GENERATIVE AI FOR PROJECT MANAGERS
AI & Project Management Innovation
What’s Included?
- Duration: Required study hours: 30 hours
- Training Mode: Online live interactive – Instructor led training program
- Experience Level: Beginner to Intermediate
- Extra Material: AI frameworks, prompt templates & real project case studies
- Practical Excercises: Hands-on AI prompts, chatbot creation & automation activities
Enroll today and learn how to apply Generative AI across the entire project lifecycle!
Master Generative AI for Project Management
This intensive program equips professionals with practical knowledge to integrate Generative AI into real-world project environments. The course combines project management principles with modern AI tools to improve planning, governance, monitoring, and performance analysis.
Participants will learn how to use AI for project scheduling, forecasting, documentation, reporting, stakeholder communication, and risk management. The training includes hands-on practice in prompt engineering, building simple AI agents, creating no-code chatbots, and applying AI across the project lifecycle.
By the end of the course, you will gain the ability to automate repetitive project tasks, enhance decision-making using AI insights, and develop intelligent documentation systems that support executives, PMOs, and delivery teams.
Course Features:
- Live Instructor Led Coaching Sessions : Via Zoom or Face to Face at Specific Locations.
- Lifetime E Learning Access: Enjoy unlimited access to all course Videos, including future updates, Along with Live Instructor Guided Workshops.
- Comprehensive Curriculum: From beginner to advanced topics, master every aspect of Gen AI in Project Management.
- Real-World Projects: Work on hands-on projects that mimic real business challenges to build practical experience.
- Community Engagement: Join a network of learners and professionals to share insights and collaborate
Course Benefits:
- Automate project documentation, reporting, and communication
- Improve project planning, estimation, and forecasting using AI
- Strengthen decision-making with predictive insights
- Build AI-powered chatbots and virtual assistants for project teams
- Enhance governance, compliance, and performance tracking
- Gain practical skills applicable to PMO, engineering, and enterprise environments
Course Curriculum
1.1 Introduction to Power BI
1.2 Downloading Power BI & Adjusting Settings
1.3 Introduction to Curriculum
1.4 Exploring the Power BI Desktop Interface & Workflow
2.1 Introduction to Prompt Engineering for Project Management Professionals
2.2 Different Types of Prompting Scenarios
2.2.1 Descriptive Prompts for Project Selection Criteria
2.2.2 Instructional Prompts to Augment Complex Tasks
2.2.3 Creative Prompts to Foster Innovation
2.2.4 Persona-Based Prompts to Augment Specific Roles - Governance & Strategic Augmentation
2.2.5 Contextual Prompts
2.2.6 Numbers & Data-Based Prompts for Project Controls
2.3 Advanced Gen AI Prompting Techniques for Project Management
2.3.1 Variable Prompting for Concise Responses
2.3.2 Mixing Variables & Personas
2.3.3 Knowledge Source Prompting
2.3.4 Chain-of-Thought Prompts for Project Process Automation
2.3.5 Reasoners & Agents
3.1 Conduct feasibility studies and analysis with Gen AI.
3.2 Utilize AI-driven project portfolio prioritization.
3.3 Define augmented virtual agents by mapping with Project Management Plan.
3.4 Develop a planning framework using Gen AI for cost, schedule, and scope estimation.
3.5 Foster alternative approaches based on project specifications.
3.6 Engage stakeholders with automated communication and analysis using AI.
3.7 Develop system instructions for project controls.
3.8 Create AI bots for project documentation.
3.9 Perform contextual mapping between instructions and organizational process assets.
4.1 Use Gen AI for advanced cost and schedule predictions.
4.2 Apply Gen AI for qualitative and quantitative risk analysis.
4.3 Implement Gen AI for advanced project monitoring and controlling, including stakeholder behavioral and sentiment analysis.
4.4 Conduct resource analysis, optimization, and forecasting with AI.
4.5 Perform delay analysis and optimization using AI tools.
4.6 Analyze overall project numbers in financial, procurement, and legal aspects using AI.
4.7 Develop AI bots for governance and documentation.
4.8 Simplify compliance and rules using AI bots
5.1 Automate project management document preparation and ensure correctness as per organizational templates.
5.2 Conduct large-scale risk data analysis and sentiment analysis using AI.
5.3 Design effective project management presentations with AI assistance.
5.4 Create conversational AI bots for automated reinforcement.
5.5 Explore AI-based Enterprise Project Portfolio Management (EPPM) systems.