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Overview Prerequisites Self Study Materials Included Tools What You’ll Learn Course Modules FAQs

What’s Included?

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Prerequisites

    • Basic understanding of networking fundamentals.
    • Familiarity with programming languages such as Python.
    • Fundamental knowledge of AI and machine learning concepts.
    • Experience with network management tools and technologies is a plus.

     

    There are no mandatory prerequisites for certification. Certification is based solely on performance in the examination. However, candidates may choose to prepare through self-study or optional training offered by AI CERTs® Authorized Training Partners (ATPs).

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Insightful audio sessions featuring expert discussions and real-world cases.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

E-Books

Comprehensive digital guides offering in-depth knowledge and learning support.

Module Wise Quizzes

Interactive assessments to reinforce learning and test conceptual clarity.

Additional Resources

Supplementary references and list of tools to deepen knowledge and practical application.

Tools You’ll Master

Elastic

Elastic

Juniper

Juniper

Netdata

Netdata

What You’ll Learn

AI-Powered Network Automation

Ability to design, implement, and manage automated network operations using AI, optimizing efficiency and reducing manual intervention.

AI-Enhanced Network Security

Expertise in utilizing AI to detect and prevent cyber threats, including AI-driven threat intelligence and network monitoring.

Network Optimization through AI

Skills in applying AI and machine learning algorithms to optimize network performance, improving speed, reliability, and scalability.

AI for Incident Response and Cybersecurity Intelligence

Ability to leverage AI for real-time network security incident detection, response, and forensics, enhancing cybersecurity measures.

Course Modules

Module 1: Networking Foundations
  1. 1.1 Basic Networking Concepts
  2. 1.2 Networking Protocols and Standards
  3. 1.3 Network Infrastructure and Design
  4. 1.4 Introduction to Network Security
Module 2: Advanced Networking Technologies
  1. 2.1 Network Virtualization and Cloud Networking
  2. 2.2 Emerging Network Architectures
  3. 2.3 Advanced Routing and Switching
  4. 2.4 Network Storage and Data Centers
Module 3: AI in Networking
  1. 3.1 Introduction to AI and Machine Learning
  2. 3.2 AI-Driven Network Optimization
  3. 3.3 AI for Network Security and Threat Detection
  4. 3.4 AI-Enhanced Network Management
Module 4: Network Automation and Orchestration
  1. 4.1 Fundamentals of Network Automation
  2. 4.2 AI-Driven Network Orchestration
  3. 4.3 Policy-Driven Network Management
  4. 4.4 Case Studies in Network Automation
Module 5: AI-Enhanced Network Security
  1. 5.1 Advanced Threat Detection with AI
  2. 5.2 Secure Network Design and Architecture
  3. 5.3 AI for Cybersecurity Intelligence
  4. 5.4 Ethical Considerations in AI-Driven Security
Module 6: Practical Labs and Hands-On Projects
  1. 6.1 Network Simulation and Emulation
  2. 6.2 AI-Driven Network Automation Projects
  3. 6.3 AI for Network Security Projects
  4. 6.4 Capstone Project (Using Google Colab and Azure cloud)
Module 7: Emerging Trends and Future Directions
  1. 7.1 Future of AI in Networking
  2. 7.2 AI-Powered IoT Networks
  3. 7.3 Blockchain and AI in Networking
  4. 7.4 Continuous Learning and Career Development
Optional Module: AI Agents for Network Management
  1. 1. Understanding AI Agents
  2. 2. Case Studies
  3. 3. Hands-On Practice with AI Agents

Frequently Asked Questions

You’ll gain hands-on experience with AI-powered network security tools and threat detection systems.

This course is beneficial for IT, telecom, and financial sectors where network security is critical.

You’ll receive course materials, case studies, project guidance, and access to an online community of learners.

It’s designed for network engineers, cybersecurity professionals, and AI developers.

You'll learn about AI-driven network anomaly detection, automated network monitoring, and real-time threat mitigation.