# AI for Project Management (Self-Paced)

Canonical URL: <https://training-nyc.com/courses/ai-for-project-management-self-paced>

## Overview

This self-paced course shows how artificial intelligence gets applied to project management in practice. Natural language processing, machine learning, and generative AI each get attention, along with what they contribute to planning, executing, and monitoring a project.

Worked examples and hands-on activities demonstrate where AI makes tasks such as risk analysis, scheduling, reporting, and stakeholder communication simpler. The course also addresses the limitations of AI and the ethical and compliance requirements that apply when organizations put it to work.

## What you'll learn

- Explain artificial intelligence and its central concepts, among them natural language processing, machine learning, and generative AI, as they relate to project management
- Show how AI tools reinforce project planning, scheduling, risk management, reporting, and stakeholder communications
- Apply actual cases of AI in professional project environments to improve efficiency and support stronger decision-making
- Identify the ethical, legal, and compliance issues that govern how AI is adopted and used, such as bias, privacy, transparency, and emerging AI governance standards

## Curriculum

#### Module 1: AI 101 for Project Managers

- Define artificial intelligence and distinguish narrow vs. general AI
- Introduce core concepts: natural language processing (NLP), machine learning (ML), and generative AI
- Debunk common myths and set realistic expectations for AI capabilities and limits

#### Module 2: Why AI for Project Management

- Examine how AI is changing the modern workplace and project environments
- Map AI-enabled skills to PMI’s Talent Triangle® (Ways of Working, Power Skills, Business Acumen)
- Identify future-readiness steps for managing projects alongside AI tools

#### Module 3: AI Applications for Project Management — Planning

- Use AI to clarify project charters, scope statements, and WBS drafts
- Leverage AI for requirements gathering, stakeholder analysis, and risk identification prompts
- Apply AI-assisted estimation and scenario exploration to inform baselines

#### Module 4: AI Applications for Project Management — Scheduling, Risk, & Communications

- Generate schedule drafts, dependencies, and what-if analyses with AI assistants
- Strengthen risk analysis with pattern detection, probability cues, and mitigation optioning
- Enhance reporting and stakeholder communications with AI-written summaries and visuals

#### Module 5: Ethical, Legal, and Practical Considerations

- Address bias, privacy, transparency, and data provenance in federal contexts
- Define appropriate human-in-the-loop controls and oversight
- Align usage with federal AI guidance, policies, and compliance requirements

#### Module 6: Preparing for AI Integration

- Create a strategy for selecting, piloting, and scaling AI use cases
- Develop a communication plan for stakeholders, leadership, and teams
- Incorporate change management, training, and governance into rollout plans

## Pricing

**Tuition:** $899