Undergraduate Certificate in Data Engineering for AI Cloud Solutions

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The Undergraduate Certificate in Data Engineering for AI Cloud Solutions is a comprehensive course designed to equip learners with essential skills for career advancement in the rapidly growing field of data engineering. This certificate program focuses on the importance of data engineering in the era of AI and cloud solutions, where businesses increasingly rely on data-driven decision-making.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

In this course, learners will gain hands-on experience with cloud-based data engineering tools and technologies, enabling them to design, build, and maintain scalable and secure data systems. The program covers essential topics such as data warehousing, data pipelines, data lakes, and big data processing, providing a solid foundation in data engineering concepts and best practices. With the increasing demand for data engineering professionals in various industries, this certificate course offers learners a competitive edge in the job market. By completing this program, learners will be prepared to pursue exciting career opportunities in data engineering, artificial intelligence, and cloud solutions, further enhancing their expertise and career growth.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Data Engineering Fundamentals: Introduction to data engineering, data lifecycle, data storage, and data processing.
โ€ข Cloud Computing Basics: Overview of cloud computing, cloud service models, cloud deployment models, and popular cloud providers.
โ€ข Data Ingestion and Processing: Techniques for data ingestion, real-time data processing, and batch data processing.
โ€ข Data Storage in the Cloud: Cloud-based data storage options, including relational databases, NoSQL databases, and data warehouses.
โ€ข Data Orchestration and Pipelines: Data orchestration tools, workflow management, and creating data pipelines in the cloud.
โ€ข Big Data Technologies: Introduction to big data, Hadoop ecosystem, Spark, and Flink.
โ€ข Machine Learning Foundations: Basics of machine learning, supervised and unsupervised learning, and model evaluation.
โ€ข AI in Cloud Solutions: Artificial intelligence in cloud computing, AI services offered by popular cloud providers, and AI use cases.
โ€ข Data Security and Compliance: Data security principles, encryption techniques, compliance requirements, and best practices.

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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‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
UNDERGRADUATE CERTIFICATE IN DATA ENGINEERING FOR AI CLOUD SOLUTIONS
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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