Overview
This one-day ILT course provides a solid foundation in generative AI, covering the key concepts, use cases, and AWS services. It will be instrumental in large scale foundational enablement of target audience including mostly non-tech roles – who have little prior generative AI knowledge, are using, will use, or make decisions to use AI technologies but do not necessarily build AI solutions on AWS. Roles include but not limited to: Business analyst, IT support, Marketing professional, Product or project manager, Line-of-business or IT manager, Sales professional, etc.
Prerequisites
Target Audience
Business professionals and non-technical staff who require an appreciation of teh concepts and capabilties of the primary AWS GenAI tools
Delegates will learn how to
On Completion of this course you will:
- Understand generative AI concepts, methods, and strategies in general and on AWS
- Understand the appropriate use of AI/ML and generative AI technologies
- Use generative AI technologies responsibly and safely
- Determine the correct types of generative AI technologies to apply to specific use cases
- Identify how to implement generative AI in your organization/ plan a Generative AI Project
This course will introduce the following AWS GenAI technologies:
- Amazon SageMaker
- Amazon Bedrock
- Amazon Q
- PartyRock
Outline
Module 1: Introducing to Generative AI
- GenAI Explained
- Foundation Models
- AWS Generative AI services
Module 2: Exploring Use Cases for Generative AI
- Identify suitable use cases
- GenAI Applications and use cases
- Generative AI use case: Activitiy
- Use Case for class
Module 3: Essentials of Prompt Engineering
- Introduction to prompt engineering
- Prompt design best practice
- Advanced Prompt strategies
- Hands-on Lab: Optimizing Slogan Generation with Amazon Bedrock and Claude Sonnet
Module 4: Responsible AI Principals and Considerations
- Intro to responsible AI
- Core Dimensions of responsible AI
- Implementing responsible AI
- GenAI considerations
- Hands-on Lab: Securing AI with Amazon Bedrock Guardrails
Module 5: Security, Governance, and Compliance
- Security Overview
- Adverse Prompts
- AWS security services
- Governance
- Compliance
Module 6: Implementing Generative AI Projects
- Introduction - Generative AI application Lifecycle
- Define a use case
- Select a foundation model
- improve performance
- Evaluate results
- Deploy the application
Module 7: Integrating Generative AI into the Development Lifecycle
- Amazon Q demo
- Hands-on Lab: Capstone: Creating a Project Plan with Generative AI
Module 8: Course Wrap-up
Frequently asked questions
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QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.
All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.
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When will I receive my certificate?
Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.