AI+ Product Manager
The AI+ Product Manager course equips professionals with essential AI knowledge, focusing on machine learning, AI ethics, and product development. It covers the AI product development lifecycle, strategies for seamless AI integration, and methods to address bias. Participants will explore key performance metrics, regulatory frameworks, and emerging AI trends to drive innovation. This course is designed for those seeking AI product manager certification and expertise. Ideal for anyone looking for the best AI courses for product managers.
All students receive:
- One-Year Subscription (with all updates)
- High-Quality E-Book
- Al Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Exam Study Guide
- Proctored Exam with one Free Retake
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
Train face-to-face with the live instructor.
Access to on-demand training content anytime, anywhere.
Attend the live class from the comfort of your home or office.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.
All Sunset Learning dates are guaranteed to run!
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Prerequisites:
Required:
- Understanding the basics of digital technologies and their influence on various aspects of professional life
- Interest in learning about the integration of AI technologies within product development
- Participants should have an open mindset towards learning new concepts and technological developments.
Recommended:
- AI+ Everyone or AI+ Executive
Target Audience:
- Product Owner
- Product Designer
- Business Managers
- IT Professional
Course Objectives:
- Equip product managers with essential knowledge on the basics, significance, and data handling aspects of AI and machine learning.
- Educate on the entire AI product development process, from ideation through integration, to enhance the creation of AI features in products.
- Emphasize the importance of understanding and mitigating ethical issues and biases in AI to uphold high ethical standards in product management.
- Provide strategies for integrating AI technologies into existing products smoothly and ensure effective stakeholder communication for successful adoption.
- Keep product managers up-to-date with emerging AI trends and regulatory requirements to foster innovation and ensure compliance.
Course Outline:
Introduction to Artificial Intelligence (AI) for Product Managers
- Understanding the Basics of artificial intelligence
- Importance of AI
Fundamentals of Machine Learning
- Introduction to Machine Learning
- Data Preparation in ML model
AI Product Development Lifecycle
- Exploring How AI Can Be Leveraged in Ideation and Conceptualization
- Prototyping and Testing: Explore Methods for Prototyping and Testing AI-driven Products Effectively
AI Ethics and Bias
- Understanding Ethical Considerations: Examine the Ethical Implications of AI Products and the Responsibility of Product Managers
- Mitigating Bias: Learn Strategies to Identify and Address Bias in AI Algorithms and Products
AI Implementation Strategies
- Integration with Existing Products: Explore Methods for Integrating AI Features into Existing Products Seamlessly
- Stakeholder Management: Understand How to Communicate AI Initiatives Effectively with Stakeholders and Gain their Support