LIVE ONLINE COURSE
ON AI & ML STRATEGIES
FOR PRODUCT MANAGERS
24 MAY 2023 - 10 JUL 2023
Duration:
6 WEEKS
MONDAYS & WEDNESDAYS
5 PM PST / 8 PM EST
Lead the way in an intelligence-driven field. Learn how you can take projects from ideation through their production.
Join Jyothi Nookula, Facebook AI’s Lead Product Manager, to discover ways to apply AI & ML for cutting-edge results.
THIS COURSE IS FOR YOU, IF...
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YOU WANT TO ENTER AI/ML PRODUCT MANAGEMENT PREPARED
Get a competitive edge in the field. Master the foundational skills needed to work as an AI/ML PM and the strategies that will make you hireable.
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YOU WANT TO PERFORM AS WELL AS AN EXPERT AI/ML PM
Lacking the tools, techniques, and experience of a top AI/ML PM? Use these 6 weeks to improve your storytelling, presenting, and approach to leveraging data.
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YOU HAVEN’T WORKED WITH AI OR ML…YET
Switch from your usual PM job into a tech environment! Learn the differences, the terminology, and the foundation of AI/ML processes.
Human-based visions. Data-based strategies. An intelligence-based career.
Revolutionize your job and product by practicing each step of the product pipeline! Here’s your chance to perform as a tech PM, pitch your ideas, and add tangible evidence to your portfolio.
A product manager’s LIVE guide to AI/ML with a Facebook pioneer.
Skip generic internet advice and learn directly from the best. Walk through the product development process, get real-time feedback at each step, and make your resume too good to pass up.
Learn by doing. Work with data, examine research papers, and design a product. Get the hands-on skills you need in a low-risk setting and learn by doing.
Put your AI where your applications are. You’ll work together with your team to present a final project which will add a promising boost to your employee profile.
Gain valuable customer insight as you study real-life AI/ML product applications. You’ll walk through some best practices to avoid common pitfalls that will help you make informed decisions.
- Lead Product Manager, Facebook AI
- Over 12 years of experience as a PM, with 5 years leading AI & ML product development
- Holds 12 patents and handles PM for AI/ML across all Meta apps
- Strives to drive meaningful change for customers and create products that integrate well into daily life
- Led advanced technologies for an extraterrestrial Mars mission simulation
COURSE INTRODUCTION
AI is growing! So, it’s time to learn AI and machine learning fundamentals! How are they applied in real life? How do businesses derive value from AI? Learn the role, skills & responsibilities of an AI product manager in this class.
- AI industry growth
- AI product manager vs product manager
- AI & ML basics and use cases
- AI product lifecycle
- Case study
Assignment #1: Analyzing the case study of a company that has successfully implemented AI/ML in its products. Evaluate their challenges, solutions, and how AI or ML impacted their performance.
AI is the future, but it can’t solve 100% of your issues. In this class, you’ll learn how and when to use AI to solve business problems and build successful AI products.
- Discussion: assignment #1
- Introducing the problem
- When to use AI in a product
- Measuring product success
Assignment #2: Defining a problem that can be solved with AI in a student’s field of work.
Do words like “unsupervised learning” and “neural networks” ring any bells? Learn AI terms & techniques and their possible applications as you prepare for your next role.
- Basics of AI and Machine Learning
- Key terminologies
- AI, ML, RL, DL
- New AI technologies
Assignment #3: Research a new technology and produce a white paper describing the technology, applications, and potential use cases.
Last class touched the surface of AI terms. Now it’s time to continue building on what you’ve learned for an in-depth understanding of AI and Machine Learning.
- Understanding machine learning & frameworks
- DL: Learn how a neural network learns from training data
- Learning Algorithms
- Pre-trained models vs build from scratch
- Demo: Try existing AI models online
Assignment #4: Build and train a model using Google Collab.
Every successful AI product starts with great data management. Learn how to use the knowledge and skills to manage data effectively.
- Data analysis & acquisition strategies
- Creating a dataset
- Data features and correlations
- Data labeling, quality & augmentation
- Demo: Insights from data
Assignment #5: Design an annotation job, test questions, and consider metrics for success.
In this class, you’ll obtain the skills necessary to measure the impact of AI solutions accurately and make data-driven decisions.
- Experimentation lifecycle and techniques
- Metrics and KPIs
- Precision vs recall and other measurement techniques
- Workshop: Discuss an AI/ML research paper
Assignment #6: Select and summarize a research paper.
AI has great power, and you have an even greater responsibility. Learn the tools used to address issues and implement AI solutions ethically.
- What is Responsible AI
- Bias, ethics, and legal aspects
- Problem-solving tools
- Responsible AI strategy framework
Assignment #7: Define a Responsible AI strategy for a use case of your choice. Identify the various issues that may impact your use case and detail a strategy to address them.
This lesson covers all of the hands-on skills you’ll need to succeed as a PM. Everything from tools to platforms to product development concepts.
- Business requirements, analysis & prioritization
- Agile methodologies for AI projects
- Top AI Platforms: AWS, Google Cloud AI, IBM Watson, Microsoft Azure, etc
- Common AI tools used by PMs
- Workshop: product design
Assignment #8: For the problem you defined in assignment 2, research the existing AI solutions. Choose a solution strategy that you will take to solve the problem and define the MVP plan.
They’re responsible for the technical development and deployment of the product you’re managing. How can you work together with them? Learn how!
- AI solution teams: engineering & production
- Developing AI solution development plan
- Building AI solutions
- Deployment management
- Case Study: AI product development cycle
Assignment #9: Prepare a risk analysis for your specific development plan.
Learn how to develop a GTM strategy for an AI product, including identifying the target market, creating buyer personas, and developing a value proposition.
- Traditional vs AI GTM strategies
- Develop a GTM strategy
- Pricing Strategy
- Case study: chatbot
Assignment #10: Develop a GTM strategy for an AI tool of your choice.
In this class you’ll be introduced to key AI strategies and their applications!
- Creator economy
- Personalization vs recommendation vs hyper-personalization
- Ads ranking
- The future of virtual agents
- ChatGPT & stable diffusion
Assignment #11: Develop an AI product proposal to pitch to your stakeholders.
You’ve made it to the end! Learn how to advance your skills in AI product management and how to pitch your ideas to stakeholders.
- Advancing your skills as a PM
- Pitching ideas to stakeholders
- Workshop: Final project – AI product proposal
Assignment #12: Update your resume to give it the attention it deserves.
What our students say
"I absolutely love the format! Working through real life scenarios makes it super applicable and easy to translate the learning into practical takeaways. I also enjoy that the assignments are straightforward enough to get through but you can make them more complex to get more learning out of the course. It really is a format where you get out what you put in."
"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."
"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."
"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."
"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!"