Natural Language Processing (NLP) Training in Michigan

Ollama is a lightweight platform designed for the local execution of large language models.

This live, instructor-led training, available online or onsite, is designed for intermediate-level healthcare practitioners and IT professionals tasked with deploying, customizing, and operationalizing Ollama-based artificial intelligence solutions within clinical and administrative settings for government.

Upon completion of this training, participants will be equipped to:

• Install and configure Ollama to ensure secure usage in government healthcare environments.
• Integrate local large language models into clinical workflows and administrative processes for government.
• Adapt models to align with specialized healthcare terminology and operational tasks.
• Implement best practices regarding data privacy, security, and regulatory compliance for government operations.

Course Format

• Interactive lectures and facilitated discussions.
• Practical demonstrations and guided exercises.
• Application of concepts in a sandboxed healthcare simulation environment for government.

Course Customization Options

• Contact the training provider to arrange customized instruction for government-specific requirements.

This instructor-led training in Michigan addresses responsible AI principles for Ollama, with an emphasis on fairness, transparency, and accountability. Participants will construct governance workflows, execute bias mitigation measures, and establish compliance monitoring frameworks through practical laboratories and case studies.

This practical training in Michigan is directed at intermediate to advanced professionals tasked with constructing, deploying, and supervising AI agents. The curriculum focuses on utilizing Mistral Medium 3, Le Chat Enterprise, and Devstral for secure enterprise and developer applications, emphasizing the integration of connectors, RAG patterns, and compliance protocols for government and public sector operations.

This instructor-led, live training course in Michigan prepares intermediate professionals to securely deploy Ollama. It covers the application of differential privacy, the implementation of secure logging, and the enforcement of data access controls that align with regulatory compliance requirements for robust on-premise environments.

Claude AI is an advanced language model engineered to support complex analytical, strategic, and organizational tasks for government agencies.

This instructor-led, live training session, available online or on-site, is designed for project management and planning professionals at the entry level who seek to utilize Claude AI to enhance project design, documentation, communication, and long-term planning activities.

Upon completing this training, participants will possess the capability to:

• Generate project documentation, including charters, briefs, and scopes, using Claude AI.
• Analyze risks, constraints, and dependencies through AI-supported reasoning.
• Develop stakeholder communications and reporting outputs tailored for diverse audiences.
• Utilize Claude AI to facilitate sprint planning, prioritization, and roadmap refinement.

Format of the Course

• Instructor-led explanations accompanied by guided demonstrations.
• Practical exercises utilizing real-world project management scenarios.
• Structured activities applying Claude AI in a live environment.

Course Customization Options

• Custom scenarios, organization-specific templates, or industry-focused workflows may be incorporated upon request.

This live training in Michigan covers integrating Mistral conversational assistants into enterprise workflows. Participants will learn to connect SaaS tools, implement retrieval-augmented generation, and design effective UX patterns for customer-facing and internal chat interfaces.

Ollama serves as a platform facilitating the local execution of large language and multimodal models.

This instructor-led, live training session (available online or onsite) is designed for intermediate-level professionals seeking to master prompt engineering techniques to optimize Ollama outputs for government applications.

Upon completion of this training, participants will possess the capability to:

• Construct effective prompts tailored to diverse operational scenarios.
• Utilize techniques such as contextual priming and chain-of-thought structuring.
• Deploy prompt templates and advanced context management strategies.
• Develop multi-stage prompting pipelines for intricate workflow processes.

Instructional Format

• Interactive lectures and facilitated discussions.
• Practical exercises focused on prompt design.
• Real-world application within a live laboratory environment.

Course Customization Options

• To request a customized training program for this course, please contact our office to coordinate arrangements.

This instructor-led live training in Michigan equips entry-level professionals with the skills to apply Claude AI to customer support and public service operations. Participants will learn to automate triage processes, draft consistent professional responses, and integrate AI tools into existing workflows through practical, hands-on exercises designed for government environments.

Master LangGraph for legal applications with this 35-hour instructor-led training in Michigan. Ideal for intermediate to advanced professionals, this course covers workflow design, compliance controls, and human-in-the-loop approvals. Build auditable, production-ready LLM solutions for government operations with confidence.

This live training on Responsible AI with Mistral in Michigan is specifically tailored for compliance and security leadership. Participants will develop expertise in privacy-preserving techniques, data sovereignty strategies, and enterprise controls such as RBAC and SSO, ensuring the secure and compliant deployment of AI systems for government.

Ollama serves as a platform for executing large language and multimodal models in local and scaled environments.

