Lesson 1
Introduction to LLMs and Gemini
Get started with a conceptual overview of Large Language Models (LLMs) and what they can do, and learn the basics of the Google Gemini family of models
Course
Start developing with Large Language Models using Google AI Studio and the Gemini API. You’ll learn to develop applications that work with text, images, and code.
Start developing with Large Language Models using Google AI Studio and the Gemini API. You’ll learn to develop applications that work with text, images, and code.
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Intermediate
3 days
Completion Certificate
Last Updated July 9, 2024
Skills you'll learn:
Prerequisites:
Lesson 1
Get started with a conceptual overview of Large Language Models (LLMs) and what they can do, and learn the basics of the Google Gemini family of models
Lesson 2
Dive into practical prompt engineering skills and test out your prompts with Gemini models in Google AI Studio
Lesson 3
Learn how to use the Gemini API to interact with Gemini models using Python code
Lesson 4
Build an end-to-end Retrieval Augmented Generation (RAG) workflow for document search using the Gemini API
Derek Xu, VP of Education of Machine Learning @ Berkeley
Derek Xu is the Vice President of Education of Machine Learning @ Berkeley. He studies EECS and Business Administration through the M.E.T. Program and teaches a modern computer vision course at UC Berkeley. Derek was previously a machine learning engineering intern at TikTok working on the ML Platforms team, and an undergraduate researcher at UC Berkeley Sky Computing Lab. He also has experience as a software engineering intern at Salesforce and Ramp.
Vanessa Teo, Lecturer at Machine Learning @ Berkeley
Vanessa is a Machine Learning Engineer and lecturer at Machine Learning @ Berkeley, and teaches Data Structures and Deep Learning for Visual Data at UC Berkeley. She studies Computer Science and Environmental Economics and Policy, and is a Machine Learning Researcher at the Berkeley Artificial Intelligence Research Lab. She has also worked as a software engineer intern on Generative AI tools and LLMs at Pinterest.
President of Machine Learning @ Berkeley
Rohan is the President of Machine Learning @ Berkeley and studies EECS and Business Administration through the M.E.T. Program. He is a developer and instructor of the Deep Learning for Visual Data course at UC Berkeley, and has done ML Engineering work for Autodesk. He also has previous experience as a software engineering intern at Persona and Tesla.
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