AI-Powered Software Development: Automating Tasks with Python and Rust

As a software developer, writing boilerplate code, debugging errors, and drafting documentation can consume hours of your day. Generative AI tools offer a powerful way to automate these repetitive tasks, allowing you to focus on solving complex problems. In this text-only course, you will transition from manual coding workflows to an AI-assisted development model. You will understand how to integrate AI pair programming techniques, construct precise prompts for code generation, and apply these methods safely to both Python and Rust projects. What you'll learn: - Understand the core concepts of generative AI and prompt engineering tailored specifically for software development. - Write effective prompts to generate, refactor, and document Python and Rust code. - Apply AI pair programming techniques to accelerate debugging and unit testing processes. - Learn modern Python practices, including type hints and modern packaging tools like poetry, alongside AI assistance. - Implement basic MLOps concepts and automated workflows to streamline your development lifecycle. - Practice evaluating AI-generated code for security, quality, and performance standards. You will start with foundational definitions of generative AI models and prompt engineering patterns. From there, you will progress through structured text-based lessons detailing practical automation strategies, code generation examples, and workflow optimization techniques. This course is designed for beginner to intermediate developers, software engineers, and tech enthusiasts looking to modernize their workflow. No prior experience with AI tools is required, though a basic understanding of programming concepts is helpful. Start reading today to transform your software development process with the power of generative AI.