Machine Learning

Validates deep expertise in building, training, tuning, and deploying ML models on AWS using SageMaker and related services. Covers data engineering, exploratory analysis, and ML implementation.

Validates ability to design, build, and productionize ML models using Google Cloud services including Vertex AI and Gemini. Covers ML pipeline design, model training, deployment, and monitoring.

Validates skills in building, managing, and deploying AI solutions using Azure AI services, Azure OpenAI, computer vision, NLP, and knowledge mining. High demand post-2023 GenAI boom — Microsoft's flagship AI engineering credential.

Entry-level certification covering artificial intelligence and machine learning concepts and Azure AI services including Azure AI, Cognitive Services, and Azure Machine Learning. Does not expire.