Gen AI for Project Mangement in Doha, Qatar

1.Map Gen AI capabilities with project management framework.
2.Critically differentiate between the use cases of Humans with AI, Augmented AI, and AI Automation for project management processes.
3.Discuss with your peers about your objectives and expectations of AI systems in project management applications

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

• 2.3.1 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.

1. How to design a project framework incorporating AI elements.
2. How to develop a project management plan based on synthetic personas.
3. Assess and identify risks on large-scale data sets and events using AI.
4. Forecast project constraints based on machine learning models.
5. How to implement project KPI governance with AI tools.
6. How to optimize resource utilization using AI-driven strategies.
7. Manage stakeholder governance using AI-based communication platforms.
8. Perform safety and hazard analysis using AI vision capabilities.
9. Tailor AI to work for specific project management tasks and challenges.