Gemini for End-to-End SDLC: AI-Assisted Software Development

Integrating artificial intelligence into your development workflow is no longer optional—it is the key to writing better software faster. This text-based course introduces you to Gemini, showing you how to apply generative AI across the entire software development life cycle (SDLC). You will read through clear explanations and practical scenarios to understand how to collaborate with AI as an assistant that enhances your productivity. By the end of this course, you will transition from manual, time-consuming coding and testing phases to an efficient, AI-augmented workflow. You will know how to use Gemini responsibly, maintaining high standards for code quality, security, and architectural integrity throughout your projects. What you'll learn: - Understand the foundational concepts of generative AI and how Gemini integrates into modern development workflows - Write effective prompts to generate, refactor, and document clean code across multiple programming languages - Apply Gemini to accelerate testing by automatically generating unit tests and identifying edge cases - Configure Gemini to assist in architectural planning, system design, and drafting technical requirements - Analyze security vulnerabilities in your codebase and leverage AI suggestions for remediation - Implement best practices for reviewing and validating AI-generated code to ensure maintainability We begin with the core principles of AI-assisted development and prompt engineering before guiding you step-by-step through requirements gathering, coding, debugging, testing, and deployment workflows. This course is designed for beginner developers, software engineers, and technical project managers who want to modernize their workflow; no prior experience with AI tools is required. Start reading today to transform the way you plan, build, and maintain software.