New This Month: AI Engineering, Juniper Automation & Cisco Data Center Design @cbtnuggets
New This Month: AI Engineering, Juniper Automation & Cisco Data Center Design  @cbtnuggets
Uploaded June 2026 | Updated September 2026, 2 weeks ago
Whether you're trying to break into AI, automate your network, or design data centers at scale, there's something here for you.
Check out this month's new courses, covering a beginner-friendly path into machine learning and AI engineering for IT pros and developers, a hands-on automation deep dive for network engineers ready to stop doing things manually, and updated CCNP-level data center design training that reflects how AI is reshaping modern infrastructure.

👉 Introduction to Machine Learning and AI Engineering training course: training.cbt.gg/gmv

👉 JNCIS-DevOps: Automation and DevOps Specialist (JN0-423) training course: courses.cbt.gg/lxw

👉 Designing Cisco Data Center Infrastructure for Traditional and AI Workloads v1.2 (DCID 300-610) training course: training.cbt.gg/s4o

🌐 *Get your IT Team trained — request a demo today:* training.cbt.gg/getdemo
Check out the latest new training courses: training.cbt.gg/x85
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*FAQs*

*Is it worth it to learn machine learning and AI engineering?*
Yes, especially right now. AI and machine learning skills are quickly becoming essential in every line of work, not just ML engineering. Full-stack developers need to know how to build AI features into products, data analysts should understand models for forecasting and decision support, and DevOps teams are supporting inference workflows and vector databases. The value of this course isn’t “becoming an AI scientist,” but learning how to use existing models, prompts, workflows, and evaluation techniques to solve real business problems.

*What is the difference between JNCIA DevOps and Cisco Automation certifications?*
The biggest difference is depth and ecosystem focus. JNCIA-DevOps is the entry point into Juniper automation, covering the basics of PyEZ, Python, APIs, and Junos workflows. This JNCIS-DevOps course is the next step and goes much deeper into Ansible, Nornir, telemetry, YANG, and large-scale automation. Cisco CCNA/CCNP Automation is broader across Cisco’s ecosystem and often leans more into APIs, programmability, and cross-platform integrations beyond just networking. If your environment is Junos-heavy, the Juniper path will probably feel more useful because it maps to real operational tasks on Juniper devices. CCNA/CCNP Automation is excellent too, but it’s broader and often less tied to one network operating model.

*What makes DCID 300-610 v1.2 different from earlier versions?*
Cisco works to keep the DCID exam current with modern trends, and the v1.2 update is largely focused on the ways AI/ML has evolved network design. That’s where the new focus on lossless Ethernet, RoCEv2, and high-performance fabrics comes from. Older technologies like FCoE and OTV are de-emphasized, while modern platforms like UCS X-Series, NVMe-oF, Cisco Intersight, and Nexus Dashboard take center stage. The exam now tests architects on their ability to design for scale, performance, and AI readiness.
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New This Month: AI Engineering, Juniper Automation & Cisco Data Center Design

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