Full Stack Deep Learning is an educational program designed to guide individuals through the complete journey of building AI applications. It offers comprehensive training on various topics, including model training, deployment, user experience design, and best practices for managing AI products. Participants engage with real-world projects, enhancing their skills and confidence in developing effective machine learning models and systems. The course emphasizes practical knowledge, providing students with the necessary tools and frameworks to succeed in the rapidly evolving AI landscape.

Governance.ai is designed to assist organizations in developing a robust AI governance framework. It provides resources for tracking AI models and data usage, ensuring ethical compliance, and enhancing transparency. By integrating best practices from various fields, Governance.ai helps users navigate the complexities of AI governance, balancing innovation with regulatory demands.

AI Engineer DevTools is a comprehensive developer toolkit that simplifies building and maintaining AI agents. It offers command-line scaffolding for project structure, code generation for standard agent patterns, environment configuration scripts, integrated testing frameworks, CI/CD pipeline examples, deployment automation, and monitoring setup. By reducing boilerplate and enforcing best practices, it ensures consistency, reliability, and rapid iteration in AI agent projects across development and production stages.

Azure AI Foundry Agents Samples provides developers with a rich set of example scenarios that illustrate how to leverage Azure AI Foundry SDKs and services. It includes conversational agents with long-term memory, planner agents that break down complex tasks, tool-enabled agents that call external APIs, and multimodal agents combining text, vision, and speech. Each sample is preconfigured with environment setups, LLM orchestration, vector search, and telemetry to accelerate prototyping and deployment of robust AI solutions on Azure.