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URL: https://www.coursera.org/learn/genai-for-computer-support-specialists-it-support

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GenAI for Computer Support Specialists (IT Support)

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GenAI for Computer Support Specialists (IT Support)

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Gain insight into a topic and learn the fundamentals.
4.0

12 reviews

Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.0

12 reviews

Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify the capabilities of GenAI for basic IT support tasks.

  • Examine real-world applications of GenAI in IT support scenarios.

  • Deploy strategies to responsibly integrate GenAI into IT support practices.

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Assessments

1 assignmentΒΉ

AI Graded see disclaimer
Taught in English

There is 1 module in this course

This course provides an opportunity to understand and utilize Generative AI (GenAI) in problem-solving and customer interactions. Participants will learn how to automate tasks, resolve issues more quickly with AI assistance, and improve customer support with personalized service. The program covers the core functionalities and limitations of GenAI, offering practical applications for troubleshooting and support in real-world IT scenarios. Strategies for integrating GenAI into daily routines are also discussed.

Our learners include IT leaders, mid-career and senior IT support specialists, aspiring entry-level IT support specialists, and help desk professionals. IT leaders will understand how GenAI drives innovation and efficiency. Mid-career and senior specialists will enhance workflows and problem-solving with GenAI tools. Aspiring specialists will gain in-demand, future-proof skills, while help desk professionals will improve troubleshooting through AI-powered insights. Participants should be familiar with fundamental IT support concepts, troubleshooting procedures, and customer interaction protocols. Experience with programming languages or low-code platforms like Python or PowerShell is beneficial. Curiosity, an open mindset toward GenAI tools, and eagerness to experiment with GenAI are crucial. While deep technical knowledge isn't necessary, prior IT support experience will help learners understand and apply the GenAI-focused content. By the end of this course, learners will discover, apply, and consider GenAI's capabilities in IT support. Participants will identify GenAI's potential for basic IT tasks and understand its core principles and limitations. They will examine real-world applications, develop skills to integrate GenAI tools, and improve workflow efficiency and customer support. Learners will also compare risks and ethical considerations, deploy strategies for responsible integration, and reflect on how GenAI can enhance productivity and service quality.

This course provides an opportunity to understand and utilize Generative AI (GenAI) in problem-solving and customer interactions. Participants will learn how to automate tasks, resolve issues more quickly with AI assistance and improve customer support with personalized service.

What's included

6 videos5 readings1 assignment1 peer review

6 videosβ€’Total 54 minutes
  • Introduction to GenAI for Computer Support Specialistsβ€’11 minutes
  • History & Background for GenAI and Computer Support Specialists (IT Support)β€’14 minutes
  • Demo for Synthetic Dataset Creation and Troubleshoot Process Enhancement with Gretel.Ai & ChatGPTβ€’4 minutes
  • Remediating Risks and Ethical Concernsβ€’15 minutes
  • Demo for Creating a Synthetic Time-Series Logs Dataset with Gretel Ai & ChatGPTβ€’6 minutes
  • Closing Thoughts: What’s Nextβ€’3 minutes
5 readingsβ€’Total 45 minutes
  • Our Roadmap & Resources Available: How to Get Startedβ€’5 minutes
  • Glossary for GenAI and Computer Support Specialists (IT Support) β€’10 minutes
  • Demo for Creating Batch Files with Gemini β€’10 minutes
  • Demo for Implementing Sentiment Analysis with Perplexit.aiβ€’10 minutes
  • Demo for Generating Real-Time Alerts for System Anomalies with Gretel.Ai β€’10 minutes
1 assignmentβ€’Total 20 minutes
  • GenAI for Computer Support Specialists (IT Support)β€’20 minutes
1 peer reviewβ€’Total 15 minutes
  • Practice Project for IT Support Systemsβ€’15 minutes

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Frequently asked questions

In this course, using generative AI in IT support means bringing AI tools into everyday support work to help with troubleshooting, routine tasks, and user communication. The emphasis is on understanding what GenAI can and cannot do so it can be added to support practice in a practical and responsible way.

You would use it when handling routine tickets, drafting first responses, exploring likely fixes, or tailoring communication for users. The course treats GenAI as most useful when a support specialist still guides the interaction, checks the output, and adapts it to the actual issue.

It fits into the earlier and middle parts of a support workflow, when you are gathering context, considering possible solutions, and preparing a user-facing response. The course presents GenAI as an aid inside existing troubleshooting and customer-support routines, not as a replacement for the whole process.

Traditional IT support without AI assistance relies on the specialist to search, draft, and organize each step manually. Here, generative AI helps produce suggestions and responses inside that workflow, but the course stresses that human review still matters because AI output can be limited and can raise bias or data-security concerns.

A basic understanding of IT support concepts, troubleshooting procedures, and customer interaction protocols is helpful before starting. No deep AI background is required, though some familiarity with tools such as Python or PowerShell can make the examples easier to follow.

The course uses generative AI tools in a hands-on way, with a focus on chat-based assistance and support-content generation. It also touches on methods for creating example support data and reviewing AI output before using it in support work.

You practice using GenAI to automate routine support tasks, explore troubleshooting options, draft personalized replies, and create or organize support information such as FAQs. You also work through responsible-use checks around privacy, bias, transparency, and accountability so AI output fits into day-to-day support work.

Financial aid available,

ΒΉ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.