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In this course we will build Agentic AI Application with the help of frameworks such as Langflow, Phidata,Langgraph,Autogen

Agentic AI is a type of artificial intelligence (AI) that can act independently and autonomously without constant human supervision. It's also known as AI agents. Agentic AI is considered the next wave of AI, and it's characterized by its ability to: 

Learn and adapt

Agentic AI can learn from experience and feedback, and adapt to changing circumstances. 

Make decisions

Agentic AI can understand the user's goal and the context of the problem, and then make decisions based on that information. 

Solve complex problems

Agentic AI can handle complex tasks and sequences of activities, and can independently search databases or trigger workflows. 

Agentic AI can be used in a variety of industries and applications, including:

Healthcare

AI agents can help doctors analyze medical data, automate administrative tasks, and provide 24/7 support to patients. 

Grid management

Agentic AI can learn to recognize consumption patterns, and can help utility managers and grid operators manage resources autonomously. 

Supply chain management

Agentic AI can predict demand, optimize inventory, and coordinate shipments. 

Manufacturing

Agentic AI can help manufacturing robots respond to unexpected scenarios, such as anomalies on a conveyor belt. 

Finance

Agentic AI can execute trades at high speeds and identify arbitrage opportunities. 

Agentic AI uses a combination of machine learning, natural language processing, and automation technologies.