Start by building a strong foundation in programming and AI concepts. Then, upskill with hands-on training in GenAI tools, model development, and real-world applications through specialized courses or certifications.

Generative AI in software engineering refers to using AI models and tools to automate coding, design user interfaces, generate tests, fix vulnerabilities, and create documentation, improving speed and quality.

Anyone with a basic understanding of programming, software development, or UI/UX design can enroll. Prior experience in AI is helpful but not mandatory.

Typically, a degree in computer science, engineering, or related fields helps. Practical skills in programming, data structures, machine learning, and AI tools are essential.

You should be familiar with basic programming concepts, software development practices, and optionally, UI/UX principles. Curiosity and a willingness to explore AI applications are key.

You'll be able to automate coding, enhance UX with AI, generate test cases, fix code vulnerabilities, and document full-stack projects using GenAI tools; boosting development speed and quality.

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.