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. 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. Essential AI/ML Terminology and ConceptsUnderstanding AI/ML Project FundamentalsAI/ML Project Lifecycle and MethodologiesScoping and Planning AI/ML ProjectsBuilding and Managing AI/ML TeamsRisk Management in AI/ML ProjectsStakeholder Management and CommunicationMonitoring and Measuring SuccessPrompt Engineering for
