Generative AI in a Weekend: Learn Google Gemini

Editorial course preview

What the public course preview actually shows

These 4 complementary views highlight concrete, legible examples from the course presentation.

A screenshot of a Google Cloud Vertex AI JupyterLab notebook interface displaying Python code that imports the vertexai library to initialize a TextGenerationModel and predict a 'B — Preview 1 of 4
This screenshot shows a Google Cloud Vertex AI JupyterLab notebook where Python code initializes a text generation model to list top DevOps tools.

A split-screen view showing a Generative AI Studio interface with model parameters on the left and a presentation slide comparing Zero Shot, One Shot, and Few Shot prompting on the — Preview 2 of 4
This split-screen view demonstrates practical application in Google's Generative AI Studio alongside theoretical concepts of Zero Shot, One Shot, and Few Shot prompting strategies.

A presentation slide titled '10,000 Feet Look at Generative AI - Google & Google Cloud' showing a vertical flowchart with three blocks: App(s), API, and Foundation Models. — Preview 3 of 4
This slide presents a high-level architectural overview of Generative AI, illustrating the flow from applications through APIs down to foundation models.

Preview 4 of 4

This profile slide introduces instructor Ranga Karanam of in28Minutes Official, highlighting his extensive cloud certifications and over one million students.