In this course, you will learn the fundamental concepts, methods, and strategies for using generative artificial intelligence. You will gain a solid understanding of use cases where generative AI can provide solutions and address business [...]
  • AWSMLGAIE
  • Duration 1 day
  • 0 ITK points
  • 0 terms
  • ČR (475 Kč)

    SR (475 €)

In this course, you will learn the fundamental concepts, methods, and strategies for using generative artificial intelligence. You will gain a solid understanding of use cases where generative AI can provide solutions and address business needs. You will also learn practical information about technologies related to generative AI and how to use these technologies to solve real-world problems. At the end of the course, you will explore project planning and how to communicate the implementation of generative AI within your organization.

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The course is intended for individuals with minimal prior knowledge of generative AI, such as:

  • Business analysts
  • IT support professionals
  • Marketing professionals
  • Product or project managers
  • Managers in IT or operations
  • Business managers

After completing the course, you will be able to:

  • Summarize the concepts, methods, and strategies of generative AI
  • Communicate the appropriate use of generative AI and machine learning and their technologies
  • Use generative AI responsibly and securely
  • Identify types of generative AI solutions and specific use cases
  • Explain the implementation and project planning of generative AI within your organization

No prior knowledge is required.

Introduction to Generative AI
What generative AI is, foundation models, AWS services for generative AI, demo

Using Generative AI in Specific Use Cases
Identifying suitable use cases, applying generative AI, scenarios

Prompt Engineering Fundamentals
Introduction to prompt design, best practices, advanced strategies, hands-on exercise

Principles of Responsible AI
Introduction to responsible AI, core dimensions, generative AI from a responsibility and security perspective, hands-on exercise

Security, Governance, and Compliance
Security overview, negative prompts, generative AI security services, governance, regulatory compliance

Implementing Generative AI Projects
Introduction, defining the use case, selecting a foundation model, improving performance, evaluating results, deploying the application

Integrating Generative AI into the Development Lifecycle
Introduction, hands-on exercise: creating a project plan using generative AI

Course Conclusion
Next steps, additional resources, course summary

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