AI-900: Microsoft Certified: Azure AI Fundamentals
AI-900: Microsoft Certified: Azure AI Fundamentals
Published 6/2024
Duration: 1h14m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 900 MB
Genre: eLearning | Language: English
Published 6/2024
Duration: 1h14m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 900 MB
Genre: eLearning | Language: English
Pass Azure AI fundamentals - AI-900
What you'll learn
Artificial Intelligence workloads and considerations
Fundamental principles of machine learning on Azure
Describe features of computer vision workloads on Azure
Describe features of Natural Language Processing (NLP) workloads on Azure
Describe features of generative AI workloads on Azure
Requirements
No experience is required
No Prior certification is required
Description
Our Azure AI Fundamentals (AI-900) course is designed to provide a solid foundation in Microsoft's AI technologies for aspiring Azure professionals. Whether you're new to AI or aiming to formalize your skills with the AI-900 certification, this course equips you with essential knowledge and practical insights.
You will explore core AI concepts such as machine learning, computer vision, natural language processing, and conversational AI, all within the context of Microsoft Azure. Through hands-on labs and real-world scenarios, you'll learn to leverage Azure AI services effectively, gaining the ability to build intelligent solutions that drive business outcomes.
By the end of this course, you'll be prepared not only to pass the AI-900 exam but also to apply Azure AI tools and techniques to solve real-world challenges, making you a valuable asset in the rapidly evolving field of artificial intelligence. Gain confidence in implementing AI solutions on Azure, and embark on a path where you can innovate and contribute effectively to digital transformation initiatives across diverse industries. Start your journey to mastering Azure AI Fundamentals today with our comprehensive and practical course.
This course covers all aspects:
Describe Artificial Intelligence workloads and considerations (15–20%)
Describe fundamental principles of machine learning on Azure (20–25%)
Describe features of computer vision workloads on Azure (15–20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)
Describe features of generative AI workloads on Azure (15–20%)
Who this course is for:
Individuals interested in pursuing a career in Azure AI
Developers, data scientists, and IT professionals aiming to incorporate AI capabilities into their applications or solutions
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