3 Days
·Cohort-based Course
This is not a vibe coding course. Learn how to build production-level software with AI tools.
This course is popular
3 people enrolled last week.
3 Days
·Cohort-based Course
This is not a vibe coding course. Learn how to build production-level software with AI tools.
This course is popular
3 people enrolled last week.
Course overview
All students get LIFETIME ACCESS to all materials and recordings!
This is an intensive 3-day accelerator. Days 1 and 2 combine live coding demos with guest speakers from leading AI companies. Day 3 is a hands-on hackathon with real-time support to work on projects at work.
FYI: This October cohort is $600, but we will price the December cohort at $1200!
Students get access to a private Discord community with instructors and AI-forward engineers.
Do you catch yourself asking any of the following questions while coding?
- How do I manage context windows effectively when building complex features?
- What's the difference between coding with AI and just using autocomplete?
- How do senior engineers actually use AI in production environments?
- How do I maintain quality with AI-generated code?
- How do I go from meeting notes to working code without losing context?
If you or your team not maximizing AI in your development workflow, this course is for you. This is a hands-on course for software engineers ready to level up. Ideal for busy folks who don't have the time to spend hours scouring the internet for information
This course will transform how you write code. Get ready for intensive live coding sessions, real feature builds, and immediate application to your work. All sessions are recorded and available to students forever.
Day 1 — Fundamentals of AI Software Engineering
We’ll set the foundation for coding with AI in production. You’ll learn how to turn raw meeting notes into working code without losing context, manage context windows, and apply the Explore → Plan → Execute workflow.
The day ends with a live coding session where we build a complete feature together.
Day 2 — Advanced Workflows & Guest Speakers
We go deep into rules, advanced features, and the Model Context Protocol (MCP).
Guest talks will be from top companies in the AI coding space. More to share soon as we finalize speakers!
We’ll close with an integration workshop to bring these tools together.
Day 3 — Hackathon & Implementation
A full day of applied learning. You’ll work on a real feature from your own backlog, with live support from instructors and peers.
The day wraps with project showcases, structured debriefs, and key takeaways you can immediately reuse at work.
By the end of this course, you'll be shipping features in hours that previously took days, with the confidence to incorporate new AI coding tools as they come out.
01
Engineers, tech leads, and hands‑on managers who want examples of how to build with AI for production use cases.
02
Engineers who don't have hours to spend on YouTube and X trying to figure out what works and doesn't work.
03
Engineers who are skeptical about how AI can help improve development workflows.
Building agent plans to organize complex code changes
Using AI to build out CLIs and scripts to help you be more productive
Seeing how some of the best AI native teams in the world use AI
Supercharging your AI, IDE, or agents with MCPs and other tools
Live sessions
Learn directly from Vignesh Mohankumar & Jason Liu 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
15
Introduction & Foundation
Oct
15
Conversation to Code
Oct
15
Explore, Plan, Execute
Oct
15
Live Coding Workshop
Oct
15
Wrap-up, Q&A
Oct
16
Kickoff & Announcements
Oct
16
Guest Speaker
Oct
16
Guest Speaker
Oct
16
Guest Speaker
Oct
16
Guest Speaker
Oct
16
Guest Speaker
Oct
16
Integration Workshop: Putting It All Together
Oct
16
Hands-on Setup & Troubleshooting
Oct
16
Group Discussion & Wrap-up
Oct
17
Hackathon Kickoff & Orientation (Eastern)
Oct
17
Open Hacking & Instructor Office Hours
Oct
17
Hackathon Kickoff & Orientation (Pacific)
Oct
17
Open Hacking & Instructor Office Hours
Oct
17
Project Showcase (Eastern)
Oct
17
Structured Debrief (Eastern)
Oct
17
Course Wrap-up (Eastern)
Oct
17
Open Hacking & Instructor Office Hours
Oct
17
Project Showcase (Pacific)
Oct
17
Structured Debrief (Pacific)
Oct
17
Course Wrap-up (Pacific)
Paul Klicnik
Kiran Cherukuri
Vignesh is an independent consultant working on Applied AI. He works with companies to get AI shipped to production within 30 days. He also helps upskill engineering teams on AI usage.
Previously, he was a founding engineer at Drift (acquired $1.2b), an early conversational AI startup. He later led the growth engineering team as a staff engineer.
Jason has built search and recommendation systems for the past 6 years. He has consulted and advised a dozens startups in the last year to improve their RAG systems. He is the creator of the Instructor Python library.
Join an upcoming cohort
October Accelerator
$600
Dates
Payment Deadline
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
Join an upcoming cohort
October Accelerator
$600
Dates
Payment Deadline