Build job-ready skills with our Classroom and Online AI Agent Development Training at WebAsha Technologies. The classes are hands-on and built around getting you hired.
Training overview:
This is a hands-on, job-oriented program on building AI agents, which are LLM-powered systems that reason, use tools and act on their own. It covers agent concepts and the ReAct pattern, tool and function calling, memory, planning, building agents with LangChain, LangGraph and the OpenAI Agents SDK, multi-agent systems, the Model Context Protocol (MCP), and deploying agents, all through real projects.
Who it is for:
The course suits developers and AI practitioners who want to build autonomous, tool-using AI agents and move into agentic AI, a field that is growing fast.
Topics covered:
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Agent concepts: Reason, act, observe.
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ReAct pattern: Thinking and acting.
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Tools & function calling: Giving agents abilities.
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Memory: Context and state.
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Planning: Decomposing tasks.
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Agent frameworks: LangChain, LangGraph, Agents SDK.
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MCP: Connecting tools and data.
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Multi-Agent: Agents that collaborate.
Requirements:
Basic computer familiarity is recommended. Online participants need a stable internet connection and a laptop/desktop for the live labs.
Prerequisites:
Basic Python knowledge helps, and so does some familiarity with LLMs (our Generative AI course covers this). The course teaches agents from the fundamentals.
Career benefits:
Agent development is a well-paid AI skill. In India, AI agent developers typically earn ₹6 LPA to ₹42+ LPA.