Übersicht
In today’s fast-evolving software landscape, success increasingly relies on the ability to integrate AI tools strategically throughout the development lifecycle. This course teaches developers how to use generative AI to analyze, enhance, and streamline software workflows.
Building on foundational coding and AI concepts, you’ll learn to use generative AI as both a decision-making aid and a practical coding assistant. The course emphasizes real-world applications, guiding you to analyze unfamiliar code, evaluate frameworks, and create documentation with the support of AI tools.
Through hands-on experience with platforms like GitHub Copilot and ChatGPT, you’ll gain the skills to integrate AI tools into everyday development tasks. This course is designed for developers who want to improve coding practices using generative AI tools.
By the end of the course, you’ll be equipped to apply AI-powered solutions that elevate your coding practices and development processes. Enroll today to gain valuable, future-ready development insights.
Lehrplan
- Introduction to Software Development Using AI
In this module, you will be introduced to the foundational concepts of artificial intelligence (AI) and its critical role in software development. You will explore popular AI tools and learn the fundamentals of prompt engineering. Through hands-on exercises, you will gain an understanding of how AI can be integrated into the Software Development Lifecycle (SDLC). Through hands-on exercises, you will apply AI-driven approaches to real-world development tasks, building a strong foundation for advanced AI applications in later modules.
- Code Understanding and Analysis
In this module, you will explore how generative AI tools assist in reviewing, analyzing, and understanding existing codebases. You will learn techniques for using AI to navigate unfamiliar projects, summarize code structures, and analyze logic and dependencies. Through guided exercises and hands-on applications, you will develop skills to efficiently use AI tools for code comprehension and exploration.
- Code Generation Fundamentals
In this module, you will learn how to use generative AI tools for writing, optimizing, and refining code. You will explore AI-powered code generation, develop effective prompts for coding tasks, and apply AI-assisted techniques for testing and debugging. Through guided activities and real-world applications, you will gain hands-on experience integrating AI into software development workflows to improve efficiency and code quality.
- Documentation and Communication for Software Development
In this module, you will learn how generative AI tools support the creation, standardization, and optimization of software development documentation. You’ll explore how AI assists in generating technical documentation, streamlining communication between teams, and ensuring consistency across project deliverables. Through hands-on activities, you will practice using AI tools to create clear, concise, and standardized software documentation for real-world development scenarios.
- Course Quiz, Project, and Wrap-up
In this module, you will apply the knowledge and skills gained throughout the course to complete a final project. The project will simulate a real-world scenario where you will use AI tools to tackle software development challenges. You will also complete a final assessment to demonstrate your understanding of the course content. Finally, the module concludes with a reflection on your learning journey and next steps for integrating AI into your software development practice.
Unterrichtet von
Kasie Pardi and Paul Pardi
Fachgebiete
Computer Science
