Edureka
Generative AI for Software Engineers & Developers 专项课程
Edureka

Generative AI for Software Engineers & Developers 专项课程

Become an Expert in AI-powered Software Development. Acquire skills to utilize generative AI tools, platforms, and frameworks to optimize coding, streamline debugging, and boost collaborative software engineering.

Edureka

位教师:Edureka

包含在 Coursera Plus

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推荐体验

4 月 完成
在 5 小时 一周
灵活的计划
自行安排学习进度
深入学习学科知识
中级 等级

推荐体验

4 月 完成
在 5 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Gain expertise in using generative AI tools like GitHub Copilot, Tabnine, and Amazon Q to improve coding efficiency and quality.

  • Master prompt engineering and AI-driven workflows to create intelligent, scalable applications with Gemini and Vertex AI.

  • Develop hands-on skills with AI tools like Cursor AI, CodeSee, and Snyk for code navigation, debugging, and optimization.

  • Understand ethical practices and strategies for secure, efficient, and collaborative AI-powered software development.

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授课语言:英语(English)
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August 2025

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  • 通过 Edureka 获得职业证书

专业化 - 4门课程系列

Getting Started with Generative AI

Getting Started with Generative AI

第 1 门课程18小时

您将学到什么

  • Define generative AI principles and apply data preparation, vectorization, and model-building techniques.

  • Analyze and compare models like GANs, VAEs, transformers, and LLMs for practical applications.

  • Design effective prompts using few-shot, zero-shot, and chain-of-thought techniques for AI models.

  • Optimize and deploy generative AI models using fine-tuning, PEFT, and LLMOps strategies.

您将获得的技能

类别:Generative AI
类别:Generative Model Architectures
类别:Prompt Engineering
类别:Large Language Modeling
类别:Responsible AI
类别:Natural Language Processing
类别:Data Cleansing
类别:Data Processing
类别:AI Personalization
类别:Open Source Technology
类别:Deep Learning
类别:Feature Engineering
类别:OpenAI
类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:Database Systems
类别:Data Visualization
类别:Application Deployment
类别:Machine Learning

您将学到什么

  • Explain Gemini’s multimodal architecture and use AI Studio/APIs for text, vision, and code.

  • Use Gemini APIs and Google AI Studio to explore code generation, document analysis, and multimodal capabilities.

  • Explore Vertex AI foundations, model tuning, and deployment strategies conceptually, with practical demos focused on Gemini.

您将获得的技能

类别:Google Gemini
类别:Multimodal Prompts
类别:Generative AI
类别:Prompt Engineering
类别:Application Programming Interface (API)
类别:Artificial Intelligence
类别:Generative AI Agents
类别:Application Deployment
类别:Performance Tuning
类别:Python Programming
类别:Google Cloud Platform
类别:Software Development Tools
类别:Responsible AI
类别:Cloud Platforms
类别:AI Personalization
类别:LLM Application
类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:Large Language Modeling

您将学到什么

  • Define how AI coding tools assist in software development.

  • Construct effective prompts for accurate AI code suggestions.

  • Apply GitHub Copilot, Tabnine, and Amazon Q to generate, debug, and document code.

  • Collaborate with AI tools in both solo and team-based coding tasks.

您将获得的技能

类别:Generative AI Agents
类别:Code Review
类别:Amazon Web Services
类别:GitHub
类别:Software Development Tools
类别:Secure Coding
类别:Generative AI
类别:Software Development
类别:Software Engineering
类别:CI/CD
类别:Test Automation
类别:Software Documentation
类别:Software Technical Review
类别:DevOps
类别:Software Architecture
类别:AI Personalization
类别:Maintainability
类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:Integrated Development Environments
类别:Prompt Engineering

您将学到什么

  • Navigate and explore codebases using AI tools like Cursor AI, CodeSee, and Sourcegraph efficiently.

  • Improve code quality with automated reviews, static analysis, and bug detection via AI-powered tools.

  • Generate, refactor, and debug code quickly using AI assistants like Codeium, Refact AI, and Cody AI.

  • Enhance security, optimize performance, and boost collaboration with AI-driven development practices.

您将获得的技能

类别:Code Review
类别:Performance Tuning
类别:Debugging
类别:Software Development Life Cycle
类别:Generative AI
类别:Collaborative Software
类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:Analysis
类别:AI Personalization
类别:Software Visualization
类别:Software Technical Review
类别:Prompt Engineering
类别:Artificial Intelligence
类别:Software Engineering
类别:Software Development Tools
类别:DevSecOps
类别:Application Security
类别:Integrated Development Environments
类别:Automation
类别:Software Development

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位教师

Edureka
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