AI+ Product Manager Fundamentals™

  • Price 109 EUR + VAT
  • E-learning Start any time
  • Duration 8 hours of content, self-paced
  • Language English
  • Topic AI Business

How you can take it

  • E-learning Start any time · 109 EUR + VAT Order
  • Open course Not available in this format
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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

Private training for your team?

Any of our courses can be delivered as private, in-company training, tailored to your organisation, in English or Hungarian.

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