Cloud Computing with Big Data, Machine Learning & Artificial Intelligence

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• Cloud Computing with Big Data, Machine Learning & Artificial Intelligence 1:09:00

  • 1: Module 1 Introduction to Cloud Data 07:00
  • 2: Module 2 Cloud Data Storage Fundamentals 07:00
  • 3: Module 3 Data Ingestion and Integration in the Cloud 07:00
  • 4: Module 4 Cloud Databases and Querying 07:00
  • 5: Module 5 Cloud Data Security and Compliance 07:00
  • 6: Module 6 Big Data Analytics on Cloud Platforms 07:00
  • 7: Module 7 Machine Learning and AI with Cloud Data 07:00
  • 8: Module 8 Data Visualization and Reporting in the Cloud 07:00
  • 9: Module 9 Cloud Cost Management and Optimization 07:00
  • 10: Module 10 Future Trends and Challenges in Cloud Data 06:00
  • 11: Assignment -

• Review Request 01:00

  • 12: Review Request 01:00

• Claim Your Certificate 01:00

  • 13: Claim Your Certificate 01:00

This comprehensive module delves into the core infrastructure of cloud computing, providing a robust understanding of scalable architecture required to handle big data. We begin by examining the various deployment models within cloud computing, ensuring students grasp how these environments facilitate the storage and processing of big data while simultaneously enforcing data protection policies. Understanding the immense scale of big data is crucial, as it dictates the specific security measures needed for effective data protection within cloud computing platforms. A significant portion of the course is dedicated to the tools and technologies used to process big data, exploring distributed file systems and programming models and their role in a secure cloud computing environment. The principles of data protection, including encryption and compliance, are meticulously covered, demonstrating their critical role in impactful big data projects run via cloud computing. This course emphasizes that every successful big data initiative on a cloud computing platform is fundamentally reliant on a clear strategy for data protection. The journey into advanced analytics starts here, building upon skills developed through an understanding of cloud computing and a foundational appreciation for data protection when dealing with big data. Mastery of cloud computing and big data concepts is the first step toward effective system design and creating professional solutions that prioritize data protection. We continually reinforce the connection between strong cloud computing infrastructure, effective big data handling, and specialized data protection techniques.

The curriculum further explores the transition from simple data storage to sophisticated machine learning and artificial intelligence applications, all powered by cloud computing. We examine how effective big data pipelines and strong data protection principles can accelerate innovation on any cloud computing platform. Key governance and regulatory concepts essential to data protection are introduced, demonstrating how they apply to the lifecycle of big data within cloud computing services. A strong focus remains on using cloud computing resources efficiently while maintaining strict data protection standards for all big data. The successful execution of big data projects hinges on a solid understanding of cloud computing and the legal requirements for data protection. From data ingress to model deployment, the student learns the workflow of modern big data analytics using cloud computing. This module ensures a consistent focus on how the principles of data protection and the practical realities of handling big data are integrated into every aspect of contemporary cloud computing. The goal is to make the student fluent in the language of cloud computing and equipped to execute high-quality big data analysis with supreme data protection. The skills of data protection are vital for conceptualization within big data and cloud computing. This course provides the comprehensive groundwork in cloud computing built on big data analysis and data protection.

This course is ideally suited for IT professionals, data analysts, developers, and system architects who are looking to gain a comprehensive understanding of how cloud computing platforms support big data processing, machine learning, and artificial intelligence, all while maintaining rigorous standards of data protection. It is perfect for those interested in leveraging the scalability of cloud computing for big data solutions.

This Cloud Computing with Big Data, Machine Learning & Artificial Intelligence course requires no formal qualification to start.

A solid foundation in cloud computing with big data and data protection can open doors to roles such as Cloud Data Engineer, Big Data Analyst, Solutions Architect, or Security Analyst, all focused on the intersection of cloud computing, big data, and effective data protection strategies.

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