Professional Certificate in ML Automation: Connected Systems

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The Professional Certificate in ML Automation: Connected Systems is a crucial course for those interested in machine learning (ML) and artificial intelligence (AI). This program covers the automation of ML workflows, model deployment, and connected systems, which are in high demand in today's industry.

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By enrolling in this course, learners will gain essential skills in MLOps, ML engineering, and data science. They will learn how to design, build, and deploy ML models using popular frameworks and platforms, such as TensorFlow, Kubeflow, and AWS SageMaker. Upon completion, learners will be equipped with the skills necessary to advance their careers in ML engineering, data science, and AI. They will have a deep understanding of the entire ML lifecycle, from data preparation to model deployment, and be able to apply these skills to real-world problems, making them highly valuable to employers in various industries.

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โ€ข Unit 1: Introduction to Machine Learning (ML) Automation
โ€ข Unit 2: Connected Systems and ML
โ€ข Unit 3: Sensors and Data Acquisition for ML
โ€ข Unit 4: ML Algorithms and Model Training
โ€ข Unit 5: Model Evaluation and Selection
โ€ข Unit 6: Deploying ML Models in Connected Systems
โ€ข Unit 7: Real-Time Data Processing and Analysis
โ€ข Unit 8: Scaling ML Automation in Connected Systems
โ€ข Unit 9: Security and Privacy in ML Automation
โ€ข Unit 10: Best Practices and Trends in ML Automation

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PROFESSIONAL CERTIFICATE IN ML AUTOMATION: CONNECTED SYSTEMS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London College of Foreign Trade (LCFT)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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