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Autonomous systems that can reason, plan, and act to achieve goals
Next Frontier of AI
AI Agents go beyond simple question-answering—they're autonomous systems that can break down complex tasks, use tools, interact with environments, and work toward goals with minimal human intervention. From coding assistants to research agents, they represent the evolution of AI from passive tools to active collaborators.
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Self-directed AI systems
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Agents using external tools
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Agents working together
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Reasoning and Acting
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Long-term context
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Complex task automation
Traditional chatbots respond to prompts. AI agents can plan multi-step actions, use tools like web browsers or APIs, maintain memory across conversations, and even collaborate with other agents. This shift from reactive to proactive AI is enabling new classes of applications—from coding assistants that can debug entire codebases to research agents that can synthesize information from dozens of sources.
Learn to create autonomous AI systems that solve complex problems.