Dive into the future of coding with the Generative AI for Software Engineers & Developers Specialization, which will empower you to harness generative AI for software development. From crafting smarter code to streamlining workflows, you’ll master cutting-edge tools and techniques to stay ahead in the tech world. Following courses are part of this specialization:
Getting Started with Generative AI: Learn autoencoders, GANs, and transformers. Master prompt engineering and fine-tuning with LoRA.
Gemini and Vertex AI: Building Intelligent Applications: Build smart apps with Gemini and Vertex AI, focusing on agents and scalable deployment.
Generative AI Coding Assistants for Developers: Boost productivity with GitHub Copilot, Tabnine, and Amazon Q for coding and CI/CD integration.
Generative AI Tools for Modern Software Engineering: Use Cursor AI, Snyk, and Qodo for code navigation, quality, and secure development.
This specialization is suitable for aspiring and practicing software engineers, developers, and tech enthusiasts eager to integrate AI into their workflows.
Basic programming knowledge and familiarity with software development concepts is required to enroll for this specialization.
Enroll now on Coursera to unlock your potential in AI-driven software engineering! Earn a shareable certificate and transform your career today.
Applied Learning Project
The Generative AI for Software Engineers & Developers Specialization features hands-on projects to apply AI-driven software development skills.
In Getting Started with Generative AI, build an AI-powered content strategy system using text vectorization and autoencoders. In Gemini and Vertex AI, create an intelligent application with Gemini API for text and vision tasks.
In Generative AI Coding Assistants for Developers, develop a BugTracker Pro app using GitHub Copilot, Tabnine, and Amazon Q for efficient coding and debugging.
In Generative AI Tools for Modern Software Engineering, design a secure code management system with Cursor AI, Snyk, and Qodo, focusing on quality and automation. These projects equip you with practical skills in AI-assisted coding, deployment, and secure development, preparing you for real-world software engineering challenges.
