Lead Responsible AI Projects: From Core Concepts to Strategic Implementation
Develop the skills to lead AI-driven projects responsibly with our Project Manager Program. This path emphasizes aligning AI project outcomes with business objectives while upholding ethical standards and navigating regulatory landscapes.
- Strengthen your understanding of AI fundamentals and practical applications
- Embed ethical considerations into project planning and execution
- Identify impactful AI use cases that solve real business challenges
- Confidently manage AI projects that align with regulatory and organizational priorities
Why Project Management in AI Matters Now 𖣠
As AI becomes integral to strategic business initiatives, the role of a Project Manager in overseeing AI projects has never been more critical. New regulatory frameworks, such as the EU AI Act, underscore the need for responsible AI project management that goes beyond technical execution to focus on alignment with business goals and ethical standards.
This learning path equips project managers with essential knowledge to lead AI projects responsibly. By understanding both foundational AI concepts and advanced compliance standards, participants will learn to guide projects from inception to completion with a balanced approach to innovation and responsibility.
Comprehensive 6-Course Journey
Progressive Learning Path with Real-World Application
Introduction to AI
Focus: Overview of AI concepts, generative AI, and practical applications.
Duration: 4 hours
Goal: Build an understanding of AI fundamentals and potential use cases.
Introduction to AI Ethics
Focus: Ethical principles, transparency, and fairness in AI.
Duration: 4 hours
Goal: Ensure that AI projects align with ethical standards and company values.
Identifying AI Use Cases
Focus: Developing AI solutions tailored to business needs, mapping workflows, addressing pain points.
Duration: 4 hours
Goal: Help participants identify and prioritize AI use cases that align with their organization’s goals.
Introduction to AI Standards & Regulation
Focus: Regulatory compliance with AI laws and standards.
Duration: 4 hours
Goal: Ensure AI systems comply with existing regulations.
Leadership in the Age of AI
Focus: Adapting leadership styles to the challenges of AI development.
Duration: 1 day
Goal: Equip managers with skills to lead AI teams effectively.
IEEE CertifAIEd™ Assessor Training
Focus: Ethical accountability, transparency, and bias in AI.
Duration: 3.5 days
Goal: Earn certification in AI ethics to guide teams toward responsible AI practices.