Generative AI Automation Tools and Applications

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Generative AI Automation Tools and Applications

This course is part of Generative AI for Automation Specialization

Instructor: Edureka

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4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

9 hours to complete

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.

Skills you'll gain

Details to know

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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 prompt1 plugin

16 videosTotal 66 minutes

Specialization Introduction4 minutes
Course Introduction3 minutes
What is GenAI Automation and Why It Matters3 minutes
Tools for Automation: LangChain, Flowise, Make3 minutes
Using OpenAI, Hugging Face, APIs, and Prompt Tools for Automation3 minutes
Understanding AI Agents and Open-Source Agent Frameworks3 minutes
Task Delegation and Planning Using LangGraph and CrewAI3 minutes
Low-Code Workflow Tools: Flowise, n8n, Make, Zapier, and Power Automate4 minutes
Demonstration: No-Code Automation using ZAPIER4 minutes
Demonstration: Gemini Auto-Responder for Community Questions 7 minutes
Visual Workflow Design with Flowise3 minutes
Connecting APIs and OpenAI/Hugging Face Models2 minutes
Testing and Debugging Your Workflow with Open Tools3 minutes
Demonstration: Enhancing Business AI Outputs with Prompt Perfect3 minutes
Demonstration: Creating and Versioning Business Prompts with Prompt Layer5 minutes
Demonstration: Real-Time Tasks Alerts from Sheets to Slack using Crew AI and LangGraph5 minutes

6 readingsTotal 65 minutes

Course Syllabus10 minutes
Automating Business Processes with Gen AI10 minutes
Enhancing Business Operations with AI Agents and Low-Code Workflow Builders15 minutes
Setting up Gemini API and Slack Web Hook5 minutes
Building Your First AI Workflow for Automated Document Processing and Alerts15 minutes
Summary of Generative AI Automation Tools10 minutes

4 assignmentsTotal 48 minutes

Knowledge Check: Generative AI Automation Tools30 minutes
Practice Quiz: Introduction to Generative AI Automation6 minutes
Practice Quiz: AI Agents and Workflow Builders for Low-Code Automation6 minutes
Practice Quiz: Building Your First AI Workflow6 minutes

1 discussion promptTotal 10 minutes

Introduce Yourself10 minutes

1 pluginTotal 10 minutes

Your Gen AI Automation Readiness Check10 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 videosTotal 41 minutes

Data-to-Insight Automation with AI Tools4 minutes
AI-Driven Decision-Making Using Open-Source Agents3 minutes
Human-in-the-Loop Workflow with AI Platforms5 minutes
Demonstration: Multi-Step Chained Process Using Flowise6 minutes
Running Multiple Agents in Parallel with CrewAI4 minutes
Error Handling and Fail-Safe Patterns in Automation4 minutes
Combining AI Tools with Event-Based Task Automation3 minutes
Creating a Decision Flow with Open-Source Agents5 minutes
Integrating Data Sources for Smart Automation3 minutes

4 readingsTotal 55 minutes

Implementing Core AI Automation Patterns for Data-to-Decision Workflows15 minutes
Advanced AI Workflow Patterns for Event-Driven Automation15 minutes
Practical AI-Powered Decision-Support Workflow15 minutes
Summary of Automation Patterns10 minutes

4 assignmentsTotal 48 minutes

Knowledge Check: Automation Patterns30 minutes
Practice Quiz: Core Automation Patterns6 minutes
Practice Quiz: Advanced Workflow Patterns with Event Triggers6 minutes
Practice Quiz: Practical Decision-Support Workflow6 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 videosTotal 39 minutes

Scaling Workflows with Cloud Services3 minutes
Security and Compliance in AI Automation Tools3 minutes
Monitoring, Logging, and Improving Workflow Performance3 minutes
Customer Support Automation Using AI Agents3 minutes
Sales and Marketing Automation with Email and Chatbot Tools3 minutes
Demonstration: Creating an Email Summarizer (N8N)5 minutes
Demonstration: Integrating Gmail with Make.com5 minutes
Testing and Troubleshooting AI Workflows3 minutes
Best Practices Open-Source GenAI Automation3 minutes
Future of GenAI Automation: Trends, Marketplaces3 minutes

4 readingsTotal 55 minutes

Scalable and Secure AI Automation for Enterprise-Level Workflows15 minutes
Free and Practical Gen AI Integrations for Business Automation15 minutes
End-to-End Gen AI Automation Workflow & Best Practices15 minutes
Summary of Building Scalable Automation Solutions10 minutes

4 assignmentsTotal 48 minutes

Knowledge Check: Building Scalable Automation Solutions30 minutes
Practice Quiz: Building Scalable Automation Solutions6 minutes
Practice Quiz: Real-World Free Use Cases and Integration Workflows6 minutes
Practice Quiz: Open-Source GenAI: Best Practices6 minutes

What's included

1 video1 reading2 assignments1 discussion prompt1 plugin

1 videoTotal 2 minutes

Course Summary: Generative AI Automation Tools and Applications2 minutes

1 readingTotal 20 minutes

Practice Project: AI-Powered Procurement Workflow Automation20 minutes

2 assignmentsTotal 60 minutes

End Course Knowledge Check: Advanced Generative AI Automation Tools and Applications30 minutes
Designing an Enterprise-Scale Generative AI Automation Blueprint30 minutes

1 discussion promptTotal 10 minutes

Describe your Learning Journey10 minutes

1 pluginTotal 10 minutes

The Case of the Failing Automation Workflow: Can You Build a Smarter Generative AI System?10 minutes

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Instructor

Edureka

80 Courses93,288 learners

Offered by

Edureka

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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.

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.