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

• 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).

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

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

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

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

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

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

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)

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

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