AI+ Network™
# AT-510
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.
- Certification Duration: 40 hours (5 Days)
Why This Certification Matters
- Comprehensive Knowledge: Covers fundamental networking concepts and advanced AI-driven technologies like SDN and NFV.
- AI-Powered Efficiency: Teaches how AI can optimize network performance, automation, and security.
- Hands-On Experience: Provides practical labs and projects for real-world application of AI in networking.
- Future-Ready Skills: Equips you with the skills to adapt to the rapidly evolving AI-enhanced networking landscape.
- Leadership Opportunities: Prepares professionals for leadership roles in the AI and networking fields.
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).
Exam Policies & Integrity
- Before your exam, you must accept the AI CERTs™ Candidate Agreement. It ensures fairness, transparency, and unbiased certification for all candidates.
- Please review it in advance to understand our exam standards and your responsibilities.
Available Dates
Exam Details
Modules
7
Examination
1
50 MCQs
90 Minutes
Passing Score
70% (35/50)
Recertification Requirements
- AI CERTs requires recertification every year to keep your certification valid. Notifications will be sent three months before the due date, and candidates must follow the steps in the candidate handbook to complete the process.
- Need Help? If you have any questions or need assistance with recertification, please reach out to our support team at support@aicerts.ai
Certification Modules
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
Elastic
Juniper
Netdata
Exam Objectives
- 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.
Career Opportunities Post-Certification
- Median Salaries : $75000
- With AI Skills : $100000
- % Difference : 33.33
AI Network Specialist – A High-Demand Career Path
- As organisations adopt AI-driven networking to improve performance and security, the demand for AI networking specialists is rising. Companies seek professionals who can leverage AI to optimise network traffic, enhance cybersecurity, and drive automation.
- Market Trends:
- AI-powered networks improve operational efficiency by up to 40%.
- Cybersecurity integration with AI networking is a top priority for IT leaders.
- Smart infrastructure and IoT-driven networks are growing, increasing the need for AI-enhanced networking solutions.
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Frequently Asked Questions
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.
