We are entering the “Agentic Era.” For years, AI was passive—it only responded when spoken to. Agentic AI changes this by introducing Autonomous Agents.
How Agentic Systems Work
Unlike a standard chatbot, an Agentic system operates on a “Reasoning Loop.” It breaks down a complex goal (e.g., “Research this company and write a risk report”) into smaller sub-tasks. It then uses tools—Python scripts, web searchers, or SQL queries—to execute those tasks.
Key Frameworks You’ll Learn
At NearLearn, we focus on the frameworks that define this space:
- CrewAI: For orchestrating “crews” of agents that work together.
- AutoGPT: For long-term task execution.
LangGraph: For building complex, stateful agentic workflows that can handle loops and decision-making.
Check Our Courses : Data Science Classroom Training, Python Classroom Training, Machine Learning Course , Deep Learning Course , AI-Deep Learning using TensorFlow , AI Full Stack Online Course , Cyber Security Course in Bangalore , Core Ai Training , Digital Marketing Training , Power BI Training in Bangalore , React Js Training , Devops Training in Bengalore , Microsoft sql Training .