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Ollama Prompt Engineering Training

Course Acad ID: ACAD0276

Ollama Prompt Engineering Training in Singapore

This course helps participants understand how to interact effectively with open-source LLMs, control outputs, improve reasoning, and build reliable prompt workflows.

Overview

Ollama Prompt Engineering Training is a hands-on training program focused on mastering prompt design and optimization for locally hosted large language models using Ollama. This course helps participants understand how to interact effectively with open-source LLMs, control outputs, improve reasoning, and build reliable prompt workflows without relying on cloud-based or paid AI tools. The training emphasizes practical techniques for accuracy, performance, and responsible local AI usage.

Learning Outcomes

Understand Ollama and local LLM deployment basics
Design effective prompts for AI interactions
Apply prompt optimization techniques
Build AI workflows using Ollama models
Evaluate and improve AI-generated responses

Duration & Delivery Mode

14 hours

We serve:

Target Audience

• Developers and engineers
• AI enthusiasts and practitioners
• IT professionals and system administrators
• Researchers and technical consultants
• Organizations adopting local or offline LLMs

Pre-requisites

• Basic computer and system usage skills
• Familiarity with command-line or desktop applications
• No prior AI, machine learning, or prompt engineering experience required

Skillset Achieved

• Designing effective prompts for local LLMs
• Controlling output quality and consistency
• Applying advanced prompting strategies
• Optimizing prompts for reasoning and accuracy
• Using Ollama responsibly in local environments

Course Outcome

By the end of this training, participants will be able to design, test, and optimize prompts effectively for local LLMs using Ollama. Learners will gain practical skills to improve output quality, reliability, and reasoning while maintaining data privacy and responsible AI practices.

Course Outline

Introduction to Local LLMs and Ollama
• Understanding local vs cloud-based LLMs
• Overview of Ollama architecture and capabilities
• Use cases for offline and private AI deployments

Getting Started with Ollama
• Installing and running Ollama locally
• Managing models and system resources
• Interacting with LLMs through Ollama

Prompt Engineering Fundamentals
• What is prompt engineering
• Prompt structure and components
• Common prompt patterns and mistakes

Controlling Responses and Output Quality
• Instruction-based prompting
• Managing tone, format, and verbosity
• Reducing ambiguity and improving clarity

Advanced Prompting Techniques
• Context management and memory simulation
• Chain-of-thought and reasoning prompts
• Few-shot and example-driven prompting

Prompt Optimization and Performance Tuning
• Improving accuracy and relevance
• Handling hallucinations and errors
• Iterative refinement strategies

Building Reusable Prompt Workflows
• Designing prompt templates
• Standardizing prompts for repeated tasks
• Integrating prompts into local workflows

Ethics, Security, and Responsible Local AI Usage
• Data privacy advantages of local LLMs
• Risks and limitations of open-source models
• Responsible and ethical prompt design

Hands-on Prompt Engineering Practice
• Real-world prompt design scenarios
• Guided experimentation and tuning
• Participant practice with feedback

Assessment Topics

Ollama fundamentals and setup
Prompt engineering techniques
Local LLM usage and configuration
AI response evaluation and optimization
Practical prompt design exercises

Evaluation

• Participation in hands-on prompt exercises
• Prompt design and optimization assignments
• Scenario-based practical assessment

Course Materials

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification

Participants who successfully complete the training and evaluation will receive an AcadNXT Certificate of Completion in Ollama Prompt Engineering Training, validating their expertise in prompt engineering for local LLM environments.

SELECT AN UPCOMING CLASS

Fri 20th Nov 2026 – Sat 21st Nov 2026

⏱ 2 days 📍 Classroom

AcadNXT Classroom - Marina Bay, Singapore Singapore Singapore

Fri 27th Nov 2026 – Sat 28th Nov 2026