Course Introduction

Project Management with ChatGPT and Generative AI Course provides project professionals with practical capabilities for applying conversational AI and generative AI technologies across the complete project lifecycle. The course focuses on how project managers can use AI to improve planning, analysis, documentation, communication, coordination, problem-solving, reporting, and decision support while retaining appropriate human judgment and accountability.

ChatGPT and other generative AI technologies can help project professionals process large volumes of information, create structured content, summarize complex material, generate ideas, analyze project scenarios, and adapt information for different audiences. Participants will learn how to provide effective prompts, project context, source information, constraints, and desired outputs so that generative AI produces more useful and relevant results for professional project environments.

The course explores practical applications across project initiation and planning, including project charter development, requirements analysis, stakeholder identification, scope definition, work breakdown structures, activity planning, assumptions, constraints, and project documentation. Participants will learn how generative AI can accelerate preparation and analysis while applying verification techniques to ensure that outputs remain accurate, complete, relevant, and aligned with approved project requirements.

During project execution, monitoring, and control, participants will learn how to use ChatGPT and generative AI to support meeting preparation, action tracking, risk and issue analysis, change management, stakeholder communications, project status reporting, lessons learned, and management briefings. The emphasis is on converting AI-generated information into practical project insights and decisions rather than treating generated content as a substitute for professional expertise.

The course also addresses the responsible use of generative AI in project environments. Participants will examine hallucinations, inaccurate recommendations, bias, incomplete information, confidentiality, personal data, intellectual property, cybersecurity, prompt injection, data leakage, and automation bias. Practical approaches to human review, source validation, approval controls, secure information handling, and AI governance will be integrated throughout the course.

By the end of the course, participants will be able to use ChatGPT and generative AI as practical project management assistants, create reusable prompting approaches, accelerate routine project work, improve project information quality, and support better communication and decision-making. The course also explores emerging developments including multimodal generative AI, AI project assistants, retrieval-augmented generation, AI agents, intelligent project workflows, and increasingly autonomous project management capabilities.

Duration

5 days

Who Should Attend

• Project managers responsible for leading projects from initiation through closure

• Program and portfolio managers seeking practical generative AI applications

• Project coordinators supporting planning, communication, documentation, and delivery

• PMO professionals responsible for project governance, reporting, and operational support

• Project planners working with schedules, dependencies, resources, and project controls

• Project controls professionals supporting performance, risk, cost, schedule, and change management

• Business analysts responsible for requirements, stakeholder analysis, and project documentation

• Project administrators seeking to improve productivity through AI-assisted workflows

• Team leaders coordinating project activities, deliverables, meetings, and stakeholder interactions

• Project management consultants advising organizations on delivery improvement and digital transformation

• Risk and issue managers seeking AI-assisted identification, analysis, and response planning capabilities

• Professionals responsible for project reporting, executive briefings, and stakeholder communications

• Change managers supporting AI adoption and transformation initiatives within project environments

• PMO analysts seeking to introduce generative AI into project governance and support processes

• Professionals preparing to develop practical generative AI skills for modern project management

Course Objectives

• Apply ChatGPT and generative AI effectively across project initiation, planning, execution, monitoring, control, and closure activities.

• Develop high-quality prompts that provide appropriate context, objectives, constraints, examples, source information, and output requirements for project tasks.

• Use generative AI to accelerate project charter development, requirements analysis, scope definition, work planning, stakeholder analysis, and project documentation.

• Apply ChatGPT to summarize, transform, organize, and analyze project information while maintaining source awareness and professional quality standards.

• Use generative AI to support project risk, issue, dependency, change, resource, schedule, and performance analysis throughout the project lifecycle.

• Improve project communication by using AI to draft stakeholder messages, meeting materials, status reports, executive briefings, and project correspondence.

• Apply AI-assisted techniques for meetings, action tracking, decision documentation, lessons learned, knowledge capture, and project coordination.

• Critically evaluate AI-generated outputs for accuracy, completeness, relevance, bias, unsupported assumptions, hallucinations, and alignment with project requirements.

• Apply responsible generative AI practices involving confidential information, personal data, intellectual property, cybersecurity, governance, and human accountability.

• Design practical ChatGPT and generative AI workflows that improve project productivity, decision support, collaboration, reporting, and delivery without replacing appropriate human judgment.

Comprehensive Course Outline

1. Foundations of ChatGPT and Generative AI for Project Management

• Understanding ChatGPT, generative AI, large language models, conversational AI, and their relevance to modern project management practices.

• Exploring how generative AI can support project planning, analysis, communication, documentation, coordination, problem-solving, and decision-support activities.

• Identifying appropriate AI use cases across project lifecycle stages while distinguishing between assistance, automation, and decisions requiring human accountability.

• Understanding generative AI capabilities, limitations, context sensitivity, hallucinations, knowledge boundaries, and the importance of validating AI-generated project outputs.

2. Prompt Engineering and Context Design for Project Professionals

• Designing effective project management prompts using roles, objectives, context, constraints, source information, examples, formats, and expected outcomes.