This live, instructor-led course (available online or in-person) is designed for intermediate to advanced engineers responsible for scaling Ollama deployments to support multi-user, high-throughput, and cost-effective operations.

Upon completion of this training, participants will be equipped to:

• Configure Ollama for distributed and multi-user workloads.
• Optimize the allocation of GPU and CPU resources.
• Implement strategies for autoscaling, batching, and latency reduction.
• Monitor and refine infrastructure performance to ensure cost efficiency.

Course Delivery Format

• Interactive lectures and group discussions.
• Practical labs focused on deployment and scaling.
• Live-environment exercises for performance optimization.

Customization for Government

• Contact our team to arrange a customized training program tailored to specific organizational needs.

The Compute Architecture for Neural Networks (CANN) Software Development Kit offers robust mechanisms for the deployment and optimization of real-time artificial intelligence applications in computer vision and natural language processing, particularly on Huawei Ascend infrastructure.

This instructor-led, live training course, available in online or on-site formats, is designed for intermediate-level AI practitioners seeking to build, deploy, and optimize vision and language models using the CANN SDK for production use cases for government.

Upon completion of this training, participants will be equipped to:

• Deploy and optimize CV and NLP models using CANN and AscendCL.
• Leverage CANN tools to convert models and integrate them into live operational pipelines.
• Enhance inference performance for tasks such as detection, classification, and sentiment analysis.
• Construct real-time CV/NLP pipelines suitable for edge or cloud-based deployment scenarios for government.

Course Format

• Interactive lectures and technical demonstrations.
• Practical laboratory exercises focused on model deployment and performance profiling.
• Design of live pipelines utilizing authentic CV and NLP use cases.

Customization Options

• To request tailored training aligned with specific operational needs for government, please contact the program office to arrange.

This instructor-led training in Michigan prepares professionals to design LangGraph-based financial solutions. Participants will acquire the skills to implement workflows aligned with regulatory requirements, integrate data standards, and deploy systems with strong governance, observability, and compliance controls for government operations.

This instructor-led training in Michigan guides advanced ML engineers and AI researchers through building multimodal applications with Ollama. Participants will set up local models, integrate text and image inputs, and design visual QA systems and agents for real-world deployment.

Acquire the skills to build multimodal applications using Mistral models, with a focus on OCR, document intelligence, and vision-text search. This hands-on training covers pipeline implementation, NLP integration, and enterprise-grade design, delivered online or in Michigan.

This instructor-led, live training session in Michigan (online or onsite) is designed for intermediate-level data scientists and developers seeking to implement NLP techniques using Python within the Google Colab environment for government.

Upon completion of this training, participants will possess the ability to:

• Demonstrate proficiency in the fundamental concepts of natural language processing.
• Execute preprocessing and cleansing procedures on text data for NLP operations.
• Conduct sentiment analysis using the NLTK and SpaCy libraries.
• Manage text data utilizing Google Colab to support scalable and collaborative development initiatives.

This advanced instructor-led training in Michigan focuses on the systematic diagnosis, testing, and evaluation of local Ollama deployments. It addresses debugging protocols, robust evaluation pipelines, observability standards, and automated CI/CD integration to ensure production reliability and operational readiness for government applications.

This instructor-led, live training module, delivered in Michigan (online or onsite), is targeted at intermediate-level researchers, analysts, and knowledge professionals who intend to leverage Claude AI for managing large data volumes, synthesizing information, and automating research tasks for government.

Upon completion of this training, participants will be equipped to:

• Apply Claude AI to literature reviews and research synthesis for government contexts.
• Summarize official reports, research papers, and long-form documents.
• Extract critical insights and trends from both structured and unstructured data sources.
• Integrate Claude AI into established research and knowledge management workflows.

This instructor-led training in Michigan is designed for machine learning engineers seeking to master the self-hosting and fine-tuning of Devstral and Mistral models for government applications. Participants will acquire practical governance, monitoring, and compliance techniques to deploy open-source AI with assured reliability in production environments.

Discover how to apply LangGraph for healthcare with this live training in Michigan, designed for intermediate to advanced professionals. Learn to design stateful, compliant workflows, integrate standards like FHIR and SNOMED CT, and address ethical, operational challenges in regulated environments for government.

This instructor-led, live training in Michigan targets advanced AI platform engineers, DevOps specialists, and ML architects seeking to optimize, debug, monitor, and operate production-grade LangGraph systems for stateful, multi-actor LLM applications as composable graphs, specifically for government use.

