Build practical generative AI solutions for modern development
Generative AI is rapidly changing how software is designed, tested, and delivered. From code assistants like GitHub Copilot, to AI-driven testing tools, to image and text models powering creative apps, GenAI is already shaping the developer’s toolkit.
This online course from Amazon Web Services gives you the practical skills to design, integrate, and deploy GenAI with confidence.
You’ll progress step by step: starting with the foundations, moving into project planning, and finishing with prompt engineering and deployment at scale.
Understand the foundations of generative AI
You’ll begin this course by unpacking the core principles behind generative models. Learn how they generate text, code, and images, and compare GenAI with traditional machine learning.
Explore today’s most relevant tools and frameworks, and see how developers are already using AI to accelerate workflows and spark innovation.
Plan and build effective GenAI projects
You’ll then learn how to take AI projects from concept to deployment. You’ll scope applications, set clear requirements, and integrate GenAI into the software lifecycle, from data sourcing to testing.
Hands-on work with modern development environments will help you connect GenAI models to your own codebase, while addressing ethical and security considerations.
Master prompt engineering and deployment
You’ll develop advanced prompt engineering skills, from writing and refining prompts to implementing guardrails for safe and reliable outputs.
Plus, you’ll practise using GenAI for debugging, code review, and automated testing, before finally deploying secure, scalable GenAI applications in enterprise and cloud environments.
By the end of the course, you’ll be equipped to apply generative AI to real-world development challenges.
This course is ideal for software and DevOps engineers, technical leads, and application developers who want to confidently build, integrate, and optimise generative AI in real-world projects.
