Natural Language Processing (NLP) Training in Florida

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 the local deployment of large language models.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level healthcare practitioners and IT teams who seek 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 language models into clinical workflows and administrative processes.
• Customize models to align with healthcare-specific terminology and tasks.
• Implement best practices for privacy, security, and regulatory compliance.

Format of the Course

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

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 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.

Mistral AI is a robust suite of open-source and enterprise-ready artificial intelligence models designed for language, multimodal, and agentic applications. This instructor-led, live training (available online or on-site) is tailored for intermediate to advanced professionals who aim to build, deploy, and manage AI agents using Mistral’s Medium 3, Le Chat Enterprise, and Devstral models. By the end of this training, participants will be able to: - Understand the architecture and capabilities of Mistral Medium 3, Le Chat Enterprise, and Devstral. - Design and implement AI agents leveraging Mistral models for enterprise and developer use cases. - Integrate coding systems, connectors, and enterprise data into agent workflows. - Optimize performance, cost, and compliance for Mistral-powered agents. **Format of the Course** - Interactive lecture and discussion - Extensive exercises and practice sessions - Hands-on implementation in a live-lab environment **Course Customization Options for Government** To request a customized training for this course tailored to specific needs, 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.

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

This instructor-led, live training (online or onsite) is aimed at beginner-level project management and planning professionals who wish to utilize Claude AI to enhance project design, documentation, communication, and long-term planning activities.

Upon completing this training, participants will gain the ability to:

• Create project documentation such as charters, briefs, and scopes using Claude AI.
• Analyze risks, constraints, and dependencies with AI-supported reasoning.
• Develop stakeholder communications and reporting outputs tailored to different audiences.
• Use Claude AI to support sprint planning, prioritization, and roadmap refinement.

Format of the Course

• Instructor explanations combined with guided demonstrations.
• Hands-on practice using real-world project management scenarios.
• Structured exercises applying Claude AI in a live environment.

Course Customization Options

• Custom scenarios, organization-specific templates, or industry-focused workflows can be integrated upon request to better align with specific agency needs.

Mistral AI is an open artificial intelligence platform that enables teams to develop and integrate conversational assistants into enterprise and customer-facing workflows.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate level product managers, full-stack developers, and integration engineers who wish to design, integrate, and deploy conversational assistants using Mistral connectors and integrations for government applications.

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

• Integrate Mistral conversational models with enterprise and SaaS connectors for seamless communication.
• Implement retrieval-augmented generation (RAG) to ensure responses are well-grounded and contextually relevant.
• Design user experience (UX) patterns for both internal and external chat assistants, enhancing usability and efficiency.
• Deploy conversational assistants into product workflows for practical and real-world use cases, ensuring they meet the needs of government operations.

Format of the Course

• Interactive lecture and discussion to foster understanding and engagement.
• Hands-on integration exercises to apply concepts in a practical setting.
• Live-lab development of conversational assistants to reinforce learning through real-world scenarios.

Course Customization Options

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

Ollama is a platform designed to facilitate the local execution of large language and multimodal models.

This instructor-led, live training (conducted online or on-site) is tailored for intermediate-level practitioners who aim 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 suitable for a variety of use cases.
• Apply advanced techniques such as priming and chain-of-thought structuring.
• Implement prompt templates and context management strategies.
• Create multi-stage prompting pipelines to support complex workflows.

Format of the Course

• Interactive lectures and discussions.
• Practical exercises focusing on prompt design.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Claude AI is a generative artificial intelligence system designed to assist with reasoning, content generation, knowledge retrieval, and workflow automation for government.

This instructor-led, live training (available online or on-site) is aimed at beginner-level professionals who wish to apply Claude AI to customer support and service operations tasks within the public sector.

Upon completing this program, participants will be able to:

• Utilize Claude to expedite support triage and classification processes.
• Generate customer responses and summaries that maintain a consistent tone.
• Automate the drafting of support tickets and knowledge retrieval procedures.
• Integrate Claude into existing customer support workflows to enhance efficiency and accuracy.

