PRODUCT MANAGEMENT FOR AI & ML
ON AI & ML STRATEGIES
FOR PRODUCT MANAGERS
5 JUN 2024 – 17 JUL 2024
DURATION:
6 WEEKS
MONDAYS & WEDNESDAYS
5 PM PST / 8 PM EST
Join Jyothi Nookula, Director of Product Management, AI & ML at Etsy, 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.
NOOKULA LINKEDIN PROFILE
- Director of Product Management, AI & ML at Etsy
- 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
- Instructor introduction
- Course objectives & flow
- Q&A
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
- Case study
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.
- Case study
- When to use AI in a product
- ML vs Heuristics
- Framework for evaluation
Assignment #1: Identify a problem that can be solved with AI in a student’s field of work using the framework described in the class.
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 #2: Explore the features of a public dataset using the Jupyter Notebook, Python, and Pandas.
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
- Supervised learning algorithms
- Unsupervised learning algorithms
- Demo: Linear Regression and K means clustering
Acquire an in-depth understanding of AI and Machine Learning.
- What is Machine Learning
- How a neural network learns from training data
- Pre-trained models vs build from scratch
- Demo: Build a neural network to identify handwritten digits
Gain a comprehensive understanding of AI models and techniques used in speech, text, and audio processing, and learn to apply these concepts in various real-world scenarios and contribute to advancements in the field.
- NLP machine learning basics
- Demo: Spam email classification using Bag of Words
- Recurrent Neural Networks
- Transformers
- Demo: Calculate sentiment of Yelp reviews using BERT transformer
Assignment #3: Deep dive into one algorithm and describe its architecture, uses, applications, etc.
In this class, you’ll obtain the skills necessary to measure the impact of AI solutions accurately and make data-driven decisions.
- Business metrics vs. model metrics
- Regression and classification metrics
- Metrics for ranking systems
- Workshop: Expedia
Assignment #4: Group Capstone project: Idea pitch
AI has great power, and you have an even greater responsibility. Learn the tools used to address issues and implement AI solutions ethically.
- Responsible AI Framework
- Tools available to address RAI concerns
- Model development lifecycle and RAI
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.
- Case study: MidJourney product strategy
- ML frameworks
- Cloud providers
- AI tools
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
- Deployment management
- Build vs Buy
- Demo: Transfer learning
In this class you’ll be introduced to Gen AI and key AI strategies and their applications!
- Key AI strategies
- Generative models
- GenAI for product managers
Assignment #5: Research and Analyze a Generative AI product/ tool
- Advancing your skills as a PM
- Flywheel Growth Strategy
- Workshop: Product Strategy
- Demo: Final project – AI product proposal
Self Study: Update your resume to give it the attention it deserves.
What our students say
"I love Jyothi, she's so inspiring! Classes are mind-blowing, exhilarating, and challenging! The course is power packed with Jyothi's invaluable knowledge reservoirs and experiential assignments along with live coding demos. The community of learners is very supportive and feels like family. As the youngest in the course, I've imbibed new perspectives and incredible mentors! Having studied Econometrics in school, my new-found knowledge of AI and ML models is priming me to kickstart my career as an APM in big tech! 😎 🚀"
"Easy to follow along. The examples and usecases explained for the technical pieces helped to understand better."