Natural Language Processing (NLP) Training in Boston

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.

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.

This instructor-led, live training (online or onsite) is aimed at beginner-level project management and planning professionals who wish to use 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.

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 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.

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 onsite) 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.
• Generate tone-consistent responses and summaries for customer interactions.
• Automate the drafting of service tickets and knowledge retrieval processes.
• 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 within public sector contexts.
• Hands-on use of Claude in a simulated support environment designed for government agencies.

Course Customization Options

• If you need this course 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.

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

After completing this training, attendees will be able to:

• Utilize Claude for ad-hoc exploratory data analysis.
• Generate SQL queries, summaries, and transformations using natural language prompts.
• Design dashboards, KPIs, and analytical views more efficiently with Claude's assistance.
• Interpret business data with enhanced accuracy through structured AI-assisted reasoning.

Format of the Course

• Instructor-led demonstrations and guided discussions.
• Hands-on exercises using real-world business datasets.
• Practical application of Claude within BI-focused scenarios.

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 use.

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 Boston (online or onsite) is designed for intermediate-level researchers, analysts, and knowledge workers who wish to utilize Claude AI for processing large datasets, synthesizing information, and automating research tasks.

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

• Employ Claude AI for comprehensive literature reviews and research synthesis.
• Generate concise summaries of reports, research papers, and extensive documents.
• Identify key insights and trends from both structured and unstructured data.
• Integrate Claude AI into their research and knowledge management workflows for government.

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 (available online or onsite) is designed for government content creators, writers, and marketers at the beginner to intermediate level who wish to leverage Claude AI for generating, editing, and summarizing content to enhance blogs, reports, and marketing materials for government. By the end of this training, participants will be able to: - Utilize Claude AI for content brainstorming and idea expansion. - Improve writing with AI-assisted editing and proofreading. - Generate summaries for long-form content and reports. - Automate the creation of marketing copy for various platforms.

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 is a high-performance family of large language models optimized for cost-effective production deployment at scale.

This instructor-led, live training (online or onsite) is aimed at advanced-level infrastructure engineers, cloud architects, and MLOps leads who wish to design, deploy, and optimize Mistral-based architectures for maximum throughput and minimum cost, specifically tailored for government applications.

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

• Implement scalable deployment patterns for Mistral Medium 3 in a government context.
• Apply batching, quantization, and efficient serving strategies to meet public sector requirements.
• Optimize inference costs while maintaining performance for government workloads.
• Design production-ready serving topologies for enterprise and government workloads.

Format of the Course

• Interactive lecture and discussion tailored to public sector needs.
• Lots of exercises and practice relevant to government operations.
• Hands-on implementation in a live-lab environment designed for government use cases.

Course Customization Options

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

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. By the end of this training, participants will be able to: - Utilize the Claude AI API to incorporate AI into applications. - Create AI-driven chatbots and virtual assistants. - Augment applications with AI-powered automation and natural language processing. - Optimize and fine-tune Claude AI models for various use cases, ensuring they align effectively with public sector workflows and governance standards for government.

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, 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.

LangGraph is a framework designed for composing graph-structured workflows that support branching, tool use, memory, and controllable execution. This instructor-led, live training (available online or on-site) is targeted at intermediate-level engineers and product teams who wish to integrate LangGraph’s graph logic with LLM agent loops to develop dynamic, context-aware applications such as customer support agents, decision trees, and information retrieval systems for government. By the end of this training, participants will be able to: - Design graph-based workflows that coordinate LLM agents, tools, and memory. - Implement conditional routing, retries, and fallbacks to ensure robust execution. - Integrate retrieval mechanisms, APIs, and structured outputs into agent loops. - Evaluate, monitor, and enhance agent behavior for reliability and safety. **Format of the Course** - Interactive lecture and facilitated discussion. - Guided labs and code walkthroughs in a sandbox environment. - Scenario-based design exercises and peer reviews. **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 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.

This instructor-led, live training (available online or onsite) is designed for data scientists, machine learning engineers, natural language processing (NLP) researchers, and AI enthusiasts who wish to gain a deep understanding of the inner workings of GPT models. Participants will explore the capabilities of GPT-3 and GPT-4 and learn how to effectively leverage these models for their NLP tasks. By the end of this training, participants will be able to: - Understand the key concepts and principles underlying Generative Pre-trained Transformers. - Comprehend the architecture and training processes of GPT models. - Utilize GPT-3 for a variety of tasks, including text generation, completion, and translation. - Explore the latest advancements in GPT-4 and its potential applications. - Apply GPT models to their own NLP projects and tasks, ensuring alignment with public sector workflows and governance standards for government.

This instructor-led, live training in [location] (online or onsite) is designed for beginner-level business professionals, customer support teams, and tech enthusiasts who wish to understand the fundamentals of Claude AI and apply it for government and business applications. By the end of this training, participants will be able to: - Comprehend Claude AI’s capabilities and use cases. - Set up and interact with Claude AI effectively. - Automate workflows using conversational AI. - Enhance customer engagement and support through AI-driven solutions.

