Build job-ready skills with our Classroom and Online LangGraph Training at WebAsha Technologies. It is hands-on, practical and focused on employability.
Training Overview:
is a hands-on, job-oriented program on LangGraph - the framework for building stateful, controllable AI agents and multi-agent systems as graphs. It covers graph-based agent design, nodes, edges and state, conditional and cyclic flows, tools, memory and persistence, human-in-the-loop, multi-agent orchestration, streaming and observability, and deploying agents - preparing you to build reliable, production agentic systems.
Intended Audience:
This course is ideal for AI developers and engineers who want to build reliable, stateful, controllable agents and multi-agent systems for production with LangGraph.
Topics Covered:
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Graph-Based Agents: State machines for AI.
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Nodes & Edges: Building the graph.
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State: Shared, evolving context.
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Conditional & Cyclic Flows: Loops and branches.
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Tools: Actions in the graph.
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Persistence: Checkpointing and memory.
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Human-in-the-Loop: Approvals and control.
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Multi-Agent: Supervisors and teams.
Requirements:
Basic computer familiarity is recommended. Online participants need a stable internet connection and a laptop/desktop for the live labs.
Pre-Requisites:
Basic Python and familiarity with LangChain or LLMs help. Our LangChain and AI Agent Development courses are ideal companions.
Career Benefits:
LangGraph is a premium agentic skill. In India, agentic AI engineers typically earn ₹7 LPA to ₹44+ LPA.