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Learn Enterprise AI, earn certificates with free online courses from Stanford, University of Michigan, Coursera, The University of British Columbia and other top universities around the world. Read reviews to decide if a class is right for you.
Explore how the Red Hat AI portfolio operationalizes enterprise AI on OpenShift: vLLM and llm-d inference, RAG and fine-tuning, agentic AI, pipelines, and guardrails.
Evaluate Generative AI opportunities for your organization: prioritize use cases, build adoption roadmaps, set governance frameworks, and measure ROI, using cases from Klarna, Morgan Stanley, and Shopify.
Optimize the enterprise AI lifecycle—from strategy and proof of concept to production, measurement, GenAI operations, and responsible governance—using practical frameworks and case studies.
Explores AI-ready architectures for regulated finance, insurance, and healthcare, from semantic data protection and GenAI copilots to underwriting, clinical data, and enterprise documents.
Build a board-ready AI Transformation Executive Brief by scoring use cases, gating phases, assigning decision rights, and tying each bet to baselines and two-year KPIs.
Examines industry-specific architectural patterns and case studies for deploying agentic and generative AI across manufacturing, media, telecommunications, and retail.
Develop an agentic AI strategy: assess enterprise data readiness, map Copilot Studio and Microsoft Foundry, choose build-or-buy options, and plan adoption with Microsoft’s Cloud Adoption Framework.
Build production GenAI infrastructure with GitHub Actions or Azure DevOps, progressive rollouts, Azure API Management, and continuous LLM observability.
Maps AI agent types to business KPIs and bottlenecks, then examines Gemini Enterprise tools for orchestrating no-code through high-code solutions.
Design an integrated enterprise AI delivery architecture spanning Dynamics 365, Power Platform, and lifecycle management, culminating in a production-oriented architecture document.
Learn to manage AI projects so they move from concept to shipped, scalable systems.
Build and operationalize AI agents with Gemini Enterprise and Model Context Protocol, deploy them on Vertex AI Agent Engine and Cloud Run, and manage multi-agent memory.
Explore the basics of Artificial Intelligence AI is transforming our economy, media, industries, and society.
Explore real-world generative AI use cases that improve customer experiences, employee productivity, business processes, creativity, and industry operations.
A concise executive introduction to generative AI, its enterprise applications, workforce implications, and role in business growth.
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