Course Details

Generative AI & Prompt Engineering for PMs Training Course

Introduction

Harness the power of the AI revolution and become an indispensable project leader with our "Generative AI & Prompt Engineering for PMs" training course. In an era where AI tools are rapidly transforming workflows, mastering the art of prompt engineering is no longer a luxury but a necessity for project managers. This intensive 10-day program will equip you with the practical skills to craft effective prompts, leveraging generative AI to streamline project documentation, optimize communication, and gain deeper insights through advanced analysis. Transform your productivity, elevate your decision-making, and lead your projects with cutting-edge AI capabilities.

Duration

10 Days

Target Audience

This course is specifically designed for project managers, program managers, project coordinators, business analysts, and any project professional looking to integrate cutting-edge AI tools into their daily workflows. It is particularly beneficial for those who want to:

• Enhance their efficiency in documentation and report generation.
• Improve clarity and effectiveness in project communication.
• Leverage AI for deeper insights from project data.
• Understand how to ethically and effectively interact with generative AI models.
• Stay ahead of the curve in project management technology.

Course Objectives

Upon successful completion of the "Generative AI & Prompt Engineering for PMs" training course, participants will be able to:

• Understand the core concepts of Generative AI (Gen AI) and Large Language Models (LLMs) and their relevance to project management.
• Master the principles of prompt engineering, including structuring effective prompts and utilizing various prompting techniques.
• Apply generative AI tools to significantly enhance the creation, summarization, and refinement of project documentation.
• Leverage AI for more efficient and clear project communication, including stakeholder updates and team messaging.
• Utilize generative AI for advanced project data analysis, identifying trends, and generating insightful reports.
• Develop strategies for integrating AI tools into existing project management workflows and software.
• Understand the ethical considerations, potential biases, and data privacy implications of using Gen AI in projects.
• Implement best practices for ensuring accuracy, consistency, and reliability of AI-generated content.
• Identify opportunities to automate repetitive project management tasks using Gen AI and prompt engineering.
• Formulate a personalized strategy for continuous learning and application of Gen AI in their project management career.

Course Modules

Module 1: Introduction to Generative AI for Project Managers

• What is Generative AI? Understanding LLMs and their capabilities.
• The transformative potential of Gen AI in the project management landscape.
• Distinguishing Gen AI from other AI types (e.g., predictive AI).
• Overview of popular Gen AI tools relevant to project managers (e.g., ChatGPT, Gemini, Claude).
• Setting expectations: What Gen AI can and cannot do (hallucinations, data privacy).

Module 2: Fundamentals of Prompt Engineering

• Defining a prompt and its importance in guiding AI output.
• The "Art and Science" of prompt engineering: Specificity, context, tone, examples.
• Basic prompt structures: Instruction, persona, format, constraints.
• Iterative prompting: Refining prompts for desired outcomes.
• Hands-on exercises with simple prompts for common PM tasks.

Module 3: Prompt Engineering for Project Documentation

• Automating project charters, scope statements, and requirement documents.
• Generating comprehensive meeting minutes and action item lists from transcripts.
• Summarizing lengthy reports, emails, and stakeholder feedback.
• Crafting clear and concise user stories, epics, and acceptance criteria.
• Using AI for consistency in terminology and formatting across documents.

Module 4: Enhancing Project Communication with Generative AI

• Drafting professional emails and announcements for project updates.
• Crafting persuasive stakeholder presentations and executive summaries.
• Generating compelling project proposals and business cases.
• Using AI for sentiment analysis of team communication and feedback.
• Localizing communication for diverse international project teams.

Module 5: AI for Project Analysis and Reporting

• Generating preliminary risk registers and identifying potential issues from project data.
• Creating draft root cause analyses and lessons learned documents.
• Summarizing complex data sets into actionable insights.
• Developing various report formats: Status reports, variance reports, performance dashboards.
• Leveraging AI to analyze trends and identify patterns in project metrics.

Module 6: Advanced Prompting Techniques

• Chain-of-Thought Prompting: Breaking down complex tasks for AI.
• Few-Shot Prompting: Providing examples for desired output styles.
• Role-Playing Prompts: Guiding AI to adopt specific personas (e.g., "Act as a risk manager").
• Constraint-Based Prompting: Setting strict rules for AI output.
• Utilizing prompt libraries and templates for efficiency.

Module 7: Integrating Generative AI into PM Workflows

• Identifying suitable project management processes for AI augmentation.
• Strategies for integrating AI tools with existing PM software (e.g., project management platforms, collaboration tools).
• Automating repetitive tasks: Reminders, status updates, data entry.
• Building custom prompts for recurring project activities.
• The future of automated PM workflows with Gen AI.

Module 8: Ethical AI, Bias, and Data Privacy in PM

• Understanding potential biases in AI models and their impact on project decisions.
• Strategies for mitigating bias and ensuring fair and objective AI outputs.
• Data privacy and security considerations when using Gen AI with sensitive project information.
• Ensuring the accuracy and reliability of AI-generated content (fact-checking, verification).
• Legal and compliance implications of AI in project documentation and communication.

Module 9: The Human-AI Collaboration in Project Management

• The evolving role of the Project Manager in an AI-augmented environment.
• How AI frees up PMs for more strategic and high-value activities.
• Fostering critical thinking and judgment when using AI tools.
• Managing the human element: Upskilling teams, addressing fears, encouraging adoption.
• Cultivating a culture of experimentation and responsible AI use.

Module 10: Future Trends and Personal Application

• Emerging trends in Generative AI (e.g., multimodal AI, autonomous agents).
• The long-term impact of Gen AI on the project management profession.
• Continuous learning strategies for staying current with AI advancements.
• Developing a personal prompt engineering toolkit and best practices.
• Creating an action plan for immediate application of Gen AI in your projects.

CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com