GenAI for Professionals: 10x Your Productivity Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This course is designed for IT professionals seeking to leverage Generative AI to dramatically improve productivity in everyday tasks. Through practical, real-world applications, you'll learn how to use tools like ChatGPT and Microsoft Copilot to automate workflows, streamline support, and enhance documentation. The course spans approximately 5 hours of content, structured into six focused modules that build from foundational concepts to advanced applications. No prior AI experience is required—just a basic understanding of IT operations. By the end, you'll be equipped to apply GenAI tools across support, scripting, DevOps, and reporting workflows.

Module 1: Introduction to Generative AI in IT

Estimated time: 0.5 hours

  • What is Generative AI and how it differs from traditional AI
  • Relevance of GenAI in modern IT operations
  • Overview of key tools: ChatGPT, Microsoft Copilot, and others
  • Use cases for IT admins, helpdesk, and DevOps teams

Module 2: IT Support & Ticket Resolution with ChatGPT

Estimated time: 0.75 hours

  • Using GenAI to interpret and respond to IT support tickets
  • Generating concise ticket summaries and resolution steps
  • Automating knowledge base article creation
  • Improving response times with AI-assisted troubleshooting

Module 3: GenAI for IT Scripting & Automation

Estimated time: 1 hour

  • Generating PowerShell, Bash, and Python scripts using LLMs
  • Validating and adapting AI-generated scripts for production use
  • Automating configuration management and system checks
  • Real-world examples: log parsing, user provisioning, and backups

Module 4: DevOps Efficiency with GenAI

Estimated time: 1 hour

  • Enhancing CI/CD pipelines using AI-generated code suggestions
  • Creating and debugging Dockerfiles and YAML configurations
  • Assisting Git workflows with AI-powered commit messages and PR summaries
  • Integrating Copilot into infrastructure-as-code (IaC) practices

Module 5: Reporting, Documentation & Email Writing

Estimated time: 0.75 hours

  • Summarizing system logs and incident reports with AI
  • Generating clear, professional IT status emails
  • Creating standard operating procedures (SOPs) using GenAI
  • Improving clarity and consistency in technical documentation

Module 6: Responsible AI Use in IT Workflows

Estimated time: 0.5 hours

  • Understanding ethical considerations in AI adoption
  • Ensuring data privacy and avoiding sensitive data leaks
  • Recognizing limitations and risks of AI-generated outputs
  • Establishing governance for safe and effective AI use in IT

Prerequisites

  • Familiarity with basic IT operations and support concepts
  • Basic understanding of scripting languages (PowerShell, Bash, or Python)
  • Access to a ChatGPT or Microsoft Copilot account for demonstrations

What You'll Be Able to Do After

  • Apply GenAI tools to automate routine IT tasks and reduce manual effort
  • Resolve helpdesk tickets faster using AI-assisted troubleshooting
  • Generate and adapt scripts and configuration files using LLMs
  • Improve DevOps workflows with AI-enhanced code and documentation
  • Produce professional reports, SOPs, and communications efficiently
View Full Course Review

Course AI Assistant Beta

Hi! I can help you find the perfect online course. Ask me something like “best Python course for beginners” or “compare data science courses”.