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AI Engineering Bootcamp & Certificate

New
·

14 Weeks

·

Cohort-based Course

Become an Applied AI Engineer in 12 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

By the end of this bootcamp, you won’t just know AI concepts — you’ll have shipped multiple production-ready apps, mastered LangChain, RAG, MCP tools, and observability with LangFuse, and built a capstone project that proves your skills.


You’ll leave with a portfolio recruiters respect, the confidence to design and deploy real-world AI systems, and the practical experience to step into applied AI engineering roles or accelerate your career as a founder, product manager, or software engineer.


We reccomend everyone to book some time with us here: https://calendar.app.google/VWAoaEfJXRMbK8Tx8

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

You’ll move beyond theory and actually ship working projects — from mini apps to a capstone. Each one will be deployed and demo-ready, proving your skills to employers or investors.

Master LangChain, MCP tools, RAG pipelines, AI agents, LangFuse observability

Gain hands-on experience with the core tools of applied AI engineering. By the end, you’ll be comfortable designing, building, and debugging production-ready AI systems.

Learn evals, logging, tracing, and cost optimization

Understand how to track your app’s performance, monitor costs, and run structured evaluations — skills that separate hobby projects from production-grade AI systems.

Walk away with a portfolio-ready GitHub, a capstone demo, and recruiter-ready assets

Graduate with a polished GitHub repo, a Loom demo, and a public LinkedIn showcase — everything you need to land interviews, win clients, or launch your own AI product.

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

12 live sessions • 13 lessons

Week 1

Oct 19

    Orientation & Introduction

    1 item

    Oct

    19

    Session 1

    Sun 10/192:00 PM—3:00 PM (UTC)

Week 2

Oct 20—Oct 26

    Python Fundamentals & Dev Environment

    1 item

    Oct

    26

    Session 2

    Sun 10/263:00 PM—4:00 PM (UTC)

Week 3

Oct 27—Nov 2

    Transformers & Tokenization

    1 item

    Nov

    2

    Session 3

    Sun 11/23:00 PM—4:00 PM (UTC)

Week 4

Nov 3—Nov 9

    Prompt Engineering & LLM APIs

    1 item

    Nov

    9

    Session 4

    Sun 11/93:00 PM—4:00 PM (UTC)

Week 5

Nov 10—Nov 16

    Embeddings & Vector Databases

    1 item

    Nov

    16

    Session 5

    Sun 11/163:00 PM—4:00 PM (UTC)

Week 6

Nov 17—Nov 23

    RAG Basics

    1 item

    Nov

    23

    Session 6

    Sun 11/233:00 PM—4:00 PM (UTC)

Week 7

Nov 24—Nov 30

    LangChain Essentials

    1 item

    Nov

    30

    Session 7

    Sun 11/303:00 PM—4:00 PM (UTC)

Week 8

Dec 1—Dec 7

    Full-Stack Basics

    1 item

    Dec

    7

    Session 8

    Sun 12/73:00 PM—4:00 PM (UTC)

Week 9

Dec 8—Dec 14

    Git, Docker & Deployment Essentials

    1 item

    Dec

    14

    Session 9

    Sun 12/143:00 PM—4:00 PM (UTC)

Week 10

Dec 15—Dec 21

    Observability Lite

    1 item

    Dec

    21

    Session 10

    Sun 12/213:00 PM—4:00 PM (UTC)

Week 11

Dec 22—Dec 28

    Mini Project Kickoff

    1 item

    Dec

    28

    Session 11

    Sun 12/283:00 PM—4:00 PM (UTC)

Week 12

Dec 29—Jan 4

    Mini Project Support & Iteration

    1 item

    Jan

    4

    Session 12

    Sun 1/43:00 PM—4:00 PM (UTC)

Week 13

Jan 5—Jan 11

    Mini Project Demo Day 🎉

    1 item

Week 14

Jan 12—Jan 18
    Nothing scheduled for this week

Week 15

Jan 19—Jan 25
    Nothing scheduled for this week

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

Meet your instructor

Aki Wijesundara, PhD

Aki Wijesundara, PhD

AI/ML leader with a PhD in Machine Learning, experience at Google’s AI Accelerator, and taught 5000+ students about AI engineering

Manu Jayawardana

Manu Jayawardana

Serial founder with multiple AI startup exits, currently Co-founder & CEO of Krybe (AI voice agent startup in London)

A pattern of wavy dots

Join an upcoming cohort

AI Engineering Bootcamp & Certificate

Cohort 1

$1,599

Dates

Oct 19—Jan 25, 2026

Payment Deadline

Oct 18, 2025
Get reimbursed

Course schedule

1-2 hours per week

  • Sundays

    10:00 AM - 11:00 AM EST


  • Oct 19, 2025


  • Weekly projects

    2 hours per week


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

A pattern of wavy dots

Join an upcoming cohort

AI Engineering Bootcamp & Certificate

Cohort 1

$1,599

Dates

Oct 19—Jan 25, 2026

Payment Deadline

Oct 18, 2025
Get reimbursed

$1,599

USD

14 Weeks

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