Building AI Apps with the Gemini API

Name: Building AI Apps with the Gemini API
Price: 9 USD
Availability: InStock

3h 43m 41s

English

Paid

July 9, 2024

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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#1: Introduction

All Course Lessons (39)

#	Lesson Title	Duration
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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