Managing modern networks isn’t what it used to be. With the rise of 5G, IoT, and cloud-driven systems, professionals are under pressure to deliver speed, security, and reliability. At the same time, they must deal with growing complexity. And manual methods alone can’t keep up.
Artificial intelligence is thankfully changing the game. From automating repetitive tasks to predicting security threats before they happen, AI is transforming how networks operate. In fact, the global AI in Networks market is valued at $15.28 billion in 2025 and projected to exceed $192.42 billion by 2034.
This is where the AI+ Network Certification makes a difference. Delivered by Datacipher Education, this certification equips you with the practical labs, frameworks, and projects to thrive in this new reality. In this guide, we’ll unpack the modules, benefits, and why it could be the smartest move for your career in 2025.
Why Take The AI+ Network Certification Training
If you are exploring how artificial intelligence is transforming networking, the AI+ Network Certification provides the skills and insights you need to stay competitive. Here is what this training can help you achieve:
1. Build a strong foundation in modern networking
You will start with essential networking principles such as LAN, WAN, VLANs, and IP addressing, while also covering advanced technologies like 5G, IoT, and cloud networking. This balance ensures you can bridge foundational knowledge with the latest industry demands.

2. Learn how AI enhances network performance and security
Through dedicated modules, you will understand how AI improves traffic routing, automates management, detects anomalies, and strengthens defenses against evolving cyber threats. These skills are vital as businesses demand more resilient and adaptive networks.
3. Gain hands-on experience through labs and projects
This certification goes beyond theory. With simulation tools like GNS3 and Cisco Packet Tracer, plus real-world projects, you will apply AI-driven solutions to optimize, secure, and automate networks, building confidence and practical expertise.
4. Position yourself at the forefront of AI-driven networking
As industries adopt AI in network operations, professionals who can integrate AI with traditional networking are highly sought after. This certification helps you stand out as someone ready to implement cutting-edge technologies.
Whether your goal is to advance as a network engineer, cybersecurity analyst, or IT specialist, the AI+ Network Certification prepares you for roles that combine technical networking skills with AI innovation. It also opens doors to future certifications and leadership opportunities.
Who Is The AI+ Network Certification For?
The AI+ Network Certification is designed for learners who want to combine networking expertise with artificial intelligence to address the demands of modern IT infrastructures. It blends foundational networking principles with advanced topics such as network automation, AI-enhanced security, 5G, IoT, and cloud-based systems.
This training emphasizes hands-on learning through labs, simulation tools, and real-world projects. By the end of the program, participants gain the confidence to design, manage, and secure intelligent networks that align with today’s industry standards.
Feature | Details |
Course Duration | Instructor-led: 5 days Self-paced: 40+ hours |
Delivery Format | Online instructor-led or self-paced training with labs, projects, and case studies |
Course Level | Intermediate |
Target Audience | Networking professionals, IT specialists, students, graduates, cybersecurity analysts, system administrators, AI enthusiasts, and researchers |
Prerequisites | Foundational networking knowledge, basic Python programming, and fundamental AI/ML concepts. Experience with network management tools is recommended |
Course Fees | INR 70,000 |
Target Audience
The AI+ Network Certification is ideal for anyone looking to bridge networking with artificial intelligence. It is designed for:
1. Networking Professionals
2. IT Specialists
3. Cybersecurity Analysts
4. System Administrators
5. Students and Fresh Graduates
6. AI Enthusiasts
7. Tech Innovators and Researchers
Prerequisites
To make the most of the AI+ Network Certification, learners should have:
1. Foundational networking knowledge – basic understanding of concepts such as LAN, WAN, IP addressing, and security fundamentals.
2. Python programming skills – familiarity with Python or similar languages for automation and scripting.
3. AI and Machine Learning basics – understanding of fundamental AI/ML concepts and their applications.
4. Experience with network management tools – prior exposure to tools and technologies for monitoring and managing networks is helpful but not mandatory.
These prerequisites ensure participants can engage with both the theoretical and hands-on modules effectively, preparing them to design and manage AI-enhanced networks with confidence.
Enrolling In The AI+ Network Certification
The AI+ Networks certification is also offered by ATPs like Datacipher Education. Our programs combine structured instruction with immersive, hands-on labs and projects. Whether you prefer live instructor-led sessions or flexible self-paced learning, enrolling is straightforward and accessible.
Here’s how you can register:
1. Visit the AI CERTs Certification Portal
On the AI CERTs Certifications page, go to the Security category, and select the AI+ Network Certification from the available options.

