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Fine-Tuning and Customizing AI Models on Ollama

 14 Hours
This instructor-led, live training in Bhutan (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 Bhutan (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 Bhutan (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 Bhutan (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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Upcoming Courses

Deploying and Optimizing LLMs with Ollama

2025-07-24 09:30
14 hours
Online
168661 BTN (Online)

Deploying and Optimizing LLMs with Ollama

2025-08-07 09:30
14 hours
Online
168661 BTN (Online)

Building Private AI Workflows with Ollama

2025-08-21 09:30
14 hours
Online
168661 BTN (Online)

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