AI+ Product Manager Fundamentals™

AI+ Product Manager Fundamentals™

USD$195.00 (GST excl.)

Formerly known as AI+ Product Manager™

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
For more information, see below
Duration
Instructor-Led: 1 day (live or virtual) 
Self-Paced: 8 hours of content
Format
Online, self-paced
Exam
50 questions, 70% passing, 90 minutes, online proctored exam

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

Prerequisites

Basics of digital technologies, open mindset towards learning new concepts, fundamental AI/ML concepts

What you’ll learn

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.

Tools you’ll use

ChatGPT
ChatGPT
AI Fairness 360
AI Fairness 360
Power BI
Power BI
IBM Watson OpenScale
IBM Watson OpenScale

Learning Modules

10 modules

1Certification Overview
Course Introduction Preview
2Module 1: Introduction to Artificial Intelligence (AI) for Product Managers
1.1 Understanding the Basics of artificial intelligence
1.2 Importance of AI
3Module 2: Fundamentals of Machine Learning
2.1 Introduction to Machine Learning
2.2 Data Preparation in ML model
4Module 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
5Module 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
6Module 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
7Module 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
8Module 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
9Module 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
10Optional Module: AI Agents for Product Management
1. Understanding AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
Format

Online, self-paced
Duration

Instructor-Led: 1 day (live or virtual) 
Self-Paced: 8 hours of content
Exam

50 questions, 70% passing, 90 minutes, online proctored exam
Included

Instructor-led OR 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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