AI in Action — From Asking AI to Executing with AI
A two-day, hands-on, in-person program in Dubai for entrepreneurs, leaders, managers, professionals and individuals who want to move from isolated AI questions to structured real-world execution. Bring a real responsibility or business challenge and build useful outputs with human review.
FormatTwo-day hands-on program, delivered in person in Dubai. 10:00–16:00 Dubai time (UTC+4) each day.
FeeUSD 1,950 per person
VenueDubai · 5-star hotel format (lunch and coffee included) · hotel details to be confirmed
WhatsApp us for the program and to secure your seat.
Build your AI execution ecosystem
31 seconds
Read English transcript
00:00
We dare you. Bring us your toughest business challenge.
00:03
Business leaders and entrepreneurs. Ready to build your own AI execution ecosystem?
00:07
At Talent Intelligence Hub, we start with a pre-course assessment around your goals.
00:12
Then get hands-on. Connect AI assistants, build workflows, test solutions.
00:17
You set the goals. You stay in control.
00:19
Leave with stronger AI skills and a clear execution plan.
00:22
How far you take it? The sky's the limit.
00:25
Message “AI LEADER”. Let's get to work.
Program objective
Develop the practical capability to use AI as a structured thinking and execution partner: identifying high-value applications, designing reusable expert roles and workflows, validating outputs, and building a personal operating system that supports meaningful work beyond the classroom.
Who this suits
Entrepreneurs, leaders, managers, professionals and individuals who want to use AI as a structured thinking and execution partner rather than a one-task-at-a-time tool. Suitability can be confirmed from your goals when you enquire.
Key learning outcomes
By the end of the two days, participants will be able to:
1Frame a real challenge with objectives, context, constraints and acceptance criteria.
2Prioritize AI opportunities by effort, value and risk.
3Build a reusable AI expert bench with role briefs, evidence requirements and review boundaries.
4Turn an idea into sequenced actions and useful work products.
5Research and challenge assumptions while checking sources and uncertainty.
6Design connected workflows and parallel workstreams with human approvals.
7Build and test a personal AI operating system.
8Present a practical project and a measurable 30-day implementation plan.
Program structure — two days
1
From Prompting to Partnering With AI
Theory & concepts
Context, role, goal, constraints, examples and quality standards; the limits of AI outputs and where human review must sit.
Practice
Convert a vague request into a reusable working brief, then compare and refine the responses you get back.
Tangible output
One reusable brief plus an output-review checklist.
2
Find the Hours Hiding Inside Your Working Day
Theory & concepts
Task decomposition, opportunity assessment, and value/effort/risk prioritization for recurring work.
Practice
Map recurring work and choose the tasks most suitable for AI support.
Tangible output
An AI Time & Execution Map with priorities and human checkpoints.
3
Build Your Personal AI Expert Bench
Theory & concepts
Specialist roles, role boundaries, evidence requirements and constructive challenge.
Practice
Design and use strategy, research, operations and customer expert roles on one challenge.
Tangible output
An AI Expert Bench foundation with role cards and review criteria.
4
Turn Ideas Into Execution
Theory & concepts
Outcome definition, assumptions, milestones, dependencies and completion criteria.
Practice
Develop an idea into a sequenced work plan and a first usable deliverable.
Tangible output
A repeatable idea-to-deliverable method and an initial work product.
5
Research, Think and Challenge Better
Theory & concepts
Research-question design, evidence quality, verification, bias and uncertainty.
Practice
Compare sources and challenge an AI-supported recommendation before using it.
Tangible output
A short evidence-backed decision brief with assumptions and unresolved questions.
6
Day One AI Execution Lab
Theory & concepts
Guided application of the day's methods to each participant's real work, with peer and facilitator review.
Practice
Apply the methods to your own challenge; review and iterate against clear criteria.
Tangible output
Meaningful progress on a real challenge and a focused plan for Day Two.
Learning approach
Concise conceptual briefings, facilitator demonstrations, guided laptop practice, individual build time, paired challenge and review, and a capstone application. Data confidentiality, verification and human-approval boundaries are built into the practice instructions.
Assessment & application
Before
After your registration and payment are confirmed, complete the required pre-course assessment so we can tailor the learning to your goals.
During
Formative review of the quality of your briefs, evidence, workflows and final project during guided practice and the capstone.
After
Assessment is practical and formative: the quality of your briefs, evidence, workflows and final project is reviewed during the program.
Workplace transfer
Participants leave with a practical build, reusable workflows, a Personal AI Operating System blueprint and a 30-day implementation plan.
Participant outputs
AI Opportunity / Time & Execution Map
AI Expert Bench
Reusable workflows
Personal AI Operating System blueprint
Applied project
30-day action plan
These outputs are developed during the workshop, not pre-existing downloadable freebies.
Preparation
Laptop required. Bring a non-confidential challenge, responsibility or idea to work on. Exact tool and account requirements are supplied in joining instructions before attendance; no paid licences are implied as included.
Frequently asked questions
Where and how is the program delivered?
It is a two-day, hands-on program delivered in person in Dubai, 10:00–16:00 each day, in a 5-star hotel format with lunch and coffee included. The specific hotel details are confirmed with your booking confirmation. It is not a part-time or live-online public course; private corporate delivery can be discussed separately.
What do I need to bring?
A laptop and a non-confidential challenge, responsibility or idea to work on. The exact AI tools and accounts are specified in your joining instructions before attendance; no paid licences are implied as included.
How is the learning assessed?
Assessment is practical and formative. The facilitator reviews the quality of your briefs, evidence, workflows and final project during guided practice and the capstone.
How do I secure a place?
Enquire about your preferred cohort. The TIH team will confirm availability, venue details and booking steps. An enquiry does not reserve a place.
