Dive into the world of generative AI with this comprehensive one-day course designed for business professionals and IT specialists. Gain a solid foundation in generative AI concepts, methods, and strategies, empowering you to identify suitable use cases and leverage cutting-edge technologies to solve real-world problems.
In this course, you will learn about the fundamental concepts, methods, and strategies for using generative AI. You will gain a solid understanding of use cases where generative AI can provide solutions and address business needs. Additionally, you will learn about practical insights into technologies related to generative AI and how you can use those technologies to solve real-world problems. By the end of thecourse, you will explore project planning and how to discuss implementation of generative AI in your organization.
This course is intended for those with limited prior knowledge of generative AI:
None
This course has no certification.
Through hands-on labs, demonstrations, and group exercises, you’ll master prompt engineering, explore responsible AI principles, and learn to implement generative AI projects securely. By the end of the course, you’ll be equipped to discuss implementation strategies with confidence, optimize slogan generation, create project plans using AI, and integrate generative AI into your organization’s development lifecycle. Whether you’re a business analyst, marketing professional, or IT manager, this course will transform your understanding of generative AI and its practical applications in today’s business landscape.
Course outline
Module 1: Introducing Generative AI
• Generative AI explained
• Foundation models
• AWS generative AI services
• Demo: Generative AI solution
Module 2: Exploring Generative AI Use Cases
• Identify suitable use cases
• Generative AI applications and use cases
• Explore generative AI use case scenarios
• Use case for class
Module 3: Essentials of Prompt Engineering
• Introduction to prompt engineering
• Prompt design best practices
• Advanced prompting strategies
• Model settings and parameters
• Hands-on Lab: Optimizing Slogan Generation with Amazon Bedrock
Module 4: Responsible AI Principles and Considerations
• Introduction to responsible AI
• Core dimensions of responsible AI
• Generative AI considerations
• Hands-on Lab: Implementing Responsible AI Principles with Amazon Bedrock Guardrails
Module 5: Security, Governance, and Compliance
• Security overview
• Adverse prompts
• Generative AI security services
• Governance
• Compliance
Module 6: Implementing Generative AI Projects
• Introduction – Generative AI application
• Define a use case
• Select a foundational model
• Improve performance
• Evaluate results
• Deploy the application
• Demo: Amazon Q Business
Module 7: Integrating Generative AI into the Development Lifecycle
• Introduction
• Hands-on Lab: Capstone – Creating a Project Plan with Generative AI
Module 8: Course Wrap-up
• Next steps and additional resources
• Course summary
Course Overview
9 990 kr
1 day
Can’t find a (suitable) date, but are interested in the course? Send in an expression of interest and we will do what we can to find a suitable opportunity.
Customized Courses
The course can be adapted from several perspectives:
In interaction with the course leader, we ensure that the course meets your needs.
Stockholm
Göteborg
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