NCP-AI – Nutanix
Fortinet (FortiGate) Certification Overview
The Network Security Expert (NSE) program features several certification levels, covering everything from foundational knowledge to expert-level mastery: Exam Pricing (as of latest Fortinet update) According to Fortinet’s official support as of July 4, 2025, exam voucher pricing is: To summarize: Certification Type Exam Count Price per Exam Total Cost (approx.) FCF / FCA Free / varies Training free; exam pricing may vary – FCP / NSE 4/5/6 2 exams $200 each $400 USD total FCSS / NSE 7 (single exam) 1 exam $400 $400 USD total FCX (Expert) – Written + Practical 2 exams $400 + $1,600 $2,000 USD total
MS Azure certificate track 2025
The Microsoft Azure certification path in 2025 (MS Azure certificate track 2025) offers various levels, starting with Fundamentals, then Associate, Expert, and finally, Specialty certifications. It’s recommended to begin with the Fundamentals certification, like AZ-900: Microsoft Azure Fundamentals, before progressing to more specialized roles.Azure Azure certificate Track – Certification Levels 2025: Azure certificate track Recommended Certifications:
Nutanix Enables Agentic AI with Latest Release of Nutanix Enterprise AI
ِ leader in hybrid multicloud computing, today announced the general availability of the latest version of the Nutanix Enterprise AI (NAI) solution, adding deeper integration with NVIDIA AI Enterprise, including NVIDIA NIM microservices and the NVIDIA NeMo framework, to speed the deployment of Agentic AI applications in the enterprise. Nutanix AI – NAI is designed to accelerate the adoption of generative AI in the enterprise by simplifying how customers build, run, and securely manage models and inferencing services at the edge, in the data center, and in public clouds on any Cloud Native Computing Foundation® (CNCF)-certified Kubernetes® environment. The latest NAI release extends a shared model service methodology that simplifies agentic workflows, helping to make deployment and day two operations simpler. It streamlines the resources and models required to deploy multiple applications across lines of business with a secure, common set of embedding, reranking, and guardrail functional models for agents. This builds on the NAI core, which includes a centralized LLM model repository that creates secure endpoints that make connecting generative AI applications and agents simple and private. “Nutanix is helping customers keep up with the fast pace of innovation in the Gen AI market,” said Thomas Cornely, SVP of Product Management at Nutanix. “We’ve expanded Nutanix Enterprise AI to integrate new NVIDIA NIM and NeMo microservices so that enterprise customers can securely and efficiently build, run, and manage AI Agents anywhere.” “Enterprises require sophisticated tools to simplify agentic AI development and deployment across their operations,” said Justin Boitano, Vice President of Enterprise AI Software Products at NVIDIA. “Integrating NVIDIA AI Enterprise software including NVIDIA NIM microservices and NVIDIA NeMo into Nutanix Enterprise AI provides a streamlined foundation for building and running powerful and secure AI agents.” Nutanix AI NAI for agentic applications can help customers: Discover More NUTANIX EXAMS from herer Unlock Insights From Data with NVIDIA AI Data Platform – The Nutanix Cloud Platform solution builds on the NVIDIA AI Data Platform reference design and integrates the Nutanix Unified Storage and the Nutanix Database Service solutions for unstructured and structured data for AI. The Nutanix Cloud Infrastructure platform provides a private foundation for NVIDIA’s accelerated computing, networking, and AI software to turn data into actionable intelligence. As an NVIDIA-Certified Enterprise Storage solution, Nutanix Unified Storage meets rigorous performance and scalability standards, providing software-defined enterprise storage for enterprise AI workloads, through capabilities such as NVIDIA GPUDirect Storage.

