Using AI-powered Cloud Platforms for DevOps

Artificial Intelligence, DevOps    |    Intermediate
  • 14 videos | 1h 20m 8s
  • Includes Assessment
  • Earns a Badge
Using artificial intelligence (AI)-powered cloud platforms to build, train, and deploy AI models can help combat the increasing complexity and resultant pain points of DevOps implementation. In this course, you will explore AI-powered cloud platforms like Amazon SageMaker, Google AI Cloud Platform, Microsoft Azure AI, and IBM Watson. Then you will assess the scalability, performance, and monitoring benefits of AI platforms in DevOps. Next, you will explore integration, delivery, and deployment strategies for AI-powered cloud platforms, learn how to integrate IBM's Watson for handling customer support, and work with Amazon CodeGuru to analyze code for security issues. You will also investigate Microsoft Azure AI solutions to create a pipeline using Azure AI DevOps. Finally, you will examine Google Cloud AI tools, including Duet AI, to modernize apps, create application programming interfaces (APIs), and use natural language prompts to analyze data.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline common artificial intelligence (ai)-powered cloud platforms and their features
    Describe the scalability features of common ai-powered cloud platforms
    Describe how ai cloud platforms can impact efficiency, automation, and collaboration
    Compare ai continuous monitoring tools to traditional monitoring tools
    Evaluate integration, delivery, and deployment strategies for ai-powered cloud platforms
    Integrate ibm's watson for handling customer support
  • Outline the features of amazon devops and codeguru
    Work with amazon codeguru to analyze code for security issues
    Describe the features and capabilities of azure's ai and machine learning (ml) solutions
    Create a pipeline using azure ai devops
    Navigate the features of google cloud duet ai for software development and deployment
    Use google cloud ai tools to modernize apps, create application programming interfaces (apis), and use natural language prompts to analyze data
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 33s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 6m 34s
    After completing this video, you will be able to outline common artificial intelligence (AI)-powered cloud platforms and their features. FREE ACCESS
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    3.  AI-powered Cloud Platforms Scalability
    6m 57s
    Upon completion of this video, you will be able to describe the scalability features of common AI-powered cloud platforms. FREE ACCESS
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    4.  AI-powered Cloud Platform Performance
    7m 11s
    After completing this video, you will be able to describe how AI cloud platforms can impact efficiency, automation, and collaboration. FREE ACCESS
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    5.  Benefits of AI Monitoring
    6m 22s
    Upon completion of this video, you will be able to compare AI continuous monitoring tools to traditional monitoring tools. FREE ACCESS
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    6.  Integration, Delivery, and Deployment Strategies for AI-powered Cloud Platforms
    8m 47s
    After completing this video, you will be able to evaluate integration, delivery, and deployment strategies for AI-powered cloud platforms. FREE ACCESS
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    7.  Augmenting Customer Support with Watson
    5m 48s
    In this video, you will learn how to integrate IBM's Watson for handling customer support. FREE ACCESS
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    8.  Amazon DevOps and CodeGuru
    6m 55s
    Upon completion of this video, you will be able to outline the features of Amazon DevOps and CodeGuru. FREE ACCESS
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    9.  Using Amazon CodeGuru
    5m 8s
    During this video, discover how to work with Amazon CodeGuru to analyze code for security issues. FREE ACCESS
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    10.  Azure AI Solutions
    7m 27s
    After completing this video, you will be able to describe the features and capabilities of Azure's AI and machine learning (ML) solutions. FREE ACCESS
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    11.  Using Azure AI DevOps Pipeline
    5m 59s
    Find out how to create a pipeline using Azure AI DevOps. FREE ACCESS
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    12.  Using Google Cloud Duet AI for Software Development
    6m 15s
    During this video, you will learn how to navigate the features of Google Cloud Duet AI for software development and deployment. FREE ACCESS
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    13.  Working with Google's Cloud AI Tools
    5m 20s
    Discover how to use Google Cloud AI tools to modernize apps, create application programming interfaces (APIs), and use natural language prompts to analyze data. FREE ACCESS
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    14.  Course Summary
    53s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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