This instructor-led, live training in Michigan (online or onsite) is targeted at beginner- to intermediate-level content creators, writers, and marketers seeking to leverage Claude AI for content generation, editing, and summarization to enhance blogs, reports, and marketing materials for government stakeholders.

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

• Apply Claude AI for content brainstorming and idea expansion.
• Enhance writing through AI-assisted editing and proofreading.
• Generate summaries for long-form content and reports.
• Streamline the creation of marketing copy for various platforms.

This instructor-led, live training in Michigan (online or onsite) is designed for advanced-level professionals seeking to fine-tune and customize AI models on Ollama to improve performance and support domain-specific applications for government and public sector contexts.

Upon completion of this training, participants will be equipped to:

• Establish 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.

Acquire proficiency in cost-effective Mistral LLM architectures through this 14-hour live training conducted in Michigan. Participants will learn to deploy, optimize, and scale Mistral Medium 3 for government, achieving maximum throughput and minimum cost. The curriculum utilizes batching, quantization, and efficient servicing strategies tailored for enterprise workloads.

This instructor-led, live training in Michigan (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 Michigan (delivered online or onsite) is tailored for intermediate-level software developers and AI engineers tasked with integrating Claude AI into public sector applications, developing AI-assisted communication tools, and improving software functionality through automated processes.

Upon completion, participants will be equipped to:

• Implement the Claude AI API to embed intelligent features into public-facing applications.
• Construct AI-driven communication interfaces and virtual assistants for citizen engagement.
• Incorporate AI-powered automation and natural language processing to streamline government workflows.
• Optimize and fine-tune Claude AI models to align with specific governmental operational requirements.

LangGraph serves as a graph-based orchestration framework that facilitates conditional, multi-step workflows involving large language models (LLMs) and external tools. This infrastructure is well-suited for the automation and customization of content pipelines for government operations.

This instructor-led, live training session, available in online or onsite formats, targets intermediate-level professionals, including content strategists and automation developers. The objective is to implement dynamic, branching email campaigns and automated content generation systems using LangGraph.

Upon completion of this training, participants will possess the ability to:

• Design graph-structured content and email workflows incorporating conditional logic.
• Integrate LLMs, application programming interfaces (APIs), and external data sources to drive automated personalization.
• Manage state, memory, and contextual data across multi-step campaign executions.
• Evaluate, monitor, and optimize workflow performance and final delivery outcomes.

Course Structure and Delivery Method

• Interactive instructional sessions and facilitated group discussions.
• Practical laboratory exercises focused on implementing email workflows and content pipelines.
• Scenario-based assignments emphasizing personalization, audience segmentation, and branching logic.

Course Customization and Tailored Solutions

• For inquiries regarding customized training solutions tailored to specific operational needs for government, please contact the appropriate administrative office.

This live training session in Michigan examines Le Chat Enterprise, a private ChatOps solution designed for secure, governed conversational AI. Participants will learn to deploy, configure, and integrate the platform with enterprise applications, ensuring the implementation of RBAC, SSO, and compliance-driven controls for scalable and secure AI workflows for government use.

Develop expertise in Devstral through this live training session conducted in Michigan. The curriculum covers system architecture, agentic workflow design, and tool integration. Designed for advanced engineers, the course utilizes hands-on laboratories to construct coding agents that enhance productivity and security for government operations within modern development environments.

This instructor-led, live training held in Michigan (online or in-person) is targeted at entry-level professionals who intend to incorporate Claude AI into their daily operational routines to enhance efficiency and automation.

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

• Utilize Claude AI for the automation of repetitive duties and the streamlining of workflows.
• Improve individual and collective productivity through AI-assisted automation.
• Integrate Claude AI with current institutional tools and digital platforms.
• Refine AI-driven decision-making processes and task management structures.

This instructor-led live training in Michigan (offered online or on-site) is designed for intermediate-level professionals seeking to deploy, optimize, and integrate LLMs using Ollama for government purposes.

Upon completion of this course, participants will be equipped to:

• Configure and deploy LLMs using Ollama in a secure environment.
• Optimize AI models to ensure peak performance and resource efficiency.
• Utilize GPU acceleration to enhance inference speeds for operational needs.
• Integrate Ollama into existing workflows and internal applications.
• Establish monitoring protocols to maintain AI model performance over time.

This live, online or onsite course in Michigan guides intermediate engineers in the development of dynamic LLM workflows using LangGraph. Participants will learn to design stateful graphs, implement complex branching logic, and integrate retrieval systems, APIs, and memory modules to create robust, context-aware applications appropriate for government deployment.

