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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.
Learn how to look past the hype and anticipate how generative AI could reshape workplace roles and team work.
Explores a five-step AI adoption framework, enterprise roles, governance, adoption paths, incentives, and success metrics.
An introduction to Gemini Enterprise covering its admin console, external database connections, and deployment of custom no-code AI agents.
Learn AI and data science concepts for business leaders, and apply the AI Ladder framework to plan and deploy AI solutions across an enterprise.
Discover how BlackRock built a Kubernetes-native AI framework to rapidly deploy custom knowledge apps for investment operations, streamlining document extraction and automation workflows.
Explores how organizations can prepare for GenAI while aligning its capabilities with enterprise security, privacy, and guardrails.
See how Microsoft IQ connects enterprise knowledge across Work IQ, Foundry IQ, and Fabric IQ to give AI models context and support agents.
A practical look at choosing enterprise problems for generative AI, weighing its benefits and risks, and planning responsible adoption.
An overview of prompt engineering, fine-tuning, and retrieval-augmented generation for working with non-public enterprise data.
Explore why enterprise LLM applications involve trade-offs in latency, accuracy, and consistency, alongside the technology choices for building them.
A clear-eyed look at moving enterprise generative AI beyond the hype by weighing practical value, data risks, and private deployment.
Explore ways to accelerate enterprise AI adoption through rapid model deployment, pre-integrated frameworks, and automation of machine-learning processes.
Examines the promise and practice of using large language models in enterprise settings.
A practical playbook for focusing generative AI projects on organizational goals, human needs, and achievable value.
A five-pillar, five-stage blueprint for moving enterprise AI initiatives from pilots to responsible production at scale.
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