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AWS Generative AI Essentials
Code: awsgaie
What you'll learn
On 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 Generative AI Essentials course, you will explore project planning and how to discuss implementation of Generative AI in your organisation.
In just 1 day, you will learn about foundation models, large language models, and how generative systems produce new content based on training data, as well as:
- Exploring how organisations apply Generative AI to real problems such as document summarisation, knowledge search, content generation, and customer support assistants
- Reviewing AWS services commonly used when building Generative AI applications
- Discussing industry examples to help you evaluate where Generative AI is appropriate and where other approaches may be more suitable
- Understanding the security and governance challenges associated with Generative AI applications, including data privacy, safe model use, and monitoring AI behaviour.
Curriculum
12 modules- Module 1: Introducing Generative AI
- Demo: Generative AI Solution
- Module 2: Exploring Generative AI Use Cases
- Module 3: Essentials of Prompt Engineering
- Lab 1: Optimising Slogan Generation with Amazon Bedrock
- Module 4: Responsible AI Principles and Considerations
- Lab 2: Implementing Responsible AI Principles with Amazon Bedrock Guardrails
- Module 5: Security, Governance, and Compliance
- Module 6: Implementing Generative AI Projects
- Demo: Amazon Q Business
- Module 7: Integrating Generative AI into the Development Lifecycle
- Capstone: Creating a Project Plan with Generative AI
Prerequisites
This course is designed as an introductory exploration of Generative AI concepts and AWS services for learners from both technical and non-technical backgrounds.
You may benefit from having a basic familiarity with AWS cloud concepts, including the general idea of cloud services and how AWS resources are accessed through the console or APIs. However, deep technical experience is not required.
Exam info
This course does not have an exam.
Course Dates
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
4 QuestionsYes, we do provide courses suitable for beginners. However, Firebrand's accelerated 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 you’ll be back to your job as quickly as possible. You don’t waste time travelling to several courses and finding an exam centre after that.
Firebrand's accelerated 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.
If you need to learn new skills and you want to be able to put them into practice quickly, then Firebrand is the right training company for you.
Our unique accelerated training method means that we are your fastest way to learn. By delivering training for up to 12 hours per day, seven days per week, with exam centres on-site, we ensure that you are trained and certified quicker than anywhere else, having spent less time out of the office away from the day job.
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