This instructor-led, live training in Michigan (online or on-site) is targeted at intermediate-level data scientists, AI developers, and AI enthusiasts seeking to utilize LLMs for performing diverse NLP tasks and creating novel, varied content for specific purposes.

Upon completion of this training, participants will be able to:

• Establish a development environment utilizing LLMs and essential tools.
• Proficiently perform NLU and NLI tasks using LLMs.
• Effectively extract, infer, and apply knowledge graphs.
• Generate and manage dialogues using LLMs for conversational applications.
• Evaluate the quality and diversity of content generated by LLMs and generative AI.
• Apply ethical principles to ensure fairness and responsible use of LLMs.

This facilitated, live training in Michigan (virtual or on-site) targets intermediate-level technical personnel aiming to enhance NLP projects via the systematic refinement of pre-trained language models.

Upon completion of this training, participants will be equipped to:

• Comprehend the foundational principles of model adaptation for NLP operations.
• Refine pre-trained architectures, including GPT, BERT, and T5, for targeted NLP applications.
• Tune hyperparameters to enhance model accuracy and reliability.
• Assess and implement refined models within production environments.

This instructor-led LangGraph Foundations course in Michigan enables developers to construct graph-based LLM applications. Participants will master core concepts including node and edge definitions, state management, and branching logic. The curriculum covers the integration of tools, retrieval systems, and external APIs, culminating in the testing and deployment of reliable workflows through practical laboratory exercises.

This instructor-led training in Michigan enables advanced AI engineers to deploy and secure Mistral Medium 3 for government and enterprise contexts. The curriculum covers optimizing inference costs, implementing multimodal workflows, and adhering to compliance standards. Participants will engage in hands-on labs focused on API and self-hosted configurations.

This instructor-led live training session in Michigan (online or onsite) is intended for entry-level professionals aiming to install, configure, and utilize Ollama for deploying AI models on local hardware.

Upon completion of this program, participants will be equipped to:

• Comprehend the core functionalities and capabilities of Ollama.
• Establish Ollama for the local execution of AI models.
• Deploy and engage with LLMs utilizing the Ollama framework.
• Enhance performance metrics and resource efficiency for AI workloads.
• Investigate applicable use cases for local AI deployment across various sectors.

This course examines the fundamental principles of artificial intelligence, analyzing how intelligent technologies drive digital transformation, operational automation, and data-driven decision-making within public sector agencies. It provides a comprehensive overview of core domains, including the historical development of AI, structured problem-solving methods, logical knowledge representation, reasoning under uncertainty, and machine learning frameworks, along with capabilities for natural language processing, perception, and autonomous robotics. The curriculum is designed for government officials and technical leaders, offering insights into evaluating AI adoption opportunities, assessing technological trends, and integrating intelligent systems to enhance service delivery, accountability, and organizational efficiency for government operations.

A two-day professional development course designed for developers already utilizing AI coding tools such as Cursor, Claude Code, or Copilot. The curriculum focuses on delegating comprehensive tasks to autonomous agents, constructing the personalization framework (Rules, AGENTS.md, Skills, MCP, Agents), integrating and building MCP servers, executing parallel agent operations, and implementing structured agentic workflows. The instructional material is tool-agnostic. This course serves as a continuation of the Foundations module.

This two-day introductory course is designed for individuals new to artificial intelligence-assisted software development, including those with minimal or no coding background. The curriculum addresses the operational mechanics of these tools, methods for directing them via prompts, and applications to common tasks such as constructing a small project from the ground up, working within existing codebases, and reviewing outcomes. The content is platform-agnostic and applicable to tools such as Cursor, Claude Code, Copilot, and similar systems. This course serves as a prerequisite for the Agentic AI Development: Advanced Workflows training.

This two-part training initiative is formulated for software delivery teams seeking to embed AI-enhanced engineering processes into their routine operations utilizing Claude Code.

This course Michigan provides comprehensive artificial intelligence training spanning data analysis, distributed machine learning, and natural language processing, designed to help developers build large-scale intelligent systems. It offers an in-depth exploration of practical methodologies for Spark MLlib, recommendation engines, Word2Vec-based semantic analysis, and RNN-LSTM architectures. By enabling professionals to transform raw data into automated decision-making pipelines suitable for production deployment, the course comprehensively enhances the core capabilities required for building sophisticated intelligent systems

This instructor-led, live training in Michigan is designed for intermediate-level developers who intend to design, construct, and test AI agents utilizing the Claude API and the Agent SDK.

