AI and Machine Learning

Build a Natural Language Processing Solution with Azure AI Services (AI-3003) is a dynamic one-day course tailored for software developers keen on integrating AI capabilities into their applications utilizing Azure AI Services and Azure AI Language

Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale.

Artificial intelligence (AI) and machine learning (ML) are opening up new ways for enterprises to solve complex problems, but they will also have a profound effect on the underlying infrastructure and processes of IT.

Machine Learning Engineering on AWS (AWS-MLMLEA) is a three-day intermediate course that teaches you how to design, build, train, and deploy production-ready machine learning solutions using AWS services like Amazon SageMaker.

Gain practical skills and actionable insights to implement AI initiatives that drive meaningful improvements across various organizational functions.

Harness the power of Generative AI to identify use cases, manage AI projects, solve business problems and secure AI systems effectively

Learn to apply AI in everyday testing to improve coverage, reduce maintenance, and make testing faster and more reliable.

Apply Cutting-Edge AI to Accelerate Code, Documentation, and Testing; Improve User Interfaces; and Build Flexible, Dynamic Content

A form of intelligent systems that moves beyond the limits of chat-based AI or productivity assistants.

CompTIA SecAI+ is the first certification in our expansion series, designed to help you secure, govern and responsibly integrate artificial intelligence into your cybersecurity operations.

This course is intended for software developers wanting to build AI infused applications that leverage Microsoft Foundry