Building AI Apps with the Gemini API

3h 43m 41s
English
Paid

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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# Title Duration
1 Introduction 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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