Prompt Engineering Mastery with Ollama Training Course

Advanced Ollama Model Debugging & Evaluation is an in-depth course designed to help participants diagnose, test, and measure the behavior of models when deployed locally or privately using Ollama.

This instructor-led, live training (available online or onsite) is targeted at advanced-level AI engineers, ML Ops professionals, and QA practitioners who aim to ensure the reliability, accuracy, and operational readiness of Ollama-based models in production environments.

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

• Conduct systematic debugging of models hosted on Ollama and reliably reproduce failure modes.
• Create and execute robust evaluation pipelines using both quantitative and qualitative metrics.
• Implement observability features such as logs, traces, and metrics to monitor model health and detect drift.
• Automate testing, validation, and regression checks, integrating them into CI/CD pipelines.

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs and debugging exercises using Ollama deployments.
• Case studies, group troubleshooting sessions, and automation workshops.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Taiwan (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 Taiwan (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 Taiwan (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.

Ollama is a platform that allows users to run and fine-tune large language and multimodal models locally.

This instructor-led, live training (available both online and onsite) is designed for advanced ML engineers, AI researchers, and product developers who want to build and deploy multimodal applications using Ollama.

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

• Set up and operate multimodal models with Ollama.
• Integrate text, image, and audio inputs for practical applications.
• Create document understanding and visual question-answering systems.
• Develop multimodal agents that can reason across different types of data.

Format of the Course

• Interactive lectures and discussions.
• Practical hands-on exercises with real multimodal datasets.
• Live-lab implementation of multimodal pipelines using Ollama.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Taiwan (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.

Ollama is a platform designed to enable the local execution of large language and multimodal models while ensuring secure deployment strategies.

This instructor-led, live training (available online or on-site) is targeted at intermediate-level professionals who are interested in deploying Ollama with robust data privacy and regulatory compliance measures.

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

• Deploy Ollama securely in both containerized and on-premises environments.
• Implement differential privacy techniques to protect sensitive data.
• Adopt secure logging, monitoring, and auditing practices.
• Ensure data access control that aligns with compliance requirements.

Format of the Course

• Interactive lectures and discussions.
• Practical hands-on labs focusing on secure deployment patterns.
• Compliance-focused case studies and practical exercises.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Ollama is a lightweight platform designed for running large language models on local systems.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level finance professionals and IT personnel who aim to implement, customize, and operationalize AI solutions based on Ollama within financial settings.

Upon completing this training, participants will acquire the necessary skills to:

• Deploy and configure Ollama securely for use in financial operations.
• Integrate local language models into analytical and reporting processes.
• Customize models to handle finance-specific terminology and tasks.
• Implement best practices for security, privacy, and compliance.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises with financial data.
• Practical lab sessions focusing on finance-related scenarios.

Course Customization Options

• For a customized training session tailored to your specific needs, please contact us to arrange.

Ollama is a lightweight platform designed for running large language models locally.

This instructor-led, live training (available online or on-site) is targeted at intermediate-level healthcare professionals and IT teams who aim to deploy, customize, and operationalize AI solutions based on Ollama within clinical and administrative settings.

Upon completing this training, participants will be able to:

• Install and configure Ollama for secure use in healthcare environments.
• Integrate local language models into clinical workflows and administrative processes.
• Customize the models to suit healthcare-specific terminology and tasks.
• Apply best practices for ensuring privacy, security, and regulatory compliance.

Format of the Course

• Interactive lectures and discussions.
• Hands-on demonstrations and guided exercises.
• Practical implementation in a simulated healthcare environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Ollama is a platform designed for running large language and multimodal models locally, with support for governance and responsible AI practices.

This instructor-led, live training (available online or on-site) is targeted at intermediate to advanced professionals who aim to implement fairness, transparency, and accountability in applications powered by Ollama.

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

• Apply responsible AI principles in their Ollama deployments.
• Implement strategies for content filtering and bias mitigation.
• Design governance workflows to ensure AI alignment and auditability.
• Set up monitoring and reporting frameworks to meet compliance requirements.

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs for designing governance workflows.
• Case studies and exercises focused on compliance.

Course Customization Options

• To request a customized training session for this course, please contact us to arrange.

Ollama is a platform designed for running large language and multimodal models locally and at scale.

This instructor-led, live training (available online or on-site) is targeted at intermediate to advanced-level engineers who want to scale Ollama deployments for multi-user, high-throughput, and cost-efficient environments.

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

• Set up Ollama for multi-user and distributed tasks.
• Optimize the allocation of GPU and CPU resources.
• Implement autoscaling, batching, and latency reduction techniques.
• Monitor and enhance infrastructure performance and cost efficiency.

Format of the Course

• Interactive lectures and discussions.
• Hands-on deployment and scaling labs.
• Practical optimization exercises in live environments.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.