Program objective
Develop integrated project leadership across strategic value, core delivery disciplines and responsible AI application. Participants evaluate delivery approaches, use AI-assisted planning and reporting with human validation, and defend decisions in an integrated project challenge.
Who this suits
Project managers, delivery leads, PMO professionals and managers responsible for strategic or complex initiatives.
Professional objectives
- Apply essential project-management practices reflected in PMP knowledge areas across scope, schedule, cost, quality, resources, risk, procurement, stakeholders and governance.
- Select and use AI tools to support planning, risk analysis and reporting, with validated outputs and accountable human review.
- Execute an integrated project scenario and defend decisions against business value, delivery performance and stakeholder expectations.
Key learning outcomes
- Produce a project charter and a value-delivery map.
- Build a stakeholder register and rehearse an alignment conversation.
- Create a scope baseline, WBS and acceptance checklist.
- Deliver an integrated schedule, resource plan and cost baseline.
- Produce a risk register, quality plan and procurement brief.
- Build a prioritized backlog and run a short delivery simulation.
- Prepare a performance dashboard and a justified recovery recommendation.
- Complete a change-impact assessment and an executive decision paper.
- Create a tool-selection matrix, reusable prompts and an output-checking rubric.
- Deliver a validated planning pack and an AI-assisted risk-analysis worksheet.
- Build a reporting workflow specification and a checked sponsor update.
- Defend an integrated project pack and a workplace implementation roadmap.
Module map
- 1.PMP-informed foundations and strategic value
- 2.Stakeholder engagement and project leadership
- 3.Requirements, scope and acceptance
- 4.Schedule, resources and cost integration
- 5.Risk, quality and procurement management
- 6.Agile and hybrid execution
- 7.Performance controls and forecasting
- 8.Change control and governance decisions
- 9.AI tools, prompting and responsible use
- 10.AI-assisted planning and risk workshops
- 11.AI-supported reporting and workflow execution
- 12.Closure, benefits and integrated project challenge
Modules in detail
1
PMP-informed foundations and strategic value
Theory & concepts
Build an integrated understanding of project leadership across people, delivery processes and the business environment. Connect the project charter, business case and benefits to strategic priorities, and distinguish project outputs from measurable organizational value. Compare predictive, agile and hybrid lifecycles using a common case. Define sponsorship, constraints, assumptions and success criteria, and select a delivery approach that fits uncertainty and governance needs.
Professional application
Define success through customer acceptance, operational use and measurable benefit. Compare the governance decisions required at initiation with those needed during delivery and after handover.
Hands-on exercise & output
Produce a project charter and a value-delivery map.
2
Stakeholder engagement and project leadership
Theory & concepts
Identify the sponsor, customer, users, suppliers and affected functions, then assess influence, impact and engagement needs. Establish team agreements and decision rights that support collaboration across different professional and cultural backgrounds. Use stakeholder mapping, RACI, communication planning and conflict-resolution techniques. Practice difficult sponsor conversations, facilitation and escalation that present evidence and options rather than transferring the problem.
Professional application
Assess competing stakeholder expectations and prepare a realistic engagement sequence. Practice presenting trade-offs to a sponsor while keeping the project team clear about priorities and authority.
Hands-on exercise & output
Build a stakeholder register and rehearse an alignment conversation.
3
Requirements, scope and acceptance
Theory & concepts
Translate business needs into deliverables, requirements and acceptance criteria. Establish boundaries, exclusions and assumptions so that scope is understandable, testable and connected to the intended benefit. Use requirements elicitation, prioritization, a work breakdown structure and traceability. Distinguish product scope from project scope and validate deliverables against explicit acceptance criteria.
Professional application
Test each requirement for clarity, necessity and verifiability. Connect acceptance evidence to the deliverable and identify how an unapproved request should enter the change process.
Hands-on exercise & output
Create a scope baseline, WBS and acceptance checklist.
4
Schedule, resources and cost integration
Theory & concepts
Develop a realistic delivery plan by connecting activities, dependencies, estimates and resource capacity. Establish schedule and cost baselines and identify where uncertainty or resource conflict threatens the planned outcome. Apply three-point estimating, network logic, critical-path analysis and basic resource leveling. Build a Gantt view and cost model in Excel or an appropriate planning tool, with contingency assumptions documented.
Professional application
Explore the effect of resource shortages and changed dependencies on the delivery forecast. Compare recovery options and make the cost, quality and risk consequences explicit.
Hands-on exercise & output
Deliver an integrated schedule, resource plan and cost baseline.
5
Risk, quality and procurement management
Theory & concepts
Identify delivery threats and opportunities, define quality standards and assess supplier dependencies. Assign ownership for risk responses, quality assurance and the commercial handovers that affect execution. Use a RAID log, probability-impact scoring, response strategies and quality checklists. Review make-or-buy decisions, statement-of-work clarity and supplier performance measures without substituting for specialist contract advice.
Professional application
Connect risk responses to actions, budgets and ownership. Distinguish quality assurance from checking the finished deliverable and assess where supplier commitments introduce additional exposure.
Hands-on exercise & output
Produce a risk register, quality plan and procurement brief.
6
Agile and hybrid execution
Theory & concepts
Use iterative delivery when requirements evolve and feedback can improve value. Combine appropriate planning discipline with incremental delivery, visible work and frequent review rather than treating agile and governance as opposites. Practice backlog prioritization, user stories, acceptance criteria, sprint planning and retrospectives. Use a Kanban board, work-in-progress limits and a definition of done to manage delivery flow.
