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AI for Product Management Course

Posted by Administrator November - 15 - 2023 Comments Off on AI for Product Management Course
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Original price was: ₦10,000.00.Current price is: ₦5,000.00.

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Description

About this course

AI technology has existed for years, but its influence has increased exponentially with the rise and accessibility of generative AI tools.

And while AI is set to impact nearly every area of a company, it has an especially powerful application for product teams.

Product managers (PMs) have evolved from a role focused on shipping features to a strategic, cross-functional role that impacts the future of the business.

As modern PMs are focused on driving business outcomes, AI can help them achieve those outcomes faster and more effectively.

This course explores AI’s place in product management—including how to leverage AI throughout the development life cycle, best practices for building AI-powered features, and why product managers should view AI as a strategic tool, not a threat.

Who should take this course?

This course is designed for anyone who wants to learn how product managers and organizations can utilize AI in their product development practices and to build AI-powered features.

Whether you’ve never used AI tools before or are already leveraging AI in your day-to-day, this course aims to educate product professionals on the opportunities AI brings and share actionable use cases and tactics. 

This course covers:

  • Core AI use cases for businesses with software or digital experiences
  • Best practices for building AI-powered features and functionality
  • How AI can transform and elevate the product-led organization
  • Applying AI tools and use cases to accelerate product value and business growth

What to expect:

  • Curriculum developed by product, machine learning, and digital experience leaders
  • Engaging, instructor-led videos that you can view at your own pace
  • Real-world examples from companies across industries
  • Optional exam to check your knowledge and earn a badge

Course materials:

  • Exam study guide

Time commitment: 2 hours

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