Curriculum
- 8 Sections
- 57 Lessons
- 1 Day
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- Foundations of AI for IT Professionals7
- 1.1What AI actually means for IT teams (beyond hype)
- 1.2GenAI vs. ML vs. RPA: Where each technology fits in IT
- 1.3AI copilots and productivity tools
- 1.4AI in IT maturity model (Reactive → Preventive → Predictive → Autonomous IT)
- 1.5Role of IT as the AI adoption champion for the enterprise
- 1.6Quick demo: Using an AI assistant to summarize logs, tickets, and documentation
- 1.7Identify top 10 manual IT tasks that can be AI-assisted
- AI for IT Service Desk, Ticketing & Troubleshooting7
- 2.1AI for ticket triaging and routing
- 2.2Automating common L1/L2 responses
- 2.3AI-driven root cause suggestions
- 2.4Natural language search for knowledge base
- 2.5Reducing ticket noise with AI clustering & pattern detection
- 2.6Activity: Convert a real ticket into: automated response; troubleshooting steps; knowledge article
- 2.7Activity: Build an AI-powered service desk workflow
- AI for Coding, Scripting & DevOps Automation9
- 3.1Using AI for PowerShell, Python & Bash scripting
- 3.2Generating config files (YAML, JSON, Dockerfile)
- 3.3AI for code reviews & debugging
- 3.4Auto-generating CI/CD pipeline templates
- 3.5AI for infrastructure-as-code (Terraform/Ansible)
- 3.6Automating repetitive DevOps tasks
- 3.7Activity 1: Generate a script using AI (log cleanup, monitoring, backup, etc.)
- 3.8Activity 2: AI-assisted CI/CD pipeline build
- 3.9Activity 3: Debug an existing script using an AI copilot
- AI for Infrastructure, Network & Cloud Ops8
- 4.1AI for incident forecasting (CPU spikes, memory leaks, outages)
- 4.2AI anomaly detection for cloud and network logs
- 4.3Predictive maintenance for servers & network devices
- 4.4AI-based configuration verification and risk detection
- 4.5Cloud cost optimization using AI insights
- 4.6Activity 1: Diagnose infrastructure logs with an AI tool
- 4.7Activity 2: AI-generated cloud optimization recommendations
- 4.8Activity 3: Build an AI-enabled infra monitoring checklist
- AI for Cybersecurity & Threat Detection8
- 5.1AI for SOC: threat detection, log correlation, IOC analysis
- 5.2AI for vulnerability management & patch recommendations
- 5.3AI-based phishing detection & email analysis
- 5.4Using AI to generate security policies & incident reports
- 5.5Secure use of AI tools (data protection, safe prompting, boundaries)
- 5.6Activity 1: Analyze a suspicious email/log using AI
- 5.7Activity 2: Generate a risk assessment or incident report using an AI copilot
- 5.8Group Activity: Identify high-risk AI use-cases
- AI for Documentation, Communication & Knowledge Management8
- 6.1Auto-generating SOPs, release notes, technical docs
- 6.2Creating playbooks, runbooks, and troubleshooting guides
- 6.3AI for meeting summaries and project updates
- 6.4Preparing stakeholder briefs & executive summaries using AI
- 6.5Organizing knowledge bases with AI tagging
- 6.6Activity 1: Convert a technical change request → proper documentation
- 6.7Team Activity: Generate SOPs/playbooks using AI
- 6.8Group Interaction: Create an FAQ knowledge base for recurring issues
- AI Governance, Enterprise Security & Responsible Use7
- 7.1Data classification & access control for AI usage
- 7.2Prompt safety rules, boundary policies & compliance
- 7.3IT’s role in building an internal AI governance framework
- 7.4Guardrails for sensitive data, logs, credentials & customer info
- 7.5Defining best practices for org-wide AI rollout
- 7.6Identifying unsafe vs safe prompt
- 7.7Activity: Create an AI Acceptable Use Policy draft for your organization; Outline a governance checklist for rollout to other functions
- IT-Led Roadmap for Scaling AI Across the Enterprise3