LangGraph brings structure to the chaos of AI agents, turning loosely connected models into orchestrated systems that can reason, act, and adapt.
Instead of treating prompts as isolated commands, LangGraph training courses show how to design flows where agents collaborate, remember, and make decisions across evolving tasks.
Participants work in live, instructor-led sessions that emphasize interactive, hands-on practice — whether online through an interactive remote desktop or onsite in Kathmandu with the support of experienced trainers.
Onsite live training can also be held at customer premises in Kathmandu or at NobleProg corporate training centers, giving teams the space to experiment with agentic AI in a focused environment.
Also known as the LangChain Graph Framework, LangGraph is quickly becoming the backbone of multi-agent applications, offering developers and innovators a pathway to build AI systems that behave less like tools and more like collaborators.
NobleProg — Your Local Training Provider
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.
Thamel 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.
Master LangGraph for legal applications with this 35-hour instructor-led training in Kathmandu. Ideal for intermediate to advanced professionals, this course covers workflow design, compliance controls, and human-in-the-loop approvals. Build auditable, production-ready LLM solutions with confidence.
This instructor-led training in Kathmandu equips professionals to design LangGraph-based finance solutions. Participants learn to implement workflows aligned with regulatory requirements, integrate data standards, and deploy systems with strong governance, observability, and compliance controls.
Explore LangGraph for healthcare with this live training in Kathmandu, tailored for intermediate to advanced professionals. Learn to design stateful, compliant workflows, integrate standards like FHIR and SNOMED CT, and address ethical, operational challenges in regulated environments.
This instructor-led, live training in Kathmandu targets advanced AI platform engineers, DevOps for AI, and ML architects seeking to optimize, debug, monitor, and operate production-grade LangGraph systems for stateful, multi-actor LLM applications as composable graphs.
This instructor-led training in Kathmandu introduces LangGraph for marketing automation. Participants learn to design conditional content workflows, integrate LLMs for personalized email campaigns, and manage state across multi-step pipelines, gaining practical skills for modern marketing.
This live, online or onsite course in Kathmandu guides intermediate engineers through building dynamic LLM workflows with LangGraph. Learn to design stateful graphs, implement branching logic, and integrate retrieval, APIs, and memory for robust, context-aware applications.
This instructor-led LangGraph Foundations course in Kathmandu equips developers to build graph-based LLM apps. Learn core concepts like nodes and edges, state management, and branching logic. Integrate tools, retrieval, and external APIs, then test and deploy reliable workflows with hands-on labs.
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