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AI got cheap enough that Duolingo’s most expensive plan may not survive it. I read the earnings call transcript and opened the app to see what is actually changing for learners.
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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.
GenAI, LLMs, Prompt Engineering, AI Agents & business adoption — no coding needed. Designed for managers & leaders
How to use AI with your team. A brief introduction that covers simple frameworks and strategies of using Gen AI at work.
From AI Strategist to AI Leader: An Actionable Workshop for Leaders & Founders to Deliver Measurable ROI with LLMs
Apply generative AI to business operations: analyze customer sentiment and data trends with ChatGPT, plan resources and risk mitigation, and produce an AI-driven optimization proposal.
Explore how generative AI reshapes work: assess its impact across industries, prepare a business for adoption, and identify emerging roles and career opportunities.
Design a generative AI strategy for your organization: use hands-on Gemini Pro labs to spot value opportunities, transform teams, and navigate GenAI risks and ethics.
Generative AI | Business Leaders | ChatGPT | Business Use-Cases | Foundational Concepts | Generative AI in 2 Hours
Evaluate and integrate generative AI into business operations: set KPIs, weigh data privacy and ethics, and apply structured thinking and human-centric design to problems.
AI agents are a new form of labor: build an organizational AI strategy, avoid vendor lock-in, pick high-value use cases, and train staff in conversational design.
Explore how IBM watsonx applies generative AI, foundation models, governance, lakehouse architecture, and AI assistants to enterprise workflows.
Apply design thinking to enterprise AI projects: prioritize business opportunities, think scientifically about use cases, and build a tested data ingestion pipeline with Python and Jupyter notebooks.
Use GenAI as a thought partner: practice in a live large language model playground to synthesize information, sharpen decisions, and grasp what LLMs can and cannot do.
Learn to scale generative AI from pilots to enterprise production: select high-ROI use cases, manage data and model selection, and apply governance across marketing, finance, and IT operations.
Hear enterprise leaders on scaling generative AI: driving ROI, leveraging proprietary data, selecting models, choosing use cases, and handling compliance across marketing, HR, ITOps, and finance.
Trace AI's history and apply generative AI at work: content creation, financial forecasting, choosing an AI framework, and weighing ethical implications for business.
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