Advanced Certificate in AWS & Azure: AI and Machine Learning in the Cloud

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The Advanced Certificate in AWS & Azure: AI and Machine Learning in the Cloud is a comprehensive course designed to equip learners with essential skills for career advancement in the rapidly growing field of cloud-based AI and Machine Learning. This program focuses on the practical application of artificial intelligence and machine learning technologies in Amazon Web Services (AWS) and Microsoft Azure, two leading cloud service platforms.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

In today's digital age, there is an increasing demand for professionals who can leverage AI and Machine Learning to drive business innovation and growth. This course is specifically designed to meet that demand, providing learners with hands-on experience in designing, deploying, and managing AI and Machine Learning workloads in the cloud. By completing this course, learners will gain a competitive edge in the job market, with the skills and knowledge necessary to succeed in a variety of high-growth careers in technology and business. With a focus on real-world applications, this course covers a range of topics, including cloud computing fundamentals, AI and Machine Learning algorithms, deep learning, natural language processing, and computer vision. Learners will also gain experience in using popular AI and Machine Learning tools and frameworks, such as TensorFlow, PyTorch, and Azure Machine Learning Studio. Through a combination of lectures, hands-on labs, and interactive exercises, learners will develop a deep understanding of the concepts and practical skills necessary to succeed in this exciting and dynamic field. Overall, the Advanced Certificate in AWS & Azure: AI and Machine Learning in the Cloud is an essential course for anyone looking to advance their career in AI and Machine Learning. By completing this course, learners will be well-positioned to take advantage of the many opportunities available in this growing field, and to make meaningful contributions to the development and deployment of AI and Machine Learning technologies in the cloud.

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ


โ€ข Cloud Adoption Strategies for AI and Machine Learning
โ€ข Overview of AWS and Azure: Key Services and Differences
โ€ข AWS Machine Learning Services: SageMaker, Comprehend, and Rekognition
โ€ข Azure Machine Learning Services: Designer, Studio, and MLOps
โ€ข Building Scalable AI Solutions with AWS SageMaker
โ€ข Deploying and Managing Azure Machine Learning Models
โ€ข Data Engineering for AI and Machine Learning in AWS and Azure
โ€ข Computer Vision and Natural Language Processing on AWS and Azure
โ€ข Ethical Considerations in AI and Machine Learning
โ€ข Designing and Implementing AI Solutions in a Regulated Environment

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ใ‚ณใƒผใ‚นใ‚’ๆญฃๅธธใซๅฎŒไบ†ใ™ใ‚‹ใจใ€ไฟฎไบ†่จผๆ˜Žๆ›ธใ‚’ๅ—ใ‘ๅ–ใ‚Šใพใ™ใ€‚

ใชใœไบบใ€…ใŒใ‚ญใƒฃใƒชใ‚ขใฎใŸใ‚ใซ็งใŸใกใ‚’้ธใถใฎใ‹

ใƒฌใƒ“ใƒฅใƒผใ‚’่ชญใฟ่พผใฟไธญ...

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ใ‚ณใƒผใ‚นใ‚’ๅฎŒไบ†ใ™ใ‚‹ใฎใซใฉใ‚Œใใ‚‰ใ„ๆ™‚้–“ใŒใ‹ใ‹ใ‚Šใพใ™ใ‹๏ผŸ

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ใ„ใคใ‚ณใƒผใ‚นใ‚’้–‹ๅง‹ใงใใพใ™ใ‹๏ผŸ

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ใ‚ณใƒผใ‚นๆƒ…ๅ ฑใ‚’ๅ–ๅพ—

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ไผš็คพใจใ—ใฆๆ”ฏๆ‰•ใ†

ใ“ใฎใ‚ณใƒผใ‚นใฎๆ”ฏๆ‰•ใ„ใฎใŸใ‚ใซไผš็คพ็”จใฎ่ซ‹ๆฑ‚ๆ›ธใ‚’ใƒชใ‚ฏใ‚จใ‚นใƒˆใ—ใฆใใ ใ•ใ„ใ€‚

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ใ‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
ADVANCED CERTIFICATE IN AWS & AZURE: AI AND MACHINE LEARNING IN THE CLOUD
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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