INE Debuts Hands-On AI Automation Course

New course empowers community engineers to combine massive language fashions into clever, safe automation workflows.

INE, a worldwide chief in community and IT coaching, right now introduced the discharge of its latest networking course, AI in Automation, designed to provide engineers sensible, hands-on expertise integrating Artificial Intelligence into community infrastructure automation. The course brings collectively cutting-edge ideas in AI-driven community administration and enormous language mannequin (LLM) integration, providing college students a uncommon alternative to experiment immediately with clever community workflows in a digital lab atmosphere.

Developed by knowledgeable teacher Rohit Pardasani, the course explores how AI in automation can elevate trendy infrastructure operations past static scripts into programs able to reasoning, adapting, and studying. Through guided workouts, learners join an actual LLM, Anthropic’s Claude, to routers in a digital topology utilizing the Model Context Protocol (MCP), observing firsthand how synthetic intelligence can analyze, interpret, and reply to stay community knowledge.

“Traditional automation stops at execution,” stated Pardasani. “With LLM-based programs, we will now construct adaptive community programs that perceive intent, contextualize instructions, and keep secure, auditable workflows. This course helps engineers take that subsequent leap to create automation that thinks.”

Transforming Network Infrastructure Through AI

INE’s AI in Automation course is a part of the corporate’s broader Automating & Programming Cisco Enterprise Solutions (300-435 ENAUTO) Learning Path, supporting learners getting ready for the Cisco ENAUTO (300-435) certification examination. The course bridges theoretical AI rules with sensible automation frameworks, enabling college students to:

• Build autonomous networking workflows that combine AI decision-making.
• Safely deploy LLMs inside community infrastructure automation environments.
• Use plain-language prompts to generate community insights, akin to producing a list of software program variations, verifying configurations, or figuring out anomalies.
• Implement controls making certain each automated motion is logged and reversible.

The result’s a sensible simulation of enterprise-grade community automation enhanced by AI, a vital ability set as organizations pursue agility, resilience, and effectivity of their IT ecosystems.

A Hands-On Approach to the Future of Networking

The course’s lab-centric design underscores INE’s dedication to immersive, experience-driven schooling. Learners don’t simply watch demonstrations; they architect automation pipelines that leverage AI’s interpretive energy. By making use of LLMs to router automation labs, college students see the tangible distinction between code that executes instructions and code that understands them.

“AI has already redefined industries from content material creation to cybersecurity,” stated Brian McGahan, Director of Networking Content for INE. “This course reveals how those self same improvements are reshaping networking and making automation extra clever, responsive, and strategic.”

INE’s coaching framework permits learners to check integrating Large Language Models (LLMs) with community infrastructure in a safely managed, virtualized atmosphere. Participants can take a look at, iterate, and measure AI-driven responses earlier than making use of them to production-level programs, making certain each innovation and safety stay central to their automation workflows.

The AI in Automation course is now stay on the INE platform. Students can start studying instantly, entry on-demand labs, and progress in the direction of acquiring Cisco’s CCNP Automation Certification, whereas exploring real-world AI purposes.

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