This course contains the use of artificial intelligence. Build the future of intelligent infrastructure with AI Agents for Cloud Infrastructure, a hands-on, end-to-end program designed to take you from beginner to expert in one of the most in-demand areas of modern technology. This course focuses on the powerful intersection of Artificial Intelligence and Cloud Computing, where AI agents are no longer just assistants—but autonomous systems capable of managing, optimizing, and controlling real-world infrastructure across AWS, Azure, and Google Cloud Platform (GCP).
You’ll start by building a strong foundation in Python programming, APIs, and Linux, ensuring you understand how modern systems actually work under the hood. From there, you’ll dive deep into core cloud concepts like compute (EC2), storage (S3), databases (RDS), and networking (VPC), while gaining hands-on experience deploying real infrastructure. A major focus is on Infrastructure as Code (IaC) using tools like AWS CloudFormation and Terraform, enabling you to define, version, and automate infrastructure reliably.
Once the cloud fundamentals are in place, the course transitions into AI engineering. You’ll learn how Large Language Models (LLMs) work, master prompt engineering, and build intelligent systems using tool-calling agents and the ReAct framework. You’ll go beyond single agents to design multi-agent systems with defined roles like planner, executor, and validator—integrated with memory systems using vector databases such as FAISS and Chroma.
