Live AI career upgrade for engineering managers
Engineering Manager→AI Engineering Leader
Learn to lead engineering organizations where humans and AI agents build software together. Operating models, agentic SDLC, governance and economics — live, and built for experienced engineering leaders.
Live · Project-based · Experience required · Limited cohort
This is for you if…
This track is built for you
- ✓You currently work as an engineering manager
- ✓You already understand delivery, architecture and people leadership
- ✓You have experimented with AI but haven't led AI-native delivery
- ✓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
Engineering Manager → AI Engineering Leader
Where you are today
Engineering Manager
You can:
- ✓ Run delivery and engineering processes
- ✓ Design system architecture and trade-offs
- ✓ Lead and grow engineering teams
But you may not yet know how to:
- ✕ Design AI-native team operating models
- ✕ Redesign the SDLC around coding agents
- ✕ Govern and measure AI engineering delivery
Where we're taking you
AI Engineering Leader
You will learn to:
- ✓ Design AI-native team operating models
- ✓ Redesign the SDLC around coding agents
- ✓ Measure AI engineering productivity
- ✓ Govern AI engineering safely
- ✓ Make build-vs-buy and platform decisions
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
AI-Native Operating Model
Design how roles, workflows and teams change with coding agents.
Project 02
Agentic SDLC Blueprint
Apply agents across planning, coding, review, testing and delivery.
Project 03
Human + Agent Responsibility Model
Define approvals, escalation, ownership and accountability.
Project 04
Productivity Scorecard
Define metrics beyond lines of code and raw agent usage.
Project 05
Reference Architecture
Make strong platform and tooling decisions with enough architecture.
Project 06
Governance Framework
Security, access, code risk, auditability and policy.
Capstone
Create an AI transformation plan for an engineering organization — the operating model, governance and economics in one story.
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
Create an AI transformation plan for an engineering organization — the operating model, governance and economics in one story.
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 leading AI teams than you think.
You already understand delivery, architecture, trade-offs, people and budgets. AI leadership adds operating models, governance and economics to the craft you already practice.
You already know
We add
Running delivery
AI-native delivery workflows
Architecture decisions
Platform & tooling decisions
Team leadership
Human + agent operating models
Performance management
AI productivity scorecards
Budgeting
AI engineering economics & ROI
Risk & compliance
AI governance & safety
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 engineering manager
- ✓ You want practical AI capability
- ✓ You're willing to build every week
- ✓ You want to become a AI Engineering Leader
What this unlocks
Possible outcomes
Upgrade your current role
Use AI to run a substantially more capable engineering organization.
Move into an AI-native role
Build the skills required to credibly pursue AI Engineering Leader roles.
Build proof
Have architecture and governance frameworks you can discuss in leadership interviews.
Lead independently
Stop depending on vendors and start making real AI build-vs-buy and architecture decisions.
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. This is a leadership program — you'll learn the architecture, evaluation and governance vocabulary to lead AI teams, not the math.
Your existing experience got you here.
Now upgrade it for AI.
Engineering Manager → AI Engineering Leader
Build the capability. Build the proof. Make the transition.
Live · Project-based · Limited cohort