Format of the Course

• Guided lectures featuring real-world support scenarios relevant to government operations.
• Practical exercises based on enterprise service cases tailored for public sector applications.
• Hands-on use of Claude in a simulated support environment designed to mirror government workflows.

Course Customization Options

• If you require this course to be tailored to your organization’s specific support workflows, please contact us to discuss customization options.

LangGraph is a framework designed for building stateful, multi-actor language model applications as composable graphs with persistent state and precise control over execution. This instructor-led, live training (available online or onsite) is aimed at intermediate to advanced-level professionals who wish to design, implement, and operate LangGraph-based solutions for government with the necessary compliance, traceability, and governance controls. By the end of this training, participants will be able to: - Design legal-specific LangGraph workflows that ensure auditability and compliance. - Integrate legal ontologies and document standards into graph state and processing. - Implement guardrails, human-in-the-loop approvals, and traceable decision paths. - Deploy, monitor, and maintain LangGraph services in production with observability and cost controls. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

Mistral AI is an open and enterprise-ready artificial intelligence platform designed to provide secure, compliant, and responsible AI deployment solutions. This instructor-led, live training (available online or on-site) is tailored for intermediate-level compliance leads, security architects, and legal/operations stakeholders who seek to implement responsible AI practices with Mistral. The training emphasizes leveraging privacy, data residency, and enterprise control mechanisms to ensure alignment with regulatory standards. By the end of this training, participants will be able to: - Implement privacy-preserving techniques in Mistral deployments. - Apply data residency strategies to comply with regulatory requirements. - Set up enterprise-grade controls such as Role-Based Access Control (RBAC), Single Sign-On (SSO), and audit logs. - Evaluate vendor and deployment options to ensure compliance alignment. **Format of the Course** - Interactive lectures and discussions. - Compliance-focused case studies and exercises. - Hands-on implementation of enterprise AI controls. **Course Customization Options for Government** - To request a customized training for government, 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.

The CANN SDK (Compute Architecture for Neural Networks) provides robust deployment and optimization tools for real-time AI applications in computer vision and natural language processing, particularly on Huawei Ascend hardware. This instructor-led, live training (online or onsite) is designed for intermediate-level AI practitioners who aim to build, deploy, and optimize vision and language models using the CANN SDK for production use cases for government. By the end of this training, participants will be able to: - Deploy and optimize computer vision and natural language processing models using CANN and AscendCL. - Utilize CANN tools to convert models and integrate them into live pipelines. - Enhance inference performance for tasks such as detection, classification, and sentiment analysis. - Construct real-time computer vision and natural language processing pipelines suitable for edge or cloud-based deployment scenarios. **Format of the Course** - Interactive lecture and demonstration. - Hands-on laboratory sessions with model deployment and performance profiling. - Live pipeline design using real-world computer vision and natural language processing use cases. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

Claude AI is an advanced language and reasoning system designed to support structured data tasks, analytical workflows, and business intelligence augmentation for government agencies.

This instructor-led, live training (available online or onsite) is aimed at beginner to intermediate-level professionals who wish to leverage Claude to enhance data analysis, generate insights, and streamline BI processes.

After completing this training, attendees will be able to:

• Utilize Claude for ad-hoc exploratory data analysis in government contexts.
• Generate SQL queries, summaries, and transformations using natural language prompts tailored to government datasets.
• Design dashboards, KPIs, and analytical views more efficiently with the assistance of Claude.
• Interpret business data with enhanced accuracy through structured AI-assisted reasoning, ensuring alignment with public sector workflows.

Format of the Course

• Instructor-led demonstrations and guided discussions focused on government-specific use cases.
• Hands-on exercises using real-world government datasets to ensure practical application.
• Practical application of Claude within BI-focused scenarios relevant to government operations.

