Hosted by
Marily Nika and Natalia Burina
AI Product Leaders w/exp at Meta, Google & Salesforce Marily is a Harvard Fellow
This course is popular
3 people enrolled last week.
Course overview
Introducing a new course for professionals looking to unlock the power of generative artificial intelligence: Generative AI for Business. In this cutting-edge workshop, you'll learn the skills and techniques needed to harness the full potential of generative AI.
With state-of-the-art generative AI technology, you'll be able to automate complex tasks, generate new ideas, and discover valuable insights that would have been impossible to find before.
In 3 hours, we will guide you through a comprehensive curriculum that covers everything from the basics of generative AI to a rudimentary understanding of advanced topics like Transformers, RLHF (Reinforcement Learning from Human Feedback), Prompting and more.
Whether you're an experienced AI practitioner or just getting started, Generative AI for Business is the perfect course for anyone looking to stay ahead of the curve and drive innovation in their organization.
Don't miss out on this game-changing opportunity. Also, check out our longer courses (and get this one for free):
- Building AI Products 101: https://maven.com/marily-nika/technical-product-management/
- Advanced AI Product Management: https://maven.com/marily-nika/advanced-ai-product-management/
01
Professionals looking to uplevel their skills and stay current on latest AI breakthroughs.
02
Entrepreneurs and business owners looking to leverage the latests tech for novel monetization strategies.
03
Creatives looking for a tech and business introduction to Generative AI.
Understand how to leverage niche technology and uplevel your products.
Be better positioned to innovate in your job, business or on a new venture that you will create.
Stay ahead of the curve on the revolution Generative AI is going to create
Get comfortable using the current Generative AI tools and learn what they can offer for you
Generative AI for Business Workshop
Marily is a computer scientist and an AI Product Leader currently working for Meta’s reality labs. Previously, Marily was at Google for 8 years, and in 2014 she completed a PhD in Machine Learning. She is also an Executive Fellow at Harvard Business School and she has taught numerous courses, actively teaching AI Product Management on Maven and at Harvard.
Marily writes on https://marily.substack.com
Natalia is a product leader with deep expertise in AI. At Meta AI she managed a portfolio of AI products and technologies meeting the needs of billions of users and internal customers powering products such as ads (why am I seeing this ad), feed (video classification and video integrity), ar/vr (smart keyboard), and many others.
In 2017 Natalia was recognized by Business Insider as “The Most Powerful Female Engineer in 2017”. Prior to this, she was the Director of Product for Machine Learning at Salesforce, where she led teams building a set of AI capabilities and platform services. Natalia also led product development at Samsung, eBay (search), and Microsoft Bing.
Natalia writes on https://aistudios.substack.com and runs the AI Studios Podcast https://www.youtube.com/@aistudiospodcast
Cohort 2
$99 USD
Dates
Oct 30, 2023
Payment Deadline
Oct 29, 2023
01
Introduction to Generative AI (10 minutes)
02
Applications of Generative AI in Business (20 minutes)
03
Business Models (30 min)
How to make money with Generative AI
How to Measure Success
04
Generative AI Tools & Techniques (30 minutes)
Foundational vs Fine Tuned Models
05
Managing AI Risks (30min)
How to build Generative AI responsibly. Include safety, copyright, etc.
06
Practical Exercise (45 minutes)
07
Discussion & Conclusion (15 minutes)
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Cohort 2
$99 USD
Dates
Oct 30, 2023
Payment Deadline
Oct 29, 2023