• Applying structured prompting, iterative refinement, decomposition, role prompting, chain-of-thought alternatives, and evaluation techniques to improve AI-assisted project outputs.

• Developing reusable prompt libraries for planning, reporting, risk analysis, stakeholder communication, meetings, documentation, and project controls.

• Managing context and information quality to reduce ambiguity, unsupported assumptions, irrelevant responses, inconsistent outputs, and other common generative AI challenges.

3. Generative AI for Project Initiation, Scope, and Requirements

• Using ChatGPT to support project charter development, objectives, success criteria, assumptions, constraints, stakeholder considerations, and initial project documentation.

• Applying generative AI to analyze business requirements, stakeholder expectations, statements of work, specifications, and other project initiation information.

• Using AI to identify ambiguities, gaps, conflicting requirements, assumptions, dependencies, and questions requiring further stakeholder clarification.

• Applying human review and validation to ensure AI-assisted scope and requirements outputs remain aligned with approved business needs and organizational governance.

4. Generative AI for Project Planning and Work Breakdown

• Using ChatGPT to support work breakdown structure development, deliverable decomposition, activity identification, planning assumptions, and project planning documentation.

• Applying generative AI to develop alternative planning approaches, identify dependencies, organize milestones, and explore potential sequencing considerations.

• Using AI to support resource planning, responsibility definitions, communication planning, procurement considerations, and quality planning activities.

• Integrating AI-generated planning content with established project management methods while ensuring that schedules, estimates, responsibilities, and commitments receive appropriate professional validation.

5. Generative AI for Risk, Issues, Changes, and Project Controls

• Applying ChatGPT to identify potential project risks, issues, dependencies, assumptions, early warning signals, and areas requiring additional investigation.

• Using generative AI to structure risk descriptions, analyze potential causes and impacts, develop response options, and prepare risk review materials.

• Applying AI to support change analysis by examining potential effects on scope, schedule, cost, resources, quality, stakeholders, and project objectives.

• Using AI-assisted project controls to analyze performance information, identify exceptions, generate management questions, and support evidence-based project reviews.

6. Generative AI for Meetings, Communication, and Collaboration

• Using ChatGPT to prepare meeting agendas, briefing notes, discussion questions, stakeholder talking points, and decision-oriented meeting materials.

• Applying generative AI to summarize meeting information, extract decisions, organize action items, identify commitments, and prepare follow-up communications.

• Using AI to draft project emails, stakeholder updates, escalation messages, team communications, announcements, and other professional correspondence.

• Adapting project information for different audiences by using generative AI to adjust structure, terminology, detail, tone, and emphasis without compromising factual accuracy.

7. Generative AI for Reporting, Analysis, and Executive Briefings

• Using ChatGPT to transform project data and detailed information into structured status reports covering progress, milestones, risks, issues, changes, and priorities.

• Applying generative AI to prepare concise executive summaries that highlight significant developments, business impacts, decisions required, and emerging concerns.

• Using AI-assisted analysis to identify patterns, recurring problems, trends, exceptions, and relationships across project information and documentation.

• Strengthening project storytelling and management communication by combining AI-generated narratives with validated project evidence, metrics, and professional judgment.

8. Generative AI for Documentation, Knowledge, and Lessons Learned

• Using ChatGPT to draft, refine, summarize, restructure, standardize, and quality-check project documents while maintaining appropriate organizational requirements.

• Applying generative AI to capture lessons learned from project reports, meetings, risks, issues, changes, feedback, and project experiences.

• Using AI to organize project knowledge, classify information, generate searchable summaries, and support knowledge reuse across projects and teams.

• Exploring retrieval-augmented generation, enterprise knowledge systems, document-grounded AI, and conversational knowledge interfaces for project information management.

9. Responsible, Secure, and Governed Use of Generative AI

• Understanding risks associated with hallucinations, fabricated information, bias, outdated knowledge, misleading recommendations, automation bias, and inappropriate AI reliance.

• Applying secure information-handling practices when working with confidential project data, personal information, contracts, financial information, intellectual property, and sensitive business content.

• Establishing human verification, approval, traceability, source validation, and accountability practices for AI-assisted project deliverables and recommendations.

• Developing practical generative AI governance guidelines covering acceptable use, data protection, prompt practices, output validation, cybersecurity, intellectual property, and responsible adoption.

10. Advanced Generative AI, AI Agents, and the Future of Project Management

• Exploring multimodal generative AI capabilities for working with text, documents, images, diagrams, presentations, structured information, and other project artifacts.

• Understanding retrieval-augmented generation, enterprise AI assistants, intelligent project knowledge systems, and AI-enabled decision-support environments.

• Examining AI agents and agentic workflows that can monitor project information, initiate tasks, coordinate activities, and support increasingly autonomous project processes.

• Evaluating emerging trends including AI-powered project assistants, autonomous project controls, intelligent workflow orchestration, multi-agent project teams, and human-AI project collaboration.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.