Certificate in Designing Scalable ML Systems

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The Certificate in Designing Scalable ML Systems course is a comprehensive program that focuses on building and deploying large-scale machine learning (ML) systems. This course is essential for professionals who want to stay at the forefront of the rapidly evolving field of ML and AI.

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With the increasing demand for ML systems in various industries, there is a growing need for professionals who can design, build, and maintain these systems. This course equips learners with essential skills in distributed computing, data management, model deployment, and monitoring, providing them with a competitive edge in the job market. Learners will gain hands-on experience with popular ML frameworks and tools, such as TensorFlow, Kubernetes, and Docker, and learn how to apply them to real-world problems. By the end of the course, learners will have a deep understanding of the challenges and best practices in designing scalable ML systems and be prepared for careers as ML engineers, data scientists, and AI specialists.

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โ€ข Unit 1: Introduction to Scalable Machine Learning Systems
โ€ข Unit 2: Data Engineering and Preprocessing for Scalability
โ€ข Unit 3: Distributed Computing Fundamentals
โ€ข Unit 4: Machine Learning Algorithms and Scalable Implementations
โ€ข Unit 5: Big Data Processing with Apache Spark
โ€ข Unit 6: Cloud Computing for Scalable ML Systems
โ€ข Unit 7: Monitoring and Tuning Scalable ML Systems
โ€ข Unit 8: Deployment and Maintenance of Scalable ML Systems
โ€ข Unit 9: Security and Compliance in Scalable ML Systems
โ€ข Unit 10: Best Practices and Emerging Trends in Scalable ML Systems

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CERTIFICATE IN DESIGNING SCALABLE ML SYSTEMS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
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05 May 2025
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