Professional application
Use feedback to reprioritize work while protecting essential objectives. Examine how limited work in progress, clear acceptance and regular review affect flow and predictability.
Hands-on exercise & output
Build a prioritized backlog and run a short delivery simulation.
7
Performance controls and forecasting
Theory & concepts
Assess project health through actual progress, forecast outcomes and business consequences. Diagnose variance before selecting a recovery action, and distinguish apparent progress from accepted, usable work. Calculate and interpret PV, EV, AC, CPI and SPI using a supplied case. Compare estimate-at-completion assumptions, schedule recovery options and dashboard indicators, checking the limitations of each measure.
Professional application
Interpret performance indicators together rather than treating one ratio as a complete diagnosis. Check the reliability of progress estimates and explain the assumptions behind the forecast.
Hands-on exercise & output
Prepare a performance dashboard and a justified recovery recommendation.
8
Change control and governance decisions
Theory & concepts
Evaluate proposed changes against scope, schedule, cost, risk, quality and benefits. Maintain a clear decision trail and use governance to resolve trade-offs, protect value and clarify accountability. Apply change-request assessment, decision logs and escalation thresholds. Practice a steering-committee briefing that makes options, consequences and the required decision explicit.
Professional application
Frame governance discussions around the decision needed, options available and consequences of delay. Record the approved change and update all affected baselines and communications consistently.
Hands-on exercise & output
Complete a change-impact assessment and an executive decision paper.
9
AI tools, prompting and responsible use
Theory & concepts
Compare Microsoft Copilot and Google Gemini as assistants for project research, document preparation and analysis. Select tools according to the task, approved data access, licensing and the effort required to validate results. Use structured prompts, approved source packs, examples and output schemas. Examine source grounding, hallucinations, confidentiality and human approval, and distinguish an AI-assisted task from an autonomous workflow.
Professional application
Build a task-specific evaluation rubric covering accuracy, completeness, source traceability and usefulness. Compare generated outputs against the same brief and document when human expertise must override a suggestion.
Hands-on exercise & output
Create a tool-selection matrix, reusable prompts and an output-checking rubric.
10
AI-assisted planning and risk workshops
Theory & concepts
Use AI to develop first drafts of charters, work packages, stakeholder questions and risk registers from a supplied project brief. Refine the results through professional judgment rather than accepting the first response as a plan. Compare outputs from two available assistants and inspect omissions, invented assumptions and inconsistent dependencies. Verify dates, arithmetic and resource logic in Excel, then link approved tasks to a Planner, Trello or equivalent work board.
Professional application
Use a structured review to find missing scope, unrealistic sequencing and unowned risks. Trace each approved planning element back to the project brief or a documented expert decision.
Hands-on exercise & output
Deliver a validated planning pack and an AI-assisted risk-analysis worksheet.
11
AI-supported reporting and workflow execution
Theory & concepts
Turn project updates into a structured status report, meeting actions and a decision brief. Design a repeatable process that captures source information, generates a draft and routes it for accountable review. Map a Power Automate approval workflow and its manual fallback. Test missing data, conflicting updates and failed handovers, and measure reporting quality and review time before deciding whether to scale.
Professional application
Define the reporting inputs, review owner and publication checkpoint. Distinguish a completed workflow from a reliable management report and test whether the output supports the intended sponsor decision.
Hands-on exercise & output
Build a reporting workflow specification and a checked sponsor update.
12
Closure, benefits and integrated project challenge
Theory & concepts
Execute a project simulation that combines scope, planning, risks, stakeholder decisions, change and AI-supported reporting. Review the final result against the business case and prepare a handover that sustains value after project closure. Present the delivery pack to a simulated steering committee and respond to an unexpected change. Complete acceptance, lessons learned, benefit ownership and a 30-day application plan with clear success measures.
Professional application
Demonstrate the connection between the charter, plan, control records and final handover. Explain how the project choices protect value and identify the actions required to sustain benefits.
Hands-on exercise & output
Defend an integrated project pack and a workplace implementation roadmap.
Integrated assignment
Defend an integrated strategic project pack covering delivery design, resources, risk, governance, AI-supported analysis, performance controls and benefits realization.
Delivery & methodology
Format
Part-time professional training
Attendance
Face-to-face · Live online
Location
Dubai / UAE for face-to-face cohorts; online attendance available
Timing
Session hours, timetable, venue and cohort availability are confirmed in joining instructions.
- Pre-course needs and learning-goals assessment
- Facilitated theory and professional concepts
- Guided demonstrations, case analysis and hands-on exercises
- Application to workplace decisions, with discussion and feedback
- Post-course learning review and a personal application plan
Assessment & application
Before
Identify your role, experience, priority objectives and a workplace task you want to improve. Record a baseline confidence rating with an example of current capability.
During
Review module exercises for accurate use of the method, evidence supporting decisions, relevance to the case and clarity of the completed output. Use facilitator and peer feedback to refine the work.
After
Compare the completed assignment with your initial objectives. Explain the decisions made, identify remaining gaps and record the next practical steps.
Workplace transfer
Create a personal 30-day application plan with a defined action, target date, required support and an observable success measure. This is a participant follow-through plan; ongoing coaching is scoped separately.
Frequently asked questions
How does the program use AI responsibly in delivery?
AI-assisted research, analysis and reporting are used with explicit verification controls, alongside performance-variance investigation, benefits realization and an integrated project case.
Is AI use covered responsibly?
Yes. AI-assisted work is used with explicit verification controls so quality is maintained.
Are the dates confirmed?
Dates, delivery format and places are confirmed by TIH before any booking is finalized. Use the enquiry option to check the next available cohort.