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

• Execute Messages API requests incorporating system prompts, structured output, and streaming capabilities
• Define tool parameters and implement a resilient tool utilization cycle
• Integrate agents with external systems via MCP servers
• Develop and deploy agents using the Claude Agent SDK, including the configuration of permissions and sub-agents
• Optimize costs and reduce latency through prompt caching and efficient context management
• Conduct testing, logging, and monitoring of agent performance using a curated evaluation set

This instructor-led, live training in Michigan is designed for intermediate to advanced developers and technical leads seeking to configure and scale Claude Code for reliable team use.

Upon completion of this training, participants will be able to:

• Structure CLAUDE.md files, settings, and permissions for specific repositories and teams
• Develop custom subagents with defined roles and controlled tool access
• Implement hooks to automatically enforce formatting, testing, and safety regulations
• Package recurring workflows as Skills, slash commands, and plugins
• Integrate Claude Code with external systems through MCP servers
• Execute Claude Code non-interactively in scripts and CI pipelines, with critical review of outputs

This instructor-led, live training in Michigan is designed for entry-level business professionals without coding experience who wish to develop independent tools and automations using Claude Code for government.

Upon completion of this training, participants will be able to:

• Install and configure Claude Code and operate securely within designated project directories
• Articulate task requirements in plain language to direct Claude Code in planning and execution
• Automate file management, report generation, and data cleaning for internal operations
• Develop basic web pages or internal tools and execute them locally
• Interpret code changes, test outputs, and error messages to assess operational success
• Document, archive, and transfer completed tools, including basic version tracking

This instructor-led, live training session in Michigan is targeted at entry-level to mid-level public sector professionals who aim to delegate research, documentation, and routine administrative tasks to Claude Cowork with a focus on security and efficiency.

Upon completion of this program, participants will possess the competency to:

• Differentiate between conversational AI interfaces and autonomous task-execution systems
• Formulate precise task directives specifying objectives, context, limitations, and required outputs
• Assign responsibilities involving research synthesis, document drafting, file organization, and spreadsheet analysis
• Critically evaluate and amend outputs prior to official use or distribution
• Enforce access restrictions, monitor system actions, and manage confidential data in accordance with security standards
• Construct a personalized inventory of delegable tasks and a structured protocol for their execution

Claude Cowork facilitates the execution of end-to-end workflows, such as research, document preparation, and file operations, rather than responding to isolated prompts. This course instructs on drafting effective task directives, validating execution plans, and reviewing final outputs. Participants will delegate three real-world tasks and establish a recurring automated process.

This instructor-led, live training in Michigan is intended for: knowledge workers, administrative assistants, and project or department leaders who aim to delegate complete task cycles to Claude instead of engaging in sequential conversational exchanges.

Upon completion of this training, participants will be able to:

• Differentiate between interactive chat sessions and delegated task execution in Cowork
• Structure task directives that include objectives, source materials, constraints, and acceptance criteria
• Generate documents, spreadsheets, and presentations from designated folder contents
• Delegate research tasks from initial inquiry through to final reporting
• Leverage plugins, skills, and integrations within the Cowork platform
• Define approval milestones, backup procedures, and secure folder access protocols for government contexts

Course Format

• Duration: One day (seven hours)
• Interactive instruction with a facilitator, including discussion and hands-on exercises based on participants' specific use cases
• Outcome, Day 1: Each participant will have delegated three substantive tasks to Cowork, reviewed the outcomes, and configured a scheduled workflow.

Customization Options

• To request a customized training program for government use, please contact us to schedule a consultation.

Natural Language Processing converts unstructured text into actionable intelligence, enhancing the capacity of automated systems to interpret human communication. This curriculum examines foundational techniques, including corpus analysis, syntactic parsing, preprocessing pipelines, and dimensionality reduction methods such as Singular Value Decomposition (SVD) and Non-negative Matrix Factorization (NMF). It provides practical instruction on implementing document clustering, topic modeling, sentiment analysis, and Named Entity Recognition using Python. The training equips personnel with the skills to develop robust text analytics capabilities, supporting automated content classification and information retrieval for government operations.

Ollama is an open-source framework for executing large language models locally on consumer and enterprise-grade hardware. It streamlines model quantization, GPU resource allocation, and API serving through a unified command-line interface, enabling public sector organizations to self-host LLMs such as Llama, Mistral, and Qwen while retaining data sovereignty, without transmitting prompts or sensitive information to external providers like OpenAI, Anthropic, or Google.