Cloud Native AI Microservices

This course focuses on building scalable and robust AI-powered APIs using a range of modern tools and frameworks, including FastAPI, GQL, Neo4j, Kafka, Kong, GenAI APIs (like OpenAI Chat Completion and Assistant APIs), LangChain, and open-source AI LLMs. Students will learn to develop these APIs using containers and DevContainers, and deploy them locally with Docker Compose or on the cloud with Kubernetes-powered serverless container services.

In addition to the technical aspects, the course introduces design thinking and Behavior-Driven Development (BDD) to ensure AI solutions are deeply aligned with user needs and expectations. Design thinking provides a framework for understanding users and the problem space, while BDD offers a structured approach to defining and validating AI system behaviors. Together, these methodologies enable students to create AI solutions that are not only technically robust but also highly user-centric and effective in addressing real-world problems.