AI courses for modern practice
Search the merged catalog of free, paid, and price-not-stated AI, ML, robotics, simulation, agentic AI, evals, and AI engineering courses from the study guides plus vetted Microsoft, NVIDIA DLI, and Maven catalog sources.
Build an Omniverse extension that transforms natural language into realistic 3D materials.
Learn how to optimize vector database workloads on the GPU.
NVIDIA FLARE is a domain-agnostic, open-source, and extensible Python SDK for Federated Learning.
Agentic AI Explained
NVIDIA DLI
Agentic AI sits at the core of AI’s current technological revolution by creating agents capable of independently perceiving, reasoning, acting, and learning—a foundational skill set for building the next generation of intelligent, adaptive systems.
Build a Deep Research Agent
NVIDIA DLI
Learn to build autonomous deep research agents using NVIDIA AI-Q Blueprint to orchestrate multi-step investigations and generate comprehensive, cited reports from enterprise data.
Master the essential model compression techniques to deploy high-performance, cost-efficient Large Language Models at scale.
Learn how to design intelligent agents that can be adapted for arbitrary environments at scale.
Just like how humans have multiple senses to perceive the world around them, computers have a variety of sensors to help perceive the human world.
Data engineering for physical AI.
Paid live cohort from Maven covering machine learning and generative AI, sourced from Machine Learning for Engineers.
Paid live cohort from Maven covering RAG and LLM systems, sourced from Agentic AI for Engineers, Agentic AI for Product Managers.
Paid live cohort from Maven covering generative AI, sourced from AI for Product Managers.