This executive-level generative AI course from AWS provides a strategic and practical overview of how generative AI is used in modern organizations. It is designed for business leaders, decision-makers, and professionals who want to understand AI without deep technical complexity.
The course starts by comparing machine learning, deep learning, and generative AI, helping learners understand where each technology fits in the AI ecosystem. It then introduces foundation models, prompts, and prompt engineering, explaining how modern AI systems like Large Language Models (LLMs) are controlled and customized.
You will also learn key technical concepts such as tokens, embeddings, vectors, and transformers in a simplified way, focusing on how they impact business applications rather than deep engineering details.
The course explains how to choose the right foundation model and how organizations can use their own data to improve AI performance. This is especially important for companies aiming to build customized AI solutions.
In the second section, the course focuses on AWS services for generative AI, including Amazon SageMaker, Amazon Bedrock, and Amazon Q. It helps learners understand which tool to choose depending on different business needs.
Finally, real-world case studies show how generative AI can improve customer experiences, such as enhancing customer reviews and automating insights.
By the end of this course, executives will have a clear understanding of how generative AI works and how to apply it strategically in business environments.
