Prompt Engineering Mastery with Ollama Training Course

This instructor-led, live training in Australia (online or onsite) is targeted at advanced-level professionals looking to implement secure and efficient AI-driven workflows using Ollama.

Upon completion of this training, participants will be able to:

• Deploy and configure Ollama for private AI processing.
• Integrate AI models into secure enterprise workflows.
• Optimise AI performance while maintaining data privacy.
• Automate business processes with on-premise AI capabilities.
• Ensure compliance with enterprise security and governance policies.

This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level professionals who wish to deploy, optimise, and integrate LLMs using Ollama.

By the end of this training, participants will be able to:

• Set up and deploy LLMs using Ollama.
• Optimise AI models for performance and efficiency.
• Leverage GPU acceleration for improved inference speeds.
• Integrate Ollama into workflows and applications.
• Monitor and maintain AI model performance over time.

This instructor-led, live training in Australia (online or onsite) is designed for advanced-level professionals seeking to fine-tune and customise AI models on Ollama for enhanced performance and domain-specific applications.

Upon completing this training, participants will be able to:

• Establish an efficient environment for fine-tuning AI models on Ollama.
• Prepare datasets for supervised fine-tuning and reinforcement learning.
• Optimise AI models for performance, accuracy, and efficiency.
• Deploy customised models within production environments.
• Evaluate model improvements and ensure robustness.

This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level professionals who wish to install, configure, and use Ollama for running AI models on their local machines.

By the end of this training, participants will be able to:

• Understand the fundamentals of Ollama and its capabilities.
• Set up Ollama for running local AI models.
• Deploy and interact with LLMs using Ollama.
• Optimise performance and resource usage for AI workloads.
• Explore use cases for local AI deployment in various industries.

This instructor-led live training in Australia empowers finance practitioners and IT staff with the competencies to deploy Ollama locally. Participants will learn to configure and integrate large language models into secure financial workflows, adhering to compliance and automation best practices.

This live program based in Australia empowers healthcare practitioners and IT teams to deploy Ollama for local LLM integration. Gain the skills to weave AI into clinical workflows, tailor models for precise tasks, and maintain rigorous data privacy and regulatory compliance within secure healthcare frameworks.

Ollama is an open-source utility designed for running large language models locally on both consumer-grade devices and enterprise hardware. It simplifies complex tasks such as model quantization, GPU resource allocation, and API hosting into a single command-line interface. This allows organisations to self-host LLMs like Llama, Mistral, and Qwen without transmitting prompts or sensitive data to cloud providers such as OpenAI, Anthropic, or Google.