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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 Gemini Enterprise: deploy an application connected to Cloud Storage, Drive, and Calendar, build custom agents, and use enterprise search and Gemini Notebook.
Build AI solutions without writing code: prototype sentiment analysis, forecasting and document workflows in Notion AI, then automate and scale them with Zapier, Power Automate and Make.
Get to know the transformative potential of artificial intelligence in business.
Learn to apply AI tools to genuine business challenges in this hands-on, simulation-based program.
Learn to lead AI transformation by aligning initiatives with business priorities and sound practices.
Design enterprise-wide AI strategy with Microsoft 365 Copilot, Copilot Studio, and Azure AI Services, producing an AI maturity scorecard, transformation roadmap, investment recommendation, and governance charter.
Design GenAI-driven business workflows: automate IT, DevOps and HR tasks, build and deploy personalized conversational agents, and measure automation impact with KPIs.
Decide whether AI fits before you build: frame business problems as AI use cases, run go/no-go reviews, and select among Microsoft Foundry, Azure OpenAI, and Azure ML.
Architect, operationalize, and govern AI systems: build a RAG chatbot MVP with LangChain, ChromaDB, and Streamlit, then run LLMOps, drift monitoring, red teaming, and compliance.
Lead enterprise AI as a Chief AI Officer: build AI strategy and teams, run agile AI projects, and enforce governance, ethics, GDPR compliance, and model security.
Identify, prioritize, and implement high-value generative AI use cases across marketing, healthcare, and product design, measuring ROI and KPIs while addressing ethical considerations.
Automate financial close, reporting and expense workflows with Zapier, n8n, Notion AI and Retool, and apply bias, security and compliance controls to finance AI.
Learn to lead AI-driven business decisions: compare supervised, unsupervised and reinforcement learning, prepare data, integrate models via APIs, and apply LLMs, sentiment analysis and AI governance.
Apply generative AI across business functions: compare AI tools, engineer prompts, automate email and note workflows, create marketing visuals with OpenArt and Leonardo AI, and deploy Microsoft Copilot.
Appraise generative AI investments in the Microsoft ecosystem: rank Copilot use cases, model TCO and the Verification Tax, and build vendor scorecards and board-ready business cases.
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