AI+ Project Manager™
AP-260
Streamline Project Success: AI-Enhanced Intelligent Solutions- Real-Time Integration: Learn to apply AI in project planning, decision-making, and execution
- Advanced Curriculum: Covers AI algorithms, ML, and resource allocation tools
- Multi-Disciplinary Focus: Tailored for complex, cross-functional project scenarios
- Leadership Readiness: Empowers professionals to lead AI-driven project success
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 1 day (live or virtual)
- Self-Paced: 6 hours of content

Who Should Enroll?
Project Management Professionals: Enhance your expertise by integrating AI to streamline project workflows and improve decision-making.
IT Professionals: Learn how to leverage AI technologies to optimize processes and drive innovation across multi-disciplinary projects.
Business Strategists: Gain the skills to apply AI insights to strategic planning, forecasting, and driving business growth.
Tech Enthusiasts & Innovators: Explore the practical application of AI in project management to stay ahead in the rapidly evolving tech landscape.
Students & New Graduates: Strengthen your resume with in-demand skills in AI-driven project management and prepare for the future of work.
Industry Growth: Redefining Project Timelines, Resources & Outcomes through AI
- The global AI market is expected to grow at a CAGR of 42.2% from 2023 to 2030, driving increased demand for skilled AI project managers (Source: Grand View Research).
- As more companies embrace AI, there’s a rising need for AI project managers to lead the development of AI-driven products, platforms, and applications.
- Businesses are investing heavily in AI solutions to streamline operations and improve efficiency.
- Rapid AI advancements necessitate project managers to ensure compliance with regulations, security, and ethical standards.

Skills You’ll Gain
- Applying AI in Real-Time Development Problems
- Integrating AI with Intelligent Systems
- AI Systems Usage and Incorporation
- AI Algorithms and Architectures
- AI Model Implementation
- AI Project Management Process
- Designing and Implementing AI Applications
What You'll Learn
- Course Introduction
- 1.1 AI Fundamentals
- 1.2 AI in Project Management
- 1.3 Key AI Technologies
- 1.4 Benefits and Challenges
- 1.5 Future Perspectives
- 2.1 Overview of AI Tools
- 2.2 Artificial Intelligence Tools in Action: Enhancing Project Management Efficiency
- 2.3 Selecting AI Tools
- 2.4 Implementing AI Tools
- 2.5 Case Studies
- 3.1 Importance of Data in Artificial Intelligence
- 3.2 Data Analysis Techniques
- 3.3 Applying Data Insights to Project Decisions
- 3.4 Tools for Data Visualization and Reporting
- 3.5 Challenges and Best Practices
- 4.1 AI-Enhanced Collaboration Tools
- 4.2 Boosting Productivity with AI
- 4.3 Managing Project Knowledge with AI
- 4.4 Overcoming Collaboration Challenges
- 5.1 Understanding AI Ethics
- 5.2 Identifying and Mitigating Bias
- 5.3 Developing AI Governance
- 5.4 Case Studies
- 6.1 Strategies for AI Integration
- 6.2 Choosing the Right AI Tools
- 6.3 Project Data Preparation for AI
- 6.4 AI Implementation Plan
- 6.5 Monitoring AI Integration
- 6.6 Evaluating AI Outcomes
- 6.7 Risk Management in AI Projects
- 6.8 Workshop: AI Tool Deployment
- 7.1 Emerging Trends in AI and Project Management
- 7.2 AI and the Evolving Role of the Project Manager
- 7.3 Sustainability and AI in Projects
- 7.4 Adapting to Future AI Development
- 7.5 Predictive Analysis and Future Planning
Tools You’ll Master

Hive

Wrike

Trello

ClickUp
Prerequisites
- A foundational understanding of key concepts of basic mathematics and artificial intelligence.
- Basic understanding of Computer Science concepts like programming, data structures and algorithms.
- Fundamental knowledge of keywords of AI/ML
- Willingness to engage in hands-on activities and workshops to apply AI concepts in project management scenarios
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Exam Blueprint:
- Introduction to Artificial Intelligence (AI) in Project Management - 10%
- AI Tools for Project Management - 15%
- Data-Driven Decision Making - 10%
- AI for Enhancing Team Collaboration and Productivity - 15%
- Ethical Considerations and Bias in AI - 15%
- Implementing AI in Projects - 25%
- Future of AI in Project Management - 10%
Choose the Format That Fits Your Schedule
What’s Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
Instructor-Led (Live Virtual/Classroom)
- 1 days of intensive training with live demos
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- ~6 hours of on-demand video lessons, e-book, podcasts, and interactive labs
- Learn anywhere, anytime, with modular quizzes to track progress
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Get CertifiedFrequently Asked Questions
You will learn to understand and apply AI concepts, integrate AI with real-time development problems, investigate AI ideas, design and implement AI applications, and effectively manage projects incorporating AI technologies.
This course is intended for Project Managers and IT professionals seeking to enhance their skills in AI integration and application within project management and various multi-disciplined environments.
Participants will acquire proficiency in understanding and applying AI concepts within project management contexts. They'll learn to optimize project workflows, implement AI tools effectively, and make data-driven decisions while adhering to ethical considerations and mitigating biases.
The course is structured to provide a thorough investigation of AI ideas and model implementations, starting from basic concepts and progressing to advanced applications, culminating in an interactive project management process.
The course equips participants with insights into emerging AI trends, predictive analytics, and sustainable practices in project management. They'll learn to anticipate future AI developments and integrate these advancements into their strategic planning processes.