Role-Based Programme
RB0377

Ollama for Information Technology

Local LLM Deployment, Technical Assistance & Secure AI Workflows

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build practical capability in installing, running, managing, and evaluating locally hosted AI models with Ollama.
  • Use local LLMs to support IT troubleshooting, technical documentation, knowledge retrieval, system analysis, and support workflows.
  • Configure models and prompts for repeatable technical use cases using Modelfiles, structured outputs, embeddings, and API concepts.
  • Explore integration patterns for connecting Ollama with applications, internal knowledge sources, and approved IT tools.
  • Apply security, access control, model validation, infrastructure awareness, and responsible AI practices to local AI deployment.

Tools covered

OllamaLocal LLM RuntimeModel LibraryModel Pull & ManagementModelfilePrompt TemplatesStructured OutputsTool CallingEmbeddingsLocal Retrieval-Augmented Generation ConceptsREST APIOpenAI-Compatible API ConceptsMultimodal Model Support & Local AI Workflow Design

Who should attend

  • IT Managers
  • System Administrators
  • Infrastructure Engineers
  • Cloud Engineers
  • Application Support Professionals
  • Technical Support Engineers
  • Service Desk Professionals
  • DevOps Engineers
  • Platform Engineers
  • IT Automation Professionals
  • Technology Consultants
  • IT Analysts
  • AI Infrastructure Professionals
  • IT Operations Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of operating systems, applications, and IT infrastructure
  • Familiarity with command-line tools is helpful
  • Basic knowledge of generative AI and large language models is beneficial
  • Basic understanding of APIs and application integration concepts is helpful
  • Awareness of cybersecurity, credentials, and access-control practices
  • No advanced AI or machine-learning expertise required
  • No previous Ollama training required

TOC Modules

Concepts
  • Understanding Ollama as a local runtime for downloading, running, and managing language models
  • Understanding local versus cloud-hosted AI across privacy, latency, cost, connectivity, and control
  • Understanding model size, hardware requirements, context, and performance considerations
  • Identifying IT use cases across support, administration, documentation, and technical analysis
Practical activities
  • Exploring the Ollama environment and model library
  • Pulling and running a suitable local model
  • Testing basic technical queries
  • Mapping IT Requirement → Model → Local Runtime → Technical Output

Scenarios

Internal IT Knowledge to Local Support Assistant

Approved Runbooks & Technical Documents → Local Retrieval → Ollama Model → Employee / Engineer Question → Grounded Response → Technical Validation → Knowledge Improvement

Participants design a privacy-conscious local IT knowledge workflow that helps teams retrieve troubleshooting and operational guidance while keeping approved documentation authoritative.

Technical Incident to Structured Resolution

System Error → Logs & Environment Details → Ollama-Assisted Analysis → Diagnostic Hypotheses → Troubleshooting Steps → Engineer Validation → Resolution → Updated Runbook

Participants use Ollama to accelerate technical investigation and documentation while ensuring production changes, root-cause confirmation, and final technical decisions remain with qualified IT professionals.

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