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Generative AI Automation Tools and Applications

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Generative AI Automation Tools and Applications

Instructor: Edureka

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Gain insight into a topic and learn the fundamentals.
4.1

12 reviews

Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.1

12 reviews

Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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.

Details to know

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Assessments

14 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Generative AI for Automation Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

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.

Through hands-on exercises, you’ll gain the skills to connect APIs, chain AI agents, test and debug workflows, and deploy real-world automations for business processes such as customer support, sales, and decision support. By the end of this course, you will be able to: - Explain the principles of Generative AI automation and its role in enterprise workflows - Use tools like LangChain, Flowise, n8n, Make, Zapier, Open AI, and Hugging Face for automation tasks - Build low-code workflows integrating AI models, APIs, and event triggers - Design error-tolerant, human-in-the-loop, and multi-agent automation patterns - Scale and monitor automation solutions in cloud environments with proper security and compliance - Apply best practices and understand future trends in Generative AI-driven business automation This course is ideal for automation specialists, solution architects, developers, and business professionals looking to leverage Generative AI to create scalable, intelligent, and efficient enterprise workflows. Join us to learn how Generative AI is shaping the future of enterprise automation—and how you can put it to work for your organization.

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 prompt

16 videos•Total 66 minutes
  • Specialization Introduction•5 minutes
  • Course Introduction•3 minutes
  • What is GenAI Automation and Why It Matters•3 minutes
  • Tools for Automation: LangChain, Flowise, Make•4 minutes
  • Using OpenAI, Hugging Face, APIs, and Prompt Tools for Automation•4 minutes
  • Understanding AI Agents and Open-Source Agent Frameworks•4 minutes
  • Task Delegation and Planning Using LangGraph and CrewAI•3 minutes
  • Low-Code Workflow Tools: Flowise, n8n, Make, Zapier, and Power Automate•4 minutes
  • Demonstration: No-Code Automation using ZAPIER•5 minutes
  • Demonstration: Gemini Auto-Responder for Community Questions •7 minutes
  • Visual Workflow Design with Flowise•3 minutes
  • Connecting APIs and OpenAI/Hugging Face Models•3 minutes
  • Testing and Debugging Your Workflow with Open Tools•3 minutes
  • Demonstration: Enhancing Business AI Outputs with Prompt Perfect•3 minutes
  • Demonstration: Creating and Versioning Business Prompts with Prompt Layer•5 minutes
  • Demonstration: Real-Time Tasks Alerts from Sheets to Slack using Crew AI and LangGraph•5 minutes
6 readings•Total 65 minutes
  • Course Syllabus•10 minutes
  • Automating Business Processes with Gen AI•10 minutes
  • Enhancing Business Operations with AI Agents and Low-Code Workflow Builders•15 minutes
  • Setting up Gemini API and Slack Web Hook•5 minutes
  • Building Your First AI Workflow for Automated Document Processing and Alerts•15 minutes
  • Summary of Generative AI Automation Tools•10 minutes
4 assignments•Total 48 minutes
  • Knowledge Check: Generative AI Automation Tools•30 minutes
  • Practice Quiz: Introduction to Generative AI Automation•6 minutes
  • Practice Quiz: AI Agents and Workflow Builders for Low-Code Automation•6 minutes
  • Practice Quiz: Building Your First AI Workflow•6 minutes
1 discussion prompt•Total 10 minutes
  • Introduce Yourself•10 minutes

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

9 videos•Total 42 minutes
  • Data-to-Insight Automation with AI Tools•5 minutes
  • AI-Driven Decision-Making Using Open-Source Agents•4 minutes
  • Human-in-the-Loop Workflow with AI Platforms•6 minutes
  • Demonstration: Multi-Step Chained Process Using Flowise•6 minutes
  • Running Multiple Agents in Parallel with CrewAI•5 minutes
  • Error Handling and Fail-Safe Patterns in Automation•4 minutes
  • Combining AI Tools with Event-Based Task Automation•4 minutes
  • Creating a Decision Flow with Open-Source Agents•5 minutes
  • Integrating Data Sources for Smart Automation•4 minutes
4 readings•Total 55 minutes
  • Implementing Core AI Automation Patterns for Data-to-Decision Workflows•15 minutes
  • Advanced AI Workflow Patterns for Event-Driven Automation•15 minutes
  • Practical AI-Powered Decision-Support Workflow•15 minutes
  • Summary of Automation Patterns•10 minutes
4 assignments•Total 48 minutes
  • Knowledge Check: Automation Patterns•30 minutes
  • Practice Quiz: Core Automation Patterns•6 minutes
  • Practice Quiz: Advanced Workflow Patterns with Event Triggers•6 minutes
  • Practice Quiz: Practical Decision-Support Workflow•6 minutes

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

10 videos•Total 40 minutes
  • Scaling Workflows with Cloud Services•4 minutes
  • Security and Compliance in AI Automation Tools•4 minutes
  • Monitoring, Logging, and Improving Workflow Performance•4 minutes
  • Customer Support Automation Using AI Agents•4 minutes
  • Sales and Marketing Automation with Email and Chatbot Tools•3 minutes
  • Demonstration: Creating an Email Summarizer (N8N)•6 minutes
  • Demonstration: Integrating Gmail with Make.com•5 minutes
  • Testing and Troubleshooting AI Workflows•4 minutes
  • Best Practices Open-Source GenAI Automation•3 minutes
  • Future of GenAI Automation: Trends, Marketplaces•3 minutes
4 readings•Total 55 minutes
  • Scalable and Secure AI Automation for Enterprise-Level Workflows•15 minutes
  • Free and Practical Gen AI Integrations for Business Automation•15 minutes
  • End-to-End Gen AI Automation Workflow & Best Practices•15 minutes
  • Summary of Building Scalable Automation Solutions•10 minutes
4 assignments•Total 48 minutes
  • Knowledge Check: Building Scalable Automation Solutions•30 minutes
  • Practice Quiz: Building Scalable Automation Solutions•6 minutes
  • Practice Quiz: Real-World Free Use Cases and Integration Workflows•6 minutes
  • Practice Quiz: Open-Source GenAI: Best Practices•6 minutes

What's included

1 video1 reading2 assignments1 discussion prompt

1 video•Total 2 minutes
  • Course Summary: Generative AI Automation Tools and Applications•2 minutes
1 reading•Total 20 minutes
  • Practice Project: AI-Powered Procurement Workflow Automation•20 minutes
2 assignments•Total 60 minutes
  • End Course Knowledge Check: Advanced Generative AI Automation Tools and Applications•30 minutes
  • Designing an Enterprise-Scale Generative AI Automation Blueprint•30 minutes
1 discussion prompt•Total 10 minutes
  • Describe your Learning Journey•10 minutes

Earn a career certificate

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Instructor

Edureka
203 Courses•185,724 learners

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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.

Yes, this course uses low-code tools that make automation simple to learn and apply.

Yes, it’s beginner-friendly, focusing on practical tools instead of complex coding.

Yes, AI-powered workflows can save time, reduce errors, and automate repetitive tasks.

Yes, the course shows how to link AI models, APIs, and automation platforms easily.

Yes, you’ll receive a certificate showcasing your AI automation skills.

Yes, it includes current tools and frameworks used in modern AI automation.

Yes, the course covers security and compliance for automation.

Yes, it shows how to automate routine tasks using AI-powered workflows.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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.