Course Customization Options

• If customization is needed to align with your internal BI tools or workflows, please contact us to arrange a tailored version of this course for government agencies.

LangGraph is a framework designed for building stateful, multi-actor language model applications as composable graphs with persistent state and control over execution. This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level professionals who wish to design, implement, and operate LangGraph-based solutions in the finance sector, ensuring proper governance, observability, and compliance for government and private entities. By the end of this training, participants will be able to: - Design finance-specific LangGraph workflows aligned with regulatory and audit requirements. - Integrate financial data standards and ontologies into graph state and tooling. - Implement reliability, safety, and human-in-the-loop controls for critical processes. - Deploy, monitor, and optimize LangGraph systems for performance, cost, and service level agreements (SLAs). **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for government or private sector 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.

Mistral models are open-source AI technologies that now support multimodal workflows, enabling both language and vision tasks for enterprise and research applications. This instructor-led, live training (online or onsite) is designed for intermediate-level ML researchers, applied engineers, and product teams who wish to develop multimodal applications using Mistral models, including OCR and document understanding pipelines. By the end of this training, participants will be able to: - Set up and configure Mistral models for multimodal tasks. - Implement OCR workflows and integrate them with NLP pipelines. - Design document understanding applications for enterprise use cases. - Develop vision-text search and assistive UI functionalities. **Format of the Course** - Interactive lecture and discussion. - Hands-on coding exercises. - Live-lab implementation of multimodal pipelines. **Course Customization Options for Government** - To request a customized training for this course, tailored to specific needs and requirements, please contact us to arrange.

This instructor-led, live training in [location] (online or onsite) is aimed at intermediate-level data scientists and developers who wish to apply natural language processing (NLP) techniques using Python in Google Colab for government applications. By the end of this training, participants will be able to: - Understand the core concepts of NLP. - Preprocess and clean text data for NLP tasks. - Perform sentiment analysis using NLTK and SpaCy libraries. - Work with text data using Google Colab for scalable and collaborative development in a government context.

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 Florida (online or onsite) is designed for intermediate-level researchers, analysts, and knowledge workers who seek to leverage Claude AI for processing large volumes of data, synthesizing information, and automating research tasks.

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

• Utilize Claude AI for conducting literature reviews and synthesizing research findings.
• Summarize reports, research papers, and extensive documents efficiently.
• Identify key insights and trends from both structured and unstructured data sources.
• Integrate Claude AI into their research and knowledge management workflows for government and other public sector applications.

The Devstral and Mistral models are open-source artificial intelligence technologies designed for flexible deployment, fine-tuning, and scalable integration. This instructor-led, live training (available online or onsite) is targeted at intermediate to advanced machine learning engineers, platform teams, and research engineers who aim to self-host, fine-tune, and govern the use of Mistral and Devstral models in production environments for government. By the end of this training, participants will be able to: - Set up and configure self-hosted environments for Mistral and Devstral models. - Apply fine-tuning techniques to optimize performance for specific domains. - Implement versioning, monitoring, and lifecycle governance practices. - Ensure security, compliance, and responsible usage of open-source models. **Format of the Course** - Interactive lectures and discussions. - Hands-on exercises in self-hosting and fine-tuning. - Live-lab implementation of governance and monitoring pipelines. **Course Customization Options** - To request a customized training for government use, please contact us to arrange.

