AI+ Product Manager™
AP-250
Innovate Products Faster with AI-Enabled ManagementThis AI+ Product Manager™ certification offers a comprehensive foundation in artificial intelligence tailored for product management professionals. It begins by demystifying AI, exploring its various branches, and delving into specific AI applications within product management. Students will learn about the evolving role of an AI Product Manager and how this position is critical in bridging the gap between cutting-edge technology and practical, market-driven solutions. The module further highlights the significance of AI in product development, detailing the benefits and competitive advantages it brings to the table. By the end of this course, participants will possess a solid understanding of AI fundamentals and their application in enhancing product development processes.
Certification Duration: 8 hours (1 Day)
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Prerequisites
- 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.
Modules
8
Examination
1
50 MCQs
90 Minutes
Passing Score
70%
Certification Modules
- Course Introduction Preview
- 1.1 Understanding the Basics of artificial intelligence
- 1.2 Importance of AI
- 2.1 Introduction to Machine Learning
- 2.2 Data Preparation in ML model
- 3.1 Exploring How AI Can Be Leveraged in Ideation and Conceptualization
- 3.2 Prototyping and Testing: Explore Methods for Prototyping and Testing AI-driven Products Effectively
- 4.1 Understanding Ethical Considerations: Examine the Ethical Implications of AI Products and the Responsibility of Product Managers
- 4.2 Mitigating Bias: Learn Strategies to Identify and Address Bias in AI Algorithms and Products
- 5.1 Integration with Existing Products: Explore Methods for Integrating AI Features into Existing Products Seamlessly
- 5.2 Stakeholder Management: Understand How to Communicate AI Initiatives Effectively with Stakeholders and Gain their Support
- 6.1 Key Performance Indicators (KPIs): Identify Relevant Metrics for Measuring the Success of AI-driven Products
- 6.2 Performance Evaluation Techniques: Learn Methods for Evaluating the Performance of AI Models and Products
- 7.1 Regulatory Landscape: Explore Current Regulations and Frameworks Relevant to AI Products
- 7.2 Compliance Strategies: Develop Strategies to Ensure AI Products Comply with Regulatory Requirements
- 8.1 Emerging Technologies: Discuss Upcoming Trends and Technologies Shaping the Future of AI and Product Management
- 8.2 Strategic Planning: Learn How to Anticipate and Adapt to Future Changes in the AI Landscape to Drive Product Innovation
Certification Modules
- Course Introduction Preview
- 1.1 Understanding the Basics of artificial intelligence
- 1.2 Importance of AI
- 2.1 Introduction to Machine Learning
- 2.2 Data Preparation in ML model
- 3.1 Exploring How AI Can Be Leveraged in Ideation and Conceptualization
- 3.2 Prototyping and Testing: Explore Methods for Prototyping and Testing AI-driven Products Effectively
- 4.1 Understanding Ethical Considerations: Examine the Ethical Implications of AI Products and the Responsibility of Product Managers
- 4.2 Mitigating Bias: Learn Strategies to Identify and Address Bias in AI Algorithms and Products
- 5.1 Integration with Existing Products: Explore Methods for Integrating AI Features into Existing Products Seamlessly
- 5.2 Stakeholder Management: Understand How to Communicate AI Initiatives Effectively with Stakeholders and Gain their Support
- 6.1 Key Performance Indicators (KPIs): Identify Relevant Metrics for Measuring the Success of AI-driven Products
- 6.2 Performance Evaluation Techniques: Learn Methods for Evaluating the Performance of AI Models and Products
- 7.1 Regulatory Landscape: Explore Current Regulations and Frameworks Relevant to AI Products
- 7.2 Compliance Strategies: Develop Strategies to Ensure AI Products Comply with Regulatory Requirements
- 8.1 Emerging Technologies: Discuss Upcoming Trends and Technologies Shaping the Future of AI and Product Management
- 8.2 Strategic Planning: Learn How to Anticipate and Adapt to Future Changes in the AI Landscape to Drive Product Innovation
Tools
ChatGPT
AI Fairness 360
Power BI
IBM Watson OpenScale
Exam Objectives
AI Product Development Expertise
Learners will gain a comprehensive understanding of the AI product development lifecycle, from ideation to deployment, ensuring they can manage AI projects effectively.
Strategic AI Implementation
Students will learn how to strategize the integration of AI into products, including selecting the right AI technologies and approaches to enhance product value and user experience.
Ethics and Regulatory Compliance
Learners who will go through this course will have the knowledge on navigating the ethical considerations and regulatory landscapes associated with AI, crucial for responsible product management.
Performance Metrics and Evaluation
Learners will develop the ability to set and evaluate AI performance metrics, helping them measure the impact and effectiveness of AI features within their products.
Career Opportunities Post-Certification
Median Salaries
$1,10,079
With AI Skills
$1,67,934
% Difference
53
Product Manager
Oversees AI product lifecycle, coordinates cross-functional teams, defines product vision, and ensures alignment with market needs and company goals.
Solutions Product Manager
Manages development of AI-based solutions, identifies customer requirements, translates needs into product features, and oversees solution deployment.
Product Development Lead
Leads AI product design and development efforts, manages technical teams, prioritizes features, and drives product innovations to market.
Innovation Product Manager
Focuses on pioneering new AI products, fosters innovation within product lines, explores emerging technologies, and leads go-to-market strategies.
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Get CertifiedFrequently Asked Questions
This course will equip you with the knowledge and skills to leverage AI in product development, making you adept at integrating cutting-edge technology into practical, market-driven solutions.
This course is designed for current and aspiring product managers who want to integrate AI into their product development processes. It is suitable for individuals with a basic understanding of digital technologies and a keen interest in AI.
Absolutely. The principles and applications of AI in product management are applicable across various industries, from tech to healthcare, finance, retail, and beyond.
Yes, participants who successfully complete the course and any required assessments will receive an AI+ Product Manager™ certification.
While there are no strict prerequisites, a basic understanding of product management concepts and a keen interest in leveraging AI technologies would be beneficial.
