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AI for Product Managers

Fundamentals for Building Smart Products

Jaekob Chenina

Every year companies pour billions of dollars of investment into expensive data technologies and data scientists in hopes of gaining a competitive edge with AI. However, for some companies the AI roadmap is slow to materialize. This is because building an AI product is fundamentally different from building conventional products. To stay competitive in the future of AI, product managers need to know fundamentals of AI and how to effectively lead an AI product team.

This training will equip product managers with the tools, processes and understanding they need to succeed in creating intelligent products. Practical case studies from leading AI companies like Amazon, Google and Netflix combined with hands-on ideation exercises will make your creative juices flow! Topics covered also include UX for AI, leadership for AI, recommendation systems, and digital assistants. With an expanded view of AI product opportunities and AI development best practices, you will accelerate your AI roadmap and your career!

What you'll learn-and how you can apply it

What you'll learn — and how you can apply it:

  • By the end of this live, hands-on, online course, you’ll understand:
  • Common use cases for AI products
  • How to apply the most useful machine learning tools for AI product development
  • Common UX design patterns for successful AI products

And you’ll be able to:

  • Perceive high impact product opportunities to maximize customer satisfaction

This training course is for you because...

  • You are a product manager or part of a team building AI products
  • You are a part of cutting edge company that creates smarter and faster products
  • You want to stay competitive in your role as the industry incorporates more AI in its day to day life
  • You want to ideate, build, and launch intelligent and efficient products at lower costs
  • You want to accelerate the speed and effectiveness of your existing AI products
  • You don’t know where to start with AI

Prerequisites

  • Understanding of agile product development.
  • Experience working as a product manager is a plus.

Recommended preparation:

Recommended follow-up:

About your instructor

  • Jaekob Chenina is Adobe Sensei product manager for Adobe Analytics, where his primary responsibility is to put artificial intelligence in the center of customer experience. Previously, Jaekob co-founded social media visitor stitching startup Socyalitics.AI where he led product development efforts from ideation to external beta release with enterprise clients including Microsoft and Deloitte Digital. Earlier in his career, he worked as a product manager for Bay Area fin-tech startup Nav Inc. with a focus on infusing artificial intelligence into the product.

Schedule

The timeframes are only estimates and may vary according to how the class is progressing

Create a digital assistant (60 minutes)

  • Introduction
  • Demonstration of how to use the Amazon Alexa skills API to create an Alexa skill
  • Exercise: Create a digital assistant
  • Identify a use-case for a digital assistant in your company
  • List the specific user intents that will be required
  • Design a dialogue flow
  • Test it!
  • Q&A
  • Break

Create a recommendation system (60 minutes)

  • Pros and cons of virtual assistants vs recommendation systems
  • UX for recommendation systems
  • Exercise: Create a recommendation system
  • Crazy 8’s: Identify 8 use-case for a recommendation system in your company
  • List the specific user intents that will be required
  • Design a dialogue flow
  • Test it!
  • Q&A
  • Break

Accelerating AI (60 minutes)

  • Data and team organization: How to structure your team to get better data for AI product development
  • Learning the toolbox
  • Natural Language Processing (NLP) crash course
  • Computer Vision Crash course
  • Q&A