AI+ Network™

Master the Future of Networking: Harness AI for Automation, Security, and Next-Generation Efficiency

Este curso proporciona a los profesionales los conocimientos básicos y las habilidades avanzadas necesarias para comprender la combinación de inteligencia artificial y las tecnologías de red actuales. Se discuten conceptos fundamentales de redes, tecnologías más recientes como SDN y NFV, y cómo la IA puede mejorar la eficiencia de la red. Las áreas de enfoque importantes consisten en la automatización de redes impulsada por IA, la orquestación y las actualizaciones de seguridad, combinadas con proyectos prácticos y laboratorios para la implementación en la vida real. La clase termina examinando nuevos desarrollos y
los próximos caminos en redes mejoradas por IA, preparando a los estudiantes para posiciones de liderazgo en este sector en rápida evolución.

Module 1: Networking Foundations

• 1.1 Basic Networking Concepts
• 1.2 Networking Protocols and Standards
• 1.3 Network Infrastructure and Design
• 1.4 Introduction to Network Security

Module 2: Advanced Networking Technologies

• 2.1 Network Virtualization and Cloud Networking
• 2.2 Emerging Network Architectures
• 2.3 Advanced Routing and Switching
• 2.4 Network Storage and Data Centers

Module 3: AI in Networking

• 3.1 Introduction to AI and Machine Learning
• 3.2 AI-Driven Network Optimization
• 3.3 AI for Network Security and Threat Detection
• 3.4 AI-Enhanced Network Management

Module 4: Network Automation and Orchestration

• 4.1 Fundamentals of Network Automation
• 4.2 AI-Driven Network Orchestration
• 4.3 Policy-Driven Network Management
• 4.4 Case Studies in Network Automation

Module 5: AI-Enhanced Network Security

• 5.1 Advanced Threat Detection with AI
• 5.2 Secure Network Design and Architecture
• 5.3 AI for Cybersecurity Intelligence
• 5.4 Ethical Considerations in AI-Driven Security

Module 6: Practical Labs and Hands-On Projects

• 6.1 Network Simulation and Emulation
• 6.2 AI-Driven Network Automation Projects
• 6.3 AI for Network Security Projects
• 6.4 Capstone Project (Using Google Colab and Azure cloud)

Module 7: Emerging Trends and Future Directions

• 7.1 Future of AI in Networking
• 7.2 AI-Powered IoT Networks
• 7.3 Blockchain and AI in Networking
• 7.4 Continuous Learning and Career Development

Optional Module: AI Agents for Network Management

• 1. Understanding AI Agents
• 2. Case Studies
• 3. Hands-On Practice with AI Agents

Tools you will explore

• Elastic
• Juniper
• Netdata

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

Instructor-led OR Self-paced course + Official exam + Digital badge