Generative AI Essentials on AWS; Virtual Session (AGAI2609SEV)

Learn how to unlock the power of Generative AI from an expert AWS instructor

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.

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.

PRICE

EUR 770.00 (excl VAT)

THIS COURSE IS INTENDED FOR:

This course is intended for those with limited prior knowledge of generative AI:

• • Business analysts
  • IT supports
  • Marketing professionals
  • Product or project managers
  • Line-of-business or IT managers
  • Sales professionals

COURSE PREREQUISITES:

We recommend that attendees of this course have:

• None

THIS COURSE IS DESIGNED TO TEACH YOU HOW TO:

• Summarize generative AI concepts, methods, and strategies
  • Discuss the appropriate use of generative AI and machine learning and their technologies
  • Describe how to use generative AI responsibly and safely
  • Recognize the types of generative AI solutions with specific use cases
  • Explain implementation and project planning of generative AI to your organization
  • And much more

AGENDA 

Day 1

• 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

TECHNICAL REQUIREMENTS

You must bring your own laptop device to class in order to run hands-on labs. You are required to bring a device that meets the following requirements:

• A notebook computer with Wi-Fi
• Administrator access to the computer (if Windows, optional)
• Chrome or Firefox (Internet Explorer will not work)

CANCELLATION & PAYMENT POLICY

All prices are net prices. VAT will be added to the price. You have the right to cancel your registration free of charge up until 15 days prior to the event. Nordcloud holds the right to cancel the event 14 days prior to the event, in which case all paid seats will be refunded. A final event confirmation message will be sent to all registrants 14 days prior to the event. No refunds will be paid after the final event confirmation message has been sent. In case the event is cancelled a cancellation message will be sent