Your next role: AI Engineer, Workflow AI Architect, AI QA Architect, RPA and Agentic Automation Developer
Turn your automation experience into practical AI engineering skills. Build LLM applications, RAG systems, AI agents, and intelligent test automation frameworks through guided, hands-on projects.
Learn each one by building it in a graded lab.
Learning paths
Each path puts courses and graded labs in the order that builds a role. One plan opens all of them.
Start here if you work in automation
Use the testing and automation skills you have to evaluate, test and build AI systems.
Build model-powered apps, retrieval and evaluation.
See the pathDesign, build and govern agents.
See the pathFrom Cloud Practitioner to Solutions Architect Professional.
See the pathTest AI systems and automate with Playwright.
See the pathHow it works
Step 1
Every lesson starts from the words you need, a picture and a worked example, before any code.
Step 2
In your own cloud account or a browser simulation, with a budget alert and least-privilege access.
Step 3
The lab checks what you built and tells you what is wrong, not just whether you finished.
Step 4
Explain it in a mock interview scored against what junior to staff engineers are expected to say.
Practice
Six ways to test what you learned, all included in your plan.
US jobs and pay
US pay, openings and growth from official BLS data.
Source: US Bureau of Labor Statistics, Occupational Outlook Handbook (Median pay May 2025 · projections 2025–35 · read October 2026). BLS does not publish pay under these job titles: each role is shown against its closest occupation, at the median or, for senior and architect roles, the top 10%. Openings and growth are for the whole occupation. These are US-wide estimates, not job postings and not a promise of pay.
Why a2ai Labs
An AI Coach on every page that explains, answers and gives hints that get more specific each time. Your notebook saves what you highlight; Python notebooks run code in the browser.
Coding practice with tests in your browser, then the answer step by step: the idea, each step, the complexity and working code.
Try Coding PracticeConcepts, labs, then timed full-length mock exams with scores by domain, from AWS Certified AI Practitioner to Solutions Architect Professional and Google Cloud.
See the pathsReview your lab or architecture, practise an interview or plan your path with the instructor.
Book a sessionPricing
Prices in US dollars, billed monthly, cancel anytime.
Free
$0
All-Access
$29 / month
Career transition program · founding cohort
Automation to AI Engineering: $799 (proposed)
From Automation Engineer to AI Engineer. Twelve weeks, instructor-led, with two portfolio projects.
Bootcamp · founding cohort
Enterprise AI Architecture Bootcamp: $899
From AI Prototype to Enterprise-Ready Architecture. Six weeks, instructor-led, with an architecture capstone.
For teams
Most companies already know what they want to automate. The gap is people who can build it safely, prove it works and run it in production.
Talk to us about team accessLess manual work
Teams learn to find rule-based work worth automating and to build the workflows and agents that take it off people's desks.
Faster, safer releases
Automated tests and quality gates on every change, so speed does not come at the cost of outages.
AI that passes review
Evaluations, guardrails, human approval and audit trails are taught from the first lesson.
Skills you can verify
Graded labs, timed mock exams and scored mock interviews show who can actually do the work.
Team access and early access
Tell us about your team and what you want to automate. We will reply with a plan for your roles, and early sign-ups get first access to new paths and courses.
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