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
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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
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33sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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6m 34sAfter 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 Scalability6m 57sUpon 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 Performance7m 11sAfter 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 Monitoring6m 22sUpon 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 Platforms8m 47sAfter 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 Watson5m 48sIn 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 CodeGuru6m 55sUpon 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 CodeGuru5m 8sDuring this video, discover how to work with Amazon CodeGuru to analyze code for security issues. FREE ACCESS
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10. Azure AI Solutions7m 27sAfter 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 Pipeline5m 59sFind out how to create a pipeline using Azure AI DevOps. FREE ACCESS
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12. Using Google Cloud Duet AI for Software Development6m 15sDuring 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 Tools5m 20sDiscover 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 Summary53sIn 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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