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Generative AI

GenAI and LLMs for Product Managers

Published by O'Reilly Media, Inc.

Beginner content levelBeginner

Tools and Frameworks to navigate GenAI throughout the product lifecyle

Course outcomes

  • Acquire foundational knowledge on initiating endeavors with generative AI and LLMs
  • Delve into pertinent use cases of large language models tailored for product managers
  • Navigate the pivotal roles of generative AI throughout the product lifecycle
  • Grasp the intricacies of prompt engineering to optimize GenAI interaction and output
  • Embark on an analytical survey of the prevailing tools, frameworks, and technological advancements in the generative AI domain

Course description

Join expert Sudhir Wadhwa for an immersive exploration of generative AI and large language models. You’ll receive a comprehensive overview of GenAI's potential and understand how GenAI technologies can spur next-gen product innovations using platforms like OpenAI Playground, Hugging Face Playground, Python Notebooks, Whisper APIs, LangChain, Streamlit, and more. You’ll also learn about harnessing LLMs with proprietary enterprise data.

What you’ll learn and how you can apply it

  • Acquire foundational knowledge on initiating endeavors with generative AI and LLMs
  • Delve into pertinent use cases of large language models tailored for product managers
  • Navigate the pivotal roles of generative AI throughout the product lifecycle
  • Grasp the intricacies of prompt engineering to optimize GenAI interaction and output
  • Embark on an analytical survey of the prevailing tools, frameworks, and technological advancements in the generative AI domain

This live event is for you because...

  • You’re a product manager working on building LLM-based applications.

Prerequisites

  • An OpenAI account (if you’d like to participate in exercise)
  • Familiarity with Python programming and web development (HTML, JavaScript)
  • Knowledge of machine learning concepts

Recommended preparation:

  • Review theoretical aspects of the large language model (course focuses more on demonstrations of the concepts)

Recommended follow-up:

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Introduction to generative AI and LLMs

  • Presentation: What is generative AI?; understanding genAI project lifecycle, business use case, and ROI; selecting the LLM model; selecting frontend, backend, and API calls
  • Demo: Creating speech to text platform using Whisper API from OpenAI

Prompt engineering during product lifecycle

  • Presentation: Impact of generative AI and LLMs on software product lifecycle (SPLC); How can product managers use genAI during SPLC?

Tools, frameworks, and technologies

  • Presentation: Frameworks and libraries; commercial platforms and pretrained models; platforms for deployment and scaling; ethical and practical challenges; technical and business challenges

Demonstrate a simple integration of an LLM API into a product mock-up

  • Exercise (optional): Integrate a GPT-based web product using the OpenAI API
  • Presentation: The practical implications of integrating such powerful models, from user experience to potential ethical considerations

Your Instructor

  • Sudhir Wadhwa

    Sudhir Wadhwa is vice president of data and analytics at a health and wellness company. He has strong experience in healthcare, EdTech, adtech, consulting, and Fintech, and founded two companies in San Francisco.