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

Editorial course preview

What the public course preview actually shows

These 3 complementary views highlight concrete, legible examples from the course presentation.

A Jupyter notebook interface displaying a Python code cell that implements a while loop to query the Gemini Pro Vision model using user input and an image variable. — Preview 1 of 3
This screenshot shows a Python script in a Jupyter notebook that uses a while loop to continuously prompt the user for text queries to send to the Gemini Pro Vision API alongside an image.

A dark-themed web interface displaying a cropped image of a bird branch, an input field with the query 'Tell some facts', and a response box showing 'European robin'. — Preview 2 of 3
This screenshot shows a deployed multimodal application where a user uploads an image of a bird branch and asks for facts, receiving an identification as a European robin.

A screenshot showing a Windows file explorer window open on the Desktop, displaying folders and image files like 'benji.jpg' and 'bird.jpg', overlaid on a web interface with a dark — Preview 3 of 3
The file explorer window is opened to select an image from the Desktop for upload into the application's drag-and-drop zone.