Founding Applied AI Engineer
Applied AI Consultant
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You’ll see us build real software using the exact workflows we use in our own consulting work. This is not a vibe coding course.
We built this accelerator because we’re engineers first. For the past few years, we’ve been using AI tools to ship production features that used to take weeks in days. We started by sharing these workflows privately with the senior engineers we worked with. We created this accelerator to scale the knowledge to hundreds of developers.
You will learn both:
Synchronous workflows — coding live with AI, structuring state and context, getting clean and correct code out of models.
Asynchronous workflows — background jobs, automated agents, Slack triggers, multi-step processes that run while you focus on something else.
And we cover everything that surrounds coding, too:
Design-doc generation from meeting notes
Debugging with AI
PR review workflows
Custom commands, sub-agents, rules
By the end of the accelerator, you’ll have a repeatable engineering framework you can apply to any codebase, stack, and dev environment. And you’ll walk away having shipped a real feature using these methods.
Trusted by 200+ developers.
This is not a vibe coding course. Learn how to build production-level software with AI tools.
Turn repetitive tasks into custom subject commands that save hours a week
Connect your existing tools using MCP servers to create tickets, test APIs, and manage workflows without context switching
Create planning processes that load context effectively and prevent wasted work through collaborative planning.
Design systems that prevent AI mistakes with agent.md files and infrastructure that catches errors before production.
Delegate background tasks to autonomous agents at work while you are in meetings. Handling documentation fixes and quality improvement.
Build team-wide standards that make AI adoption seamless across your entire engineering organization.
Developers who feel overwhelmed by AI coding tools and want clear guidance on how to be productive.
Team leads evaluating AI tools for their organization who need practical frameworks for deciding which tools provide value.
Engineers tired of hype-driven comparisons who want honest, experience-based insights from someone who uses these tools daily.
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.
Jan
14
Fundamentals
Jan
14
Sync 101
Jan
14
Wrap-up
Jan
15
Async 101
Jan
15
Sync 102
Jan
15
Wrap-Up
Jan
16
Optional: Hackathon Session 1
Jan
16
Optional: Hackathon Session 2
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Discover how Codex transformed OpenAI's workflow and master the essential features driving productivity
Apply proven prompt strategies and hidden capabilities used by OpenAI engineers in real projects
Implement Codex effectively in your development stack using OpenAI's tested approaches
Live sessions
14-20 hrs
Live Coding Session and Hackathons
Wed, Jan 14
5:00 PM—7:00 PM (UTC)
Wed, Jan 14
7:30 PM—9:30 PM (UTC)
Wed, Jan 14
9:30 PM—10:00 PM (UTC)
$950
USD