Course Duration
1 Day
Amazon
Authorized Training
IT
Course cost:
£1,056
IT Certification Overview
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 the course, you will explore project planning and how to discuss implementation of generative AI in your organization.
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Prerequisites
There are no prerequisites for this course.
Target Audience
This course is intended for those with limited prior knowledge of generative AI:
- Business analysts
- IT support
- Marketing professionals
- Product or project managers
- Line-of-business or IT managers
- Sales professionals
Learning Objectives
In this course, you will learn 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
Generative AI Essentials on AWS Course Content
Module 0: Course Introduction
- Course structure/schedule
- Five-phase learning journey
- Responsible AI foundational theme
Module 1: Responsible AI Foundations
- AI evolution: from traditional to generative
- Eight dimensions of responsible AI
- AWS commitment to responsible AI
Module 2: Introducing Generative AI
- Generative AI Foundation
- Foundation models and embeddings deep dive
- Amazon Bedrock and Amazon Nova 2 models
- Comparing models
Module 3: Multi-Modal AI and use cases
- Multimodal AI capabilities
- Industry applications and use cases
- Use case evaluation framework
Module 4: Essentials of prompt engineering
- Prompt engineering fundamentals
- Prompting strategies
- Prompt security and attach vectors
- Lab 1 - Optimizing Slogan Generation with Amazon Bedrock
Module 5: Implementing responsible AI with Amazon Bedrock Guardrails
- Amazon Bedrock guardrails overview and configuration
- Lab 2 - Implementing Responsible AI Principles with Amazon Bedrock Guardrails
Module 6: Introduction to Amazon Agents
- Agentic AI concepts
- Amazon Bedrock capabilities
- Amazon Bedrock AgentCore overview
- RAG and Knowledge Bases
Module 7: Introduction to Security, Governance, and Compliance
- From security principles to organizational accountability
- Governance frameworks
- Compliance requirements
Module 8: Implementing generative AI projects
- Project planning fundamentals
- Lab 3: Building an HR Assistant with Amazon Bedrock
Module 9: Summary
- Learning journey recap
- Next steps
Generative AI Essentials on AWS Dates
Next 3 available training dates for this course
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