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.
Why This Certification Matters
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.
At a Glance: Course + Exam Overview
• Instructor-Led: 5 Days (live or virtual)
• Self-Paced: 40 hours of content
Job Roles & Industry Outlook
Cyber Security Analyst
Protect digital assets by identifying vulnerabilities, monitoring threats, and applying AI to strengthen security defenses.
Business Analyst
Analyze business processes and ensure AI initiatives comply with legal, ethical, and regulatory standards.
Business Intelligence Analyst
Transform data into actionable insights by applying AI-driven analytics to guide smarter business decisions.
Industry Growth: AI+ Network™
- 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.
Who Should Enroll?
- Networking Professionals: Modernize your skill set by integrating AI for automation and optimization.
- AI Enthusiasts: Interested in applying AI technologies like ML and automation specifically to networking domains.
- IT Specialists: Focused on exploring the intersection of cloud computing, IoT, and AI to optimize infrastructure and network performance.
- Students & New Graduates: Build a competitive resume with future-proof AI networking skills.
- Cybersecurity Analysts: Seeking to utilize AI-driven solutions for threat detection, network protection, and predictive analytics.
What You'll Learn
- 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
Tools You'll Explore
Elastic
Juniper
Netdata
Prerequisites
- Basic networking knowledge, Python familiarity, fundamental AI/ML concepts, Experience with network management tools is a plus
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via AI proctored exam platform (flexible scheduling)
Exam Blueprint
- Module 1: Networking Foundations - 12%
- Module 2: Advanced Networking Technologies - 12%
- Module 3: AI in Networking - 12%
- Module 4: Network Automation and Orchestration - 12%
- Module 5: AI-Enhanced Network Security - 13%
- Module 6: Practical Labs and Hands-On Projects - 13%
- Module 7: Emerging Trends and Future Directions - 13%
- Optional Module: AI Agents for Network Management - 13%
Choose the Format That Fits Your Schedule
What's Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone
Frequently Asked Questions
The course includes a mix of theoretical knowledge and practical applications, culminating in an interactive capstone project. This structure ensures that participants gain both conceptual understanding and hands-on experience.
This course is ideal for developers, IT professionals, and anyone with a foundational understanding of AI and cloud computing who wants to enhance their skills in integrating AI with cloud platforms like AWS, Azure, or Google Cloud.
Participants will learn to develop, deploy, and manage AI models on leading cloud platforms. Skills include optimizing AI model performance, ensuring security, meeting compliance standards, and applying AI and cloud concepts to solve real-world problems.
This certification enhances your professional profile by demonstrating proficiency in integrating AI with cloud computing. It equips you with in-demand skills, giving you a competitive edge in the job market and opening doors to lucrative career opportunities.
The certification includes an interactive capstone project where participants apply their knowledge to design and implement AI solutions within cloud environments. This project is designed to simulate real-world scenarios and challenges.