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AI+ Network™
AT-510
Master the Future of Networking: Harness AI for Automation, Security, and Next-Generation EfficiencyThis 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.
Buy Exam Bundle Download Blueprint Find a Training Partner Download Executive SummaryPrerequisites
- 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.
Modules
7
Examination
1
50 MCQs
90 Minutes
Passing Score
70%
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
- 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
Certification Modules
- 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
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.
Hear it from the Learners
Marc H
Happy to share I've completed the AI+ Executive Certification from AI CERTs! This program has sharpened my skills in strategic AI application + implementation, further equipping me to lead AI-driven organizational transformation.
Georgia L
As VP Operations, my recent completion of the AI+ Executive exam through AI CERTs was a pivotal step in advancing my AI skill set as we embrace an AI-driven future. This certification not only deepened my understanding of AI's broad impact across various divisions but also equipped me with the tools to make informed, strategic decisions.
Antonio C
AI+ Executive™ Instructor Guide Certificate. Today, I am part of the team of #CompuEducación instructors to teach the #AI CERTs AI+Executive certification course . This 8-hour course is a new standard for business leaders who want to start a solid path in the adoption of AI for the transformation of their companies. The technological, business, ethical, legal and strategy foundations are covered. The examples of using “AI” are practical, up-to-date, and touch on the different variants of “AI.”
Doug F
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