Course Prerequisites
To ensure that participants can fully benefit from the Juniper Mist AI Networks course and engage effectively with the curriculum, the following prerequisites are recommended:
- Basic understanding of networking principles, including OSI and TCP/IP models.
- Familiarity with wireless networking concepts and standards, especially IEEE 802.11 (Wi-Fi).
- Knowledge of network routing and switching principles.
- Experience with network configuration and operation, preferably with some exposure to Juniper network devices or other vendor network equipment.
- An understanding of basic security concepts related to networking and wireless systems.
- Prior experience with network troubleshooting and problem resolution.
These prerequisites are intended to provide a foundation upon which the course content can build. We encourage students with varying levels of experience to consider these guidelines as a way to maximize their learning and proficiency in the Juniper Mist AI Networks course.
Juniper Mist AI Networks (MIST)
Target Audience for Juniper Mist AI Networks (MIST)
The Juniper Mist AI Networks course offers in-depth training on Wi-Fi, Mist architecture, AI, and automation for IT professionals.
- Network Engineers
- Wireless Infrastructure Specialists
- Systems Administrators
- Network Architects
- IT Managers overseeing network operations
- Network Security Professionals
- Technical Support Engineers
- Network Analysts
- AI and Machine Learning Enthusiasts in Networking
- IT Professionals looking to upgrade their skills in advanced network solutions
- Professionals seeking certification in Juniper Networks
- Network Consultants
- DevOps Engineers interested in network automation and scripting
Learning Objectives - What you will Learn in this Juniper Mist AI Networks (MIST)?
Introduction to the Course's Learning Outcomes and Concepts Covered:
The Juniper Mist AI Networks course equips participants with comprehensive knowledge of Wi-Fi fundamentals, Mist AI-driven operations, and advanced WLAN features, ensuring proficient deployment and management of Mist solutions.
Learning Objectives and Outcomes:
- Understand the fundamentals of Wi-Fi technology, including 802.11 PHYs, frequency bands, and RF basics.
- Learn the architecture and components of Mist AI-driven networks, including account setup and AP configuration.
- Gain hands-on experience with WLAN testing and troubleshooting through lab exercises.
- Master the concepts and implementation of WLANs, including security, policies, and Mist-specific features.
- Develop proficiency in network operations, wireless assurance, and radio resources management (RRM) for optimal network performance.
- Comprehend the wired assurance solutions and deployment strategies for Mist AI networks.
- Explore the capabilities of AI in network management, including reactive and proactive troubleshooting with Marvis Actions.
- Acquire knowledge on location-based services, their applications, and technologies like virtual BLE.
- Learn how to leverage Mist APIs for automation and scripting to enhance network efficiency and customization.
- Execute real-world scenarios in lab environments to reinforce skills in API usage, wireless assurance, and proactive network management.
Target Audience for Juniper Mist AI Networks (MIST)
The Juniper Mist AI Networks course offers in-depth training on Wi-Fi, Mist architecture, AI, and automation for IT professionals.
- Network Engineers
- Wireless Infrastructure Specialists
- Systems Administrators
- Network Architects
- IT Managers overseeing network operations
- Network Security Professionals
- Technical Support Engineers
- Network Analysts
- AI and Machine Learning Enthusiasts in Networking
- IT Professionals looking to upgrade their skills in advanced network solutions
- Professionals seeking certification in Juniper Networks
- Network Consultants
- DevOps Engineers interested in network automation and scripting
Learning Objectives - What you will Learn in this Juniper Mist AI Networks (MIST)?
Introduction to the Course's Learning Outcomes and Concepts Covered:
The Juniper Mist AI Networks course equips participants with comprehensive knowledge of Wi-Fi fundamentals, Mist AI-driven operations, and advanced WLAN features, ensuring proficient deployment and management of Mist solutions.
Learning Objectives and Outcomes:
- Understand the fundamentals of Wi-Fi technology, including 802.11 PHYs, frequency bands, and RF basics.
- Learn the architecture and components of Mist AI-driven networks, including account setup and AP configuration.
- Gain hands-on experience with WLAN testing and troubleshooting through lab exercises.
- Master the concepts and implementation of WLANs, including security, policies, and Mist-specific features.
- Develop proficiency in network operations, wireless assurance, and radio resources management (RRM) for optimal network performance.
- Comprehend the wired assurance solutions and deployment strategies for Mist AI networks.
- Explore the capabilities of AI in network management, including reactive and proactive troubleshooting with Marvis Actions.
- Acquire knowledge on location-based services, their applications, and technologies like virtual BLE.
- Learn how to leverage Mist APIs for automation and scripting to enhance network efficiency and customization.
- Execute real-world scenarios in lab environments to reinforce skills in API usage, wireless assurance, and proactive network management.