LangGraph enables stateful, multi-actor workflows powered by LLMs with precise control over execution paths and state persistence. In healthcare, these capabilities are essential for compliance, interoperability, and building decision-support systems that align with medical workflows. This instructor-led, live training (online or onsite) is aimed at intermediate to advanced professionals who wish to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges for government and private sector applications. By the end of this training, participants will be able to: - Design healthcare-specific LangGraph workflows with compliance and auditability in mind. - Integrate LangGraph applications with medical ontologies and standards (FHIR, SNOMED CT, ICD). - Apply best practices for reliability, traceability, and explainability in sensitive environments. - Deploy, monitor, and validate LangGraph applications in healthcare production settings. **Format of the Course** - Interactive lecture and discussion. - Hands-on exercises with real-world case studies. - Implementation practice in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

LangGraph is a framework designed for building stateful, multi-actor language model applications as composable graphs with persistent state and control over execution. This instructor-led, live training (online or onsite) is aimed at advanced-level AI platform engineers, DevOps professionals for government, and ML architects who wish to optimize, debug, monitor, and operate production-grade LangGraph systems. By the end of this training, participants will be able to: - Design and optimize complex LangGraph topologies for speed, cost, and scalability. - Engineer reliability through retries, timeouts, idempotency, and checkpoint-based recovery. - Debug and trace graph executions, inspect state, and systematically reproduce production issues. - Instrument graphs with logs, metrics, and traces, deploy to production, and monitor SLAs and costs. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Florida (online or onsite) is designed for beginner to intermediate content creators, writers, and marketers who wish to utilize Claude AI for generating, editing, and summarizing content to enhance blogs, reports, and marketing materials.

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

• Leverage Claude AI for content brainstorming and expanding ideas.
• Improve writing with AI-assisted editing and proofreading.
• Create concise summaries for long-form content and reports.
• Automate the creation of marketing copy for various platforms, enhancing efficiency and consistency in communications for government.

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.

Mistral represents a high-performance suite of large language models specifically engineered to facilitate cost-efficient, scalable production deployment. This instructor-led training, available in online or on-site formats, is designed for advanced infrastructure engineers, cloud architects, and MLOps leads seeking to design, deploy, and optimize Mistral-based architectures for maximum throughput and minimal expenditure. Upon completion, participants will be equipped to: * Implement scalable deployment patterns for Mistral Medium 3. * Apply batching, quantization, and efficient serving strategies. * Optimize inference costs while maintaining performance. * Design production-ready serving topologies for enterprise workloads. **Course Format** * Interactive lecture and discussion. * Numerous exercises and practice. * Hands-on implementation in a live-lab environment. **Course Customization Options** * To request a customized training for this course, please contact us to arrange. This educational program is tailored for government personnel and defense contractors requiring specialized technical expertise in large language model deployment.

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 (online or onsite) is designed for intermediate-level software developers and artificial intelligence engineers who aim to integrate Claude AI into their applications, develop AI-powered chatbots, and enhance software functionality with AI-driven automation for government projects.

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

• Utilize the Claude AI API to seamlessly integrate AI capabilities into their applications.
• Create sophisticated AI-driven chatbots and virtual assistants tailored for specific needs.
• Enhance application performance with advanced AI-powered automation and natural language processing (NLP) techniques.
• Optimize and fine-tune Claude AI models to meet various use cases, ensuring alignment with public sector workflows and governance requirements.

LangGraph is a graph-based orchestration framework designed to enable conditional, multi-step workflows involving language models and tools, making it ideal for automating and personalizing content pipelines. This instructor-led, live training (available online or onsite) is tailored for intermediate-level marketers, content strategists, and automation developers who aim to implement dynamic, branching email campaigns and content generation pipelines using LangGraph. By the end of this training, participants will be able to: - Design graph-structured content and email workflows incorporating conditional logic. - Integrate language models, APIs, and data sources for automated personalization. - Manage state, memory, and context across multi-step campaigns. - Evaluate, monitor, and optimize workflow performance and delivery outcomes. **Format of the Course** - Interactive lectures and group discussions. - Hands-on labs focusing on implementing email workflows and content pipelines. - Scenario-based exercises covering personalization, segmentation, and branching logic. **Course Customization Options for Government** To request a customized training for government agencies, please contact us to arrange.

