AI-Assisted Programming Mobile track
Building, extending and operating AI agents in a Swift and Kotlin codebase.
15 h · 4 weeks Mobile developers Swift / Kotlin
AI-assisted engineering courses
Hands-on tracks for mobile, backend, web and QA engineers, four weeks on the platform, two live masterclasses and an AI Lab on a real task from your backlog.
Catalog
Courses catalog
Four tracks, each four weeks long. Open a course to see its modules, stack and deliverables.
AI-Assisted Programming Web track
Building, extending and operating AI agents in a Python web codebase.
15 h · 4 weeks Web developers on Python Python
AI-Powered QA track
Generating, triaging and fixing tests with AI agents in a web, backend and Android QA codebase.
22 h · 4 weeks QA web/backend and QA Android Go, Node.js, Playwright
AI-Assisted Programming Backend Go track
Building, extending and operating AI agents in a Go backend codebase.
15 h · 4 weeks Backend developers on Go Go
Timeline
How it works
Every track and every stream follows the same flow: enrolment, a skill check, Foundation if you need it, four weeks of the main course with two masterclasses and the AI Lab, then two months of platform access and a certificate.
Path
Before startMonth 1Month 2
Direct path
Skill check passed
Skill check
Main course · 4 weeks
Platform access
Certificate
AI Lab
Foundation path
Foundation first
Skill check
Foundation
Main course · 4 weeks
Platform access
Certificate
AI Lab
MasterclassAI LabFoundation is only for those who need it after the skill check.
Week 2
Agentic SDLC
First masterclass
Week 3–4
AI Agent Cost
Second masterclass
From week 4
AI Lab
Places are limited
Three streams
Every stream follows the same format. Places are limited, each stream closes once it is full.
Stream 1
Enrolment openOctober and November 2026
Stream 2
PlannedFebruary 2027
Stream 3
PlannedApril 2027
Live events
Masterclasses and AI Lab
Agentic SDLC: Specs → Quality → Review
The whole stream
How one engineer's agentic practice becomes the whole team's, and what happens to code review once everyone ships faster.
- Write specs an agent can follow
- Set shared quality gates for agent-written code
- Adapt code review to a faster delivery pace
- Turn personal agent setups into team conventions
AI Agent Cost
The whole stream
Measure the token costs of an agentic solution and cut them without losing correctness.
- Measure baseline cost and check it with a quality gate
- Clean up AGENTS.md: less context, clearer instructions
- Optimize the tool layer with proxy MCP or agent hooks
- Compare three runs to see what actually reduced cost
AI Lab
Places are limited
A real task from your own backlog, worked through with an expert alongside.
- Bring a task from your team's backlog
- Solve it with agents together with an expert
- Get feedback on your prompts, setup and result
- Starts about four weeks after your group begins
Register for the program
Tell us who you are and which track fits your work. We'll send the skill check and your group start date to your work email.
FAQ