TGM Infotech Pvt. Ltd.
Course Description
Artificial Intelligence is transforming the networking industry. Modern network engineers are using AI-powered tools to automate configurations, troubleshoot issues faster, generate documentation, and improve network management efficiency.
This course is specifically designed for CCNA students, Network Engineers, IT Support Engineers, and Networking Professionals who want to leverage AI in their daily networking tasks.
You will learn how to use AI tools such as ChatGPT, Gemini, Claude, Copilot, and other AI platforms to simplify networking operations, improve productivity, and accelerate troubleshooting.
What You Will Learn
- AI Fundamentals for Network Engineers
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Effective Prompt Engineering for Networking
-
AI-Powered Network Troubleshooting
- Cisco Configuration Generation using AI
-
Network Documentation Automation
-
AI-Assisted Network Design
-
AI for Routing & Switching
-
AI for Network Security
- AI for CCNA Exam Preparation
-
Real-World AI Networking Projects
Pre-Requisites
This course is designed for beginners as well as networking professionals. However, basic networking knowledge will help you get the most out of the course.
Recommended Pre-Requisites
✅ Basic understanding of computer networks
✅ Familiarity with IP Addressing and Subnetting
✅ Basic knowledge of Cisco Networking concepts
✅ Understanding of VLANs, Routing, and Switching fundamentals
✅ Basic computer and internet usage skills
✅ A PC/Laptop with internet connectivity
No Prior AI Knowledge Required
❌ No Artificial Intelligence experience required
❌ No Programming knowledge required
❌ No Automation experience required
❌ No Data Science or Machine Learning background required
Course Curriculum
Module 1: Introduction to AI for Networking
- What is Artificial Intelligence?
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AI in Modern Networking
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Benefits of AI for Network Engineers
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AI Use Cases in Enterprise Networks
-
AI Tools Overview
Module 2: AI Tools for Network Engineers
- ChatGPT for Networking
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Google Gemini for Networking Tasks
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Microsoft Copilot Overview
- Claude AI Overview
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Comparing AI Platforms
-
Selecting the Right AI Tool
Module 3: Prompt Engineering for Network Engineers
Module
- Understanding Prompts
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Writing Effective Networking Prompts
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Configuration-Based Prompts
- Troubleshooting-Based Prompts
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Documentation-Based Prompts
-
Advanced Prompt Techniques
Module
4: AI for Cisco IOS Configuration
Module
- AI-Assisted Cisco Configuration
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VLAN Configuration Generation
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Trunk Configuration Generation
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Inter-VLAN Routing Configuration
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Static Routing Configuration
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OSPF Configuration Generation
- EIGRP Configuration Generation
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NAT Configuration Generation
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DHCP Configuration Generation
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ACL Configuration Generation
- SSH Configuration Generation
Module
5: AI-Powered Network Troubleshooting
Module
- Troubleshooting Methodology
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Analyzing Ping Results
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Traceroute Analysis
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Interface Troubleshooting
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VLAN Troubleshooting
Routing Troubleshooting
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OSPF Troubleshooting
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DHCP Troubleshooting
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NAT Troubleshooting
- ACL Troubleshooting
- AI-Based Root Cause Analysis
Module
6: AI for Network Documentation
Module
- Network Topology Documentation
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Device Inventory Creation
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IP Address Documentation
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Network Diagram Planning
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Standard Operating Procedures (SOP)
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Change Management Documentation
- Troubleshooting Reports
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Network Audit Reports
Module
7: AI for Network Design
Module
- Small Office Network Design
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Enterprise Network Design
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Campus Network Design
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Branch Office Design
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High Availability Design Concepts
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IP Address Planning
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Subnetting Assistance
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Network Upgrade Planning
Module
8: AI for Network Security
Module
- Basic Security Best Practices
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ACL Design Assistance
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Network Hardening Recommendations
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Security Policy Creation
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Threat Analysis
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Log Analysis
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Security Documentation
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Incident Reporting
Module
9: AI for CCNA Exam Preparation
Module
- CCNA Topic Revision
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AI-Based Practice Questions
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Exam Preparation Strategy
- CCNA Lab Assistance
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Packet Tracer Lab Support
Concept Explanation using AI
- Interview Preparation
Module
10: Real-World Networking Projects
- Project 1 => Enterprise VLAN Deployment using AI
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Project 2 =>
OSPF Multi-Router Configuration using AI
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Project 3
=>
Network Troubleshooting Assistant
- Project 4
=>
Network Documentation Automation
- Project 5
=>
CCNA Lab Creation using AI
Career after this Course
The combination of CCNA + AI Skills can significantly increase your productivity and market value in the IT industry. After completing this course, you can pursue the following career paths:
Entry-Level Roles
🔹 Network Support Engineer
🔹 IT Support Engineer
🔹 Help Desk Engineer
🔹 NOC Engineer
🔹 Technical Support Engineer
🔹 Junior Network Administrator
Mid-Level Roles
🔹 Network Engineer
🔹 Network Administrator
🔹 Infrastructure Engineer
🔹 Systems & Network Engineer
🔹 Enterprise Network Engineer
🔹 Network Operations Specialist
AI-Enhanced Networking Roles
🔹 AI-Powered Network Engineer
🔹 Network Automation Engineer
🔹 AI-Assisted Infrastructure Engineer
🔹 Network Documentation Specialist
🔹 Network Operations Automation Engineer
🔹 Intelligent Network Support Engineer
FAQs
This course teaches how to use AI tools like ChatGPT, Gemini, and Copilot to simplify networking tasks, generate Cisco configurations, troubleshoot network issues, create documentation, and improve productivity.
This course is ideal for: CCNA Students | Network Engineers | IT Support Engineers etc.
CCNA Students
Network Engineers
NOC Engineers
IT Support Engineers
System Administrators
Help Desk Professionals
Freshers entering the networking field
No. This course starts from the basics and does not require any previous experience with Artificial Intelligence.
No. Programming is not required. You will learn how to use AI tools effectively through practical networking examples.
No. CCNA certification is not mandatory, but basic networking knowledge is recommended for better understanding.
Yes. You will learn how to generate and validate Cisco IOS configurations for VLANs, Routing, OSPF, ACLs, NAT, DHCP, and more using AI.
Yes. The course includes hands-on demonstrations and practical labs using networking simulators and AI tools.
Yes. You will learn how to use AI for diagnosing network issues, analyzing configurations, identifying root causes, and speeding up troubleshooting processes.
This is a self-study course that includes recorded sessions and study materials.
Yes. Study materials and supporting resources are included with the course.
Yes. A Course Completion Certificate will be provided upon successful completion of the course.
Yes. The course can be accessed on PC, Laptop, Tablet, and Mobile devices.
You will gain practical AI-powered networking skills that can help improve productivity, troubleshooting efficiency, documentation quality, and career growth in networking and IT infrastructure roles.
AI is rapidly transforming IT operations. Learning AI-powered networking techniques can help you work faster, automate routine tasks, improve troubleshooting, and stay competitive in the evolving networking industry.
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