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