AI & Agentic AI
LLMs, RAG, enterprise assistants, agents, evaluations, prompt engineering, AI governance, AgentOps, and AI platform engineering.
Role-based learning paths connect enterprise technology, data, cloud, AI, FinOps, and product engineering concepts with practical implementation patterns and hands-on enablement.

EDXi University organizes learning around the same technology domains EVERESTDX engineers and customers use in real enterprise environments.
LLMs, RAG, enterprise assistants, agents, evaluations, prompt engineering, AI governance, AgentOps, and AI platform engineering.
Data engineering, lakehouse, streaming, APIs, event architecture, governance, semantic layers, data products, and AI-ready context.
AWS, Azure, GCP, Kubernetes, landing zones, platform engineering, infrastructure automation, GitOps, security, and resilience.
Cost visibility, allocation, showback, optimization, cloud economics, AI cost management, SaaS intelligence, and technology value management.
Modern application architecture, APIs, microservices, automation, testing, DevOps, UX, and enterprise product engineering.
Product-oriented learning across VantageX, CORA, OPTIX, InsightONE, and BotX for implementation, integration, and enterprise use cases.
Learning can be organized for individual practitioners, engineering teams, delivery teams, customer enablement, or focused transformation programs.
Academy content is designed to connect learning with the engineering and operating patterns used across EVERESTDX solutions and products with practical application at every stage.
Talk with EVERESTDX about role-based enablement across AI, data, cloud, FinOps, platform engineering, and enterprise products.