Google Colab

Google AI Studio is a web-based development platform from Google for exploring and evaluating Gemini models, developing prompts, and turning natural-language ideas into code and web applications. It supports integrations including Firestore, Cloud SQL, authentication, and database schema creation, and was used to create a mobile-responsive speaker-notes website.

Gemini is Google's AI model and assistant accessible through gemini.google.com. It processes mixed media including video, audio, images, and text, and can convert recordings into SOPs, summarize meetings, extract decisions, and draft follow-up emails. In research and development contexts, it serves as an alternative LLM backend for tasks such as adversarial audits of requirements and resume evaluation.

Jupyter Notebook is a web-based interactive computing platform and the original web application for creating and sharing computational documents. A notebook combines executable code, narrative text, equations, visualizations, interactive dashboards, and other rich outputs; it communicates with a language-specific computational kernel through an interactive JSON-based protocol over ZMQ and WebSockets. Notebooks use a JSON document format that records code, text, equations, and outputs, and support languages including Python, R, Julia, and Scala. Jupyter can run alongside data and be deployed with Docker or Kubernetes; JupyterHub provides multi-user deployment for organizations, classrooms, and research labs.

Google Cloud is Google’s cloud computing platform, providing hosted infrastructure, managed services, security, data management, and hybrid and multicloud capabilities. It includes Vertex AI for building and integrating AI applications and can host development workflows such as Claude Code.

Workshop Studio is a hosted Jupyter notebook environment with pre-created AWS accounts for building and testing an agent. In the described workshop, it hosts notebooks for developing a customer-service agent with Strands Agents, testing tool-call controls, adding skills and steering handlers, and preparing deployment to Amazon Bedrock AgentCore.