Source: AI Certs
2. Choose your preferred learning format
Select between instructor-led training (online live sessions or in-person) and self-paced modules. Both delivery methods include labs, real-world case studies, and projects that reinforce your skills.
3. Enroll through Datacipher Education Services
As an AI CERTs Authorized Training Partner, Datacipher offers globally accessible training guided by networking and AI experts. You can visit our website to explore upcoming schedules and register directly.
4. Access your course resources
Once enrolled, learners gain access to practical labs, project assignments, and study materials that support both theoretical and applied learning. These resources ensure that participants can confidently apply AI-driven networking concepts in real-world scenarios.
What You Will Learn From The AI+ Network Certification Training?
The AI+ Network Certification is structured to provide both foundational networking knowledge and advanced expertise in applying AI to real-world network environments.
The course modules are as follows:
- Networking Foundations
- Advanced Networking Technologies
- AI in Networking
- Network Automation and Orchestration
- AI-Enhanced Network Security
- Practical Labs and Hands-On Projects
- Emerging Trends and Future Directions
- Optional Module: AI Agents for Network Management

By the end of this course, you will be able to:
1. Build and Strengthen your Networking Foundations
You will master LAN, WAN, MAN, and PAN concepts along with IP addressing, VLANs, routing, switching, and wireless standards, while applying best practices for network security and compliance.
2. Implement Advanced Networking Technologies
You would also explore cloud computing, 5G, IoT, and edge computing alongside modern architectures such as Software-Defined Networking and Network Functions Virtualization.
3. Apply AI And ML In Real-World Networking
You will also learn to use tools like TensorFlow and PyTorch to enhance traffic optimization, diagnostics, anomaly detection, and predictive maintenance in networks.
4. Automate And Orchestrate Network Functions
Further, you will learn to leverage automation tools such as Ansible, Puppet, Kubernetes, and APIs (REST, NETCONF) to streamline network configuration and management with AI-driven orchestration.
5. Enhance Security With AI-Powered Solutions
Moreover, you will develop expertise in threat detection, behavioral analysis, incident response, and AI-enabled zero trust architectures, while addressing ethical and regulatory considerations.
In addition, the course provides extensive hands-on practice using GNS3 and Cisco Packet Tracer, and a capstone project on AI-enhanced networks. It also provides exposure to emerging trends such as AI in IoT, blockchain, and quantum computing, making this certification highly market-relevant.
Exam Format For AI+ Network Certification
To earn the AI+ Network Certification, candidates must pass a proctored, online exam that validates their ability to apply both core networking principles and AI-driven enhancements across automation, orchestration, and security.
Here are the key exam details:
Exam Component | Details |
Exam Code | AT-510 |
Delivery | Online, proctored via an AI-enabled platform with flexible scheduling |
Format | 50 multiple-choice or multiple-response questions |
Duration | 90 minutes |
Passing Score | 70% (35 out of 50) |
Language | English |
Once certified, you will receive a digitally verifiable badge and credential from AI CERTs, recognized globally across industries. This confirms your ability to design, automate, and secure AI-powered networks while applying the latest tools and technologies.
The AI+ Network Certification is, therefore, a clear, structured pathway to validate your expertise, making it one of the most relevant programs for professionals seeking to combine AI and networking in today’s technology landscape.
Note: Candidates are advised to review the official AI CERTs Candidate Handbook for detailed exam standards, guidelines, and responsibilities before attempting the test.
For more insights into advancing your networking career, read our in-depth blog on the Best Certification for Network Engineers in 2025
Train With Datacipher: Your Gateway To AI+ Network Certification
At Datacipher Education Services, we don’t just deliver AI CERTs training. We prepare professionals to lead in the era of AI-powered networking. As an authorized AI CERTs training partner, Datacipher is trusted across global markets for outcome-focused programs that combine foundational networking knowledge with advanced AI applications.

Source: Datacipher
Here’s what you can expect from Datacipher training:
1. Trusted AI CERTs training: Our instructors are certified networking and AI specialists with deep industry expertise. We emphasize practical, job-ready skills in automation, orchestration, and AI-enhanced security, ensuring immediate impact in enterprise and service provider environments.
2. Flexible learning options: You can choose from instructor-led sessions or self-paced modules, both enriched with labs, projects, and real-world scenarios. Our formats adapt to your schedule while maintaining rigor and engagement.
3. Enterprise-ready training for modern networks: For organizations modernizing their networks with AI, we provide customized, private sessions aligned with your infrastructure and business goals. Whether it’s cloud integration, AI-driven security, or network automation, our training scales with your team’s needs.
This certification isn’t just academic. It empowers you to design, secure, and optimize AI-driven networks while positioning yourself at the forefront of a rapidly evolving field.
Take the next step in your networking career with Datacipher and become AI-ready today.
Frequently Asked Questions
1. What Is Network Security?
Network security is the practice of protecting data, applications, and devices within a network from unauthorized access and cyber threats. It requires tools like firewalls, encryption, and monitoring systems and expertise to safeguard communication.
2. How Is AI Being Used To Improve Modern Networking?
AI is transforming networking by introducing automation, predictive analytics, and self-healing capabilities. It helps detect faults before they cause downtime, thus optimizing traffic flows, and strengthening defenses against attacks.
3. How Does This Certification Help Experienced Networking Professionals Stay Competitive?
The AI+ Network Certification equips professionals with skills in automation, orchestration, and AI-enhanced security, areas that are transforming the networking field. By combining traditional expertise with AI-driven approaches, you stay relevant in a market where manual methods alone are no longer enough.