Live AI career upgrade for software engineers
Software Engineer→AI Engineer
Build and deploy production AI systems. Turn your software engineering experience into production AI agents, RAG systems, agentic workflows and coding agents — live, project-based, and built for experienced professionals.
Live · Project-based · Experience required · Limited cohort
This is for you if…
This track is built for you
- ✓You currently work as a software engineer
- ✓You already understand APIs, databases, testing and deployment
- ✓You have experimented with AI but haven't built production-grade 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
Software Engineer → AI Engineer
Where you are today
Software Engineer
You can:
- ✓ Design and build APIs and services
- ✓ Model data and work with databases
- ✓ Test, deploy and operate production systems
But you may not yet know how to:
- ✕ Build production LLM applications and agents
- ✕ Design RAG systems with retrieval, citations and evals
- ✕ Productionize AI systems — reliability, security and cost
Where we're taking you
AI Engineer
You will learn to:
- ✓ Build production LLM applications with structured outputs and tools
- ✓ Design RAG systems with retrieval, citations and evals
- ✓ Build AI agents and end-to-end agentic workflows
- ✓ Productionize AI systems — evals, observability, security and cost
- ✓ Build AI coding agents that ship software
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
Production LLM App
Build a reliable AI application connected to external tools.
Project 02
Enterprise Knowledge Assistant
Build a grounded RAG assistant with retrieval, reranking and citations.
Project 03
Task Execution Agent
Build an agent that reasons, uses tools and completes multi-step tasks.
Project 04
Agentic Business Workflow
Build an end-to-end workflow with specialized agents and human approvals.
Project 05
Production AI System
Harden one of your systems with evals, observability and cost controls.
Project 06
AI Software Engineer
Build an agent that implements a coding task, runs tests and opens a PR.
Capstone
Design, build and deploy a production-quality AI product — something you can demo, discuss in interviews and use as proof of capability.
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
Design, build and deploy a production-quality AI product — something you can demo, discuss in interviews and use as proof of capability.
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 APIs, software architecture, databases, testing, deployment and production systems. AI engineering adds a new intelligence layer to skills you already use every day.
You already know
We add
APIs
LLM APIs + tool calling
Databases
Vector retrieval + RAG
Services
AI agents
Testing
AI evaluations
Deployment
Production AI deployment
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 software 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 to become substantially more capable in your existing engineering organization.
Move into an AI-native role
Build the skills required to credibly pursue AI Engineer roles.
Build proof
Have projects and architecture decisions you can discuss in interviews.
Build independently
Stop being limited to tutorials and start turning ideas into working AI systems.
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 ML background required. You build on the software engineering skills you already have — APIs, databases, testing and deployment.
Your existing experience got you here.
Now upgrade it for AI.
Software Engineer → AI Engineer
Build the capability. Build the proof. Make the transition.
Live · Project-based · Limited cohort