AWS Generative AI Essentials
Understand core Generative AI concepts, use cases, and responsible AI with Firebrand, official AWS Training Partner.
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What youâll learn
On this course, you will learn the fundamental concepts, technologies, and best practices for using Generative AI on AWS.
You will gain a solid understanding of how generative AI differs from traditional AI, where it can deliver business value, and how organisations can apply it responsibly. Additionally, you will explore AWS services such as Amazon Bedrock, Amazon Nova, and Amazon Bedrock AgentCore, and learn how these technologies can be used to build and deploy generative AI solutions.
By the end of the Generative AI Essentials on AWS course, you will understand key considerations for implementing generative AI in your organisation, from project planning through to governance and responsible AI practices.
This course covers the latest update to AWS Generative AI Essentials, V2.0.
With Firebrand, you will learn about foundation models, large language models, agentic AI, and how generative AI systems create new content.
You will also delve into:
Exploring how generative AI works and understanding the key differences between generative AI and traditional AI approaches
Gaining hands-on experience through practical labs and demonstrations using AWS generative AI services, including Amazon Bedrock, Amazon Nova, and Amazon Bedrock AgentCore
Learning how organisations can use generative AI to improve business processes, enhance productivity, and solve real-world challenges across a range of industries
Understanding the principles of responsible AI and how to build AI systems that are fair, transparent, safe, and accountable
Reviewing security, governance, and implementation considerations, including data privacy, risk management, and responsible deployment practices
Exploring project planning approaches and evaluating how generative AI solutions can be successfully introduced within your organisation
Curriculum
The course consists of several modules, demos, and labs:
- â
Module 1: Responsible AI Foundations
- âModule 3: Multi-Modal AI and use cases
- âModule 5: Implementing responsible AI with Amazon Bedrock Guardrails, including Lab 2, Implementing Responsible AI Principles with Amazon Bedrock Guardrails
Module 6: Introduction to Amazon Agents
Prerequisites
No prior AI or generative AI knowledge is required to attend this course.
This course builds your understanding progressively, starting with foundational concepts and advancing through implementation, agentic AI capabilities, security considerations, and project planning.
Exam info
This course does not have an exam.
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Sorry, there are currently no dates available for this course. Please submit an enquiry and one of our team will contact you about potential future dates or alternative options.
FAQs
This training course is intended for anyone wanting to understand generative AI concepts and AWS services without needing deep coding skills:
Business Leaders and Executives who need to evaluate AI project value, costs, and organisational strategy
Product and Project Managers seeking to map out AI features, understand delivery lifecycles, and align tech with user needs
Cloud Beginners and Sales Professionals who need baseline literacy in cloud-based AI terminology and customer use cases
Non-Technical Operations Staff who need to identify process automation opportunities safely
Yes, we do provide courses suitable for beginners. However, Firebrand's courses aren't easy and it's essential that you are interested and actively pursuing a career in IT.
Traditional training providers usually run their courses from 9am to 5pm. At Firebrand Training we maximise the number of learning hours to minimise the number of training days, so youâll be back to your job as quickly as possible.
Firebrand's courses are constantly reviewed. We ask our delegates for feedback after every course. We are official partners with leading vendors and therefore, we're provided with certification changes and updates, which we can then implement in our course delivery at a very early stage. This feedback is then analysed in view of changes or discrepancies. We will then address the topics mentioned and have a panel of subject matter experts provide us with valuable suggestions for improvement and solutions.
Our award-winning Lecture | Lab | Review method focuses on what matters:
Industry professionals delivering your lectures
Labs that bring the real world into the classroom, immersing you in every practical detail.
Reviews to test â and stretch â your knowledge
Exams that come at the perfect moment â when the material is still fresh in your mind.
Our focused approach delivers results!