Learn Google's Gemini and Anthropic's Claude API with Python

Course Curriculum

Chapter 1: Getting Started

Lecture 1: How to Get the Most Out of This Course

Lecture 2: Python IDEs For This Course

Lecture 3: Setting Up the Environment: Jupyter Notebook

Lecture 4: Setting Up the Environment: Google Colab

Lecture 5: Join Our Online Community!

Lecture 6: Course Resources

Chapter 2: Deep Dive into Google Gemini Pro API

Lecture 1: Getting a Gemini API Key

Lecture 2: Installing the Python SDK for Gemini Pro API and Authenticating to Gemini

Lecture 3: Gemini Multimodal Models: Nano, Pro and Ultra

Lecture 4: Google AI Studio: Freeform Prompts With Gemini Pro Vision

Lecture 5: Google AI Studio: Using Variables and Parameters in the Prompt

Lecture 6: Generating Text From Text Inputs: Gemini Pro

Lecture 7: Streaming Model Responses

Lecture 8: Generating Text From Image and Text Inputs: Gemini Pro Vision

Lecture 9: Gemini API Generation Parameters: Controlling How the Model Generates Responses

Lecture 10: Gemini API Generation Parameters Explained

Lecture 11: Building a Chat Conversation

Lecture 12: Project: Building a Conversational Agent Using Gemini Pro

Chapter 3: Unlocking the Power of Gemini 1.5 Pro API

Lecture 1: Introduction to Gemini 1.5 Pro

Lecture 2: System Instructions

Lecture 3: The File API: Prompting with Media Files

Lecture 4: Tokens in Gemini API

Lecture 5: The File API: Prompting with Audio

Chapter 4: Jupyter AI

Lecture 1: Jupyter AI

Lecture 2: Python Version

Lecture 3: Introduction to Jupyter AI and Other Coding Companions

Lecture 4: Installing Jupyter AI

Lecture 5: Using Jupyter AI in JupyterLab

Lecture 6: Setting Up Jupyter AI in Jupyter Notebook

Lecture 7: Using Jupyter AI in Jupyter Notebook

Lecture 8: Using Interpolation for More Advanced Use Cases

Lecture 9: Using Jupyter AI with Other Providers and Models

Chapter 5: Project: Talking With an Image

Lecture 1: Project Requirements

Lecture 2: Building the Application

Lecture 3: Testing the Application

Lecture 4: Streamlit: Transform Your Jupyter Notebooks into Interactive Web Apps

Lecture 5: Creating the Web App Layout With Streamlit

Lecture 6: Saving and Displaying the History Using the Streamlit Session State

Chapter 6: Prompt Engineering for Gemini API

Lecture 1: Intro to Prompt Engineering

Lecture 2: Tactic #1 – Position Instructions Clearly With Delimiters

Lecture 3: Tactic #2 – Provide Detailed Instructions for the Context, Outcome, or Length

Lecture 4: Tactic #3 – Specify the Response Format

Lecture 5: Tactic #4 – Few-Shot Prompting

Lecture 6: Tactic #5 – Specify the Steps Required to Complete a Task

Lecture 7: Tactic #6 – Give Models Time to "Think"

Lecture 8: Other Tactics for Better Prompting and Avoiding Hallucinations

Lecture 9: Prompt Engineering Summary

Chapter 7: Deep Dive into Anthropic's Claude 3 API

Lecture 1: Claude 3 Models: Haiku, Sonnet, Opus

Lecture 2: Anthropic API Setup

Lecture 3: Generating Text from Text Prompts

Lecture 4: Understanding the Assistant Role

Lecture 5: The System Prompt

Lecture 6: Streaming Responses from Claude

Lecture 7: Exploring Multimodal AI: Vision Capabilities

Lecture 8: Using Online Images as Input

Lecture 9: Vision Testing: Handwriting, Charts, and Visual Prompting

Lecture 10: Combining Multiple Images

Chapter 8: [Appendix] Python Programming

Lecture 1: README

Lecture 2: While and continue Statements

Lecture 3: While and break Statements

Lecture 4: List Slicing and Iteration

Lecture 5: List Comprehension – Part 1

Lecture 6: List Comprehension – Part 2

Lecture 7: Working with Dictionaries

Lecture 8: JSON Data Serialization

Lecture 9: JSON Data Deserialization

Lecture 10: Assignment: JSON and Requests/REST API

Lecture 11: Assignment Answer: JSON and Requests/REST API

Chapter 9: [Appendix] Building Front-ends for AI Apps With Streamlit

Lecture 1: Introduction to Streamlit

Lecture 2: Streamlit Main Concepts

Lecture 3: Displaying Data on the Screen: st.write() and Magic

Lecture 4: Widgets, Part 1: text_input, number_input, button

Lecture 5: Widgets, Part 2: checkbox, radio, select

Lecture 6: Widgets, Part 3: slider, file_uploader, camera_input, image

Lecture 7: Layout: Sidebar

Lecture 8: Layout: Columns

Lecture 9: Layout: Expander

Lecture 10: Displaying a Progress Bar

Lecture 11: Session State

Lecture 12: Callbacks

Chapter 10: Where to Go From Here?

Lecture 1: What's Next?

Chapter 11: BONUS SECTION

Lecture 1: Congratulations

Lecture 2: BONUS: THANK YOU GIFT!