AI+ Product Manager Fundamentals™
- From 200 EUR + VAT
- Self-paced online Start anytime
- Duration 8 hours of content, self-paced
- Language English
- Topic AI Business
Overview
What the course covers
The course, the materials and the exam are in English. The description below is the original AI CERTs® text.
- Product Innovation: Leverage AI to drive product development and market fit
- Concept to Execution: Explore AI applications in real product lifecycle scenarios
- Market Advantage: Bridge the gap between tech innovation and customer needs
- Leadership Ready: Prepare for leading roles in fast-evolving product ecosystems
Prerequisites
Basics of digital technologies, open mindset towards learning new concepts, fundamental AI/ML concepts
Audience
Who is it for
Product Managers: Enhance your skills by integrating AI into product development processes and drive innovation.
Aspiring Product Managers: Gain a strong foundation in AI-driven product management strategies to kickstart your career.
Technology Enthusiasts: Leverage AI tools to optimize product strategies and create impactful product experiences.
Business Analysts: Apply AI to streamline product development processes and enhance decision-making for better product outcomes.
Students & Fresh Graduates: Prepare for a successful career in AI product management by mastering the skills that top companies demand.
In the price
What the price includes
- Self-paced online course with the full learning material
- The official AI CERTs® exam
- Digital badge after passing the exam
Course content
Syllabus
Certification Overview
Course Introduction Preview
Module 1: Introduction to Artificial Intelligence (AI) for Product Managers
1.1 Understanding the Basics of artificial intelligence 1.2 Importance of AI
Module 2: Fundamentals of Machine Learning
2.1 Introduction to Machine Learning 2.2 Data Preparation in ML model
Module 3: AI Product Development Lifecycle
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
Module 4: AI Ethics and Bias
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
Module 5: AI Implementation Strategies
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
Module 6: AI Metrics and Performance Evaluation
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
Module 7: AI Regulation and Compliance
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
Module 8: Future Trends in AI and Product Management
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
Optional Module: AI Agents for Product Management
1. Understanding AI Agents 2. Case Studies 3. Hands-On Practice with AI Agents
Exam
About the exam
- 50 Questions
- 90 min Time limit
- 70% Pass mark
- Online proctored exam
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