AI & Data - Amazon Web Services (AWS) - Generative AI Essentials on AWS
A practical course focused on Amazon Web Services (AWS) - Generative AI Essentials on AWS. Participants build skills across three priorities: Introduction to Generative AI, Exploration of the Use Cases for Generative AI, Essential Prompts Engineering Concepts.
Detailed programme
Introduction to Generative AI
- Explanation of general AI.
- Basic models.
- AWS general AWS services.
Demonstration
- Generative AI solution.
Exploration of the Use Cases for Generative AI
- Identify relevant use cases.
- Applications and case of use of general AI.
- Explore scenarios for the use of general AI.
Case study
- Use for exercise in the classroom.
Essential Prompts Engineering Concepts
- Introduction to rapid engineering.
- Good practice in the design of prompts.
- Advanced strategies of prompting.
- Model settings and parameters.
Hands-on work
- Optimization of slogan generation with Amazon Bedrock.
Principles and Considerations for an Ethically Responsible AI
- Introduction to responsible AI.
- Key dimensions of responsible AI.
- Considerations specific to general AI.
Hands-on work
- Implementation of the principles of responsible AI with Amazon Bedrock Guardrails.
Security, Governance, and Compliance
- Security overview.
- Malware prompts.
- Security services for general AI.
- Governance.
- Compliance.
Implementation of Generative AI Projects
- Introduction: General application of the AI.
- Define a case of use.
- Select a fundamental model.
- Improve performance.
- Evaluate the results.
- Deploy application.
Demonstration
- Amazon Q Business.
Integration of general AI into the development cycle
- Introduction.
Hands-on work
- Final project: Creation of a project plan with the general AI.
Course Conclusion
- Next steps and additional resources.
- Course summary.
Tell us about your project
Our offices
- Exceev Consulting
61 Rue de Lyon
75012, Paris, France - Exceev Technology
332 Bd Brahim Roudani
20330, Casablanca, Morocco