Role-Based Programme
RB0376

Ollama for Information Technology

Local AI, Technical Assistance & IT Automation Foundations

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how Ollama enables IT teams to run and work with different AI models for technical and operational use cases.
  • Recognise where local versus cloud model execution may fit organisational requirements for privacy, infrastructure control, performance, and capability.
  • Explore AI-assisted technical research, troubleshooting, documentation, knowledge retrieval, and operational support.
  • Experience foundational Ollama capabilities including model execution, APIs, embeddings, structured outputs, vision, and tool calling.
  • Identify security, access-control, validation, infrastructure, and human-approval requirements for responsible enterprise use.

Tools covered

OllamaOllama CLIOllama Model LibraryLocal ModelsOllama Cloud ModelsOllama APIStructured OutputsEmbeddingsTool CallingVision-Capable Models

Who should attend

  • IT Managers
  • System Administrators
  • Infrastructure Professionals
  • Application Support Professionals
  • Service Desk Professionals
  • IT Operations Professionals
  • Cloud Engineers
  • DevOps Professionals
  • Software Developers
  • Technical Support Engineers
  • IT Analysts
  • Information Technology Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of IT operations, applications, infrastructure, or technical support
  • Basic familiarity with generative AI is helpful but not mandatory
  • Familiarity with command-line environments is helpful for demonstrations
  • No advanced programming expertise required
  • No previous Ollama experience required
  • Suitable compute resources may be required depending on the locally selected model

TOC Modules

Concepts
  • Understanding Ollama as an environment for running and interacting with AI models
  • Exploring model categories including chat, coding, reasoning, vision, and embeddings
  • Understanding local model execution versus larger models available through Ollama Cloud
  • Mapping AI opportunities across Support → Research → Analyse → Document → Automate
Practical activities
  • Exploring the Ollama environment and model catalogue
  • Running a selected model with a basic IT prompt
  • Comparing suitable AI use cases across different model capabilities

Scenarios

IT Incident to Troubleshooting Support

Incident Description + Technical Evidence → Ollama Model → Structured Analysis → Possible Causes → Troubleshooting Checklist → Engineer Validation → Resolution → Knowledge Note

Participants use Ollama to organise incident information, generate investigation paths, and prepare technical documentation while keeping diagnosis and remediation decisions with qualified IT personnel.

Technical Knowledge to Internal IT Assistant

Approved SOPs / Runbooks → Embeddings → Knowledge Retrieval → Ollama Model → IT Question → Context-Grounded Response → Technical Validation

Participants explore how locally accessible models and embeddings can support an internal technical knowledge assistant based on approved organisational documentation.

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