Overview
Comprising a half-day, participants will delve into the fundamental concepts of generative AI, explore its potential business value, and identify real-world use cases applicable across various industries. The course emphasizes the importance of managing people, process, and technology changes to ensure successful and responsible implementation of generative AI. Whether you’re exploring generative AI for the first time or looking to enhance your existing knowledge, you’ll discover how generative AI can unlock unprecedented levels of efficiency, creativity, and innovation from content creation and customer service to product development and strategic decision-making.
Prerequisites
There are no specific prerequisites for this course beyond an interest in understand the capabilities of AWS GenAI tools.
Target Audience
This course is designed for:
- Executives, senior management and decision makers
Learning objectives
By the end of this course, learners will be able to:
- Understand foundational concepts of AI and generative AI, including key terminology and real-world applications.
- Analyze strategic implementations of generative AI through case studies, with a focus on best practices and lessons learned.
- Apply responsible AI principles to ensure ethical, safe, and secure use of generative AI in organizational contexts.
- Develop strategic leadership skills to guide the adoption of generative AI, aligning people, processes, and technology.
- Identify actionable next steps to begin or advance your generative AI journey with clarity and confidence.
Course Outline
Module 1: Introducing Generative AI
We will start by laying the foundation with key terms and definitions related to AI and generative AI. You will explore the capabilities of this exciting technology and delve into a compelling case study to understand its real-world applications.
Module 2: Learning from Generative AI Case Studies
Next, you will dive deep into technology strategies through a customer review case study and explore how different approaches can be applied across Amazon case studies. We will spotlight the key takeaways and best practices from these implementations.
Module 3: Practicing Generative AI Responsibly
We take responsible AI practices seriously. In this module, we will define what responsible AI means and discuss how to generate safe and expected outputs while protecting your data. This enables you to adopt generative AI in your organization ethically and securely.
Module 4: Leading Generative AI Strategically
In this module, you will learn how to prepare your organization for the successful adoption of generative AI. This includes understanding the people, processes, and technology required, as well as exploring strategic use cases to drive competitive advantage.
Module 5: Course Wrap-Up
Finally, we will summarize the key takeaways and next steps to continue your generative AI journey. You will leave the course with a clear understanding of the specific actions you can take to get started.
Exams and Assessments
There are no exams or certifications associated with this course.
Hands-On Learning
- This course is a mixture of presentations, discussion and demonstration.
Frequently asked questions
How can I create an account on myQA.com?
There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.
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If you have the booking number you can also go here and select the "I have a booking number" option. Enter the booking reference and your surname. If the details match, you will be taken to the "Create account" page from where you can enter your details and confirm your account.
Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.
How do QA’s virtual classroom courses work?
Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.
We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.
How do QA’s online courses work?
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.
When will I receive my joining instructions?
Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.
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.