AI+ Network™
AI+ Network™
Master the Future of Networking: Harness AI for Automation, Security, and Next-Generation Efficiency
This course provides professionals with the basic knowledge and advanced skills needed to understand the combination of artificial intelligence and current networking technologies. It discusses fundamental networking concepts, newer technologies such as SDN and NFV, and how AI can enhance network efficiency. Important focus areas consist of AI-powered network automation, orchestration, and security upgrades, combined with hands-on projects and practical labs for real-life implementation. The class ends by examining new developments and
upcoming pathways in AI-enhanced networking, getting students ready for leading positions in this quickly changing sector.
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).
- 1.1 Basic Networking Concepts
- 1.2 Networking Protocols and Standards
- 1.3 Network Infrastructure and Design
- 1.4 Introduction to Network Security
- 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
- 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
- 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
- 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
- 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)
- 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
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
Elastic
Juniper
Netdata
Passing Score : 70% (35/50)
Number of Multiple Choice Question : 50 MCQs, 90 Minutes
Number of exams required for certification : 1
Exam Blueprint
- Networking Foundations – 13%
- Advanced Networking Technologies – 16%
- AI in Networking – 16%
- Network Automation and Orchestration – 16%
- AI-Enhanced Network Security – 13%
- Practical Labs and Hands-On Projects – 13%
- Emerging Trends and Future Directions – 13%
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.
AI Network Engineer
Responsible for designing, implementing, and maintaining AI-enhanced networks, focusing on automation, orchestration, and performance optimization.
Network Automation Specialist
Focuses on automating network functions using AI technologies, reducing manual intervention and improving network efficiency.
IOT and AI Network Specialist
Works on integrating AI with IoT networks, ensuring efficient data flow, security, and scalability in interconnected environments.
AI Network Operations Manager
Leads the management and monitoring of AI-driven network operations, ensuring high performance, minimal downtime, and rapid response to issues.
FAQ
What practical skills will I gain?
You’ll gain hands-on experience with AI-powered network security tools and threat detection systems.
What industries are suitable for AI+ Network™ professionals?
This course is beneficial for IT, telecom, and financial sectors where network security is critical.
What resources will I get access to?
You’ll receive course materials, case studies, project guidance, and access to an online community of learners.
Who should enroll in this course?
It’s designed for network engineers, cybersecurity professionals, and AI developers.
What will I learn from AI+ Network™ Certification?
You’ll learn about AI-driven network anomaly detection, automated network monitoring, and real-time threat mitigation.
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