TRAINING OVERVIEW

Project management is evolving—and so should the way we execute projects. This course dives into how Artificial Intelligence (AI) and Robotic Process Automation (RPA) are reshaping project execution strategies. Through hands-on labs, real-world use cases, and emerging tools, participants will uncover smarter, faster ways to execute, monitor, and adapt projects using intelligent automation.

TRAINING TOPICS

• Fundamentals of AI & RPA in the project lifecycle
• Automating project workflows using RPA bots
• AI for predictive project risk and schedule analytics
• Cognitive automation and smart process orchestration
• Task prioritization and intelligent resource matching
• Natural Language Processing for project communications
• Integration of AI tools with project management platforms
• Ethics and governance in AI-RPA-powered execution
• Case studies of AI and RPA in action
• Tools: UiPath, Microsoft Power Automate, Monday.com, Trello AI

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO

• Understand the AI & RPA landscape in project execution
• Automate routine and rule-based project tasks
• Predict project risks and adjust plans using AI insights
• Integrate AI tools into Agile and PMO ecosystems
• Use RPA for data collection, task updates, and reporting
• Communicate effectively using AI-powered bots and assistants
• Design intelligent workflows that adapt to change
• Evaluate AI/RPA solutions for project scalability

TRAINING IS TAILORED TO

• Project and Program Managers
• PMO Leaders and Analysts
• Process Improvement Specialists
• Automation Engineers
• Digital Transformation Consultants
• Business Analysts and Solution Architects

TRAINING METHODOLOGY

This course combines expert lectures, live tool demonstrations, RPA bot development labs, group case simulations, and real-world implementation planning. Participants will build and deploy automated workflows and AI dashboards for live project data analysis.

DAY ONE: INTRODUCTION TO AI & RPA IN PROJECT DELIVERY

• Key trends and benefits of intelligent automation in projects
• Overview of AI capabilities for project environments
• Understanding RPA and its architecture
• Mapping the project lifecycle for automation
• Identifying automation-ready project tasks
• Demo: UiPath and Power Automate for task automation

DAY TWO: SMART WORKFLOW DESIGN & AUTOMATION

• Building end-to-end automated workflows
• Role of cognitive services (OCR, ML) in RPA
• Intelligent form processing and data entry automation
• Trigger-based task execution with business rules
• Demo: Creating RPA bots to handle project initiation
• Workshop: Design your own workflow bot

DAY THREE: AI-ENABLED PROJECT INSIGHTS & RISK MITIGATION

• Machine Learning models for project prediction
• Forecasting schedule delays and budget overruns
• AI in stakeholder engagement and risk communication
• NLP for real-time project sentiment tracking
• AI-based alerts and dashboard configurations
• Tool Demo: Power BI AI visuals for project health

DAY FOUR: INTEGRATING AI/RPA WITH PROJECT PLATFORMS

• Connecting bots with Jira, MS Project, Asana, Trello
• Automating project status reporting and alerts
• Embedding AI in agile sprint planning
• AI assistants in project communication (e.g., ChatGPT)
• Security and compliance considerations
• Workshop: End-to-end automation of a project phase

DAY FIVE: IMPLEMENTATION STRATEGIES & CASE SIMULATIONS

• Assessing project automation maturity
• Roadmap for enterprise-wide RPA and AI adoption
• Change management for AI-driven project culture
• Lessons learned from real-world implementations
• Final simulation: Launching an intelligent project execution plan
• Certification and wrap-up