is also a frequent speaker and advisor to organizations adopting AI, helping them transition from experimentation to production at scale.

Manu Jayawardana

Manu Jayawardana

AI Advisor | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum

Manu Jayawardana is a serial entrepreneur with multiple AI startup successes. He exited Rise AI, a fintech app with over 35,000 users, to a private investor, demonstrating his ability to build and scale impactful products.


He is also the Co-Founder of Snapdrum, an AI consultancy helping companies integrate and automate their businesses using AI. Through Snapdrum, Manu has worked with top startups and enterprises across the U.S., Europe, and Asia, advising on automation, product development, and AI strategy.


Currently, Manu is the Co-Founder & CEO of Krybe, an AI voice agent startup in London transforming how businesses automate customer interactions. His experience spans fundraising, scaling products, and leading teams to deliver production-grade AI solutions adopted globally.

A pattern of wavy dots

Join an upcoming cohort

AI Engineering Bootcamp & Certificate

Cohort 4

$999

Dates

Dec 5—27, 2025

Payment Deadline

Dec 6, 2025
Get reimbursed

Course schedule

1-2 hours per week

  • Sunday Session

    ⏱ 1–2 hours per week

    👉 Weekly live session where we teach, build, and review together. All sessions are recorded if you can’t make it live.

  • Weekly projects

    2 hours per week

    Practical, portfolio-ready projects that compound into your final capstone. Each week you’ll ship something usable - proof of your growing skills.

Free resource

AI Engineering Starter Toolkit

Kickstart your AI engineering career with this comprehensive starter toolkit! Get the essential tools, frameworks, and step-by-step roadmap that our successful graduates used to land roles at top startups.

Inside you'll find:

  • Must-have AI tools & technologies
  • Complete learning roadmap (beginner to job-ready)
  • 5 hands-on project templates
  • Industry insights & hiring trends
  • Curated resource library
  • Career transition guide
  • Perfect for students, developers, and career changers entering AI. This toolkit has helped hundreds break into AI engineering!

Get this free resource

Free resource

Top Vibe Coding Tools & Their Differences

This guide helps you choose the right coding environment for AI engineering — from prototyping in Colab to deploying agents in Cursor or VS Code. Discover how modern “Vibe Coding” tools blend AI, collaboration, and speed to boost productivity.


Inside you’ll find:

Top AI Coding Tools — Cursor, Windsurf, Copilot, VS Code & more

Pros & Use-Cases — Know which IDE fits your goals

Role-Based Picks — Best setups for engineers, founders & students

Quick Setup Checklist — From install to first project

Tool Chooser Framework — & much more!

Get this free resource

Free resource

Prompt Engineering Starter Toolkit

Build the most in-demand AI skill of 2025.


Learn the frameworks and techniques top engineers use to design intelligent systems, debug outputs, and scale real-world AI applications. Get hands-on tools to communicate effectively with models like ChatGPT and Claude.


Inside you’ll find:

• Core prompt frameworks (Zero-shot, Few-shot, Chain-of-Thought)

• 6 principles of effective prompting

• Real-world debugging & troubleshooting guide

• Plug-and-play prompt templates

• Production-ready best practices

• Reflection sheet + curated AI resources

Get this free resource

Free resource

Open-Source AI Models & Tools Directory — 2025 Edition

This directory is your ultimate reference to explore, compare, and choose the best AI models, frameworks, and tools shaping applied AI in 2025 — trusted by engineers, founders, and builders creating real systems.

Inside you’ll find:

Top Foundation Models — LLaMA 3, Mistral, Falcon, Gemma, Qwen 2

Embeddings & Vector DBs — FAISS, Qdrant, Weaviate, Chroma

Agent Frameworks — LangChain, LlamaIndex, Autogen

Deployment Tools — Docker, FastAPI, Kubernetes

Observability Stack — LangFuse, LangSmith, Helicone

Ecosystem Links — Hugging Face, GitHub

Get this free resource

Free resource

AI Readiness Quiz & Scorecard

This self-assessment helps you measure your current skills and identify the exact steps to become production-ready — whether you’re a student, engineer, or founder.


Inside you’ll find:

Question Readiness Quiz — Assess coding, tools, and AI fundamentals

5-Pillar Scorecard — Coding, ML concepts, tools, applied practice & deployment

Scoring Rubric — Beginner, Intermediate, or Applied AI-Ready

Personalized Next Steps — Tailored actions for your skill level

7-Day Fast-Track Challenge — & much more!

Get this free resource

Free resource

Crack the AI Engineering Interview — 2025 Complete Guide

This guide reveals the insider frameworks, technical Q&As, and 30-day prep plan used by real AI engineers to succeed in interviews at top startups and tech companies. Learn how to think, build, and communicate like a professional AI developer.


Inside you’ll find:

• Sample interview questions & answers

• Core skill map: coding, RAG, agents, deployment & observability

• Real-world systems design examples

• Behavioral & cultural-fit frameworks (STAR method)

• 30-day interview prep roadmap

• Salary benchmarks for 2025 (US & UK) and much more.

Get this free resource

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

Stay in the loop

Sign up to be the first to know about course updates.

A pattern of wavy dots

Join an upcoming cohort

AI Engineering Bootcamp & Certificate

Cohort 4

$999

Dates

Dec 5—27, 2025

Payment Deadline

Dec 6, 2025
Get reimbursed

$999

USD

·

4 Weeks