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Generative AI Essentials on AWS
- Categories:
- Artificial Intelligence Cloud
- Level:
- Fundamentals
- Code:
- AMWSGAIE
- Exam:
- Yes - Available separately
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.
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
What's included
Select your preferred way to learn:
What is Virtual?
Live, instructor-led training delivered online
Interactive online sessions led by subject matter experts. Learners join live classes, take part in discussions, and complete practical exercises from any location, making it easy to fit collaborative learning into busy schedules.
If you prefer to connect to a course that is taking place in a physical classroom, you can choose our Remote Access option. .
Best for: Teams and individuals who want expert guidance, real-time collaboration, and flexible access.
What's included?
1 Day instructor led course
Exam included
6 month free access to QA learning platform
Free 6-Month Access: Learning Platform Discovery plan
Included FREE with every instructor‑led course
Get free guided access to the QA Learning Platform. Assess your skills, explore in-demand topics, and understand which areas to focus on.
Learn AI, Cloud, Data, and Leadership skills at your own pace.
Put skills into practice with hands-on Labs and Simulabs.
Validate knowledge and highlight gaps with skills assessments.
What is bespoke training?
Custom instructor-led training designed by QA to fit your needs
Tailored programmes built around your organisation’s goals, challenges, and skill levels. Delivered in the format that suits you to maximise relevance and impact.
Best for: Organisations and teams looking to target specific business priorities and capabilities with QA subject matter expertise.
Find out more about the course:
Learning outcomes
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
Course outline
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
Good to know
Ready to book? Complete the form and a member of our team will be in touch shortly to discuss your options.
Let’s make it work for you. Speak to one of our learning experts today.
What our customers are saying
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Global Partner Sales Executive, Microsoft Worldwide Learning
"The AI Champions Pathway was invaluable at really helping to super-charge AI adoption across Awaze... we've seen the application of AI-first thinking grow rapidly; from simple everyday ChatGPT usage for communications, to the creation of GPTs, to evolved complaints handling processes. As a business, we now see innovative, AI-first thinking as a key enabler to our strategic priorities, rather than a nice-to-have.”
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People Transformation Lead, Awaze
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Senior Go To Market Manager - M365 Copilot Microsoft UK
Portfolio Director
Dr Vicky Crockett
Portfolio Director – Artificial Intelligence
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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.