Prompt Engineering Mastery with Ollama Training Course

This instructor-led, live training in Kenya (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.
• 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 Kenya (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 Kenya (online or onsite) is designed for advanced-level professionals who wish to fine-tune and customize AI models on Ollama to achieve 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.

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

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

• Grasp the fundamentals of Ollama and its capabilities.
• Configure Ollama to run local AI models.
• Deploy and interact with LLMs using Ollama.
• Enhance performance and optimize resource usage for AI workloads.
• Investigate use cases for local AI deployment across various industries.

This live, instructor-led training in Kenya empowers finance practitioners and IT personnel to implement Ollama locally. Learners will acquire the ability to deploy, configure, and integrate large language models into secure financial workflows, while applying best practices for compliance and automation.

This live session in Kenya empowers healthcare practitioners and IT teams to deploy Ollama for local LLMs. Discover how to integrate AI into clinical processes, tailor models for specialized tasks, and maintain rigorous data privacy and regulatory compliance within secure healthcare settings.

Ollama is an open-source tool for running large language models locally on consumer and enterprise hardware. It abstracts model quantization, GPU allocation, and API serving into a single command-line interface, enabling organizations to self-host LLMs like Llama, Mistral, and Qwen without sending prompts or data to OpenAI, Anthropic, or Google.