AI has moved from a side skill to the operating layer of modern project delivery, shaping how teams plan, forecast, and report. This AI Project Management Certification Course blends established delivery frameworks with practical exposure to agentic AI systems, GenAI-assisted documentation, predictive analytics, and responsible-AI governance. You will configure real AI-enabled PM tools, build AI-integrated project plans, manage a simulated AI project end to end, and prepare for recognized AI project management certification exams.
This course is designed to be accessible to working professionals while remaining rigorous enough for certification preparation. Before enrolling, learners should ideally have:
This certification training is built for professionals who already touch project delivery and want to lead AI-enabled initiatives rather than be displaced by them.
Organizations across banking, healthcare, retail, and technology are creating dedicated roles for professionals who can bridge AI capability with disciplined delivery. After completing this training, you will be positioned for roles such as:
igmGuru has trained professionals from global enterprises across cloud, data, Agile, and AI domains, and brings that same delivery model to AI project management.
On completing the training, hands-on labs, and the capstone project, you will receive the igmGuru AI Project Manager Certification - a verifiable, LinkedIn-shareable Course Completion Certificate that validates your ability to plan, govern, and deliver AI-integrated projects using agentic workflows, predictive analytics, and responsible-AI practices.
This training is also designed to build the conceptual and practical foundation needed to pursue widely recognized industry certifications, including PMI's Certified Professional in Managing AI (PMI-CPMAI), the AI+ Project Manager Fundamentals certification, and similar AI project management credentials. Learners pursuing an external certification receive guided exam-prep support, but should confirm current eligibility, cost, and exam requirements directly with the respective certifying body, as these are set independently of igmGuru.
It is a structured training program that teaches project managers how to plan, execute, and govern AI and machine learning projects using agentic AI tools, predictive analytics, and responsible-AI frameworks, backed by hands-on labs and a capstone project.
No. This course is built for project management professionals, not developers. You will work with AI tools at the application level, not build models from scratch.
A regular PM course focuses on scope, schedule, and budget. This course adds AI-specific skills — agentic workflow design, predictive forecasting, AI governance, and managing AI/ML project phases — on top of core delivery fundamentals.
The curriculum aligns with the knowledge areas tested in certifications such as PMI-CPMAI and AI+ Project Manager Fundamentals, and includes dedicated exam-prep practice sessions.
Every module includes a hands-on lab using real AI-enabled PM tools, and the course closes with a capstone project simulating a full AI project lifecycle.
Yes. Most learners join with an existing PMP, CAPM, or CSM background and use this course to add an AI specialization rather than replace their existing credential.
An AI Project Manager focuses on delivery - planning, timelines, risk, and governance for AI initiatives. An AI Product Manager focuses on the product strategy and roadmap for AI-powered features. Some organizations combine both responsibilities in one role.
The core program runs 32 hours across live instructor-led sessions and hands-on labs, with lifetime self-paced access to revisit material and complete the capstone at your own pace.
You receive a verifiable igmGuru AI Project Manager Certification upon completing the training, labs, and capstone project.
Graduates typically pursue roles such as AI Project Manager, AI Program Manager, AI Delivery Lead, Technical Project Manager for AI/ML initiatives, and AI Governance & Risk Manager.
