Overview

The course provides a comprehensive exploration of how generative AI is reshaping software development by accelerating coding, improving debugging, and enhancing automation. It is designed for aspiring software engineers, developers, and professionals who want to integrate AI into modern development workflows to build efficient, scalable, and error-free applications. You will explore the role of large language models (LLMs) like GPT, Gemini, and LLaMA in coding tasks, software testing, and project automation. The course begins with foundational AI concepts—machine learning, deep learning, and generative models—before diving into practical applications of code generation, prompt engineering, and debugging. Hands-on labs and exercises guide you through AI-powered developer tools such as GitHub Copilot, ChatGPT, and CodeWhisperer. You will also examine advanced AI topics including embeddings, retrieval-augmented generation (RAG), and fine-tuning to customize AI models for specific development needs. Ethical considerations, human-AI collaboration, and the future of AI in engineering are also covered. By the end of this course, you will be able to: - Apply generative AI to accelerate coding, debugging, and software testing. - Use AI-powered tools like Copilot, ChatGPT, and CodeWhisperer to improve productivity. - Implement advanced AI methods such as embeddings, RAG, and fine-tuning. - Evaluate ethical, collaborative, and practical challenges of AI in software engineering. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

Syllabus

Foundations of Generative AI in Software Development

This module introduces learners to the fundamental concepts of Generative AI and its applications in software development. It covers key AI technologies, including Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning, explaining their differences and real-world use cases. Learners will explore the evolution of Generative AI, comparing it with Discriminative AI, and understand how these models contribute to tasks such as content creation, classification, and predictive analysis. Additionally, the module examines the latest AI models, such as GPT, Gemini, and Copilot, showcasing their role in software engineering. By the end of this module, learners will have a strong foundation in Generative AI, preparing them for advanced applications in coding, automation, and AI-driven software development.

AI in Software Engineering

This module explores the transformative role of AI in modern software engineering. It covers AI-powered code generation, debugging, and optimization, demonstrating how tools like GitHub Copilot, ChatGPT, and CodeWhisperer assist developers in writing efficient, maintainable, and error-free code. Learners will also delve into advanced AI concepts such as embeddings, retrieval-augmented generation (RAG), and fine-tuning, gaining insights into their applications in real-world software development. The module concludes with discussions on the future of AI in software engineering, human-AI collaboration, and the ethical considerations developers must address when integrating AI into their workflows.