Tool or Technology
TT0053

Ollama Unlocked

Run, Explore & Build with Local AI

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

Programme Objectives

  • Understand Ollama and the fundamentals of running open AI models locally or through supported cloud options.
  • Explore how different language and multimodal models can be selected and used for business and technical requirements.
  • Build foundational awareness of prompting, model execution, model management, and local AI workflows.
  • Experience practical use of Ollama for text generation, reasoning, summarisation, coding assistance, and visual analysis.
  • Recognise considerations around hardware requirements, model selection, security, data handling, and responsible AI usage.

Technology covered

OllamaOllama AppOllama CLIOpen ModelsLocal LLMsMultimodal ModelsOllama API

Who should attend

  • Software Developers & Engineers
  • AI & Machine Learning Professionals
  • Data Scientists & Data Engineers
  • DevOps & Platform Engineers
  • Solution & Application Architects
  • IT Infrastructure Professionals
  • Technical Leads
  • Automation Developers
  • AI Innovation & Digital Transformation Teams
  • Technical Consultants & Solution Engineers

Prerequisites & Participant Readiness

  • Basic computer and operating-system proficiency
  • Familiarity with command-line or terminal usage is helpful
  • Basic understanding of Generative AI or Large Language Models is beneficial but not mandatory
  • Programming knowledge is helpful but not required for the Awareness programme
  • Participant systems should have sufficient hardware resources for the selected local models
  • No previous Ollama experience required

TOC Modules

Concepts
  • Understanding Large Language Models and open AI models
  • Understanding Ollama and its role in running AI models on developer systems
  • Understanding local inference versus cloud-hosted AI
  • Exploring common business and development applications of locally accessible AI
  • Understanding hardware considerations including memory, model size, and performance
Practical activities
  • Exploring the Ollama environment and available model ecosystem
  • Running a first AI interaction using a selected model

Scenarios

Internal Information Processing with Local AI

Business / Technical Information → Local Ollama Model → Summarisation & Analysis → Structured Output → Human Review

Participants use a locally running model to process sample internal information and generate summaries, action points, or structured documentation while exploring when local AI can support controlled information-processing workflows.

Developer Productivity with Local AI

Development Requirement → Ollama Coding Model → Code Explanation / Generation → Developer Review → Testing → Refined Solution

Participants use an appropriate coding model through Ollama to explain existing code or generate a small solution, then validate and refine the result before technical use.

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