Whether delivered online or on-site, these instructor-led live Ollama training courses provide interactive, hands-on practice to demonstrate how to efficiently run, fine-tune, and deploy local AI models using Ollama.
Ollama training is offered in two formats: 'online live training' or 'onsite live training'. Online live training (also referred to as 'remote live training') is conducted via an interactive remote desktop. Onsite live training can be delivered directly at your customer premises in Durban or at NobleProg corporate training centers in Durban.
NobleProg -- Your Local Training Provider
Garden Court South Beach
Durban, South Africa
Way to get there
From Durban city centre: follow the beachfront/Marine Parade south toward South Beach.
By car/taxi: give the driver the address 73 O.R. Tambo Parade, South Beach, Durban 4001.
From King Shaka International Airport: the hotel is roughly 30 km ;from the airport.
This instructor-led live training in Durban empowers finance practitioners and IT personnel with the skills to implement Ollama locally. Participants learn to deploy, configure, and integrate large language models into secure financial workflows, applying best practices for compliance and automation.
This live training in Durban empowers healthcare practitioners and IT teams to deploy Ollama for local LLMs. Participants will learn to integrate AI into clinical workflows, tailor models for specific tasks, and uphold strict data privacy and regulatory compliance within secure healthcare environments.
This instructor-led training in Durban explores responsible AI principles specific to Ollama, with a focus on fairness, transparency, and accountability. Through hands-on labs and case studies, participants will design governance workflows, implement bias mitigation strategies, and establish frameworks for compliance monitoring.
This live, instructor-led training in Durban empowers intermediate professionals to deploy Ollama securely. Learn to apply differential privacy, implement secure logging, and enforce data access controls that meet regulatory compliance standards, ensuring robust on-premise environments.
This instructor-led live training in Durban helps intermediate practitioners master prompt engineering for Ollama. Learn to design effective prompts, apply chain-of-thought techniques, and manage context windows. Build multi-stage pipelines and optimize outputs through hands-on exercises.
This instructor-led session in Durban focuses on scaling Ollama deployments to support high-throughput, cost-efficient environments. Participants will explore GPU optimization, Kubernetes deployment, autoscaling, and monitoring strategies to construct resilient LLM infrastructure for multi-user workloads.
This instructor-led training in Durban provides senior ML engineers and AI researchers with guidance on creating multimodal applications using Ollama. Learners will configure local models, merge text and image inputs, and develop visual QA systems and agents for practical deployment scenarios.
This advanced instructor-led training in Durban concentrates on diagnosing, testing, and evaluating local Ollama deployments. It addresses systematic debugging, robust evaluation pipelines, observability, and automated CI/CD integration to guarantee production reliability and operational readiness.
This instructor-led, live training in Durban (online or onsite) is aimed at advanced-level professionals who wish to fine-tune and customise 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.
Optimise AI models for performance, accuracy, and efficiency.
Deploy customised models in production environments.
Evaluate model improvements and ensure robustness.
This instructor-led, live training in Durban (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.
This instructor-led, live training in Durban (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.
This instructor-led, live training in Durban (online or on-site) is designed for beginner-level professionals who want to install, configure, and utilise Ollama to run AI models on their own machines.
Upon completion of this training, participants will be able to:
Grasp the fundamentals of Ollama and its core capabilities.
Configure Ollama for executing local AI models.
Deploy and interact with LLMs using Ollama.
Optimise performance and resource allocation for AI workloads.
Explore practical use cases for local AI deployment across various industries.
Ollama is an open-source utility designed to execute large language models locally on both consumer-grade and enterprise hardware. It streamlines complex processes such as model quantization, GPU resource allocation, and API serving into a unified command-line interface. This allows organizations to deploy self-hosted LLMs, including Llama, Mistral, and Qwen, ensuring that prompts and data remain secure without being transmitted to OpenAI, Anthropic, or Google.
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