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.

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Generative AI Automation Tools and Applications
This course is part of Generative AI for Automation Specialization

Instructor: Edureka
Included with
Recommended experience
What you'll learn
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.
Skills you'll gain
- Prompt Engineering
- Generative AI
- Cloud Solutions
- Large Language Modeling
- Self Service Technologies
- Cloud Computing
- Business Process Automation
- Event-Driven Programming
- Artificial Intelligence and Machine Learning (AI/ML)
- Marketing Automation
- Slack (Software)
- Application Programming Interface (API)
- Google Sheets
- Workflow Management
- Generative AI Agents
- Automation
- Artificial Intelligence
- Decision Support Systems
- Scalability
Details to know

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August 2025
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There are 4 modules in this course
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.
What's included
16 videos6 readings4 assignments1 discussion prompt1 plugin
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.
What's included
9 videos4 readings4 assignments
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.
What's included
10 videos4 readings4 assignments
What's included
1 video1 reading2 assignments1 discussion prompt1 plugin
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Frequently asked questions
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.
More questions
Financial aid available,
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.