Le Chat Enterprise is a private ChatOps solution designed to provide secure, customizable, and governed conversational AI capabilities for organizations. It supports role-based access control (RBAC), single sign-on (SSO), connectors, and integrations with enterprise applications. This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who wish to deploy, configure, and govern Le Chat Enterprise in enterprise environments for government use. By the end of this training, participants will be able to: - Set up and configure Le Chat Enterprise for secure deployments. - Enable RBAC, SSO, and compliance-driven controls. - Integrate Le Chat with enterprise applications and data stores. - Design and implement governance and administrative playbooks for ChatOps. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

Devstral is an open-source framework designed for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity. This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level ML engineers, developer-tooling teams, and SREs who wish to design, implement, and optimize coding agents using Devstral for government applications. By the end of this training, participants will be able to: - Set up and configure Devstral for coding agent development. - Design agentic workflows for codebase exploration and modification. - Integrate coding agents with developer tools and APIs. - Implement best practices for secure and efficient agent deployment in alignment with public sector standards. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in [location] (online or onsite) is aimed at beginner-level professionals who wish to integrate Claude AI into their daily workflows to enhance efficiency and automation for government operations. By the end of this training, participants will be able to: - Utilize Claude AI for automating repetitive tasks and streamlining workflows. - Boost personal and team productivity through AI-powered automation. - Integrate Claude AI with existing business tools and platforms used in public sector environments. - Optimize AI-driven decision-making and task management processes.

This instructor-led training, available via Florida (remote or in-person), is designed for intermediate-level professionals seeking to deploy, optimize, and integrate Large Language Models (LLMs) using Ollama. The curriculum is specifically tailored for government agencies and public sector entities requiring robust technical capabilities for government initiatives. Upon completion of this program, participants will be equipped to: * Establish and deploy LLMs utilizing the Ollama platform. * Enhance the performance and efficiency of AI models. * Utilize GPU acceleration to increase inference speeds. * Integrate Ollama into existing operational workflows and applications. * Monitor and sustain AI model performance over time.

LangGraph serves as a framework designed for constructing graph-based workflows utilizing large language models (LLMs), enabling branching logic, tool integration, memory management, and controlled execution. This instructor-led session, available via online or onsite delivery, targets intermediate engineers and product development teams seeking to leverage LangGraph’s logic alongside LLM agent loops. The curriculum focuses on developing dynamic, context-aware applications, including customer support systems, decision trees, and information retrieval infrastructure. Upon completion of this training, participants will be capable of: * Designing graph-based workflows that effectively coordinate LLM agents, external tools, and memory states. * Implementing conditional routing, automated retries, and fallback mechanisms to ensure robust execution. * Integrating retrieval systems, APIs, and structured outputs within agent loops. * Evaluating, monitoring, and securing agent behavior to enhance reliability and safety standards. **Course Format** * Interactive lectures and facilitated discussions. * Guided laboratory exercises and code walkthroughs conducted in a sandbox environment. * Scenario-based design activities and peer review sessions. **Course Customization** To request customized training for this course, please contact us to arrange the necessary accommodations. This instructional approach is tailored for government entities seeking specialized technical capacity building.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level data scientists, AI developers, and AI enthusiasts who aim to utilize large language models (LLMs) to perform various natural language processing tasks and create innovative and diverse content for different applications. By the end of this training, participants will be able to: - Set up a development environment with LLMs and essential tools. - Proficiently execute natural language understanding (NLU) and natural language inference (NLI) tasks using LLMs. - Effectively extract, infer, and utilize knowledge graphs. - Generate and manage dialogues with LLMs for conversational applications. - Assess the quality and diversity of content generated by LLMs and generative AI. - Apply ethical principles to ensure fairness and responsible use of LLMs, aligning with standards for government.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who aim to enhance their natural language processing (NLP) projects through the effective fine-tuning of pre-trained language models. By the end of this training, participants will be able to: - Understand the core principles of fine-tuning for NLP tasks. - Fine-tune pre-trained models such as GPT, BERT, and T5 for specific NLP applications relevant to their work. - Optimize hyperparameters to achieve enhanced model performance. - Evaluate and deploy fine-tuned models in real-world scenarios, ensuring alignment with public sector workflows and governance standards for government.

