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Azure AI fundamentals : complete AI-901 certification guide.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Video
Contributor:
Nednur, Anand Rao, instructor.
Packt Publishing, publisher.
Language:
English
Subjects (All):
Artificial intelligence--Examinations--Study guides.
Artificial intelligence.
Microsoft Azure (Computing platform)--Examinations--Study guides.
Microsoft Azure (Computing platform).
Physical Description:
1 online resource (1 video file (4 hr., 4 min.)) : sound, color.
Edition:
[First edition].
Place of Publication:
[Birmingham, United Kingdom] : Packt Publishing, 2026.
Summary:
In this 4-hour course, you will gain comprehensive knowledge of Azure AI fundamentals, with a focus on preparing for the AI-901 certification. Explore key AI workloads, responsible AI principles, and AI solution deployment on Azure through video lessons and hands-on labs. What I will be able to do after this course Understand the history and evolution of AI from myths to modern-day applications Implement AI solutions using Azure's AI infrastructure and resource management tools Apply responsible AI principles, ensuring fairness, transparency, and inclusivity Work with generative AI tools like large language models and AI agents Utilize Azure's AI capabilities for NLP, speech-to-text, and image recognition tasks Course Instructor(s) Anand Rao Nednur is an IT expert with over 20 years in cloud computing and cybersecurity. He specializes in Azure, AWS, and Google Cloud, with hands-on expertise in designing secure, scalable cloud solutions. Anand creates blogs and videos to simplify complex IT concepts. Who is it for? This course is for aspiring AI professionals, cloud architects, and IT specialists aiming to gain expertise in Azure AI and earn the AI-901 certification. It is ideal for those working with or transitioning into AI technologies and provides a solid foundation in machine learning and AI deployment on Azure.
Notes:
OCLC-licensed vendor bibliographic record.
ISBN:
1-80778-297-2
OCLC:
1586872987

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