AI+ Network™ - eLearning (exam included)
448,00 EUR
- 40 hours
This certification provides an in-depth study of networking, combining foundational concepts with advanced applications through the use of Artificial Intelligence (AI), automation, and emerging technologies. You’ll develop a solid understanding of key networking principles such as LAN, WAN, and network security, while also exploring advanced areas like 5G, IoT networking, and cloud-based systems. Hands-on labs and practical projects ensure you can apply these skills in real-world scenarios, enhancing both your theoretical knowledge and technical proficiency.
Key Features
Language
Course and material in English
Level
Beginner - Intermediate level (Category: AI+ Technical)
1 year platform access
and Virtual Hands-on Lab included
40 hours of video lessons & multimedia
50 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included. Valid for 1 year
Tools You’ll Master
Secureframe, LeewayHertz, Securiti, Scytale

About the course
Lead the Future of Networking: Leverage AI for Automation, Security, and Advanced Performance
Emphasizing AI-driven solutions, the program prepares you to optimize network performance, strengthen security, and manage automation using tools like TensorFlow, Kubernetes, and Azure Cloud. Topics including AI-powered threat detection, network automation, and integration with quantum computing equip you for the evolving demands of the industry. By addressing ethical considerations and highlighting career pathways, the certification not only develops your technical expertise but also guides your professional growth in AI-enhanced networking.
Why This Certification Matters
Learn both core networking principles and advanced AI-driven technologies such as SDN and NFV.

Learning Outcomes
At the end of this course, you will be able to:
AI-Driven Network Automation
Develop the ability to design, implement, and manage automated network operations using AI, boosting efficiency and minimizing manual effort.
AI-Enhanced Network Security
Gain expertise in applying AI for threat detection and prevention, including AI-powered threat intelligence and continuous network monitoring.
Network Performance Optimization with AI
Learn to use AI and machine learning algorithms to enhance network speed, reliability, and scalability.
AI for Incident Response and Cybersecurity Intelligence
Acquire skills to leverage AI for real-time detection, response, and forensic analysis of network security incidents, strengthening overall cybersecurity.
Course timeline

Networking Foundations
Lesson 1
- 1.1 Basic Networking Concepts
- 1.2 Networking Protocols and Standards
- 1.3 Network Infrastructure and Design
- 1.4 Introduction to Network Security
Advanced Networking Technologies
Lesson 2
- 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
AI in Networking
Lesson 3
- 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
Network Automation and Orchestration
Lesson 4
- 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
AI-Enhanced Network Security
Lesson 5
- 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
Practical Labs and Hands-On Projects
Lesson 6
- 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)
Emerging Trends and Future Directions
Lesson 7
- 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
AI Agents for Network Management
Optional Module
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents

Who Should Enroll in this Program?
Networking Professionals: Seeking to enhance expertise by integrating AI into network design, automation, and security to maintain a competitive edge.
AI Enthusiasts: Interested in applying AI technologies, including machine learning and automation, specifically within networking contexts.
IT Specialists: Exploring how cloud computing, IoT, and AI intersect to optimize network infrastructure and performance.
Cybersecurity Analysts: Looking to leverage AI-driven tools for threat detection, network protection, and predictive analytics.
System Administrators: Transitioning to roles focused on network automation, orchestration, and AI-based system management.
Tech Innovators & Researchers: Keen on investigating emerging technologies such as 5G, edge computing, and blockchain within AI-enhanced networking.
More Details
Prerequisites
- Foundational knowledge of networking concepts.
- Basic familiarity with programming languages, particularly Python.
- Introductory understanding of AI and machine learning principles.
- Experience with network management tools and technologies is advantageous.
- No mandatory prerequisites — certification is awarded based entirely on exam performance.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions

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