Unlock the Power of Generative AI: Free 1-Day Virtual Training for EMEA
Master the fundamentals of Generative AI on AWS, explore real-world use cases, and build your implementation plan in an exclusive, live instructor-led session.
Cost: 100% Free
Duration: 1 Day (Instructor-Led)
Level: Beginner (No prior GenAI experience required)
Available Sessions:
Session 1: June 22nd | 10:00 - 17:00 (GMT+3)
Session 2: July 2nd | 10:00 - 17:00 (GMT+3)
*This training is exclusive to the EMEA region. Registrations from other regions will be considered invalid.
Supercharge Your Business & Career with Generative AI
Generative AI is reshaping industries across the globe. Are you ready to leverage its potential?
Generative AI Essentials on AWS is a comprehensive, 1-day instructor-led training designed to bridge the gap between AI concepts and business reality. In this course, you will gain a solid understanding of where Gen AI can provide solutions to address your organization's core needs.
From the essentials of prompt engineering to security, compliance, and project planning, you will walk away with practical insights and a concrete strategy to discuss and implement Generative AI in your organization.
What You Will Learn
By the end of this intensive training, you will be able to:
- Summarize core Generative AI concepts, methods, and strategic applications.
- Identify the right use cases where GenAI and machine learning can solve real business problems.
- Apply responsible and safe AI practices within your organization.
- Design high-performing prompts using AWS technologies.
- Plan & Implement a Generative AI project from ideation to deployment.
Who Should Attend?
This foundational course is tailored for professionals in the EMEA region looking to drive innovation:
- Business Managers & Leaders: Looking to identify AI opportunities and plan organizational implementation.
- IT Professionals: Seeking to understand AWS GenAI services, infrastructure, and compliance.
- AI & Software Engineers: Beginners wanting to dive into prompt engineering, Foundation Models, and Amazon Bedrock.
Comprehensive 1-Day Agenda
Our curriculum blends theoretical strategies with hands-on practical experience.
| Introducing Generative AI |
| Generative AI explained |
| Foundation models |
| AWS generative AI services |
| Demo: Generative AI solution |
| 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 |
| 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 |
| 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 |
| Security, Governance, and Compliance |
| Security overview |
| Adverse prompts |
| Generative AI security services |
| Governance |
| Compliance |
| 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 |
| Integrating Generative AI into the Development Lifecycle |
| Introduction |
| Hands-on Lab: Capstone – Creating a Project Plan with Generative AI |
Why Learn GenAI on AWS?
AWS provides the most flexible, secure, and scalable tools to build and scale Generative AI applications. Through interactive demos and hands-on labs featuring Amazon Bedrock and Amazon Q Business, you will experience the exact tools that top-tier enterprises use to drive innovation today.
Ready to Build the Future?
Seats for this free instructor-led training are limited to ensure an interactive learning environment for all EMEA participants. Don't miss out on mastering the technology defining the next decade.
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