AI+ Product Manager™

Course code: AP250

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

Price of the certification exam is included in the price of the course.

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Course dates

Starting date: Upon request

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 175 EUR

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Type Course
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Upon request Self-paced 8 hours en 175 EUR Register
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Course description

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.

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

Target group

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.

Course structure

Certification Overview

  1. Course Introduction Preview

Module 1: Introduction to Artificial Intelligence (AI) for Product Managers

  1. 1.1 Understanding the Basics of artificial intelligence
  2. 1.2 Importance of AI

Module 2: Fundamentals of Machine Learning

  1. 2.1 Introduction to Machine Learning
  2. 2.2 Data Preparation in ML model

Module 3: AI Product Development Lifecycle

  1. 3.1 Exploring How AI Can Be Leveraged in Ideation and Conceptualization
  2. 3.2 Prototyping and Testing: Explore Methods for Prototyping and Testing AI-driven Products Effectively

Module 4: AI Ethics and Bias

  1. 4.1 Understanding Ethical Considerations: Examine the Ethical Implications of AI Products and the Responsibility of Product Managers
  2. 4.2 Mitigating Bias: Learn Strategies to Identify and Address Bias in AI Algorithms and Products

Module 5: AI Implementation Strategies

  1. 5.1 Integration with Existing Products: Explore Methods for Integrating AI Features into Existing Products Seamlessly
  2. 5.2 Stakeholder Management: Understand How to Communicate AI Initiatives Effectively with Stakeholders and Gain their Support

Module 6: AI Metrics and Performance Evaluation

  1. 6.1 Key Performance Indicators (KPIs): Identify Relevant Metrics for Measuring the Success of AI-driven Products
  2. 6.2 Performance Evaluation Techniques: Learn Methods for Evaluating the Performance of AI Models and Products

Module 7: AI Regulation and Compliance

  1. 7.1 Regulatory Landscape: Explore Current Regulations and Frameworks Relevant to AI Products
  2. 7.2 Compliance Strategies: Develop Strategies to Ensure AI Products Comply with Regulatory Requirements

Module 8: Future Trends in AI and Product Management

  1. 8.1 Emerging Technologies: Discuss Upcoming Trends and Technologies Shaping the Future of AI and Product Management
  2. 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. 1. Understanding AI Agents
  2. 2. Case Studies
  3. 3. Hands-On Practice with AI Agents

Prerequisites

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

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product support

Certification

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

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