Leveraging AI Agents in Cloud Computing

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Leveraging AI Agents in Cloud Computing
Released 11/2024
With David Linthicum
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 32m 47s | Size: 160 MB​

Explore some of the current and future roles of using AI agent technology to drive innovation in cloud computing.

Course details
Are you looking to learn more about the promise of AI agent technology in cloud computing? Join instructor David Linthicum as he covers some current use cases as well as future opportunities for leveraging these powerful new systems and tools. Ideal for cloud architects, DevOps engineers, and cloud developers, this course was designed to help boost your understanding of AI, including AI agents, and the intersection with cloud computing. Explore the core concepts and common tools of agentic AI, with examples drawn from real-world applications. David guides you through the process of creating, deploying, managing, and optimizing successful AI agents. Along the way, get recommendations for strategic approaches, advanced tooling techniques, and practical guidance on evaluating agents for performance, impact, and efficiency. By the end of this course, you'll be equipped with the skills you need to harness the power of agentic AI to drive innovation and value for your organization.

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Leveraging AI Agents in Cloud Computing
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 28m | 160 MB
Instructor: David Linthicum​

Are you looking to learn more about the promise of AI agent technology in cloud computing? Join instructor David Linthicum as he covers some current use cases as well as future opportunities for leveraging these powerful new systems and tools. Ideal for cloud architects, DevOps engineers, and cloud developers, this course was designed to help boost your understanding of AI, including AI agents, and the intersection with cloud computing. Explore the core concepts and common tools of agentic AI, with examples drawn from real-world applications.

David guides you through the process of creating, deploying, managing, and optimizing successful AI agents. Along the way, get recommendations for strategic approaches, advanced tooling techniques, and practical guidance on evaluating agents for performance, impact, and efficiency. By the end of this course, you'll be equipped with the skills you need to harness the power of agentic AI to drive innovation and value for your organization.

Learning objectives

• Explain the basics of agentic AI and its relationship to cloud computing, including deployment types, use cases, and common tools.
• Describe the process of creating and deploying agent-based AI systems, including architecture types, strategic approaches, and tools.
• Evaluate the success of an AI agent deployment using core metrics that define business impact.

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