Overview
This 2-day intensive course is designed to equip project professionals with the practical skills to integrate Artificial Intelligence into their existing workflows. Rather than replacing the project manager, this curriculum focuses on AI as a force multiplier for human judgement, improving insight while maintaining human accountability.
Delegates will explore how to apply AI responsibly across the full project lifecycle, from automated initiation and optimised planning to predictive monitoring and intelligent closure. The course cuts through the hype to provide no-coding, practical applications that enhance decision-making, forecasting, and reporting. Why Should an Individual Attend?
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Lead Smarter: Learn to use AI as a decision-support tool to improve the accuracy of schedules, costs, and risk forecasts.
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Deliver Faster: Master workflow automation for repetitive PM tasks, such as status reporting and meeting documentation, allowing you to focus on leadership.
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Reduce Risk: Gain proficiency in identifying predictive risk indicators and managing the unique ethical and legal risks associated with AI.
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Future-Ready Leadership: Transition from a traditional manager to a leader who can ask better questions, interpret AI insights critically, and lead beyond the tools.
Outcomes
On completion of this course, the delegate will be able to:
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Demystify AI: Explain core concepts, including the difference between Generative and Predictive AI, as they apply to project environments.
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Optimise the Lifecycle: Apply specific AI tools and prompting techniques across initiation, planning, execution, and monitoring.
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Ensure Governance: Apply ethical, legal (including POPIA), and transparency principles to all AI implementations.
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Strategic Integration: Contribute to the development of an AI-enabled PMO and assess the maturity and ROI of AI operating models.
Program Outline
Module 1: Introduction to AI in Project Management
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Defining AI and its role as a decision-support tool (not a decision-maker).
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Generative AI vs. Predictive AI: Knowing which to use and when.
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Addressing common misconceptions and the "human-in-the-loop" requirement.
Module 2: AI Across the Project Lifecycle
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Initiation & Planning: AI-supported business cases, stakeholder analysis, and schedule/cost optimisation.
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Execution & Control: Automated reporting, predictive risk indicators, and intelligent variance analysis.
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Closure: Automated lessons learned extraction and knowledge capture.
Module 3: AI Tools and Prompting for Professionals
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Mastering AI assistants for structured project documentation.
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Advanced prompting techniques for high-quality, professional outputs.
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Integrating workflow automation into daily PM tasks.
Module 4: Governance, Ethics, and Risk
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Navigating data privacy, POPIA, and bias in AI models.
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Auditability and compliance: Maintaining a clear "paper trail" for AI insights.
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Identifying and mitigating AI-specific project risks.
Module 5: Building the AI-Enabled PMO
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AI operating models and integration into existing PMO structures.
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Change management: Leading teams through the AI transition.
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Measuring the ROI and performance impact of AI adoption.
Who Should Attend?
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Project Managers & Leads: Professionals looking to augment their delivery capabilities with intelligent tools.
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PMO Managers: Individuals responsible for setting standards and improving organisational project maturity.
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Executives & Sponsors: Decision-makers who need to understand AI governance and strategic ROI.
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Risk & Compliance Officers: Professionals overseeing the ethical and legal integration of new technologies.
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