Choose AI training or one-to-one career preparation.
For experienced engineers, architects and engineering leaders. Choose the capability you want to develop or the career decision you want help with.
| Your need | Pathway | How you work |
|---|---|---|
| Learn to build AI agents or strengthen how you review and guide AI work | Agentic AI programmes | Live, project-based learning with Sunil Mathew |
| Prepare for interviews or plan an internal or external career move | Career Preparation | One-to-one guidance, planning and mock interviews |
You can choose either pathway independently. Help me choose if you need to discuss your starting point first.
Compare Agentic AI programmes
These programmes develop implementation skills and the judgment to examine an agent's behaviour, permissions and limits. Choose the depth that fits your goal.
| Programme | Who this is for | Learning outcome | Hours | Action |
|---|---|---|---|---|
| Architecting Agentic AI Systems | Engineering leaders, architects and staff engineers who need to build, review or guide AI-agent work. | Build and evaluate a shared support-agent learning project through deployment, including control, recovery, evidence and architecture review. | 30 live, 6 weeks | Request a fit call |
| Design and Build Multi-Agent Systems | Senior engineers, technical leads and architects whose problem needs more than one agent. | Build a working multi-agent system, explain its architecture and evaluate where it holds and where it breaks. | 20 live, 5 weeks | Request a fit call |
| Build Reliable AI Agents | Developers, product and programme managers exploring one focused workflow; hands-on scope depends on technical starting point. | Build a bounded AI-agent workflow and explain its tools, behaviour, human review points and limitations. | 10 live, 3 weeks | Request a fit call |
AI programme fees are per participant. Build Reliable AI Agents includes 4–5 hours of independent work a week; Design and Build Multi-Agent Systems includes 3–4. These are additional to live hours. Architecting Agentic AI Systems uses a shared support-agent learning project; confirm its full setup and pre-session preparation commitment before joining.
Compare Career Preparation packages
Start with the decision in front of you. A known interview round needs different support from a career direction that is still taking shape. Supported themes include system design, project discussions and engineering leadership, including suitable roles beyond AI.
| Programme | Who this is for | What you receive | Hours | Action |
|---|---|---|---|---|
| Focused Mock Interview | Experienced engineers, architects and engineering leaders with one system-design, project or leadership interview round to practise. | One mock interview, feedback and priorities for further preparation, within one hour. | 1 one-to-one | Request a mock interview |
| Interview Preparation and Practice | Experienced engineers, architects and engineering leaders with a target role who need a preparation plan and repeated practice. | One planning session, two mock interviews and feedback, within three hours. | 3 one-to-one | Request interview preparation |
| Agentic AI Career Transition Roadmap | Experienced engineers, architects and engineering leaders deciding how to move into AI responsibilities internally or with another employer. | A review of relevant experience and capability gaps, a career-roadmap report and one mock, within four hours. | 4 one-to-one | Request a career roadmap |
Planning, mocks and feedback fit within the stated totals. The three- and four-hour packages follow a weekly cadence, with scheduling discussed before booking. These services are for experienced professionals; freshers and coding-round coaching are outside the current scope.
Why work with Sunil?
Sunil Mathew: 26 years in engineering, with past roles at Google, Amazon and Walmart Labs. The AI programmes draw on his engineering practice; career preparation draws on his experience assessing senior technical professionals.
What happens after a request?
- Send a request
Your name, email and current role are enough. You can add more context after sending.
- A 20-minute fit call
Sunil reads every request and replies within 2 working days to arrange a short call about your goal, starting point and availability.
- Confirm your place
Scope, schedule and payment are agreed before a place or session is confirmed.
Arranging support through your employer?
An employer can sponsor an individual programme. Learning for a whole team is scoped separately around its capability needs, schedule and group.
Discuss enterprise learning · Use the employer-funding summary
Unsure where to begin?
Help me choose. Explain the work, interview or career decision you want help with.
For an organisation's AI leadership or a review of its work, explore consulting.