CODE: FP29
DURATION: 5 Days/10 Days
CERTIFICATIONS: CPD
This course introduces the application of artificial intelligence and data analytics in evaluating Public-Private Partnership (PPP) projects. It explores how advanced analytical tools can improve project appraisal, risk assessment, financial modeling, and performance monitoring. Through practical exercises from energy, transport, and social infrastructural projects, the course bridges the gap between digital innovation and infrastructure finance. Participants in this field will be taught to leverage AI-driven insights and data-driven techniques to enhance decision-making, optimize value-for-money assessments, and increase transparency throughout the PPP lifecycle.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Apply predictive analytics to traffic/revenue forecasting.
Automate risk identification using NLP contract analysis.
Optimize site selection with geospatial machine learning.
Develop AI-enhanced feasibility study methodologies.
Balance algorithmic insights with institutional knowledge.
Audit AI tools for PPP evaluation compliance.
At the end of this course, you’ll understand:
Based on the blend of AI & Project Management, the course has been tailored for PPP unit managers, infrastructure financiers, project developers, and government procurement specialists seeking to modernize evaluation processes. The course equally benefits data scientists transitioning to infrastructure roles, consulting engineers adopting predictive analytics, and legal advisors working on tech-enabled contracts. Professionals in the field of project management involved in preparing or assessing PPP projects who needs to integrate data-driven insights into traditional appraisal frameworks can take this course.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
