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LIVE ONLINE COURSE
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PRODUCT MANAGEMENT FOR AI & ML

Dates: 27 AUG 2024 - 3 OCT 2024
DURATION: 6 WEEKS
TUESDAYS & THURSDAYS
5 PM PST / 8 PM EST
HAN VANHOLDER
GOOGLE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE
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LIVE ONLINE COURSE
LIVE ONLINE COURSE
LIVE ONLINE COURSE ON PRODUCT MANAGEMENT FOR AI & ML
DATES:
27 AUG 2024 - 3 OCT 2024
DURATION:
6 WEEKS
TUESDAYS & THURSDAYS
5 PM PST / 8 PM EST

Elevate your decision-making, drive innovation, and communicate complex ideas with confidence. Propel your career and organization into the forefront of the AI-driven market.

Let Han Vanholder, Google’s Director of Product Management, empower you to understand and adeptly apply AI/ML concepts in real-world product management scenarios.

THIS COURSE IS FOR YOU, IF...

  • YOU ARE A PRODUCT MANAGER ASPIRING FOR AN AI ROLE

     

    Gain competence in cutting-edge AI and ML techniques. Understand product management skills specific to the AI industry, covering infrastructure, platforms, applications, and the AI product lifecycle. Master computer vision & generative AI, harness speech, text, & audio AI applications.

  • YOU ARE A JUNIOR AI/ML PM LOOKING FOR A CAREER BOOST

     

    Close the experience gap. Learn strategic AI applications through industry best practices to drive impactful business outcomes. The practical focus, including creating ML-based solutions and a pitch deck, guarantees a tangible and career-enhancing learning journey.

  • YOU HAVE PM COMPETENCE AND WANT TO WORK ON AI/ML PRODUCTS

     

    Transition seamlessly into AI/ML PM. Perfect for professionals in various roles, from managers to data scientists to business owners, the course provides essential technical knowledge, fosters effective communication with tech experts, and equips you to contribute confidently to AI/ML product initiatives.

YOUR ASCENT STARTS HERE

Fuel innovation in the ever-evolving tech industry.

We merge theory with hands-on practice. Learn problem-solving, data strategy, and technology proficiency, and gain soft skills crucial in the dynamic landscape of AI-driven products.

Get the most out of an extensive curriculum.

Have all your questions answered by the expert instructor in real time. Acquire field-specific product management expertise through comprehensive classes, assignments, case studies, and workshops – all LIVE & online.

 
ABOUT THE COURSE / WHAT YOU'LL DO
01
IN-DEPTH LEARNING

We ensure a dynamic, relevant, and uniquely practical educational experience compared to conventional formats. You’ll focus on real-world applications to immediately apply AI/ML concepts & address industry challenges.

02
COURSE PROJECT

As a comprehensive synthesis of your learning during the course, you’ll craft a pitch deck that identifies problems, proposes AI/ML solutions, and formulates a robust strategy, emphasizing practical application and business value.

03
CAREER GUIDANCE

Engage with industry experts through personalized 1:1 instructor sessions, guest speakers, and career growth tips on presenting yourself & developing interview skills. Gain invaluable insights and a competitive edge in the evolving field of AI product management.

INSTRUCTOR
HAN VANHOLDER LinkedIn Profile
  • Director of Product Management & Compute Infrastructure, Google
  • Pioneered ML compiler design at Google Brain and played a pivotal role in NVIDIA's Datacenter GPU team.
  • Drove Tesla GPU product management at NVIDIA, championing ML serving and shaping the serving strategy, resulting in T4 and TensorRT.
  • Led global collaborations with hyperscalers and Fortune 500 companies, delivering user-friendly ML serving solutions.
  • Designed wireless communication ASICs and mobile media SoCs at Philips Semiconductors, showcasing expertise as a system architect and software developer.
HAN VANHOLDER
COURSE INTRODUCTION
syllabus
00
MON (8/26), 5 PM PST/8 PM EST
Meet Your Instructor & Course Overview

Meet your instructor Han Vanholder. With a rich background in the tech industry, Han will introduce you to his craft and provide an overview of what you can expect to learn.

