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Course Outline

Introduction to AI and Its Role in IT Support

  • Key AI concepts: machine learning, NLP, and generative AI.
  • How AI transforms technical support workflows.
  • Overview of popular AI platforms for IT teams.

Prompt Engineering for Support Scenarios

  • Writing effective prompts for support ticket responses.
  • Structuring prompts for consistent and accurate AI outputs.
  • Iterative refinement of AI-generated answers.

AI-Powered Ticket Automation and Incident Management

  • Using AI to classify and prioritize incoming tickets.
  • Automating routine response drafting with LLMs.
  • Integrating AI with ticketing systems and workflows.

Automated Generation of Technical Documentation

  • Converting troubleshooting notes into structured documentation.
  • Generating step-by-step guides and solution articles with AI.
  • Maintaining and updating knowledge base entries efficiently.

Building Internal Knowledge Bases with AI

  • Organizing support content into searchable knowledge bases.
  • Using AI to surface relevant articles during ticket resolution.
  • Versioning and governance of AI-generated documentation.

Internal Virtual Assistants and Chatbots for IT Support

  • Designing chatbot conversation flows for common IT issues.
  • Building and testing a support chatbot without coding.
  • Deploying chatbots for employee self-service and FAQ handling.

Predictive Analytics for Fault Detection and Prevention

  • Identifying patterns in historical incident data.
  • Using AI to detect early warning signs of system failures.
  • Setting up automated alerts and proactive maintenance triggers.

Information Security and Responsible AI Use

  • Data privacy considerations when using AI in support.
  • Preventing data leakage and securing AI tool configurations.
  • Ethical guidelines and organizational AI usage policies.

Measuring Impact and Continuous Improvement

  • Metrics for AI-driven support: resolution time and CSAT.
  • Gathering feedback to refine AI responses and documentation.
  • Building a roadmap for scaling AI across IT operations.

Capstone Project: End-to-End AI Support Workflow

  • Designing an AI-assisted support pipeline for a real scenario.
  • Building documentation and chatbot components.
  • Presenting the solution and receiving peer feedback.

Requirements

  • A foundational understanding of IT support workflows and ticketing systems.
  • Familiarity with common office and productivity software.
  • No prior experience in AI or programming is required.

Target Audience

  • IT support technicians and help desk staff.
  • Systems administrators and network monitoring personnel.
  • Technology team members responsible for user support and troubleshooting.
  • IT professionals aiming to integrate AI into their daily support workflows.
 16 Hours

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