GenAI for Application Development with Gemini

Modern software development is evolving rapidly, and staying ahead means learning how to leverage generative artificial intelligence effectively within your existing workflow. This course provides a clear path for developers to integrate AI tools into their daily routines to boost productivity and code quality. You will transition from traditional manual coding patterns to an AI-augmented approach, using Gemini to accelerate every stage of the development process from initial drafting to final deployment. By the end of this course, you will be able to treat AI as a collaborative partner in your technical projects. What you'll learn: - Understand foundational GenAI concepts and terminology specific to software engineering. - Master prompt engineering techniques to generate clean, functional code snippets and boilerplate. - Apply AI-assisted debugging strategies to identify and resolve complex logic errors faster. - Learn to generate comprehensive unit tests and technical documentation using Gemini. - Explore modern patterns like Retrieval-Augmented Generation (RAG) basics for building AI-powered features. - Optimize deployment and cloud infrastructure management through AI-driven recommendations. The course begins with essential definitions and core concepts before moving into practical text-based examples that demonstrate how to integrate Gemini into your coding environment. You will practice refining AI outputs to ensure security, efficiency, and adherence to industry standards. This course is designed for developers, engineers, and technical team leads who want to modernize their workflow; no prior experience with AI tools is required. Start building more efficiently by mastering AI-driven development today.