Azure AI Fundamentals Course

Overall Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.

The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. Furthermore, Azure AI Fundamentals course demonstrates your knowledge of common ML and AI workloads and how to implement them on Azure.

Course Objectives:

By the end of the Azure AI Fundamentals Course, students will have usable knowledge of the following:

• Overall Describe AI workloads and considerations.
• Get started with AI on Azure
• Create no-code predictive models with Azure Machine Learning.
• Use automated machine learning in Azure Machine Learning.
• Create a Regression Model with Azure Machine Learning designer.
• Create a classification model with Azure Machine Learning designer.
• In turn Create a Clustering Model with Azure Machine Learning designer.
• Explore computer vision in Microsoft Azure.
• Analyze images with the Computer Vision service.
• Classify images with the Custom Vision service.
• Detect objects in images with the Custom Vision service.
• Detect and analyze faces with the Face service.
• Read text with the Computer Vision service.
• Analyze receipts with the Form Recognizer service.
• Explore natural language processing.
• Analyze text with the Text Analytics service.
• Recognize and synthesize speech.
• Translate text and speech.
• Create a language model with Language Understanding.
• Explore conversational AI.
• Build a bot with QnA Maker and Azure Bot Service.