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.
What you'll learn
Build applications using Gemini and Vertex AI
Use GitHub Copilot, Tabnine, and Amazon Q to accelerate coding tasks
Apply prompt engineering techniques and fine-tune models with LoRA
Integrate AI coding assistants into CI/CD pipelines
Navigate and improve code quality using Cursor AI, Snyk, and Qodo
Understand autoencoders, GANs, and transformer architectures
Deploy scalable AI agents in production environments
Course objectives
Master cutting-edge generative AI tools for software development
Streamline development workflows with AI-powered coding assistants
Build intelligent applications using modern AI platforms
Implement secure and quality-focused AI-assisted development practices