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AI+ Product Manager™ Self-Paced Online Course
USD$195.00 (GST excl.)
Innovate Products Faster with AI-Enabled Management
- 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
Overview
- 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
Who should enroll
- 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.
Why this certification matters
- AI in Product Management Essentials: Learn foundational AI concepts to optimize product development and enhance decision-making.
- AI-Driven Product Innovation: Master AI tools and techniques to drive product innovation, improve customer experience, and accelerate time-to-market.
- Data-Driven Product Strategies: Utilize AI to analyze data, predict trends, and create personalized product strategies for targeted customer engagement.
- Ethical AI in Product Development: Understand ethical AI practices, mitigate biases, and ensure transparency and compliance in product management.
Learning Modules
10 modules
01Certification Overview
Course Introduction Preview
02Module 1: Introduction to Artificial Intelligence (AI) for Product Managers
1.1 Understanding the Basics of artificial intelligence
1.2 Importance of AI
1.2 Importance of AI
03Module 2: Fundamentals of Machine Learning
2.1 Introduction to Machine Learning
2.2 Data Preparation in ML model
2.2 Data Preparation in ML model
04Module 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
3.2 Prototyping and Testing: Explore Methods for Prototyping and Testing AI-driven Products Effectively
05Module 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
4.2 Mitigating Bias: Learn Strategies to Identify and Address Bias in AI Algorithms and Products
06Module 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
5.2 Stakeholder Management: Understand How to Communicate AI Initiatives Effectively with Stakeholders and Gain their Support
07Module 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
6.2 Performance Evaluation Techniques: Learn Methods for Evaluating the Performance of AI Models and Products
08Module 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
7.2 Compliance Strategies: Develop Strategies to Ensure AI Products Comply with Regulatory Requirements
09Module 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
8.2 Strategic Planning: Learn How to Anticipate and Adapt to Future Changes in the AI Landscape to Drive Product Innovation
10Optional Module: AI Agents for Product Management
1. Understanding AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
Tools Covered
ChatGPT
AI Fairness 360
Power BI
IBM Watson OpenScale
| Format | Online, self-paced |
|---|---|
| Duration | Instructor-Led: 1 day (live or virtual) |
| Exam | 50 questions, 70% passing, 90 minutes, online proctored exam |
| Included | Self-paced course + Official exam + Digital badge |
| Prerequisites | Basics of digital technologies, open mindset towards learning new concepts, fundamental AI/ML concepts |
| Delivery | Projects & case studies |
| Outcome | Industry-recognized credential + hands-on experience |
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