LangGraph serves as a robust framework for developing graph-structured large language model applications that facilitate planning, branching, tool utilization, memory management, and controlled execution. This instructor-led, live training, available in online or onsite formats, is designed for beginner-level developers, prompt engineers, and data practitioners seeking to design and construct reliable, multi-step LLM workflows using LangGraph. Upon completion of this instruction, participants will be equipped to: * Articulate fundamental LangGraph concepts, including nodes, edges, and state, and determine appropriate application scenarios. * Develop prompt chains capable of branching logic, invoking tools, and retaining context. * Incorporate retrieval mechanisms and external APIs into graph-based workflows. * Conduct testing, debugging, and evaluation of LangGraph applications to ensure operational reliability and safety standards. **Training Format** * Interactive lectures and facilitated discussions. * Guided laboratory exercises and code walkthroughs within a sandbox environment. * Scenario-based exercises focused on design, testing, and evaluation methodologies. **Customization Options** For government entities requiring tailored instruction, please contact the provider to arrange customized training services.

Mistral Medium 3 is a high-performance, multimodal large language model designed for production-grade deployment across enterprise and government environments.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced AI/ML engineers, platform architects, and MLOps teams who wish to deploy, optimize, and secure Mistral Medium 3 for government use cases.

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

• Deploy Mistral Medium 3 using API and self-hosted options.
• Optimize inference performance and costs.
• Implement multimodal use cases with Mistral Medium 3.
• Apply security and compliance best practices for enterprise and government environments.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

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.

This module examines the foundational principles of artificial intelligence and their impact on digital strategy, automation, and enterprise decision-making. It provides a comprehensive overview of core concepts, including the evolution of AI, problem-solving frameworks, knowledge representation, probabilistic reasoning, and machine learning methodologies, alongside capabilities related to communication, perception, and autonomous operations. Designed for government executives and technical architects, this content enables the evaluation of AI-driven transformation initiatives, the assessment of emerging technology trends, and the implementation of practical intelligent solutions to enhance operational agility.

This two-day professional training program is designed for software developers who currently utilize AI-driven coding platforms, such as Cursor, Claude Code, or Copilot. The curriculum addresses key competencies including the delegation of comprehensive tasks to autonomous agents, the construction of a personalization stack comprising Rules, AGENTS.md configurations, Skills, and Model Context Protocol (MCP) servers, as well as the implementation of parallel agent execution and structured agentic workflows. Designed with a tool-agnostic approach, this content serves as a follow-on to the Foundations course and is specifically developed for government personnel seeking to enhance technical capabilities within federal IT operations.

This two-day foundational curriculum provides government personnel with an introduction to artificial intelligence-assisted software development, specifically designed for individuals who are new to these technologies or have limited coding experience. The program elucidates the operational mechanisms of AI tools, instructs participants on effective prompt engineering techniques, and demonstrates practical applications for standard development tasks such as constructing projects from the ground up, navigating existing codebases, and evaluating output accuracy. This tool-agnostic content applies broadly to platforms such as Cursor, Claude Code, and GitHub Copilot. Designed as a precursor to the Agentic AI Development: Advanced Workflows course, this training supports federal workforce capabilities for government initiatives by establishing core competencies in modern software engineering workflows.

This two-phase training initiative is tailored for software delivery units seeking to incorporate AI-driven engineering processes into their routine operations through the utilization of Claude Code, a solution developed specifically for government applications.

Artificial intelligence training covers data analysis, distributed AI, and natural language processing, aiming to provide developers and data scientists with applied technologies for building large-scale AI systems. The course content includes core principles of distributed machine learning, Apache Spark MLlib, and prediction based on MapReduce, and delves into practical methods for recommendation engines, text classification, semantic analysis using Word2Vec, and RNN-LSTM architectures. This course helps professionals deploy production-ready AI pipelines that transform raw data into automated decision-making capabilities.

