Course Overview
This 2-day course is designed for project managers who want to effectively lead artificial intelligence and machine learning initiatives.
Learners will identify the unique characteristics and challenges of AI/ML projects, understand common AI/ML terminology, evaluate and mitigate AI-specific risks, and lead and communicate effectively with cross-functional teams as well as key business stakeholders. .
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Using MLOps principles to guide project planning and execution, at the end of this course you will be able to design comprehensive project plans that address the unique challenges of AI/ML development, assess the feasibility and resource requirements of proposed AI/ML initiatives, break down complex AI/ML projects into manageable phases and deliverables, and critique project progress using appropriate technical and business metrics.
Course Highlights
- Duration: 2 days, 9:00 AM – 5:00 PM
- Designed for project managers leading AI/ML initiatives
- Covers AI/ML terminology, project lifecycles, MLOps, and risk management
- Learn to scope, plan, and monitor AI/ML projects with measurable outcomes
- Explore best practices for managing cross-functional teams
- Includes real-world guidance on stakeholder management and communication
- Evaluate AI-specific risks and use data-driven frameworks for governance
- Hands-on training in prompt engineering for non-technical project leaders
Why Choose the Leading AI and ML Projects course
- Expert-led training with practical demos and engaging labs
- Ideal for those seeking foundational understanding without coding experience
- Focus on applicable skills using popular GenAI tools
- Addresses current industry practices, challenges, and future outlook
- Equips learners with the ability to evaluate, use, and govern GenAI tools responsibly
- Encourages critical thinking about ethics, risks, and compliance in AI usage
Who Should Attend This Course?
- Specifically designed for project managers, with no deep technical expertise required
- Focuses on practical leadership strategies and project management frameworks tailored to AI/ML
- Equips you to lead teams of data scientists, engineers, and stakeholders with confidence
- Teaches how to apply MLOps principles for real-world implementation
- Gain skills to evaluate project feasibility, manage AI-specific risks, and track success using business and technical metrics
- Provides in-demand knowledge for navigating the growing field of AI/ML project leadership
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Entry Requirements
This course assumes a foundational understanding of project management.
Exam
There is no exam required at the end of this course.
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