Role-Based Programme
RB0388

Ollama for Product & Service Management

Local AI Prototyping, Model Evaluation & Product Workflow Design

IMAGE REQUIRED
Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical proficiency in using Ollama to explore and prototype locally hosted AI capabilities for product and service use cases.
  • Evaluate suitable language and multimodal models based on product requirements, quality, latency, privacy, hardware, and operating constraints.
  • Translate customer problems and product requirements into AI-assisted prototypes using prompts, structured outputs, APIs, embeddings, and retrieval concepts.
  • Design reusable workflows for product discovery, feature validation, model comparison, knowledge-assisted experiences, and technical stakeholder collaboration.
  • Apply privacy, security, model licensing, evaluation, human oversight, and responsible AI principles throughout local AI product development.

Tools covered

OllamaLocal LLM RuntimeModel LibraryModel Pull & ManagementModelfileModel ParametersREST APIOpenAI-Compatible API ConceptsStructured OutputsTool CallingEmbeddingsMultimodal Model SupportLocal RAG ConceptsPrompt Templates & AI Product Prototyping

Who should attend

  • Product Managers
  • Technical Product Managers
  • AI Product Managers
  • Product Owners
  • Digital Product Managers
  • Service Managers
  • Product Strategy Professionals
  • Product Operations Professionals
  • Product Analysts
  • Innovation Managers
  • Business Analysts
  • Solution Product Managers
  • Customer Experience Professionals
  • Product & Service Management Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of product or service-management activities
  • Familiarity with product discovery, requirements, prototypes, or digital-product workflows
  • Basic understanding of generative AI and large language models is helpful
  • Basic awareness of APIs and application integration concepts is beneficial
  • Ability to collaborate with technical or engineering teams
  • No advanced programming expertise required
  • No previous Ollama training required

TOC Modules

Concepts
  • Understanding Ollama as a local environment for running and managing AI models
  • Understanding local versus cloud-hosted AI from product, privacy, cost, and operational perspectives
  • Mapping local AI capabilities across discovery, prototyping, knowledge assistance, and product experimentation
  • Differentiating model capability from complete product functionality
Practical activities
  • Exploring the Ollama environment and available models
  • Running a suitable model for a basic product-management task
  • Mapping Product Need → AI Capability → Model → Human Review → Outcome

Scenarios

Customer Feedback to Local AI Product Feature

Customer Feedback → Product Problem → Ollama Model Selection → Prompt & Structured Output → Feedback Classification Prototype → Evaluation → Product Review → Feature Decision

Participants prototype a locally hosted AI capability that converts customer feedback into structured product insights while validating model quality, privacy, and suitability before product adoption.

Product Knowledge to AI-Assisted Support Experience

Approved Product Documentation → Retrieval Design → Ollama Model → Knowledge-Grounded Prototype → User Questions → Response Evaluation → Product & Technical Review

Participants design and test a product-knowledge assistant using locally executed models while ensuring source quality, access controls, response validation, and final product decisions remain human-owned.

Related programmes

Continue with programmes from the same capability area.

Take the next step

Ready to make this programme work for your team?

Customise modules, duration and business scenarios for your team.

Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.