For professionals in the UAE, Saudi Arabia, Qatar and the Gulf.
Build AI agents and the judgment behind them, or prepare for your next role, with Sunil Mathew.
Live, online programmes and one-to-one preparation for experienced engineers, architects and engineering leaders across the Gulf. Sunil Mathew: 26 years in engineering, with past leadership roles at Google, Amazon and Walmart Labs.
Agentic AI programmes
Build the expertise to take on AI work with confidence.
Learn to design, build and evaluate AI agents through live, project-based programmes. Develop the engineering judgment to review architecture and guide technical decisions.
Career Preparation
Make your experience count in your next career move.
Work one-to-one with Sunil Mathew on interview preparation or your career direction. Practise explaining your experience, identify gaps and prepare for opportunities within your company or beyond.
How it works from the Gulf
Everything is delivered live and online, so you can take part from anywhere in the region. Sessions are not recorded, so you can talk openly about real design problems.
The Living Craft is run from India and has no office in the region. Fees, schedule and payment are confirmed with you in writing before you join.
| Where you are | Architecting Agentic AI Systems, first session (Sat 31 Oct 2026) |
|---|---|
| India (IST) | 10:00 |
| UAE and Oman (GST) | 08:30 |
| Saudi Arabia, Qatar, Kuwait and Bahrain | 07:30 |
Choose your AI programme
Develop practical capability through building, testing and discussion with Sunil. The learning examines what an agent may do, what evidence it needs and when a person should intervene.
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Architecting Agentic AI Systems
- Learning outcome
- Build and evaluate a shared support-agent learning project through deployment, including control, recovery, evidence and architecture review.
- Who this is for
- Engineering leaders, architects and staff engineers who need to build, review or guide AI-agent work.
- Hours
- 30 liveover 6 weeks
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Design and Build Multi-Agent Systems
- Learning outcome
- Build a working multi-agent system, explain its architecture and evaluate where it holds and where it breaks.
- Who this is for
- Senior engineers, technical leads and architects whose problem needs more than one agent.
- Hours
- 20 liveover 5 weeks
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Build Reliable AI Agents
- Learning outcome
- Build a bounded AI-agent workflow and explain its tools, behaviour, human review points and limitations.
- Who this is for
- Developers, product and programme managers exploring one focused workflow; hands-on scope depends on technical starting point.
- Hours
- 10 liveover 3 weeks
Architecting Agentic AI Systems 30 live, 6 weeks
- Learning outcome
- Build and evaluate a shared support-agent learning project through deployment, including control, recovery, evidence and architecture review.
- Who this is for
- Engineering leaders, architects and staff engineers who need to build, review or guide AI-agent work.
Design and Build Multi-Agent Systems 20 live, 5 weeks
- Learning outcome
- Build a working multi-agent system, explain its architecture and evaluate where it holds and where it breaks.
- Who this is for
- Senior engineers, technical leads and architects whose problem needs more than one agent.
Build Reliable AI Agents 10 live, 3 weeks
- Learning outcome
- Build a bounded AI-agent workflow and explain its tools, behaviour, human review points and limitations.
- Who this is for
- Developers, product and programme managers exploring one focused workflow; hands-on scope depends on technical starting point.
Fees are per participant. Independent work is additional: 4–5 hours a week for Build Reliable AI Agents and 3–4 hours a week for Design and Build Multi-Agent Systems. For Architecting Agentic AI Systems, confirm the complete setup and pre-session preparation commitment before joining. Scope and scheduling are discussed before confirmation.
Choose your career support
Choose help for one interview round, a preparation plan with practice, or a roadmap towards AI responsibilities. Interview preparation covers agreed system-design, project and engineering-leadership themes; it can support suitable roles beyond AI.
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Focused Mock Interview
- What you receive
- One mock interview, feedback and priorities for further preparation, within one hour.
- Who this is for
- Experienced engineers, architects and engineering leaders with one system-design, project or leadership interview round to practise.
- Hours
- 1 one-to-one
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Interview Preparation and Practice
- What you receive
- One planning session, two mock interviews and feedback, within three hours.
- Who this is for
- Experienced engineers, architects and engineering leaders with a target role who need a preparation plan and repeated practice.
- Hours
- 3 one-to-one
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Agentic AI Career Transition Roadmap
- What you receive
- A review of relevant experience and capability gaps, a career-roadmap report and one mock, within four hours.
