01
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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Five outcome-based courses
Each course includes explicit outcomes, mapped competencies, practice activities, and an applied capstone.
02
Responsible AI User
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
03
AI at Work
Evaluate workplace use cases, run safe pilots, measure value, and communicate changes responsibly.
04
AI Policy & Society
Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.
05
Building with AI Systems
Understand language models, retrieval, agents, evaluation, cost, and deployment safeguards through practical system design.
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FundamentalsCore concepts: how AI works at a high level.84 guides Language AILLMs, NLP, ChatGPT, prompting, and text understanding.155 guides Visual AIImage generation, computer vision, video, and design.133 guides Audio AIVoice, music, podcasting, and audio-first AI.117 guides CompaniesProfiles of OpenAI, Anthropic, Google, Meta, and more.121 guides ApplicationsHow AI shows up in coding, search, agents, and daily life.111 guides IndustriesAI in healthcare, finance, education, energy, and more.91 guides TechnicalChips, fine-tuning, RAG, vectors, and AI infrastructure.177 guides SocietyBias, privacy, copyright, safety, and the AI future.30 guides
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Companies
Nvidia Nemotron Models
Nemotron is Nvidia's family of open large language models, designed to showcase its hardware and to generate high-quality synthetic data for training other…
CompaniesFalcon Models
Falcon is a family of open large language models from the UAE's Technology Innovation Institute (TII) in Abu Dhabi.
TechnicalMulti-Instance GPU Partitioning
Multi-Instance GPU (MIG) is an NVIDIA technology that slices a single physical GPU into multiple isolated hardware partitions.
TechnicalGPU Scheduling and Cluster Orchestration
GPU scheduling decides which jobs run on which accelerators and when, while orchestration coordinates these jobs across an entire cluster of machines.
TechnicalSlurm for AI Training Clusters
Slurm is an open-source workload manager that schedules and runs jobs on high-performance computing clusters, and it has become a default choice for large AI…
Audio AIHiFi-GAN and GAN Vocoders
HiFi-GAN is a generative-adversarial vocoder that turns a mel-spectrogram into a raw audio waveform almost instantly, producing studio-quality speech far…
Audio AIGrapheme-to-Phoneme Conversion
Grapheme-to-phoneme (G2P) conversion translates written letters into the sounds a speech system should actually pronounce.
Audio AIText Normalization for Speech
Text normalization is the front-end step that rewrites raw written text into fully spoken-out words before a speech system says it.
ApplicationsAI in Call Center Speech Analytics
AI speech analytics turns recorded and live phone calls into searchable, scored data — transcribing every word, detecting emotion, and flagging compliance…
ApplicationsAI in Resume Parsing and Talent Matching
AI resume parsing reads unstructured resumes and turns them into structured data — names, skills, titles, dates — so systems can search and rank candidates…
ApplicationsAI in Automated Penetration Testing
AI-driven penetration testing uses machine learning and increasingly autonomous agents to probe networks and applications for exploitable weaknesses…
TechnicalPlan-and-Solve Prompting
Plan-and-Solve (PS) prompting tells a language model to first devise an explicit plan and then carry it out step by step, fixing the failures that plain…
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