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What you'll learn

This is a list of skills you will learn when enrolling for the AI and Project Management course

  • Understand how Artificial Intelligence is applied in modern project management

  • Identify how AI can reduce cost overruns and schedule delays

  • Apply AI to improve risk management and decision-making

  • Evaluate the opportunities and limitations of AI in the South African construction environment

AI and Project Management

Validated by SAID, SACAP and ECSA accredited (Cat 1)


COURSE CONTENT

This course introduces Engineering and Architectural Professionals to the role of Artificial Intelligence (AI) in improving the planning, execution, monitoring, and delivery of construction and infrastructure projects. Using both global best practices and the South African project environment, the course explores how AI tools can address persistent challenges such as cost overruns, schedule delays, risk mismanagement, and poor decision-making.

✔️ Learn the rules.
✔️ Apply the system.
✔️ Manage Projects smarter.

This workshop is engaging and will involve a Q&A component. A CPD certificate of completion will be awarded to each attendee. 

COURSE INFO

CPD CREDITS AND CATEGORY

1 X Category 1 CPD Credit
DATE:
 25th March 2026
TIME AND VENUE:
 8AM-2PM (Full Day workshop with Quiz) @ CPD Central online
PRICING:
 R1165 (Early Bird - ends 23rd March at 12pm)
R1465 (Full Price)

SAID member's discount

 10% email [email protected]
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COURSE CONTENT BREAKDOWN

1. Introduction to AI in Project Management

  • Definition and evolution of Artificial Intelligence
  • Overview of AI technologies (machine learning, predictive analytics, automation)
  • Why AI is increasingly relevant to project management

2. Traditional Project Management Challenges

  • Cost overruns and schedule delays
  • Risk identification and mitigation gaps
  • Human bias and data-driven decision limitations
  • South African construction and infrastructure challenges, and Case Insights

3. AI-Enhanced Project Management Methodologies

  • AI integration within traditional methodologies (PMBOK, PRINCE2)
  • AI support for Agile and hybrid delivery models
  • Predictive scheduling and resource optimisation
  • AI relevance to public and private sector projects

4. AI Applications Across the Project Lifecycle

  • Planning: forecasting, scope optimisation, feasibility analysis
  • Execution: performance tracking, automation, quality control
  • Monitoring & Control: real-time dashboards, early-warning systems
  • Risk Management: predictive risk identification and mitigation

5. Benefits and Limitations of AI in PM

  • Improved accuracy, efficiency, and decision-making
  • Reduction of project delays and cost overruns
  • Ethical, data quality, and skills-gap considerations
  • Organisational readiness and adoption barriers
  • Practical implications for emerging markets
  • Infrastructure delivery challenges and AI opportunities

Meet your instructor

Architect, Engineer, PM Chilando Musanda

Chilando is passionate about integrated infrastructure development and has built over 12 years post-graduate experience in a variety of project management, architectural and construction engineering projects in the Southern region of Africa. In addition to the above, he is professional registered with the South African Council for the Architectural Profession(SACAP), Zambia Institute of Architects (ZIA), and a Project Management Professional (PMP

Discover how AI can help you identify project risks

months before they become expensive problems.

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