LangChain Training in Michigan

This instructor-led, live training (online or onsite) is designed for advanced-level AI researchers and policy makers who wish to explore the ethical implications of AI development and learn how to apply ethical guidelines when building AI solutions with LangChain. By the end of this training, participants will be able to: - Identify key ethical issues in AI development using LangChain. - Understand the impact of AI on society and decision-making processes for government. - Develop strategies for building fair and transparent AI systems. - Implement ethical AI guidelines into LangChain-based projects.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level web developers and UX designers who wish to leverage LangChain to create intuitive and user-friendly web applications for government use. By the end of this training, participants will be able to: - Understand the fundamental concepts of LangChain and its role in enhancing web user experience. - Implement LangChain in web applications to create dynamic and responsive interfaces. - Integrate APIs into web applications to improve interactivity and user engagement. - Optimize user experience using LangChain’s advanced customization features. - Analyze user behavior data to fine-tune web application performance and experience.

This instructor-led, live training (available online or on-site) is designed for beginner-level business analysts and automation engineers who wish to learn how to use LangChain and APIs for automating repetitive tasks and workflows for government. By the end of this training, participants will be able to: - Understand the fundamentals of API integration with LangChain. - Automate repetitive workflows using LangChain and Python. - Utilize LangChain to connect various APIs for more efficient business processes. - Develop and automate custom workflows using APIs and LangChain’s automation capabilities.

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.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level data professionals who wish to utilize LangChain to enhance their data analysis and visualization capabilities. By the end of this training, participants will be able to: - Automate data retrieval and cleaning processes using LangChain. - Perform advanced data analysis with Python and LangChain. - Generate visualizations using Matplotlib and other Python libraries integrated with LangChain. - Utilize LangChain for generating natural language insights from data analysis, ensuring alignment with public sector workflows and governance standards for government.

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.

This instructor-led, live training (online or onsite) is designed for advanced-level data engineers and DevOps professionals who aim to leverage LangChain's capabilities by integrating it with various cloud services. The training aligns with the needs of government agencies and private sector organizations. By the end of this training, participants will be able to: - Integrate LangChain with major cloud platforms such as AWS, Azure, and Google Cloud for government applications. - Utilize cloud-based APIs and services to enhance the functionality of LangChain-powered applications. - Scale and deploy conversational agents to the cloud for real-time interaction, ensuring they meet the demands of public sector workflows. - Implement monitoring and security best practices in cloud environments to ensure compliance with governance and accountability standards.

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 [location] (online or onsite) is aimed at intermediate-level professionals who wish to deepen their understanding of conversational agents and apply LangChain to real-world use cases for government. By the end of this training, participants will be able to: - Understand the fundamentals of LangChain and its application in building conversational agents. - Develop and deploy conversational agents using LangChain. - Integrate conversational agents with APIs and external services. - Apply Natural Language Processing (NLP) techniques to enhance the performance of conversational agents.

This instructor-led, live training in [location] (online or onsite) is designed for government developers and IT professionals of all skill levels who wish to automate tasks and processes using artificial intelligence without writing extensive code. By the end of this training, participants will be able to: - Design and implement complex workflows using n8n's visual programming interface. - Integrate AI capabilities into workflows using LangChain. - Build custom chatbots and virtual assistants for various use cases. - Perform advanced data analysis and processing with AI agents.

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.

This instructor-led, live training in Michigan (online or onsite) is aimed at beginner to intermediate developers and software engineers who wish to learn the core concepts and architecture of LangChain and acquire the practical skills for building AI-powered applications for government. By the end of this training, participants will be able to: - Understand the fundamental principles of LangChain. - Set up and configure the LangChain environment. - Comprehend the architecture and how LangChain interacts with large language models (LLMs). - Develop simple applications using LangChain.

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 (online or onsite) is designed for intermediate-level developers and software engineers who wish to develop AI-powered applications using the LangChain framework. By the end of this training, participants will be able to: - Understand the foundational principles of LangChain and its key components. - Integrate LangChain with large language models (LLMs), such as GPT-4. - Construct modular AI applications utilizing LangChain. - Address common issues that may arise in LangChain applications. This training is tailored to enhance skills for government professionals, ensuring they are well-equipped to leverage advanced technologies in their workflows.

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.