- Who this is for
- Experienced engineers, architects and engineering leaders deciding how to move into AI responsibilities internally or with another employer.
- Hours
- 4 one-to-one
Focused Mock Interview 1 one-to-one
- What you receive
- One mock interview, feedback and priorities for further preparation, within one hour.
- Who this is for
- Experienced engineers, architects and engineering leaders with one system-design, project or leadership interview round to practise.
Interview Preparation and Practice 3 one-to-one
- What you receive
- One planning session, two mock interviews and feedback, within three hours.
- Who this is for
- Experienced engineers, architects and engineering leaders with a target role who need a preparation plan and repeated practice.
Agentic AI Career Transition Roadmap 4 one-to-one
- What you receive
- A review of relevant experience and capability gaps, a career-roadmap report and one mock, within four hours.
- Who this is for
- Experienced engineers, architects and engineering leaders deciding how to move into AI responsibilities internally or with another employer.
Planning, mocks and feedback are included within the stated session totals. These packages serve experienced professionals; freshers and coding-round coaching are outside the current scope.
Fees and payment
Fees are per participant. They are shown here in UAE dirhams, and in Indian rupees or US dollars if you choose. The team confirms the amount, any applicable taxes and the payment method in writing before you pay.
| Programme | Fee |
|---|---|
| Architecting Agentic AI Systems | AED 4,999 |
| Design and Build Multi-Agent Systems | AED 3,699 |
| Build Reliable AI Agents | AED 1,899 |
| Focused Mock Interview | AED 399 |
| Interview Preparation and Practice | AED 1,099 |
| Agentic AI Career Transition Roadmap | AED 1,499 |
An employer in the region can sponsor your place. The employer funding summary helps you make the case.
Who you'll learn from
With Sunil Mathew: 26 years in engineering, including past roles at Google, Amazon and Walmart Labs. His work spans engineering leadership, hiring, current agentic-AI practice and teaching.
“AI builds, and the human judges and directs. … My first question is always: is this the right use case for an agent at all?” — Sunil Mathew
| Organisation | Past role |
|---|---|
| Engineering Leader | |
| Amazon | Senior Software Development Manager |
| Walmart Labs | Director of Engineering |
For 15 years Sunil has led teams and hired, developed and assessed senior engineers, architects and engineering leaders.
For AI learning, Sunil draws on engineering leadership and current work building agentic-AI products. You examine behaviour, question architecture decisions and revise the implementation through feedback.
For career preparation, his background in hiring, developing and assessing senior technical professionals informs the feedback on your reasoning, examples and individual contribution.
What working with Sunil involves
Learn through a system you can examine
The AI programmes connect implementation with review. Build a workflow, inspect what it did and discuss why it behaved that way. The depth ranges from one focused workflow to the shared support-agent project in Architecting Agentic AI Systems.
Prepare through your own experience
Career sessions begin with your target role, interview or new responsibility. Practise explaining relevant decisions, use feedback to identify gaps and focus your next preparation. The roadmap package brings your career direction and preparation priorities together in a written report.
Before you choose
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When does the next cohort start, and how much time does it take?
Architecting Agentic AI Systems starts online on Saturday 31 October 2026 at 10:00 IST and runs for six weeks. The other two programmes start once 8 participants have confirmed. Each programme explains its live hours and preparation arrangements. Career packages provide one-to-one planning, practice and feedback; the three- and four-hour packages follow a weekly cadence, with scheduling discussed before booking.
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Can my employer fund a programme?
An employer can sponsor an individual place. Use the employer-funding summary to discuss the learning goal and commitment. A programme for a whole team is scoped separately.
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What happens after I enquire?
Send your name, email and current role with the relevant offer selected. Sunil reads every request and replies within 2 working days to arrange a 20-minute fit call about your goal, fit and availability. You can add more context after sending. Scope and payment arrangements are agreed before confirmation; sending a request does not reserve a place or session.
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What if I am unsure which offer fits?
Help me choose. Describe the work, interview or career decision in front of you. You do not need to select a package first.
For organisations in the region
Develop a team's capability
Enterprise learningA team programme is scoped around the group's starting point, goals and practical work, normally for 8–10 participants.
Get expertise on a business decision
ConsultingIt covers AI readiness assessment, bounded advisory and fractional AI leadership.
Ask about fit
Tell us where you are and what you want to work on. We'll suggest the right programme or package.