Agentic AI
AI/MLAgentic AI refers to LLM-based systems that take actions in the world — calling APIs, browsing the web, executing code, sending emails — rather than just generating text. Frameworks: LangChain, LangGraph, CrewAI, AutoGen. Agentic AI is the 2026 hiring frontier.
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A simple LLM chat is reactive — you ask, it answers. An agentic system is autonomous — it can plan multiple steps, use tools (calculator, web search, code execution), observe results, and iterate until a goal is achieved.
Examples: an AI customer-support agent that looks up your order, processes a refund, and emails confirmation. An AI research assistant that browses 10 sources and synthesises a report. An AI code-fix bot that reads error logs, edits files, and runs tests.
MITS Academy's GenAI programme covers agentic AI with CrewAI, LangGraph, and production deployment patterns.