Agentic Full-Stack
Architecture
An AI-enabled product has a promising prototype but no safe path to production. Set the boundaries, identity model, data flows, and delivery plan before the system grows around unexamined assumptions.
What you'll ship: Reviewed architecture deliverables and business challenges: system designs, database schemas, CI/CD pipelines, security reviews, deployment strategies, and operational documentation.
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About this lab
The useful skill is directing the build, not racing the AI to the keyboard.
Agentic full-stack architecture is the practice of designing applications where AI agents can plan, use tools, manage state, and complete multi-step work within a governed software system. It connects the interface, backend services, data stores, integrations, and deployment decisions around the agent rather than treating an LLM as a standalone feature.
This lab assumes some technical familiarity and teaches you to direct AI-assisted builds across that system. The focus is application architecture, security, orchestration, resilience, observability, and handover. It is not a machine-learning engineering credential or a substitute for production experience.
Most bootcamps teach syntax. The job needs you to set the rules, choose the stack, design the schema, enforce security, and own the deployment while AI writes the code.
Your first brief is a promising AI product prototype that needs a production architecture. You define its system boundaries, authentication, data flows, deployment path, and recovery plan. The architecture specification makes the risks and delivery decisions visible before implementation begins.
What you'll ship: Reviewed architecture deliverables and business challenges: system designs, database schemas, CI/CD pipelines, security reviews, deployment strategies, and operational documentation.
The curriculum
Own the system around the code
Move from directing AI-generated code to owning the architecture, security, and delivery decisions around it. Each phase turns a decision into evidence you can defend. Preview the opening phase, then unlock the complete lab when you purchase access.
Self-paced: typical completion varies by lab and starting point. See the study commitment below for the expected range.
Possible directions
Where this work can be relevant
The projects help you build evidence for technical architecture and software delivery roles. They do not guarantee a job or a particular outcome.
Example employers for these skills
Examples of organisations where related skills may be relevant. No employer endorsement is implied.
Skills you'll gain
Real tools, real skills.
You learn by doing, not watching. Every skill comes from completing practical module work and business challenges with the tools employers use.
Core skills
Tools you'll use
Salary ranges
What these roles actually pay.
Based on Glassdoor, LinkedIn, and Indeed data for 2025-2026. Ranges vary by location, experience, and company size.
AI Solutions Architect
UK
£80k-£140k
US
$130k-$220k
Technical Program Lead
UK
£70k-£120k
US
$110k-$180k
Founding Operator
UK
£75k-£130k
US
$120k-$200k
Who this lab is for
You do not need to be a senior engineer. You need the willingness to reason about systems, ask better questions of AI, and take responsibility for the architecture the code depends on.
Operators, consultants, and founders
Learn to direct software builds without becoming the person typing every line of code.
Career transitioners into technical leadership
Build the judgment needed to define architecture, enforce security, and manage delivery with AI support.
Technical builders moving into system design
Strengthen your ability to reason about full-stack tradeoffs, cloud deployment, and operational resilience.
Roles this work can support
How our learners build their portfolios
Whether starting out, changing careers, or moving up.
Amara K.
Operations Lead
Priya M.
Product Manager
Daniel F.
Systems Analyst
Marcus W.
Technical PM
Nadia H.
Business Analyst
James R.
Technical Lead
Fatima A.
Solutions Architect
Chen L.
Founding Engineer
Samuel T.
AI Ops Specialist
Lisa K.
Platform Engineer
Grace N.
Compliance Manager
Hassan M.
Risk Analyst
What's included
Everything you need to finish.
Vera feedback on every submission
AI-powered review with specific, actionable notes
Up to 5 Vera reviews per submission
Use focused feedback to strengthen your work
Reviewed architecture deliverables and business challenges
System specs, frontend and backend designs, security reviews, agent orchestration plans, deployment runbooks
One verifiable certificate per paid lab
Issued after the business-challenge defense passes
Lifetime access
Revisit materials and projects anytime
Level
Some technical familiarity helpful
Duration
11–14 weeks (5 hours per week)
Who this is for
- Technical leads moving into architecture
- Engineers directing AI-assisted builds
- Founders building SaaS products
Free to preview. Purchase the lab for complete access and more business challenges.
Get started
Ready to build?
Create your account to explore the opening curriculum and begin your first module. No credit card required.
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