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Gemini API by Google

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.

Built in collaboration with

Google

Intermediate

2 hours

Completion Certificate

Last Updated July 9, 2024

Skills you'll learn:
Prompt Engineering • Large Language Models • Gemini API • Google AI Studio
Prerequisites:
Intermediate Python

Course Lessons

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

Lesson 2

Introduction to Prompting in Google AI Studio

Dive into practical prompt engineering skills and test out your prompts with Gemini models in Google AI Studio

Lesson 3

Developing with the Gemini API

Learn how to use the Gemini API to interact with Gemini models using Python code

Lesson 4

Advanced Applications

Build an end-to-end Retrieval Augmented Generation (RAG) workflow for document search using the Gemini API

Taught By The Best

Photo of Derek Xu

Derek Xu

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.

Photo of Vanessa Teo

Vanessa Teo

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.

Photo of Rohan Viswanathan

Rohan Viswanathan

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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