This instructor-led session, available online or on-site at Florida, is designed for senior executives seeking to utilize Claude as a strategic instrument. The program focuses on leveraging artificial intelligence to improve executive decision-making, streamline planning processes, and establish competitive advantages through AI-augmented leadership practices tailored for government initiatives.

This comprehensive two-day instructional program is tailored for professionals seeking to elevate their use of artificial intelligence from informal assistance to a foundational component of their digital workflow. The curriculum integrates strategic frameworks consistent with the projected 2026 AI landscape with extensive practical application, including nine hands-on exercises designed to address specific organizational challenges. The first day consists of in-person training focused on proficiency within the Anthropic ecosystem. Key topics include advanced prompt engineering, customization of user profiles through specific instruction sets, and the utilization of persistent workspaces—such as Projects, Artifacts, and Skills—to maintain and retrieve institutional knowledge effectively. The second day is conducted virtually and addresses automation capabilities and ecosystem interoperability. Participants will learn to execute background processes using Cowork features, navigate the Model Context Protocol (MCP) environment, and achieve native integration with Microsoft 365 applications, including Word, Excel, PowerPoint, Teams, SharePoint, and OneDrive. This structured approach ensures that training content is rigorously evaluated for its utility **for government** operations, ensuring alignment with federal efficiency and security standards.

Claude Code functions as a terminal-native development agent rather than a simple code-completion utility. By analyzing the codebase, planning multi-step modifications, executing tests, and translating single instructions into operational outcomes, it streamlines complex workflows. This one-day workshop provides structured, hands-on training for federal practitioners on configuring the platform for official projects, crafting delegations that yield reviewable outputs, leveraging CLAUDE.md for persistent project context, and integrating internal tools through the Model Context Protocol. Designed for government use, this session ensures participants can effectively apply these capabilities to support agency objectives with precision and accountability.

This instructor-led, live training in Florida is designed for intermediate-level software developers who aim to transition a concept into a fully deployed, production-grade application using Claude Code. Upon completion of this program for government and related sectors, participants will possess the following capabilities:

• Configure Claude Code and direct its operations effectively via a CLAUDE.md configuration file.
• Establish application scaffolding and integrate content management systems (CMS) with data sources.
• Implement testing protocols and execute quality assurance procedures using subagents.
• Deploy automated workflows to Vercel or Cloud Run environments.

This instructor-led, live training, available online or at Florida, is designed for software developers and engineering teams seeking to accelerate development cycles, enhance code quality, and automate repetitive programming tasks using Claude Code. Upon completion, participants will be capable of installing and configuring Claude Code, editing multi-file codebases using natural language, leveraging approval modes, and integrating with Git and CI/CD for government

Natural Language Processing facilitates the conversion of unstructured textual data into actionable intelligence, allowing systems to interpret human language effectively. This curriculum examines core methodologies, including corpus analysis, syntactic parsing, text preprocessing workflows, and dimensionality reduction via Singular Value Decomposition and Non-negative Matrix Factorization. Participants will engage in practical applications such as document clustering, topic modeling, sentiment analysis, named entity recognition, and Latent Dirichlet Allocation using Python. The program prepares professionals to develop robust text analytics solutions for automated content classification and information retrieval, tailored for government use.

Ollama provides an open-source solution for executing large language models on both consumer-grade and enterprise infrastructure. By consolidating model quantization, graphics processing unit resource allocation, and API service delivery into a unified command-line interface, this platform enables federal agencies to deploy proprietary models—such as Llama, Mistral, and Qwen—independently. This capability supports secure data handling protocols by allowing organizations to operate these technologies for government use without transmitting sensitive information or query prompts to external commercial providers like OpenAI, Anthropic, or Google.