 

  • Instructor introduction
  • Course objectives & flow
  • Brief overview, key moments, and rapid growth of the AI industry
  • Q&A
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01
TUE (8/27), 5 PM PST/8 PM EST
Introduction to Product Management for AI & ML

What does an AI product manager actually do? Today we’ll break down the roles of the trade and the product lifecycle. Then we’ll take a look at where and how AI is used, exploring examples of unexpected places where AI delivers value today.

 

  • Recent trends & the unreasonable efficiency of Deep Learning
  • Product management skills for AI & ML
  • Product management in the AI industry
  • Extraordinary AI use cases
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02
THU (8/29), 5 PM PST/8 PM EST
Practical Approach to AI Product Management

Let’s start with the basics. Decoding the complicated terms within AI is crucial to understanding how the field works. As you start to understand the value and cost drivers for AI/ML, you’ll learn how they integrate with the product life cycle.

 

  • Fundamentals of AI & Machine Learning
  • Models: the rocket engine of Deep Learning
  • From training to deploying ML models
  • AI lifecycle
  • The relevance of new AI technologies for PMs
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03
TUE (9/3), 5 PM PST/8 PM EST
Building an AI-enabled Product

If your business has a problem, how can you pitch AI as the solution? Hone your ability to answer this question. Practice defining problems and target audiences to uncover the value AI/ML can bring them.

 

  • Pick a problem & pitch AI as a solution
  • Identify users & customers
  • Develop & test the value hypothesis
  • How to measure success & identify challenges

Assignment #1: Identify a work-related problem & develop an ML-based solution.

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04
THU (9/5), 5 PM PST/8 PM EST
Product Strategy and Go-To-Market

You’ve chosen a problem. You’ve defined your customers and users. Now you’ve got to create a deployment strategy. Let’s start by expanding on the selected problem and developing our product strategy, giving a deeper look into what an AI product manager does.

 

  • Business needs, prioritization, and trade-offs
  • MVP and MLV
  • Do you need a developer strategy?
  • Workshop: Developing a GTM strategy

Assignment #2: Develop a GTM strategy for your ML solution. (4 slides: target market, personas & developers, positioning & value proposition, and pricing strategy)

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05
TUE (9/10), 5 PM PST/8 PM EST
Data: AI Rocket Fuel

Data empowers and accelerates AI. In today’s lesson, you’ll get to practice checking the quality of a real data set. The tasks, such as having to find data and making sure it’s unbiased, are obvious. The execution, on the other hand, is challenging.

 

  • Larger models, large training data sets
  • Acquiring data & recognizing bias
  • Getting to labeled data
  • Mitigating poor data quality
  • Workshop: Examine digits data set

Assignment #3: Select relevant data & data sets for your ML solution and outline a data strategy.

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06
THU (9/12), 5 PM PST/8 PM EST
Computer Vision for Product Managers

Over time computer vision has evolved. Cultivate a deeper understanding of its current limitations and demystify various models to ease your transition into AI/ML product management. It’s time to jump into its core principles and applications!

 

  • Computer vision applications
  • The historical evolution of computer vision
  • Generative AI & popular models
  • Training a model from scratch vs. using a pre-trained model
  • Workshop: Build and train a digit classifier
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07
TUE (9/17), 5 PM PST/8 PM EST
Harnessing AI for Speech, Text, and Audio

Ramp up your AI knowledge. As we discuss foundational technologies, we’ll slide into the importance of large language models and the reason why they work. The principles, applications, and current limitations of sequential models will be tackled today.

 

  • RNN, LSTM, BERT
  • Transformers
  • Large language models & multi-modal models
  • Case Study: Facebook & applying LLMs to biotechnology 

Assignment #4: Refine your ML solution and design the high-level architecture in three slides: solution architecture diagram, key components, and reasons for selecting those components.

