Ollama Training in Michigan

Ollama is a lightweight platform designed for running large language models locally. This instructor-led, live training (available online or onsite) is targeted at intermediate-level finance professionals and IT personnel who aim to implement, customize, and operationalize Ollama-based AI solutions in financial environments. By completing this training, participants will acquire the skills necessary to: - Deploy and configure Ollama for secure use in financial operations. - Integrate local language models into analytical and reporting workflows. - Adapt models to finance-specific terminology and tasks. - Apply best practices for security, privacy, and compliance. **Format of the Course** - Interactive lectures and discussions. - Hands-on exercises with financial data. - Live-lab implementation of scenarios focused on finance. **Course Customization Options** - To request a customized training for government or other specific needs, please contact us to arrange.

Ollama is a lightweight platform designed for running large language models locally. This instructor-led, live training (online or onsite) is aimed at intermediate-level healthcare practitioners and IT teams who wish to deploy, customize, and operationalize Ollama-based AI solutions within clinical and administrative environments. Upon completing this training, participants will be able to: - Install and configure Ollama for secure use in healthcare settings. - Integrate local LLMs into clinical workflows and administrative processes. - Customize models for healthcare-specific terminology and tasks. - Apply best practices for privacy, security, and regulatory compliance. **Format of the Course** - Interactive lecture and discussion. - Hands-on demonstrations and guided exercises. - Practical implementation in a sandboxed healthcare simulation environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange. This option is available for government agencies and private organizations seeking tailored solutions for their specific needs.

Ollama is a platform designed for running large language and multimodal models locally, with features that support 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 Ollama-powered applications for government use. By the end of this training, participants will be able to: - Apply responsible AI principles in Ollama deployments. - Implement content filtering and bias mitigation strategies. - Design governance workflows for AI alignment and auditability. - Establish monitoring and reporting frameworks for compliance. **Format of the Course** - Interactive lecture and discussion. - Hands-on governance workflow design labs. - Case studies and compliance-focused exercises. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

Ollama is a platform designed to enable the local execution of large language and multimodal models while supporting secure deployment strategies. This instructor-led, live training (available online or onsite) is targeted at intermediate-level professionals who aim to deploy Ollama with robust data privacy and regulatory compliance measures for government operations. By the end of this training, participants will be able to: - Deploy Ollama securely in containerized and on-premises environments. - Apply differential privacy techniques to protect sensitive information. - Implement secure logging, monitoring, and auditing practices. - Enforce data access controls that align with compliance requirements for government. **Format of the Course:** - Interactive lectures and discussions. - 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 platform designed for running large language and multimodal models locally. This instructor-led, live training (available online or on-site) is aimed at intermediate-level practitioners who wish to master prompt engineering techniques to optimize Ollama outputs for government applications. By the end of this training, participants will be able to: - Design effective prompts for a variety of use cases. - Apply techniques such as priming and chain-of-thought structuring. - Implement prompt templates and context management strategies. - Build multi-stage prompting pipelines for complex workflows. **Format of the Course** - Interactive lecture and discussion. - Hands-on exercises in prompt design. - Practical implementation in a live-lab environment. **Course Customization Options** - To request a customized training for government use, 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 onsite) is targeted at intermediate to advanced engineers who aim to scale Ollama deployments in multi-user, high-throughput, and cost-efficient environments. By the end of this training, participants will be able to: - Configure Ollama for multi-user and distributed workloads. - Optimize GPU and CPU resource allocation. - Implement autoscaling, batching, and latency reduction strategies. - Monitor and optimize infrastructure for performance and cost efficiency. **Format of the Course:** - Interactive lecture and discussion. - Hands-on deployment and scaling labs. - Practical optimization exercises in live environments. **Course Customization Options:** - To request a customized training for government or other specific needs, please contact us to arrange.

Ollama is a platform designed for running and fine-tuning large language and multimodal models locally. This instructor-led, live training (online or onsite) is aimed at advanced-level ML engineers, AI researchers, and product developers who wish to build and deploy multimodal applications with Ollama. By the end of this training, participants will be able to: - Set up and run multimodal models using Ollama. - Integrate text, image, and audio inputs for practical applications. - Develop document understanding and visual question-and-answer systems. - Create multimodal agents capable of reasoning across different modalities. **Format of the Course** - Interactive lectures and discussions. - Hands-on practice with real multimodal datasets. - Live-lab implementation of multimodal pipelines using Ollama. **Course Customization Options for Government** - To request a customized training for this course tailored to government needs, please contact us to arrange.

Advanced Ollama Model Debugging & Evaluation is an in-depth course designed to address the diagnosis, testing, and measurement of model behavior in local or private Ollama deployments. This instructor-led, live training (available online or on-site) is tailored for 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 Ollama-hosted models and reliably reproduce failure modes. - Develop and execute robust evaluation pipelines incorporating both quantitative and qualitative metrics. - Implement observability measures (logs, traces, metrics) to monitor model health and detect drift. - Integrate automated testing, validation, and regression checks 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 for Government** - To request a customized training program for government agencies, please contact us to arrange.

This instructor-led, live training in [location] (online or onsite) is designed for advanced-level professionals who wish to fine-tune and customize AI models on Ollama for enhanced performance and domain-specific applications for government. 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 [location] (online or onsite) is aimed at advanced-level professionals who wish to implement secure and efficient AI-driven workflows using Ollama for government. 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 for government. - 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 [location] (online or onsite) is designed for intermediate-level professionals who wish to deploy, optimize, and integrate large language models (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 enhanced performance and efficiency. - Utilize GPU acceleration to achieve faster inference times. - Integrate Ollama into workflows and applications for government. - Monitor and maintain the performance of AI models over time.

This instructor-led, live training (online or onsite) is designed for beginner-level professionals who wish to install, configure, and utilize Ollama for running artificial intelligence models on their local machines. By the end of this training, participants will be able to: - Understand the foundational principles of Ollama and its capabilities. - Set up Ollama for executing local AI models. - Deploy and interact with large language models using Ollama. - Optimize performance and resource allocation for AI tasks. - Examine use cases for local AI deployment across various sectors, including applications for government.