Module 01:
Generative AI Foundations for IT Professionals
- Generative AI and LLM fundamentals
- LLMs vs traditional automation
- AI assistants vs AI agents
- Prompt engineering fundamentals
- Context, instructions and constraints
- Hallucinations and validation
- Groundedness and source verification
- AI security and confidential-data considerations
- Selecting the right AI tool for an IT task
Module 02:
Claude & Claude Code
- Claude interface and capabilities
- Projects and contextual instructions
- Document analysis
- Prompt engineering with Claude
- Technical research and analysis
- Claude for coding
- Claude Code fundamentals
- Codebase analysis
- Debugging and refactoring
- Test generation
- Git-assisted development
- AI-assisted code review
Module 03:
Microsoft Copilot
- Microsoft Copilot ecosystem
- Copilot for IT professionals
- Microsoft 365 Copilot
- Copilot Chat
- Working with organizational content
- Prompting Copilot
- Copilot for Word, Excel and PowerPoint
- Copilot for Teams
- Copilot for technical documentation
- Copilot for IT administration
Module 04:
ChatGPT & Perplexity for IT Professionals
- Prompt engineering
- Technical problem solving
- Code generation
- SQL and scripting
- Data analysis
- Documentation
- Architecture discussions
- IT project planning
- Troubleshooting workflows
- Perplexity
- AI-powered research
- Web research methodology
- Source validation
- Technical comparison
- Current technology research
- Competitive/vendor research
- Creating evidence-based technical reports
Module 05:
Cursor & AI-Assisted Software Engineering
- Cursor environment
- AI-assisted coding
- Codebase understanding
- Code generation
- Refactoring
- Debugging
- Test generation
- Documentation generation
- Git integration
- AI-assisted pull requests
- Secure coding with AI
- Human review of AI-generated code
Module 06:
RAG: Retrieval-Augmented Generation
- What is RAG?
- RAG vs traditional LLM
- RAG architecture
- Documents and knowledge sources
- Chunking
- Embeddings
- Vector databases
- Vector search
- Semantic search
- Hybrid search
- Retrieval and reranking
- Prompt augmentation
- Citations and grounding
- RAG evaluation
- Security and permissions
- RAG failure scenarios
Module 07:
Octopus Deploy & AI-Assisted Deployment
- DevOps fundamentals
- CI/CD concepts
- Release management
- Octopus deployment concepts
- Projects and environments
- Deployment processes
- Variables
- Deployment targets
- Release management
- Infrastructure deployment
- Rollbacks
- Deployment approvals
- AI-assisted troubleshooting
- Deployment documentation
Module 08:
Opsera & AI-Driven DevOps
- DevOps orchestration
- CI/CD pipeline management
- Pipeline standardization
- Toolchain integration
- Jenkins/Git/Azure DevOps/GitHub concepts
- Automated testing
- Deployment automation
- DevSecOps
- Pipeline monitoring
- AI-assisted pipeline troubleshooting
- Metrics and engineering visibility
Module 09:
Opsy & Maestro: AI/DevOps Operations
- AI-assisted IT operations
- Incident management
- Operational troubleshooting
- Monitoring and alerts
- Log analysis
- Root-cause analysis
- Runbook automation
- Incident summarization
- Maestro
- Workflow orchestration
- Automation concepts
- Multi-step IT workflows
- Service integration
- Deployment/operations automation
- Event-driven automation
- Operational monitoring
Module 10:
Enterprise AI Integration & Capstone
- Selecting the right AI tool
- Claude vs ChatGPT vs Copilot
- Perplexity vs traditional search
- Cursor vs traditional development
- RAG architecture selection
- AI + DevOps integration
- AI governance
- Data privacy
- Access control
- Prompt injection
- Sensitive information
- Human-in-the-loop
- AI output validation
- Cost and usage management
- Measuring AI productivity
