The session goes beyond theory and focuses on real-world IT use cases, hands-on demonstrations, and industry-relevant tools. Participants learn how AI can improve productivity, speed up problem-solving, and support better technical decision-making across IT roles.
Who Should Attend
- IT Support Engineers, System Administrators, and DevOps Professionals.
- Software Developers and Database Administrators.
- Cloud and Infrastructure Engineers.
- Technical Leads and IT Managers.
- Any IT professional looking to use AI practically, not just theoretically.
What You Will Learn
AI Fundamentals
Participants gain a clear understanding of what AI, Machine Learning, and Generative AI actually mean in the context of IT roles. The workshop explains the difference between AI, automation, and traditional software systems. Real-world examples such as predictive scaling and anomaly detection are discussed. Common myths, risks, and limitations of using AI in production environments are also addressed.
Using AI as a Daily IT Assistant
Learn how to use AI tools for faster troubleshooting, brainstorming, and technical research. Participants are trained on how to ask the right technical questions using effective prompt engineering techniques. The session also covers how to interpret AI responses, understand assumptions, and manage risks while using AI in daily IT work.
AI for Debugging & Log Analysis
Participants learn how AI can instantly explain error messages, stack traces, and system failures. The session demonstrates techniques for analyzing large log files and identifying critical issues quickly. AI-assisted root cause analysis (RCA) is shown using real IT incident scenarios.
AI for Database & Data Work
This section covers how AI can simplify and optimize database-related tasks. Participants learn to write and optimize complex SQL queries, understand execution plans, and receive index recommendations. AI-assisted schema understanding and ERD generation are also demonstrated.
AI for Documentation & Reporting
Learn how AI can automate and improve technical documentation workflows. Participants see how to generate READMEs, SOPs, KT documents, and RCA reports directly from code and processes. The session also covers drafting professional stakeholder emails and knowledge-base articles efficiently.
AI for Productivity & Time Management
This module focuses on using AI to manage tasks, prioritize work, and reduce repetitive administrative effort. Participants learn how to generate meeting summaries, plan workflows, and improve time management using AI-powered tools.