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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 AI Models, earn certificates with free online courses from Stanford, University of Michigan, University of Virginia, CU Boulder and other top universities around the world. Read reviews to decide if a class is right for you.
Use AI as a creative partner: generate images and videos in Gemini, turn documents into decks with Gemini Canvas and Slides, and critique work against brand guidelines.
Turn rough notes into polished workplace messages with Gemini: summarize Meet transcripts into action plans, simulate stakeholder feedback, adapt drafts in Canvas, rehearse pitches with Gemini Live.
A broad introduction to generative AI and LLMs, covering transformers, fine-tuning, RAG, generative image models, deployment, and responsible AI.
This course focuses on the core concepts and models of generative AI, including deep learning and large language models. It covers the concept of foundation models and the capabilities of pre-trained
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers ca
Combines mathematical foundations and practical implementation of generative models, diffusion systems, and Transformer-based large language models.
Build job-ready skills in NLP based applications using GPT and BERT in just 2 weeks! Add sought-after skills employers are looking for to your resume and power up your AI career.
Explores how reasoning models are trained and verified, from chain-of-thought and PRM800K to reinforcement learning, context engineering, and whether their reasoning can be trusted.
Build and evaluate a TensorFlow model for chest X-rays, including data preparation, performance statistics, AUC, sensitivity, and specificity.
Explore diffusion models for image generation, compare them with GANs, evaluate their use cases, and fine-tune pretrained models for specific tasks.
Design and build generative AI applications with foundation models through an AWS scenario simulation and guided live-console lab.
Build generative AI applications with Azure OpenAI, including prompt-engineered natural-language and code solutions, RAG over your own data, and AI image generation.
Explore how Transformers led to large language models, then deploy and test foundation models in Azure Machine Learning.
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