- Course
- AI
Deploying AI Agents in Production Environments
Take your AI Agents from prototype to production. This course will teach you how to prepare, launch, monitor, and maintain AI Agents in real-world cloud environments.
What you'll learn
Building innovative AI Agents is achievable for many, but deploying them to robust, scalable, and maintainable production environments presents unique challenges. In this course, Deploying AI Agents in Production Environments, you’ll learn how to prepare, launch, monitor, and maintain AI Agents in real-world cloud environments. First, you’ll explore how to prepare your AI Agent for production by understanding common deployment challenges, strategizing for costs, and packaging your agent with tools like Docker. Next, you’ll discover how to launch your containerized AI Agent onto a scalable platform, making it operational. Finally, you’ll learn how to monitor your deployed agent and implement updates and maintenance using CI/CD best practices. When you’re finished with this course, you’ll have the skills and knowledge of AI Agent deployment needed to prepare, launch, monitor, and maintain AI Agents in real-world cloud environments.
Table of contents
About the author
Pratheerth is a freelance Data Scientist who has entered the field after an eclectic mix of educational and work experiences.