Schedule

Palce	Start Date	End Date	Days	Price
Online	January 05, 2027	January 07, 2027	3	‏4,500.00 د.إ.‏
Dubai	April 19, 2027	April 21, 2027	3	‏7,500.00 د.إ.‏
Abu Dhabi	May 25, 2027	May 27, 2027	3	‏7,500.00 د.إ.‏
Online	August 30, 2027	September 01, 2027	3	‏4,500.00 د.إ.‏
Dubai	October 12, 2027	October 14, 2027	3	‏7,500.00 د.إ.‏
Abu Dhabi	November 22, 2027	November 24, 2027	3	‏7,500.00 د.إ.‏

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Overview

The course begins with Use Case and User Problem to establish the working context, then develops capability through Solution Architecture and Workplan and Governance Gates and Documentation. Participants apply the ideas in realistic cases before consolidating them through AI Project Closure and Learning.

Target Audience

Transformation Project Leaders
Program Managers
Portfolio Managers
Project Communication Managers
Project Controls Managers
Government Program Managers
Project Managers
Project Analysts

Goals

Improve use case through measurable performance standards
Apply technical feasibility within defined workplace controls
Evaluate value and risk against clear operational criteria
Use solution architecture to support accountable decisions
Test model validation under realistic workplace conditions
Review gates and documentation before final operational approval
Govern change readiness with clear operational ownership
Analyze production monitoring using reliable workplace evidence

Day 1: Shaping the AI Project Case

Use Case and User Problem

Application limits around use case
Handoffs between project workstreams
Dependencies shaping project delivery sequence
Evidence required for status updates

Data and Technical Feasibility

Decision points for technical feasibility
Recovery options for delayed work
Decision logs supporting project accountability
Stakeholder influence on delivery choices

Value, Risk, and Success Criteria

Validation checks for value and risk
Assumptions affecting delivery estimates
Risk signals on high-impact activities
Escalation thresholds for project variance

Day 2: Building, Testing, and Governing Delivery

Solution Architecture and Workplan

Operational risks around solution architecture
Change impacts assessed before approval
Milestones proving meaningful progress
Resource constraints affecting the schedule

Experimentation and Model Validation

Control boundaries around model validation
External shifts shaping strategic choices
Signals indicating meaningful scenario change
Evidence informing strategic priorities

Governance Gates and Documentation

Decision points for gates and documentation
Early warnings needing course correction
Measures linking strategy to outcomes
Decision thresholds for strategic response

Day 3: Deploying and Operating the Solution

Release and Change Readiness

Review criteria for change readiness
Dependencies influencing option feasibility
Criteria for comparing strategy options
Trade-offs across value and risk

Production Monitoring and Support

Evidence requirements for production monitoring
Trigger points for revisiting assumptions
Assumptions shaping strategic options
Uncertainty ranges around key drivers

AI Project Closure and Learning

Practical tests for AI project closure
Oversight roles across the lifecycle
Human oversight at high-impact decisions
Escalation paths for failed controls

Training Methodology

Decision simulation testing technical feasibility in context
Hands-on workshop applying model validation to realistic tasks
Peer review challenging assumptions around change readiness
Practical lab developing AI project closure for operational use

Outputs

A documented evidence log for use case
A working worksheet for testing value and risk
A governance framework for controlling solution architecture
A monitoring template for measuring gates and documentation
An implementation roadmap for improving production monitoring
A practical checklist for reviewing AI project closure

Certificate

Official Certificate

Accredited & Recognized Training Certificate

Upon successful completion of the program, participants receive an official certificate issued by Al Manhal Institute, confirming their attendance and acquired competencies, in accordance with approved professional and institutional standards.

Schedule

Goals

Contents

Certificate

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Schedule

Goals

Contents

Certificate

Managing AI Projects from Concept to Deployment

Schedule

Overview

Target Audience

Goals

Contents

Day 1: Shaping the AI Project Case

Use Case and User Problem

Data and Technical Feasibility

Value, Risk, and Success Criteria

Day 2: Building, Testing, and Governing Delivery

Solution Architecture and Workplan

Experimentation and Model Validation

Governance Gates and Documentation

Day 3: Deploying and Operating the Solution

Release and Change Readiness

Production Monitoring and Support

AI Project Closure and Learning

Training Methodology

Outputs

Certificate

Accredited & Recognized Training Certificate