Exam AI-900 Microsoft Azure AI Fundamentals
English | Tutorial | Size: 522.9 MB
3+ Hours of Video Instruction
Prepare to become an AI professional and ace the Microsoft Exam AI-900 with our comprehensive video course from Microsoft Press, covering everything from the fundamentals of AI to practical applications using Azure AI services.
The technologies covered in Microsoft Exam AI-900, including machine learning, natural language processing, computer vision, and cognitive services, are widely used in real-world applications across various industries.
In healthcare, AI is used for medical image analysis, drug discovery, and predicting patient outcomes. In finance, AI is used for fraud detection, credit scoring, and algorithmic trading. In retail, AI is used for recommendation systems, supply chain optimization, and inventory management. In manufacturing, AI is used for predictive maintenance, quality control, and autonomous robotics. In customer service, AI is used for chatbots, sentiment analysis, and personalized marketing.
These are just a few examples of how AI technologies are being used in the real world, and the demand for professionals with the skills to develop and implement these technologies is rapidly increasing.
About the Instructor
As an experienced and knowledgeable instructor with a background in AI and Microsoft Azure, Tim Warner is optimally suited to provide expert guidance and insights on the subject matter. The author presents the material in an engaging and easy-to-understand way that will resonate with the audience. Tim has 25 years of experience as a Microsoft technical professional, and Microsoft Certified Trainer (MCT). He is a Five-year veteran of the Microsoft MVP program. He has widespread knowledge of Microsoft AI technologies as a Microsoft FTE attached to several Azure product engineering teams, and has extensive experience teaching on Microsoft AI products, services, and certifications.
Skill Level:
Beginner
Intermediate
What You Will Learn:
After completing this video, you will be able to:
Comprehend Artificial Intelligence workloads and considerations
Understand fundamental principles of machine learning on Azure
Work with all features of computer vision workloads on Azure
Experiment with features of Natural Language Processing (NLP) workloads on Azure
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