12 Weeks
·Cohort-based Course
Become an Applied AI Engineer in 12 Weeks Build RAG pipelines, AI agents, MCP tools, and production-ready AI apps
12 Weeks
·Cohort-based Course
Become an Applied AI Engineer in 12 Weeks Build RAG pipelines, AI agents, MCP tools, and production-ready AI apps
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Course overview
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.
We recommend to book a call with us to see if this bootcamp is the right fit for your goals.
👉 https://calendar.app.google/VWAoaEfJXRMbK8Tx8
WHAT THE JOURNEY FEELS LIKE:
This isn’t a sit-back-and-watch kind of course. It’s a 12-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 14-week journey looks like:
Weeks 1–3: Foundations
Python fundamentals, dev environment setup, transformers & tokenization, prompt engineering
Weeks 4–6: Core Systems
Embeddings, vector databases, RAG pipelines, core agent architectures, LangChain essentials
Weeks 7–9: Deployment & Observability
Full-stack basics (front/back end integration), Git, Docker & deployment essentials, observability (logging, tracing, evaluation, cost optimization)
Weeks 10–12: 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
- 12 live sessions & 13 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.
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
Some coding comfort makes it easier to follow exercises and customize your projects.
A strong interest in exploring AI tools and turning ideas into real projects.
The main thing you need — a willingness to experiment and build.
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 12 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.
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.
Oct
19
Session 1
Oct
26
Session 2
Nov
2
Session 3
Nov
9
Session 4
Nov
16
Session 5
Nov
23
Session 6
Nov
30
Session 7
Dec
7
Session 8
Dec
14
Session 9
Dec
21
Session 10
Dec
28
Session 11
Jan
4
Session 12
Jan
11
Session 13
Kavi T.
Dr. Elizabeth Creighton
Alissa Valentine
Aamir Faaiz
AI/ML Leader | Educator | Ex-Google AI Accelerator
Aki Wijesundara is an AI/ML 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.
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.
Join an upcoming cohort
Cohort 2
$1,599
Dates
Payment Deadline
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.
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:
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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
Sign up to be the first to know about course updates.
Join an upcoming cohort
Cohort 2
$1,599
Dates
Payment Deadline