中Get ready to power up your resume with the GenAI development skills employers need. During this course you’ll explore core prompt engineering strategies—like in-context learning and chain-of-thought—and create and manage robust prompt templates. Plus, you’ll follow best practices to handle common errors and experiment with different LLMs and configurations to strengthen your outputs.
Develop Generative AI Applications: Get Started
您将学到什么
Master the basics of GenAI and the LangChain framework, focusing on how prompt engineering and in-context learning to enhance AI interactions
Apply prompt templates, chains, and agents to create flexible and context-aware AI applications using LangChain's modular approach
Develop a GenAI web application with Flask, integrating advanced features such as JSON output parsing for structured AI responses
Evaluate and compare different language models to select the most suitable for specific use cases, ensuring optimal performance and reliability
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最近已更新！
May 2025
作业
7 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
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在注册此课程时，您还需要选择一个特定的合作项目。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有3个模块
This module introduces the basics of generative AI and provides an overview of the most common tools, frameworks, and models used in AI development. You'll learn fundamental prompt engineering principles that help maximize AI model capabilities through thoughtful input design. Special emphasis is placed on the LangChain framework—its features, benefits, and role in designing and writing AI applications. The module covers practical techniques for creating reusable prompt templates that improve consistency, implementing in-context learning strategies, and optimizing AI responses through iterative prompt refinement.
涵盖的内容
9个视频3篇阅读材料3个作业1个应用程序项目1个讨论话题4个插件
In this module, you will explore LangChain and its advanced features to build generative AI applications. You’ll learn about each core component of LangChain, how to incorporate them to create complex workflows and introduce generative AI into your applications.
涵盖的内容
3个视频1篇阅读材料2个作业1个应用程序项目2个插件
In this module, you’ll build a Flask web app that uses the power of generative AI using LangChain. You’ll learn how to integrate AI into your application, leverage LangChain’s JsonOutputParser to produce structured outputs, and fine-tune prompt engineering to generate actionable JSON responses. Along the way, you’ll compare and evaluate different language models—including Llama 3, Granite, and Mixtral—to discover which best suits your needs.
涵盖的内容
4个视频3篇阅读材料2个作业1个应用程序项目4个插件
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
提供方
从 Software Development 浏览更多内容
状态：免费试用
状态：免费试用
Google Cloud
状态：预览
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
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自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'
Chaitanya A.
''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'
学生评论
4.6
225 条评论
- 5 stars
72.36%
- 4 stars
18.42%
- 3 stars
4.82%
- 2 stars
3.07%
- 1 star
1.31%
显示 3/225 个
MS
4
已于 Jul 9, 2025审阅
Videos can be more intuitive for better engaging focus
SS
5
已于 Aug 25, 2025审阅
Step by Step introduction to concepts with Lab Guide and Summarized Notes and Cheet Sheets to revise the concepts.
RB
5
已于 Sep 18, 2025审阅
Very detailed, very well explained, some courses are very high levels some more basic, lab to practice
常见问题
Skills in building generative AI applications are in demand for roles like AI developer, machine learning engineer, prompt engineer, and full-stack developer with AI experience.
Not necessarily. If you’re a Python developer, you can start building with generative AI using tools like LangChain, Flask, and Gradio—no advanced ML background required.
Generative AI apps require prompt engineering and LLM integration, but you’ll still use familiar web frameworks and developer tools to build and deploy them.
更多问题
提供助学金，