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AI-Native Networking (AINET) Training
Build a strong foundation in AI-Native Networking with our AINET Training. Learn how Artificial Intelligence (AI), Machine Learning (ML), and AIOps are transforming modern network operations through automation, predictive analytics, proactive troubleshooting, and enhanced user experiences. This course introduces Juniper’s AI-Native Networking platform and prepares learners to adopt AI-driven networking strategies in enterprise environments.
- 2 Days (Instructor-led)
- Beginner to Intermediate
- Online
- Course Completion Certificate
Course Overview
The AI-Native Networking (AINET) course is designed for IT professionals, network engineers, architects, and business leaders who want to understand how artificial intelligence is reshaping modern network operations.
This instructor-led training introduces the core principles of AI-Native Networking, including Artificial Intelligence (AI), Machine Learning (ML), Artificial Intelligence for IT Operations (AIOps), automation, network observability, proactive operations, and AI-assisted troubleshooting. You’ll also explore how AI can improve network reliability, simplify management, reduce operational costs, and enhance user experiences across enterprise wired, wireless, WAN, and data center environments.
Through interactive sessions and real-world use cases, you’ll gain practical insights into how AI-driven networking enables organizations to move from reactive network management to intelligent, self-optimizing operations.
Course Curriculum
- Evolution of enterprise networking
- What is AI-Native Networking?
- AI, ML, and AIOps fundamentals
- Business value of AI-driven networking
- Industry trends
- Artificial Intelligence for IT Operations (AIOps)
- Predictive analytics
- Intelligent event correlation
- Automated incident detection
- Operational efficiency
- Network automation concepts
- Intelligent workflows
- Policy-driven operations
- Self-optimizing networks
- Network assurance
- User experience monitoring
- Service Level Expectations (SLEs)
- Network observability
- Performance analytics
- Proactive issue resolution
- AI-driven campus networking
- Wired and wireless operations
- WAN visibility
- Cloud-managed networking
- AI-assisted security concepts
- Enterprise deployment strategies
- Operational best practices
- Adoption planning
- Future networking trends
- AI-ready infrastructure
Course Highlights
- AI-Native Networking fundamentals
- Instructor-led expert training
- Artificial Intelligence (AI) in networking
- Machine Learning (ML) concepts
- Artificial Intelligence for IT Operations (AIOps)
- Network automation fundamentals
- Predictive network analytics
- AI-assisted troubleshooting
- Network observability
- User experience monitoring
- AI-driven operational workflows
- Real-world enterprise use cases
- Interactive discussions
- Course completion certificate
Why Learn AI-Native Networking?
Modern enterprise networks generate enormous amounts of operational data, making manual management increasingly complex. AI-Native Networking enables organizations to automate routine tasks, identify issues before they impact users, accelerate troubleshooting, and improve overall network performance.
As organizations continue adopting cloud services, hybrid work models, and AI-powered infrastructure, professionals with AI-driven networking skills are becoming increasingly valuable.
Benefits include:
- Understand AI-powered network operations
- Learn modern AIOps methodologies
- Improve operational efficiency through automation
- Gain insight into predictive network management
- Enhance troubleshooting and user experience monitoring
- Build foundational knowledge for AI-driven networking careers
Skills You'll Learn
After completing this course, you’ll be able to:
- Understand AI-Native Networking principles
- Explain the role of AI and Machine Learning in networking
- Understand AIOps concepts and workflows
- Identify opportunities for network automation
- Interpret network analytics and operational insights
- Understand AI-assisted troubleshooting techniques
- Explain proactive network operations
- Understand cloud-managed networking concepts
- Improve network visibility and user experience monitoring
- Apply AI-driven networking best practices in enterprise environments.
Who Should Attend?
This course is ideal for:
- Network Engineers
- Network Administrators
- Network Architects
- IT Infrastructure Engineers
- Systems Engineers
- Network Operations Center (NOC) Engineers
- IT Managers
- Technical Consultants
- Professionals interested in AI-driven networking
- Business leaders exploring AI-Native Networking strategies
Prerequisites
There are no formal prerequisites for this course.
However, participants will benefit from:
- Basic networking knowledge
- Familiarity with enterprise IT environments
- Understanding of networking concepts and protocols
- Interest in automation, cloud networking, or AI technologies
This course is suitable for both technical and non-technical professionals looking to understand the business and operational impact of AI in networking.
Hands-on Labs
Throughout the course, participants will explore practical demonstrations and guided exercises covering:
- AI-powered network monitoring
- Operational dashboards
- Network analytics interpretation
- AI-assisted troubleshooting workflows
- Automation use cases
- User experience analysis
- AI-driven operational decision making
- Enterprise networking scenarios
- Best practice discussions
- Real-world deployment examples
Certification Exam
Certification: Course Completion Certificate
Upon successful completion of the training, participants will receive a Course Completion Certificate validating their understanding of AI-Native Networking concepts, AIOps, network automation, observability, and AI-driven operational best practices.
This course also provides a strong foundation for professionals planning to pursue Juniper’s AI-Native Networking learning and certification paths.
Career Opportunities
After completing this course, you can pursue or enhance roles such as:
- Network Engineer
- Network Operations Engineer
- Network Administrator
- IT Infrastructure Engineer
- Cloud Network Engineer
- Network Architect
- Systems Engineer
- IT Operations Specialist
- Network Automation Engineer
- AI-Native Networking Specialist
Why Choose Us?
- Certified industry instructors
- Industry-aligned AI networking curriculum
- Interactive instructor-led sessions
- Enterprise-focused use cases
- Flexible classroom and online learning
- Small batch sizes
- Real-world networking scenarios
- Corporate training solutions
- Post-training learning support
Frequently Asked Questions
Yes. This course is designed for professionals with basic networking knowledge who want to understand how AI and automation are transforming modern enterprise networks. No prior AI or machine learning experience is required.
Yes. Participants work through guided demonstrations, operational scenarios, AI-powered monitoring examples, analytics interpretation, and enterprise networking case studies to reinforce key concepts.
No. This course focuses on applying AI within networking rather than developing AI models. You’ll learn how AI is used to automate operations, improve visibility, and optimize network performance.
This course provides foundational knowledge for professionals interested in AI-Native Networking and supports progression into Juniper’s AI-Native Networking learning and certification pathways.
The course is ideal for network engineers, architects, IT administrators, operations teams, consultants, and technology leaders who want to understand how AI-driven networking improves operational efficiency, user experience, and enterprise network management.