Learn how to use the automated machine learning user interface in Azure Machine Learning.

Learn how to train and publish a regression model with Azure Machine Learning designer.

Train and publish a classification model with Azure Machine Learning designer

Train and publish a clustering model with Azure Machine Learning designer

Learn how to use the Computer Vision cognitive service to analyze images.

Learn how to use the Custom Vision service to create an image classification solution.

Learn how to use the Custom Vision service to create an object detection solution.

Learn how to use the Face cognitive service to detect and analyze faces in images.

Learn how to read text in images with the Computer Vision service

Learn how to use the built-in receipt processing capabilities of the Form Recognizer service

Learn how to use the Language service for text analysis

• Learn about speech recognition and synthesis
• Learn how to use the Speech cognitive service in Azure

Ability to navigate the Azure portal

• Learn what Conversational Language Understanding is.
• Learn about key features, such as intents and utterances.
• Build and publish a natural-language machine-learning model.

After completing this module, you’ll be able to create a knowledge base with an Azure Bot Service bot.

The AI 900 training program is designed for individuals who want to acquire foundational knowledge in AI and understand how AI can be leveraged using Microsoft Azure. It is suitable for technical and non-technical professionals, including developers, IT administrators, data analysts, business analysts, and decision-makers who want to explore AI capabilities in Azure.

The AI900 training covers a wide range of topics, including:

• Introduction to AI concepts and terminology
• Overview of Azure AI services and tools
• Cognitive Services: Computer Vision, Natural Language Processing, and Speech
• Azure Machine Learning: Model training and deployment
• Azure Bot Service: Creating and managing chatbots
• Responsible AI: Ethical considerations and privacy in AI applications

No specific prerequisites are required for attending the AI 900 training. However, having a basic understanding of cloud computing concepts and familiarity with Microsoft Azure will be beneficial.

By completing this training program, you will:

• Gain a fundamental understanding of AI concepts and terminologies.
• Learn about various AI services and tools offered by Microsoft Azure.
• Acquire the skills to develop and deploy AI models using Azure Machine Learning.
• Understand how to create and manage chatbots using Azure Bot Service.
• Learn about responsible AI practices, including ethical considerations and privacy.

The AI 900 training can be delivered through various methods, including in-person instructor-led training, virtual instructor-led training, or through online self-paced modules. The specific delivery method may vary depending on the training provider or platform you choose.

Yes, after completing the AI 900 training, you have the option to take the Microsoft certification exam AI-900: Microsoft Azure AI Fundamentals. This exam validates your knowledge of AI concepts and your ability to leverage Azure AI services. However, passing the exam is not mandatory to complete the training program.

No, the AI 900 training program does not provide a separate certification. However, if you choose to take and pass the AI-900 certification exam, you will earn the Microsoft Certified: Azure AI Fundamentals certification.

The duration of the training program can vary depending on the delivery method and the pace at which you choose to progress. In-person or virtual instructor-led training programs typically last for a few days.

To enroll in the AI 900 training program, click Enroll Now button, we will provide you with information on available training options, schedules, and enrollment procedures.