Cloud Computing and MLOps: Cloud and AI

Artificial Intelligence    |    Intermediate
  • 11 videos | 45m 48s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 23 users Rating 4.5 of 23 users (23)
Cloud computing is the on-demand delivery of computing services over the Internet. It enables scalable artificial intelligence (AI) and other advantages such as increased speed, scalability, and reduced cost. Through this course, learn about the role of cloud computing in AI. Explore the benefits and challenges of cloud computing, how to implement a cloud AI strategy, and the elements of the cloud computing architecture. Next, discover the importance of AI as a Service (AIaaS), the role of AI tools in data management and governance, and best practices for AI cloud security. Finally, learn about key cloud technologies for AI and emerging trends for cloud computing and AI. After course completion, you'll be able to outline elements of cloud computing in AI.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Identify the role of cloud computing in ai and its use cases
    Name the benefits and challenges of cloud computing
    List the steps for implementing a cloud ai strategy
    Identify the back and front-end elements of the cloud computing architecture
    Outline ai as a service (aiaas) and its importance
  • Recognize the role of ai tools in data management and governance
    Outline ai in cloud security and best practices for cloud security
    Name key cloud technologies for ai
    Identify future trends for cloud computing and ai
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 43s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 6m 1s
    After completing this video, you will be able to identify the role of cloud computing in AI and its use cases. FREE ACCESS
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    3.  The Benefits and Challenges of Cloud Computing
    7m 25s
    Upon completion of this video, you will be able to name the benefits and challenges of cloud computing. FREE ACCESS
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    4.  Cloud AI Strategy Implementation
    4m 18s
    In this video, we will list the steps for implementing a cloud AI strategy. FREE ACCESS
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    5.  The Architecture of Cloud Computing
    2m 39s
    After completing this video, you will be able to identify the back and front-end elements of the cloud computing architecture. FREE ACCESS
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    6.  AI as a Service (AIaaS)
    6m 58s
    In this video, we will outline AI as a Service (AIaaS) and its importance. FREE ACCESS
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    7.  Data Management and Governance Cloud AI Tools
    3m 37s
    Upon completion of this video, you will be able to recognize the role of AI tools in data management and governance. FREE ACCESS
  • Locked
    8.  AI in Cloud Security
    5m 23s
    In this video, we will outline AI in cloud security and best practices for cloud security. FREE ACCESS
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    9.  Key Cloud Technologies for AI
    3m 29s
    After completing this video, you will be able to name key cloud technologies for AI. FREE ACCESS
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    10.  Future Trends for Cloud Computing and AI
    4m 19s
    Upon completion of this video, you will be able to identify future trends for cloud computing and AI. FREE ACCESS
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    11.  Course Summary
    55s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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