LangGraph introduces order to the complexity of AI agents, transforming loosely linked models into coordinated systems capable of reasoning, acting, and adapting.
Instead of treating prompts as standalone instructions, LangGraph training courses demonstrate how to design workflows where agents collaborate, retain context, and make decisions across dynamic tasks.
Participants engage in live, instructor-led sessions that prioritise interactive, hands-on practice — whether virtually via an interactive remote desktop or in-person at Nepal with support from seasoned trainers.
Onsite live training can also be conducted at your premises in Nepal or at NobleProg corporate training centres, providing teams with a dedicated space to explore agentic AI in a focused setting.
Also known as the LangChain Graph Framework, LangGraph is rapidly becoming the foundation for multi-agent applications, offering developers and innovators a route to build AI systems that behave less like tools and more like collaborators.
NobleProg — Your Local Training Provider
Nepal, Kathmandu - Classroom
near Soaltee, Tahachal Marg, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Tahachal Marg with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Nepal, Thamel, KTM - Classroom
near Radisson , Ward 2, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Thamel, with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
LangGraph serves as a framework for constructing stateful, multi-actor LLM applications through composable graphs, enabling persistent state management and precise control over execution flow.
This instructor-led live training, available online or on-site, targets intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based legal solutions, ensuring necessary compliance, traceability, and governance controls.
Upon completion of this training, participants will be equipped to:
Design LangGraph workflows tailored for legal requirements that maintain auditability and compliance.
Integrate legal ontologies and document standards into graph states and processing logic.
Implement guardrails, human-in-the-loop approval mechanisms, and traceable decision paths.
Deploy, monitor, and maintain LangGraph services in production environments with robust observability and cost management.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical sessions.
Hands-on implementation within a live laboratory environment.
Customization Options
For customized training arrangements, please reach out to us to coordinate.
LangGraph serves as a framework for constructing stateful, multi-agent LLM applications through composable graphs, enabling persistent state management and precise execution control.
This instructor-led live training, available online or onsite, targets intermediate to advanced professionals seeking to design, implement, and manage finance solutions based on LangGraph, ensuring proper governance, observability, and compliance.
Upon completion of this training, participants will be able to:
Develop finance-specific LangGraph workflows that align with regulatory and audit requirements.
Integrate financial data standards and ontologies into graph states and tooling.
Implement reliability, safety, and human-in-the-loop controls for critical operations.
Deploy, monitor, and optimize LangGraph systems to enhance performance, manage costs, and meet SLAs.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live laboratory environment.
Customization Options
To request custom training for this course, please contact us to arrange.
LangGraph facilitates stateful, multi-actor workflows driven by LLMs, offering precise control over execution paths and state persistence. In the healthcare sector, these features are vital for ensuring compliance, enabling interoperability, and developing decision-support systems that align with medical workflows.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges.
Upon completion of this training, participants will be able to:
Design healthcare-specific LangGraph workflows with a focus on compliance and auditability.
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 constructing stateful, multi-actor LLM applications as composable graphs, featuring persistent state and precise control over execution.
This instructor-led, live training (available online or onsite) is tailored for advanced-level AI platform engineers, AI DevOps professionals, and ML architects who aim to optimize, debug, monitor, and manage production-grade LangGraph systems.
By the conclusion of this training, participants will be able to:
Design and optimize complex LangGraph topologies to enhance speed, reduce costs, and ensure scalability.
Engineer reliability by implementing retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
Debug and trace graph executions, inspect state data, and systematically reproduce production issues.
Instrument graphs with logs, metrics, and traces; deploy to production environments; and monitor SLAs and costs.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live-lab environment.
Customization Options
To request customized training for this course, please contact us to arrange.
LangGraph serves as a graph-based orchestration framework that facilitates conditional, multi-step workflows involving Large Language Models (LLMs) and tools, making it ideally suited for automating and personalizing content pipelines.
This instructor-led live training, available either online or at the participant's site, targets intermediate-level marketers, content strategists, and automation developers looking to build dynamic, branching email campaigns and content generation pipelines using LangGraph.
Upon completing this training, participants will be capable of:
Designing graph-structured workflows for email and content that incorporate conditional logic.
Integrating LLMs, APIs, and various data sources to achieve automated personalization.
Managing state, memory, and context across complex, multi-step marketing campaigns.
Evaluating, monitoring, and optimizing the performance and delivery outcomes of these workflows.
Course Format
Interactive lectures paired with group discussions.
Practical, hands-on labs focused on implementing email workflows and content pipelines.
Scenario-based exercises covering personalization, segmentation, and branching logic.
Customization Options
For those interested in tailored training for this course, please get in touch with us to arrange a customized schedule.
LangGraph serves as a framework designed for composing graph-structured workflows involving Large Language Models (LLMs), enabling capabilities such as branching logic, tool utilization, memory management, and controllable execution.
This instructor-led live training, available both online and onsite, targets intermediate-level engineers and product teams aiming to merge LangGraph’s graph-based logic with LLM agent loops. The objective is to develop dynamic, context-aware applications, including customer support agents, decision trees, and information retrieval systems.
Upon completing this training, participants will be equipped to:
Design graph-based workflows that effectively coordinate LLM agents, tools, and memory.
Implement conditional routing, retries, and fallback mechanisms to ensure robust execution.
Integrate retrieval processes, APIs, and structured outputs into agent loops.
Evaluate, monitor, and secure agent behavior to guarantee reliability and safety.
Course Format
Interactive lectures coupled with facilitated discussions.
Guided labs and code walkthroughs conducted within a sandbox environment.
Scenario-based design exercises and peer review sessions.
Customization Options for the Course
For requests regarding customized training for this course, please reach out to us to make arrangements.
LangGraph is a framework designed for constructing graph-structured LLM applications, supporting 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.
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 apps 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.
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