The courses are a deliberate progression. Course 1 gives you the OpenAI API fundamentals and prompt engineering skills to build your first AI applications. Course 2 extends those skills into vision AI, production API capabilities, and AWS foundations. Course 3 deploys everything at enterprise scale on AWS — adding RAG, AI agents, and responsible AI governance. The capstone project in Course 3 integrates skills from all three courses into a single production-ready deliverable.

Responsible AI is the practice of designing, building, and deploying AI systems that are ethical, fair, transparent, and compliant with regulatory requirements. An entire module in Course 3 is dedicated to it — covering bias mitigation, dataset curation, explainability, legal risks in generative AI, and human-centered design using AWS tools. The capstone project also requires you to document and implement a responsible AI governance layer, making this a hands-on, portfolio-demonstrable competency — not just a theoretical one.

Retrieval-Augmented Generation (RAG) is a technique that grounds an AI model's responses in a specific, up-to-date knowledge base by retrieving relevant content from a vector database before generating a response. This solves one of the most significant limitations of out-of-the-box LLMs — their inability to access current or domain-specific information. RAG is now a standard architecture pattern for enterprise AI applications, and this Specialization teaches you to implement it from scratch on AWS using Amazon Bedrock.

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.