Level up your engineering workflow with AI — from coding assistants to system design acceleration.
5 sections · 17 topics
Built for software engineers who want to integrate AI into their daily workflow. This isn't a theoretical ML course — it's a practical session on using AI tools to write better code faster, accelerate system design decisions, and automate the tedious parts of your job.
You'll work with real engineering scenarios: debugging production issues with AI, generating test suites, reviewing pull requests, and designing architectures with AI as your co-pilot.
Engineers who effectively use AI tools are shipping 2-3x faster than those who don't. But most developers are barely scratching the surface — using AI for simple autocomplete instead of leveraging it for architecture, testing, debugging, and documentation.
This course teaches you the patterns and techniques that top-performing engineering teams use to integrate AI throughout their entire development lifecycle.
Senior engineer with 15+ years of experience at companies like Microsoft. Specializes in AI, system design, and career development.
Senior Software Engineer at Microsoft with 15+ years building large-scale distributed systems. Specializes in AI-assisted engineering, system design, and career development for tech professionals.
per person
Schedule is subject to change. Enrolled students will be notified via email of any updates.
Secure your spot in an upcoming session today.