
AI for IT Professionals Courseware (TOS-AIIT)
This comprehensive 5-day course is designed to transform participants into AI-empowered practitioners capable of leveraging cutting-edge AI tools to automate workflows, enhance productivity, and solve complex technical challenges. It establishes the core skill of prompt engineering, encompasses n8n workflow automation, introduces Claude Code for AI-assisted development, and gives foundational information on BMAD (Breakthrough Method for Agile AI-Driven Development), a structured spec-driven framework. It culminates in an integration workshop where teams architect and build a real-world solution. By the end of the course, participants will be able to design, build, and govern AI-enhanced IT systems.
Benefits
- Learn practical AI skills that immediately improve IT productivity and efficiency.
- Master prompt engineering techniques for consistent, high-quality AI outputs.
- Build automated business and IT workflows using n8n.
- Learn to develop software faster using Claude Code AI-assisted development.
- Understand the BMAD methodology for structured AI-driven software development.
- Integrate multiple AI technologies into enterprise-ready solutions.
- Improve troubleshooting, documentation, and technical writing through AI.
- Develop production-ready AI workflows using security and governance best practices.
- Reduce repetitive IT tasks through intelligent automation.
- Build confidence implementing AI solutions in real-world enterprise environments.
- Create reusable prompt libraries, workflow templates, and development standards.
- Complete an end-to-end AI implementation project applicable to the workplace.
Teaching This Course
The publisher has provided details here on how to teach this AI for IT Professionals course.
Outline
- Day 1 – Mastering AI Prompting Techniques
- Foundations of Effective AI Communication
- Advanced Prompting Strategies
- Specialized IT Prompting Techniques
- Prompt Engineering Workshop
- Day 2 – n8n Workflow Automation
- n8n Fundamentals and Architecture
- Building AI-Enhanced Workflows
- Advanced n8n Integrations
- Production-Ready n8n Deployments
- Day 3 – Claude Code: AI-Powered Development
- Introduction to Claude Code
- Effective Code Generation Strategies
- Advanced Claude Code Techniques
- Claude Code in Team Environments
- Day 4 – BMAD (Breakthrough Method for Agile AI-Driven Development)
- BMAD Framework Fundamentals
- Building AI Solutions with BMAD
- Measurement and Adaptation Strategies
- Deployment and Scaling Excellence
- Day 5 – Integration Workshop
- Project Planning and Architecture
- Hands-on Implementation Sprint
- Testing, Optimization, and Documentation
- Final Presentations and Future Roadmap
Required Prerequisites
- Working knowledge of Windows, Linux, or macOS.
- Basic programming experience in at least one language.
- Experience using command-line interfaces.
- General understanding of networking fundamentals.
- Experience with IT administration, DevOps, software development, or systems engineering.
- Ability to install software and manage local development environments.
- Active AI service accounts, such as Claude, OpenAI, or an equivalent service, when using personal environments.
- A laptop or computer capable of running modern development tools and browsers.
Useful Prerequisites
- Experience using Git and GitHub.
- Familiarity with Docker containers.
- Knowledge of JSON and YAML.
- Experience with PowerShell, Bash, or Python scripting.
- Basic cloud computing knowledge, including Azure, AWS, or Google Cloud.
- Familiarity with Agile or Scrum methodologies.
- Experience using ticketing systems such as Jira or ServiceNow.
- Basic database knowledge, including SQL or NoSQL.
- Previous exposure to workflow automation tools.
- Understanding of CI/CD pipelines.
License
LicenseRequest More InformationDownload Sample CopyRequest Trainer Evaluation CopyWhat is Included?
- Student Manual
- Extra Trainer Files
- PowerPoint Presentation
*Labs must be purchased from the lab provider.
