Building AI Apps with the Gemini API
3h 43m 41s
English
Paid
Course description
Learn to use Google's Gemini API for building AI-powered applications. Plus you'll put your skills into action by building three projects using the Gemini API.
Read more about the course
Take your first step into the world of AI application development by diving deep into a fundamental technology: Google's Gemini API. You'll learn everything there is about utilizing the API to power your AI applications with Google's leading Large Language Models.
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/ #1: Introduction
All Course Lessons (39)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Introduction Demo | 03:26 | |
| 2 | What We're Using | 00:36 | |
| 3 | Jupyter Notebook | 14:11 | |
| 4 | Google Colab | 08:08 | |
| 5 | Getting a Gemini API Key | 04:21 | |
| 6 | Installing the Python SDK for Gemini API and Authenticating to Gemini | 09:52 | |
| 7 | Gemini Multimodal Models: Nano, Pro, and Ultra | 05:15 | |
| 8 | Google AI Studio: Freeform Prompts With Gemini Pro Vision | 06:12 | |
| 9 | Google AI Studio: Using Variables and Parameters in the Prompt | 03:05 | |
| 10 | Generating Text From Text Inputs: Gemini Pro | 04:23 | |
| 11 | Streaming Model Responses | 03:36 | |
| 12 | Generating Text From Image and Text Inputs: Gemini Pro Vision | 05:13 | |
| 13 | Gemini API Generation Parameters: Controlling How the Model Generates Responses | 06:12 | |
| 14 | Gemini API Generation Parameters Explained | 10:14 | |
| 15 | Building Chat Conversations | 07:54 | |
| 16 | Project: Building a Conversational Agent Using Gemini Pro | 07:19 | |
| 17 | Introduction to Gemini 1.5 Pro | 04:11 | |
| 18 | System Instructions | 05:43 | |
| 19 | The File API Prompting with Media Files | 06:09 | |
| 20 | Tokens | 06:42 | |
| 21 | Prompting with Audio | 04:21 | |
| 22 | Project Requirements | 05:54 | |
| 23 | Building the Application | 05:23 | |
| 24 | Testing the Application | 01:49 | |
| 25 | Streamlit: Transform Your Jupyter Notebooks into Interactive Web Apps | 02:49 | |
| 26 | Creating the Web App Layout With Streamlit | 11:20 | |
| 27 | Saving and Displaying the History Using the Streamlit Session State | 05:20 | |
| 28 | Project Introduction | 00:57 | |
| 29 | Getting Images Using a Generator | 06:18 | |
| 30 | Renaming Images Using Gemini Pro Vision | 09:35 | |
| 31 | Intro to Prompt Engineering the Gemini API | 03:13 | |
| 32 | Tactic #1 - Position Instructions Clearly With Delimiters | 05:02 | |
| 33 | Tactic #2 - Provide Detailed Instructions for the Context, Outcome, or Length | 06:11 | |
| 34 | Tactic #3 - Specify the Response Format | 06:14 | |
| 35 | Tactic #4 - Few-Shot Prompting | 06:56 | |
| 36 | Tactic #5 - Specify the Steps Required to Complete a Task | 06:29 | |
| 37 | Tactic #6 - Give Models Time to "Think" | 04:34 | |
| 38 | Other Tactics for Better Prompting and Avoiding Hallucinations | 06:21 | |
| 39 | Prompt Engineering Summary | 02:13 |
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