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AI Agent :Beginners guide on Agentic AI CrewAI AutoGen
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
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Agentic AI with Networking is a comprehensive online course designed to help learners understand how autonomous AI agents can transform modern computer networking. Whether you are a student, IT professional, network engineer, or AI enthusiast, this course provides the knowledge and practical skills needed to integrate Agentic AI into networking environments.
The course begins with the fundamentals of networking, covering network architectures, protocols, IP addressing, routing, switching, DNS, DHCP, firewalls, VPNs, and network security. Once you have a solid networking foundation, you will explore the concepts of Agentic AI, including intelligent agents, autonomous decision-making, reasoning, planning, memory, and multi-agent collaboration.
You will learn how AI agents can automate network monitoring, detect faults, optimize traffic, strengthen cybersecurity, and simplify infrastructure management. Through practical demonstrations and hands-on projects, you will build AI-powered networking solutions that interact with APIs, analyze network data, automate repetitive administrative tasks, and respond intelligently to changing network conditions.
The course also introduces cloud-based networking, AI-powered network automation, observability, and modern DevOps practices for managing enterprise-scale infrastructure. You will gain experience using popular AI frameworks and networking tools to create intelligent systems capable of reducing manual effort and improving network performance.
By the end of this course, you will have the confidence to design, develop, and deploy Agentic AI solutions for real-world networking scenarios. Whether your goal is to advance your career in network engineering, AI, cloud computing, or IT automation, this course equips you with the practical skills and industry-relevant knowledge needed to succeed in the rapidly evolving world of intelligent networking.
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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