Prompt Engineering with Amazon Q Developer

In this course, you will learn how to craft prompts to deliver useful and accurate results when working with Amazon Q Developer. You will learn how to use some effective ways of structuring prompts with clear context, requirements and desired output formats. You will learn examples of good prompts and prompts to avoid and will also learn prompting best practices to get consistent and useful results.

• Crafting clear and specific prompts with context (e.g., including code snippets, project details, desired output format, or constraints) to guide Amazon Q Developer effectively.
• Using iterative prompting techniques (e.g., follow-up questions, refinements, role-playing, or chain-of-thought) to refine responses and achieve precise results.
• Applying prompt patterns suited to developer tasks, such as code generation, debugging assistance, explaining concepts, suggesting optimizations, or AWS service integrations.
• Evaluating and improving prompt quality based on response accuracy, completeness, and relevance, while avoiding common pitfalls like ambiguity or over-complexity.

• Understand how well-engineered prompts can significantly enhance the performance and usefulness of Amazon Q Developer in real-world coding workflows.
• Gain confidence in applying prompt engineering strategies to obtain better code suggestions, architectural advice, explanations, and troubleshooting help from the tool.
• Be prepared to integrate effective prompting habits into daily development practices, accelerating learning curves and improving overall efficiency when using Amazon Q Developer.

• 30-minute digital course content with focused explanations, prompt examples, before-and-after demonstrations, and tips tailored to Amazon Q Developer usage.
• Foundational-level training in the Developer Tools domain, ideal for developers, software engineers, and anyone using Amazon Q Developer (no deep prerequisites; basic familiarity with coding and AWS recommended).
• Practical guidance on prompt engineering fundamentals applied directly to Amazon Q Developer scenarios (e.g., IDE-integrated assistance, CLI interactions, or transformation features).
• Certificate of completion issued.