This repository contains hands-on labs that help you practice and build skills associated with Intel® Certified Developer – MLOps Professional Certification exam.

Whether you are deploying an AI project into production or adding AI to an existing application, building a performant and scalable machine learning operations (MLOps) environment is crucial to maximizing your resources. This curriculum teaches you to incorporate compute awareness into the AI solution design process to maximize performance across the AI pipeline.

Lab 1: Building REST API Endpoints with FastAPI

Lab 2: Practice creating Architecture diagrams from Application Specs

Lab 3: Implementing Model Development Components with MLflow

Lab 4: Building an Inference Endpoint using FastAPI

Lab 5: Intel Deep Learning Optimizations

Lab 6: Hugging Face LLM Inference

Lab 7: Optimizing the Full Stack with OneAPI

Lab 8: Retrieval Augmented Generation with PyTorch 2.0 and LangChain

Lab 9: Your First Open Source Contribution