Build job-ready skills with our Classroom and Online AI Agent Development Training at WebAsha Technologies. It is hands-on, practical and focused on employability.
Training Overview:
is a hands-on, job-oriented program on building AI agents - LLM-powered systems that reason, use tools and act autonomously. 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 - with real projects.
Intended Audience:
This course is ideal for developers and AI practitioners who want to build autonomous, tool-using AI agents and move into the fast-growing agentic AI field.
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.
Pre-Requisites:
Basic Python knowledge is helpful, and familiarity with LLMs (or our Generative AI course) is a good companion. The course covers agents from the fundamentals.
Career Benefits:
Agent development is a premium AI skill. In India, AI agent developers typically earn ₹6 LPA to ₹42+ LPA.