LangGraph is a framework designed for building graph-structured LLM applications that support planning, branching, tool use, memory, and controllable execution. This instructor-led, live training (available online or onsite) is aimed at beginner-level developers, prompt engineers, and data practitioners who wish to design and build reliable, multi-step LLM workflows using LangGraph for government. By the end of this training, participants will be able to: - Explain core LangGraph concepts (nodes, edges, state) and when to use them. - Build prompt chains that branch, call tools, and maintain memory. - Integrate retrieval and external APIs into graph workflows. - Test, debug, and evaluate LangGraph applications for reliability and safety. **Format of the Course:** - Interactive lecture and facilitated discussion. - Guided labs and code walkthroughs in a sandbox environment. - Scenario-based exercises on design, testing, and evaluation. **Course Customization Options:** - To request a customized training for this course, please contact us to arrange.

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.

It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously contribute to this growing body of data.

This instructor-led, live course focuses on extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements.

By the end of this training, participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on their significance, enhancing decision-making processes for government.

Format of the Course

• Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding

This course has been designed for government managers, solutions architects, innovation officers, CTOs, software architects, and any other professionals interested in gaining an overview of applied artificial intelligence and the near-term forecast for its development for government.

Artificial Intelligence (AI) is a suite of technologies designed to develop intelligent systems capable of comprehending data and related activities to make informed decisions. For government and telecom providers, integrating AI into applications and services can significantly enhance operations and service delivery in areas such as maintenance and network optimization. This course delves into the various components that constitute AI and the expertise necessary to effectively deploy these technologies. Throughout the course, we will explore specific applications of AI within the telecom industry. **Audience** - Network engineers - Network operations personnel - Telecom technical managers **Format of the Course** - Combination of lectures, discussions, and hands-on exercises

This course is aimed at developers and data scientists who wish to understand and implement artificial intelligence in their applications. Special focus will be given to data analysis, distributed artificial intelligence, and natural language processing.

Chatbots are computer programs designed to simulate human responses through chat interfaces. These tools enhance operational efficiency by providing swift and convenient interaction options for users. In this instructor-led, live training, participants will learn how to develop chatbots using Python. By the end of this training, participants will be able to: - Understand the foundational principles of building chatbots. - Construct, test, deploy, and troubleshoot various chatbot applications using Python. **Audience** - Developers **Format of the Course** - A combination of lectures, discussions, practical exercises, and extensive hands-on practice. **Note** - To request a customized training for government or other specific needs, please contact us to arrange.

In this instructor-led, live training session, participants will learn to utilize Python libraries for natural language processing (NLP) as they develop an application that processes a set of images and generates descriptive captions. By the end of this training, participants will be able to: - Design and code deep learning models for NLP using Python libraries. - Create Python scripts that analyze a large collection of images and extract relevant keywords. - Develop Python code that generates coherent captions based on the identified keywords. This training is designed to enhance technical skills in data processing and machine learning, specifically tailored for government applications.

This training session, designed for government personnel, will delve into natural language processing (NLP) techniques alongside the application of artificial intelligence (AI) and robotics in public sector operations. Participants will engage in computer-based exercises and case studies, utilizing Python to solve practical problems relevant to government workflows.

This instructor-led, live training (online or onsite) is designed for developers and data scientists who wish to utilize spaCy to process large volumes of text to identify patterns and derive insights. By the end of this training, participants will be able to: - Install and configure spaCy. - Understand spaCy’s approach to Natural Language Processing (NLP). - Extract patterns and gain business insights from extensive data sources. - Integrate the spaCy library with existing web and legacy applications. - Deploy spaCy in live production environments to predict human behavior. - Use spaCy to pre-process text for Deep Learning. **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 tailored to government needs, please contact us to arrange. - For more information about spaCy, visit: https://spacy.io/

In Python Machine Learning, the Text Summarization feature can process input text to generate a concise summary. This functionality is accessible both from the command line and as a Python API/library. One significant application for government is the rapid creation of executive summaries, which is particularly useful for organizations that need to review large volumes of text data before generating reports and presentations. This instructor-led, live training will guide participants in using Python to develop a simple application that automatically generates a summary of input text. By the end of this training, participants will be able to: - Utilize a command-line tool for summarizing text. - Design and implement Text Summarization code using Python libraries. - Evaluate three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, readless 1.0.17. **Audience** - Developers - Data Scientists **Format of the Course** - Part lecture, part discussion, exercises, and extensive hands-on practice

TensorFlow™ is an open-source software library designed for numerical computation using data flow graphs.

SyntaxNet is a neural-network framework for natural language processing that operates within TensorFlow.

Word2Vec is a method used to learn vector representations of words, known as "word embeddings." Word2Vec is particularly efficient in learning these embeddings from raw text and offers two models: the Continuous Bag-of-Words (CBOW) model and the Skip-Gram model (as detailed in Chapter 3.1 and 3.2 of Mikolov et al.).

When used together, SyntaxNet and Word2Vec enable the generation of learned embedding models from natural language input.

Audience

This course is designed for developers and engineers who intend to work with SyntaxNet and Word2Vec models within their TensorFlow graphs for government applications.

After completing this course, participants will:

• Understand TensorFlow’s structure and deployment mechanisms
• Be capable of performing installation, production environment setup, architectural tasks, and configuration
• Be able to evaluate code quality, perform debugging, and monitoring
• Be proficient in implementing advanced production tasks such as training models, embedding terms, building graphs, and logging