technifyed

Edureka via Coursera

Generative AI Automation Tools and Applications

Overview

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.

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • Self-paced: start any time.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Edureka is in Tier 4: commercial training companies and platform-made courses of our institution ranking (56/100).

Similar courses

Compare these

Massachusetts Institute of Technology · YouTube

MIT 6.01SC Introduction to EECS I

Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…

Free video27 videos, 17 hours

Stanford University · YouTube

CS329A Self-Improving AI Agents

This playlist contains video recordings of Stanford's graduate-level CS329A course. It covers the latest techniques and applications of AI agents that can continuously improve themselves through interaction with themselves and the environment. The lecture recordings start with self-improvement tech…

Free video9 videos, 11 hours

Harvard University · YouTube

Large Language Models and The End of Programming - CS50 Tech Talk with Dr. Matt Welsh

The field of Computer Science is headed for a major upheaval with the rise of large AI models, such as ChatGPT, that are capable of performing general-purpose reasoning and problem solving. We are headed for a future in which it will no longer be necessary to write computer programs. Rather, I beli…

Free video1 hour

Harvard University · edX

Justice

4.8354 ratings

This introduction to moral and political philosophy is one of the most popular courses taught at Harvard College.

Free to audit

Massachusetts Institute of Technology · YouTube

MIT 14.01SC Principles of Microeconomics

Instructor: Jon Gruber, 14.01 students View the complete course: http://ocw.mit.edu/14-01SCF10 This course includes a full set of lecture videos and a selection of problem solving videos. In the lecture videos, Professor Jonathan Gruber covers the principles of microeconomics conceptually, mathemat…

Free video38 videos, 23 hours

Yale University · YouTube

Fundamentals of Physics with Ramamurti Shankar

This course provides a thorough introduction to the principles and methods of physics for students who have good preparation in physics and mathematics. Emphasis is placed on problem solving and quantitative reasoning. This course covers Newtonian mechanics, special relativity, gravitation, thermod…

Free video24 videos, 29 hours

Enter your email and the official page opens. Phone is optional.