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.
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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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