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.
Learn to import robotic assets, add sensors, and run simple simulations.
Learn to train and deploy perception models using synthetic data generation (SDG), applying domain randomization and simulation for real-world robotics.
Learn the fundamentals of Software in the Loop (SIL) using NVIDIA Isaac Sim and ROS 2 to test, validate, and develop robotics software in simulated environments.
Bridge the gap between simulation and real-world robotics using ROS 2, Isaac Sim, and NVIDIA Jetson with HIL.
Learn how to build a variety of LLM-based applications through the use of modern prompt engineering techniques.
Data science is about using scientific methods, processes, algorithms, and systems to analyze and extract insights from data.
Get started quickly in developing LLM-based applications by exploring the open-sourced ecosystem including pretrained LLMs.
A Beginner's Guide to Autonomous Robots
NVIDIA DLI
An introduction to autonomous robots and robotic systems.
Learn how to design intelligent agents that can be adapted for arbitrary environments at scale.
NVIDIA FLARE is a domain-agnostic, open-source, and extensible Python SDK for Federated Learning.
Learn how to implement privacy-preserving distributed machine learning with NVFlare.
NeMo Curator is a GPU-accelerated data-curation tool that improves generative AI model accuracy by processing text, image, and video data at scale for training and customization.