Cambridge

Compass House, Cambridge, united kingdom, CB24 9AD

Vision Park is within easy reach of Cambridge city centre and has the advantage of excellent links with the M11 and A14. Trains from London Kings Cross arrive every 30 minutes, with a 15 minute journey by taxi to the Park. Histon Railway Station is on the boundary of Vision Park, which provides high quality, frequent local transport from St Ives to Cambridge. Guided Bus Vision Park lies alongside the Cambridgeshire Guided Bus which offers fast and frequent buses from Histon to Huntingdon (50 minutes), St Ives (15) and Cambridge city centre (15). Onboard, there is air conditioning, free WiFi and power for your laptop and mobile devices. Please see www.thebusway.info for further information.

Explore Our Courses

Fine-Tuning and Customizing AI Models on Ollama

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at advanced-level professionals who wish to fine-tune and customize AI models on Ollama for enhanced performance and domain-specific applications. By the end of this training, participants will be able to:
  • Set up an efficient environment for fine-tuning AI models on Ollama.
  • Prepare datasets for supervised fine-tuning and reinforcement learning.
  • Optimize AI models for performance, accuracy, and efficiency.
  • Deploy customized models in production environments.
  • Evaluate model improvements and ensure robustness.
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Building Private AI Workflows with Ollama

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at advanced-level professionals who wish to implement secure and efficient AI-driven workflows using Ollama. By the end of this training, participants will be able to:
  • Deploy and configure Ollama for private AI processing.
  • Integrate AI models into secure enterprise workflows.
  • Optimize AI performance while maintaining data privacy.
  • Automate business processes with on-premise AI capabilities.
  • Ensure compliance with enterprise security and governance policies.
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Deploying and Optimizing LLMs with Ollama

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level professionals who wish to deploy, optimize, and integrate LLMs using Ollama. By the end of this training, participants will be able to:
  • Set up and deploy LLMs using Ollama.
  • Optimize 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.
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Getting Started with Ollama: Running Local AI Models

 7 Hours
This instructor-led, live training in Cambridge (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.
  • Optimize performance and resource usage for AI workloads.
  • Explore use cases for local AI deployment in various industries.
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Last Updated:

Provisional Upcoming Courses (Contact Us For More Information)

Getting Started with Ollama: Running Local AI Models

2025-06-17 09:30
7 hours
Cambridge

Getting Started with Ollama: Running Local AI Models

2025-07-01 09:30
7 hours
Cambridge

Deploying and Optimizing LLMs with Ollama

2025-07-15 09:30
14 hours
Cambridge

Getting Started with Ollama: Running Local AI Models

2025-07-29 09:30
7 hours
Cambridge

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