This course offers a practical pathway to understand how Generative AI can transform enterprise automation, streamlining workflows, enhancing decision-making, and reducing manual effort. You’ll learn to design, build, and scale AI-driven automation solutions using low-code tools, open-source frameworks, and advanced agent orchestration techniques.


Generative AI Automation Tools and Applications
本课程是 Generative AI for Automation 专项课程 的一部分

位教师:Edureka
包含在 中
您将学到什么
Learn how Generative AI can automate tasks, streamline workflows, and boost business efficiency.
Build AI-powered workflows using tools like LangChain, Flowise, and Zapier.
Design event-based and multi-agent workflows for smarter, faster task automation.
Apply best practices to deploy reliable, scalable, and future-ready AI automation solutions.
您将获得的技能
- Responsible AI
- Google Sheets
- Workflow Management
- Artificial Intelligence and Machine Learning (AI/ML)
- LLM Application
- Automation
- Prompt Engineering
- Generative AI Agents
- Scalability
- Generative AI
- Microsoft Power Automate/Flow
- No-Code Development
- Artificial Intelligence
- Cloud Computing
- Slack (Software)
- Make.com
- Application Programming Interface (API)
- Business Process Automation
- LangChain
- Tool Calling
要了解的详细信息
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
- 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4个模块
This module introduces the foundations of Generative AI automation, covering essential concepts, frameworks, and platforms. Learners will explore tools such as LangChain, Flowise, Hugging Face, OpenAI APIs, and Zapier/Make, CrewAI, LangGraph gaining hands-on experience in building simple low-code AI workflows and connecting APIs for real-world automation tasks.
涵盖的内容
16个视频6篇阅读材料4个作业1个讨论话题1个插件
This module focuses on core automation patterns used to design intelligent workflows. It covers decision-making flows, human-in-the-loop processes, error handling, event-based task triggers, and multi-agent orchestration. Learners will build and test multi-step automation pipelines, learning how to improve reliability and efficiency in AI-driven workflows.
涵盖的内容
9个视频4篇阅读材料4个作业
This module teaches how to scale AI-powered workflows using cloud platforms like Google Colab and Hugging Face Spaces. It explores real-world applications in customer support, sales, and marketing, emphasizing security, compliance, and workflow optimization. Learners will complete a hands-on, end-to-end project to apply all concepts and tools in a practical, business-focused automation solution.
涵盖的内容
10个视频4篇阅读材料4个作业
涵盖的内容
1个视频1篇阅读材料2个作业1个讨论话题1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。
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常见问题
It teaches you how to use Generative AI tools to build smart, automated workflows for businesses.
Anyone interested in automation, professionals, developers, or teams, no advanced coding needed.
Basic knowledge of APIs or online automation tools is helpful but not required.
更多问题
提供助学金,
¹ 本课程的部分作业采用 AI 评分。对于这些作业,将根据 Coursera 隐私声明使用您的数据。