Live AI career upgrade for QA engineers
QA Engineer→AI Engineer
Turn testing and automation experience into production AI engineering capability. Your evaluation instincts are the advantage — not something you leave behind. Live, project-based, and built for experienced QA engineers.
Live · Project-based · Experience required · Limited cohort
This is for you if…
This track is built for you
- ✓You currently work as a QA engineer
- ✓You already understand test automation, APIs and CI/CD
- ✓You have experimented with AI but haven't built production systems
- ✓You want practical skills rather than another theoretical course
- ✓You want work you can demonstrate in interviews or at your current company
You are not starting from zero. We build on the experience you already have.
The transformation
QA Engineer → AI Engineer
Where you are today
QA Engineer
You can:
- ✓ Automate test suites and APIs
- ✓ Hunt edge cases and failure modes
- ✓ Run CI/CD and release gates
But you may not yet know how to:
- ✕ Build LLM applications and agents
- ✕ Design evaluation pipelines for AI systems
- ✕ Ship production AI with reliability and guardrails
Where we're taking you
AI Engineer
You will learn to:
- ✓ Build LLM applications with structured outputs and tools
- ✓ Build and evaluate RAG systems
- ✓ Build and test AI agents
- ✓ Design AI evaluation pipelines
- ✓ Harden AI systems for production reliability
You won't finish with another certificate.
You'll finish having built something real.
By the end of the program, you will have built:
Learn by building
What You Will Build
Scan this. This is what you leave with — every project is a working artifact, not a lesson.
Project 01
First AI Application
Bridge your API and automation experience into building an LLM application.
Project 02
Tested AI Application
Build an AI application with deterministic, automated tests.
Project 03
RAG + Evaluation Suite
Build retrieval, grounding and citations — and test retrieval quality.
Project 04
Tested AI Agent
Build an agent with tools, memory and automated behavioral tests.
Project 05
AI Evaluation Pipeline
Build a reusable pipeline for correctness, hallucination and regression.
Project 06
AI Reliability Layer
Add monitoring, security, fallbacks and production failure analysis.
Capstone
Build and validate a production AI system end-to-end — with your own evaluation suite as proof.
Demo it · discuss it · prove it
Curriculum
Every module ends in an output
Each module is built around a capability you can use — not a topic list. Expand a module to see the key concepts behind what you'll build.
Your flagship project
Build and validate a production AI system end-to-end — with your own evaluation suite as proof.
Demo it to the cohort. Discuss it in interviews. Show it internally. Use it as proof of capability.
Your unfair advantage
You're closer to AI Engineer than you think.
You already understand test automation, edge cases, APIs, test frameworks and CI/CD. AI engineering adds evaluation, reliability and a build path to instincts you use every day.
You already know
We add
Test automation
AI evaluation
Edge cases
LLM failure analysis
APIs
Tool-calling agents
Test frameworks
Evaluation pipelines
CI/CD
AI system validation
Why UPGRADE
Not another AI course
Built for professionals
No “what is Python?” or unnecessary from-zero content.
Learn by building
Real systems and outputs, not passive lectures.
Production thinking
Architecture, reliability, evaluation, security and deployment.
Proof of capability
Finish with work you can demo and discuss.
The format
How the live program works
01
Before each live session
Short preparation material so you arrive ready to build.
02
Live session
Instructor builds and explains concepts in real time.
03
Build assignment
You implement the system yourself.
04
Review
Feedback, debugging and architecture discussion.
05
Capstone
Combine everything into one meaningful project.
No endless recorded-video library. You learn by showing up and building.
Your instructors
Learn from practitioners who have built and led at top technology, finance and consulting companies.
UPGRADE is taught by experienced engineers, architects, product leaders and operators with professional backgrounds across organizations such as Google, Microsoft, Amazon, Goldman Sachs, BCG and Paytm.
Not career trainers teaching from slides. Practitioners teaching systems, decisions and lessons from real-world work.
- ✓ Experienced engineers, architects, product leaders and operators
- ✓ Built and shipped production systems at scale
- ✓ Enterprise AI architecture and implementation
- ✓ Decisions and lessons from real-world work
- ✓ Practitioners — not career trainers
Practitioner backgrounds include
What participants build
Real systems, not certificates
Every cohort ends with participants demoing what they built — real systems, not slide decks. As cohorts run, we'll replace this space with actual participant work and before/after stories.
- ✓ Production AI applications
- ✓ RAG systems with evaluation
- ✓ AI agents with tools and guardrails
- ✓ Working product prototypes
- ✓ Enterprise AI reference architectures
This program is not for everyone
Don't join if:
- ✕ You are looking for a completely passive course
- ✕ You cannot commit time to actually building
- ✕ You want only a certificate
- ✕ You have no relevant professional foundation for this track
Join if
- ✓ You already have experience in qa engineer
- ✓ You want practical AI capability
- ✓ You're willing to build every week
- ✓ You want to become a AI Engineer
What this unlocks
Possible outcomes
Upgrade your current role
Use AI and evaluation skills to become substantially more capable in your quality organization.
Move into an AI-native role
Build the skills required to credibly pursue AI Engineer roles.
Build proof
Have systems and evaluation suites you can discuss in interviews.
Build independently
Stop being limited to testing and start building AI systems end-to-end.
Founding cohort
One program. One price.
Founding Cohort
Limited time- ✓Live sessions
- ✓Project builds
- ✓Recordings
- ✓Templates / source code
- ✓Cohort community
- ✓Capstone
- ✓Feedback & review
- ✓Certificate (if you want one)
No-risk first session
Our promise to you
Attend the first live session. If you believe the program isn't at the level promised, request a full refund within 7 days of the first session.
Questions, answered
No. Evaluation, edge cases, automation and reliability are core AI-engineering skills. You're translating what you already do well — not starting from zero.
Your existing experience got you here.
Now upgrade it for AI.
QA Engineer → AI Engineer
Build the capability. Build the proof. Make the transition.
Live · Project-based · Limited cohort