AI Development Track
The AI Development Track is a hands-on journey that takes students from Python fundamentals all the way to becoming a professional AI Engineer. Over three intensive courses, you'll master the complete AI development lifecycle and have a portfolio of production-ready applications. This program is designed for those ready to move beyond using AI to building the intelligent applications of tomorrow.
Applied AI, Agents & Automation
Course 3 of 3
Engineer intelligent systems—not just models.
This advanced course pushes you into the world of production‑grade AI engineering. You’ll build autonomous agents, orchestrate workflows with both code and low‑code tools, fine‑tune open‑source LLMs, and implement Retrieval‑Augmented Generation (RAG) for long‑term memory. Finally, you’ll containerize a multi‑service AI system and deploy it on a GPU‑accelerated Kubernetes cluster. This is where developers become AI engineers. Ideal for: Software developers who want to specialize in Artificial Intelligence and Large Language Model (LLM) integration. Data scientists looking to operationalize their models and move them from notebooks to production web services. DevOps engineers who need to understand the specific infrastructure requirements of AI workloads, including GPU orchestration. Graduates of Course 2 ready to apply their full-stack and DevOps skills to the cutting edge of AI technology.
Prerequisite Skills
This is an advanced course that combines software engineering with data science. To ensure success, students should have:
Full-Stack Development Experience: Strong proficiency in Python, web frameworks (Flask/FastAPI), and API design, as covered in Course 2: Cloud-Native App Deployment.
Containerization & DevOps Skills: A solid understanding of Docker, GitLab CI/CD pipelines, and basic Kubernetes concepts.
Database Knowledge: Comfort with SQL and interacting with databases programmatically.
Understanding of Machine Learning Basics: While we teach advanced techniques, a conceptual understanding of what a model is (from Course 1: Python AI Fundamentals or equivalent experience) is helpful.
