К содержимому
learnspaceYOUR NEXT CHAPTER
ПРОСТРАНСТВО ОБУЧЕНИЯ
ГлавнаяКаталог курсовМоё обучениеCoursera

Знания без границ

Учитесь у лучших университетов и компаний мира.

Открыть Coursera
Интеграция
Пространство университета
Моё пространствоСтраница курса
↵
ЯЛичный кабинетСтудент
© 2026 LearnSpaceКаждый день — возможность узнать больше.Помощь
Generative AI in Software Development · LearnSpace
Назад в каталог
courseraАнализ данных

Generative AI in Software Development

Курс от Board Infinity
Начальный≈ 4.2 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Artificial Intelligence and Machine Learning (AI/ML)GitHub CopilotGeminiEmbeddingsAI PersonalizationGenerative Model ArchitecturesSoftware Development ToolsResponsible AIRetrieval-Augmented GenerationGoogle GeminiAI Integrations

Программа курса

2 модулей · 29 учебных материалов

01Foundations of Generative AI in Software Development15 материалов

Introduction to the Course

Introduction to the CourseВидеоMeet your InstructorВидео

Introduction to Generative AI for Software Engineers

Difference between AI, ML, and Deep LearningВидеоComparing Generative AI with Discriminative AIВидео

Учитесь у экспертов

Board Infinity

Instructor

Generative AI in Software Development
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 4.2 ч

2 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Итальянский, Бразильский португальский, Корейский, Немецкий, Индонезийский, Испанский, Японский, Казахский, Венгерский

Часть программы вашего университета
Practice Quiz: Introduction to Generative AI for Software EngineersЗадание

Core Generative AI Models

Evolution and Democratization of AI: From GPT to ChatGPT 4.0ВидеоKey AI Models in Software Development (GPT, Gemini, Copilot, LLaMA)ВидеоOpenAI Models Overview (GPT, Whisper, DALL-E)ВидеоPractice Quiz: Core Generative AI ModelsЗадание

Exploring API’s and practical Demo’s

Exploring APIs: OpenAI, Gemini, Mistral and Practical UseВидеоPractical Demo - Using Mistral with Python/API-PostmanВидеоPrompt Engineering: Effective Techniques for DevelopersВидеоRead more about AI: Foundations, Innovations, and Emerging TrendsЧтениеPractice Quiz: Exploring API’s and practical Demo’sЗаданиеQuick Course Check-InPLUGIN
02AI in Software Engineering14 материалов

AI-Powered Code Generation and Debugging

Introduction to AI for Code Generation (GitHub Copilot, ChatGPT, CodeWhisperer)ВидеоWriting Efficient Code with AI AssistanceВидеоAI-Driven Debugging: Detecting and Fixing ErrorsВидеоPractice Quiz: AI-Powered Code Generation and DebuggingЗадание

Glimpse into advance Gen AI concepts

Advanced AI Concepts: Embeddings, RAG, Fine-TuningВидеоReal-World Project Implementation Using AI ModelsВидеоPractice Quiz: Glimpse into advance Gen AI conceptsЗадание

The Future of Generative AI in Software Engineering

AI and the Future of Software Engineering: Automation vs. Job CreationВидеоThe Human-AI Collaboration: Redefining the Role of DevelopersВидеоEthical Considerations in AI DevelopmentВидеоRead more about AI in Software Development: Code Generation, Debugging, Ethics, and Future TrendsЧтениеPractice Quiz: The Future of Generative AI in Software EngineeringЗаданиеGraded QuizЗадание
Course Closure - Gratitude !Видео