
This advanced course moves beyond simple code generation to explore how AI can be integrated into the entire software development lifecycle. Rather than focusing on a specific tool, the curriculum emphasizes tool-agnostic principles and prompting strategies that remain effective regardless of which AI assistant you prefer.
Designed for experienced developers looking to master complex engineering tasks through AI, this course covers:
By the end of this course, you will be able to apply AI to high-level engineering challenges, from production code analysis to complex database query optimization.
AI coding assistants can do far more than write code. In this course, you'll learn to use them for the full spectrum of software engineering work. Starting with production code analysis and performance optimization, you'll move on to AI-assisted testing, security vulnerability detection, and dependency management. Then you'll apply AI to higher-level challenges: designing configuration-driven architectures, optimizing database schemas and queries, and building effective human-AI collaboration workflows. The course focuses on tool-agnostic principles and prompting strategies that work across any AI assistant, so the skills you gain apply no matter which tools you use.
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This course is free to enrol.
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