Overview

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Learn how to apply Generative AI across the software development lifecycle, from intelligent documentation and prompt engineering to seamless integration and ethical best practices. Master the tools and techniques that drive efficiency and innovation in modern development environments. This course delves into the practical use of Generative AI within software development, covering intelligent documentation, cloud-based frameworks, and operational best practices. Learners will develop expertise in prompt engineering, explore advanced prompting techniques, and understand how to integrate AI into planning, automation, debugging, and testing. The course also addresses the ethical and security considerations essential for responsible AI adoption, empowering learners to build robust and trustworthy AI-driven solutions. Combining real-world examples with structured learning modules, this course guides learners through the practicalities of integrating Generative AI into development workflows. Interactive quizzes and clear explanations reinforce key concepts, ensuring learners can confidently apply AI tools and ethical practices in their projects. This course is part two of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on Generative AI for Software Developers, by Saurabh Shrivastava, Kamal Arora, Ashutosh Dubey, Dhiraj Thakur and Sanjeet Sahay. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

Generative AI in Software Development
- This module explores how generative AI enhances software development through code generation, documentation, and workflow automation. Learners will gain insights into frameworks like LangChain and BentoML, as well as cloud-based platforms that streamline AI integration and deployment.
Prompt Engineering for Software Developers
- This module equips software developers with the skills to create and refine effective prompts for AI systems, covering techniques like CoT, few-shot prompting, and RAG. It explores how to integrate these prompts into the software development lifecycle, including UML diagram generation and deployment scripts. Learners will also discover tools for debugging and optimizing prompts.
Integrating Generative AI into the Software Development Cycle
- This module explores how Generative AI can be integrated into various stages of the software development lifecycle, including planning, CI/CD automation, bug detection, and test case generation. Learners will gain insights into the benefits and challenges of AI-driven development and learn how to implement these technologies effectively.
Ethical and Security Best Practices in Generative AI
- This module explores key ethical and security considerations in generative AI, including bias mitigation, data privacy, and system monitoring. Learners will gain insights into how to build responsible AI applications that maintain fairness, transparency, and security throughout their lifecycle.