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08
THU (9/19), 5 PM PST/8 PM EST
Measuring Business Impact: Defining Outcomes and Metrics

Besides counting dollars, there are other ways to gauge the success of your product. Let’s learn them! You’ll get into creating actionable steps based on metrics, deciphering which metrics are applicable, and making a feedback loop to keep improving your product.

 

  • Importance of defining & measuring outcomes
  • Choosing & defining metrics and KPIs
  • Common measurement pitfalls
  • Making measurements actionable
  • Case Study: Code Copilot

Assignment #5: Define outcomes, key KPIs & measurement strategy for your ML solution. Articulate how these integrate into the solution and deployment architecture.

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09
TUE (9/24), 5 PM PST/8 PM EST
Navigating Responsible AI: Ethics, Privacy, and Sustainability + Guest Speaker

As a PM you need to ensure fairness and use AI responsibly. Buckle up because we’re going to launch ourselves into mitigating bias, giving users transparency, and accessing frameworks that minimize harm and maximize positive results. Champion ethics, and win user trust!

 

  • Privacy: balancing innovation with data protection
  • Robustness: safety & security in AI systems
  • Governance & sustainability
  • Tools to address issues
  • Responsible AI strategy framework to minimize harm

Assignment #6: Identify ethical aspects of your ML use case & create a strategy to address them.

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10
THU (9/26), 5 PM PST/8 PM EST
AI Solution Teams, Deployment, and Post-Launch Monitoring

AI product managers have to juggle. You have marketing teams, developers, and clients interacting with your products on different levels. Plus, you have to collaborate with them all at once. Let’s discuss the path to deploying a product and ensuring it continuously reaches business goals.

 

  • Stakeholder management: engineers, sales teams & customers
  • Evolving your solution & backwards compatibility
  • Case study: TF2.0
  • Deployment management & post-launch monitoring
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11
TUE (10/1), 5 PM PST/8 PM EST
Current and Future Trends in AI

You’ve learned the little details to release a product, now it’s time to zoom out and look at the AI landscape. In this class, you’ll use AI to create solutions, be more productive, and generate future opportunities.

 

  • Technology trends
  • Graph Neural Networks
  • Use cases
  • Ads ranking, recommendations & personalization
  • Productivity tools: harnessing AI to be more productive

Assignment #7: Identify three AI tools for your daily work, and describe their applications and improvements in one paragraph. Specify one metric for each to measure effectiveness.

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12
THU (10/3), 5 PM PST/8 PM EST
Career Guidance + Guest Speakers

Congrats! You’re about to reach the next level in your career, but first…interviews! Prepare your questions before class and get ready to meet our final guest speaker. After today, you’ll be equipped with industry insights on creating a top-performing resume and ways to market yourself as an AI/ML product manager.

 

  • Exploring hard skills & qualifications
  • Pros & cons of qualifications
  • Career growth tips on presenting yourself (resume)
  • Developing your interview skills
  • Guest speaker Q&A panel (prepared questions)
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What our students say

Carlos Andres
BECOME AN ART DIRECTOR
"The group activities, they allow us to interact and exchange ideas, plus the way it is structured is challenging and mind twisting as we collaborate in different parts of the ideation."
Hayley Smith
BRANDING 101
"Overall I'm impressed with the level of detail and explanation around particular topics and subjects. There's a real depth to each module which for learning allows the information to stay in your brain."
Rebecca Kouwe
HUMAN RESOURCES ANALYTICS
"I really enjoy the format of the course. Lectures with real life examples and an ongoing case study. Also built in 20 minutes at the end of each class for questions is helpful."
Courtney Fulton
WOMEN IN LEADERSHIP
"I enjoyed the structure of the class. I like how we learned about a topic and practiced it in the workshops. It’s helped me to apply what I learned!"
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