Workshop: Gemini CLI with Model Context Protocol (MCP) and ML Certifications
This workshop offers a practical exploration of the Gemini Command-Line Interface (CLI) and its integration with the Google Cloud Platform (GCP). The session is designed for professionals and enthusiasts seeking to leverage generative AI within their development workflows. The Model Context Protocol (MCP) is an open standard that enables AI models to interact with external tools and systems.
Participants will gain a foundational understanding of how to configure and operate this powerful, no-cost tool for seamless interaction with the Gemini API. The curriculum includes practical exercises on executing prompts, analyzing code, and automating routine development tasks, all from within a command-line environment.
This event is a pilot program, and we expect collaboration from participants to be instrumental in improving the workshop for future iterations. The content is structured to be functionally similar to other command-line AI tools, with a dedicated focus on the unique capabilities of the Gemini API.
Learning Objectives
Procedures for the installation and configuration of the Gemini CLI.
Fundamental usage of the tool for a variety of tasks.
Integration of the CLI with the Gemini API via GCP.
Strategies for optimizing AI-powered workflows.
Prerequisites
To ensure a productive learning experience, prospective attendees should meet the following requirements:
Computing Device: A personal computer with a stable internet connection.
Command-Line Interface: A pre-installed terminal application is required (e.g., Terminal on macOS/Linux, PowerShell or Windows Subsystem for Linux (WSL) on Windows).
Google Account: A Google account, which is necessary to configure access to the Gemini API.
Agenda
