AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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Each course includes explicit outcomes, mapped competencies, practice activities, and an applied capstone.
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
Evaluate workplace use cases, run safe pilots, measure value, and communicate changes responsibly.
Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.
Understand language models, retrieval, agents, evaluation, cost, and deployment safeguards through practical system design.
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AI helps fishing fleets find fish more efficiently, cut wasted bycatch, and prove their catch is legal and sustainable.
IndustriesAI is entering the funeral industry to handle logistics, personalize tributes, and even recreate the voices and likenesses of the deceased.
Visual AIMuse is a text-to-image model from Google that generates pictures by filling in masked image tokens all at once, making it far faster than step-by-step…
Visual AIParti (Pathways Autoregressive Text-to-Image) generates pictures the way language models write sentences: one image token at a time, predicting the next…
Visual AIImagen 2 is Google's photorealistic diffusion-based text-to-image model, refined with reward tuning so its outputs better match what people actually want.
Language AISelf-Refine is a prompting technique where a language model critiques its own output and rewrites it, looping until the answer improves.
Language AILeast-to-Most prompting breaks a hard problem into a sequence of simpler subproblems, solving them in order so each answer feeds the next.
Language AIAnalogical and Step-Back prompting both guide a model to reason at a higher level first: analogical prompting has it recall similar solved problems…
Audio AIGlow-TTS is a text-to-speech model that learns to align text to speech on its own using a clever search trick, removing the need for a separate aligner.
Audio AIParallel WaveGAN is a fast neural vocoder that turns a mel-spectrogram into a raw audio waveform using a small GAN, generating all samples at once.
Audio AIWaveGlow is a flow-based neural vocoder from NVIDIA that synthesizes speech waveforms from mel-spectrograms in a single pass without autoregression.
ApplicationsAI in player scouting uses data and video analysis to spot talent, predict career trajectories, and find undervalued athletes.
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