Nvidia Corporation is an American multinational corporation and technology company that is actively towards updating IT professionals with the latest trends and technologies. The company has been offering free IT courses to IT professionals free of cost.

Certification from Nvidia is highly appreciated in the fields of artificial intelligence, where the company’s technologies are commonly used for the training and deployment of models.

Professional accreditation is a big asset in the IT domain, it helps techies to be updated with the new trends and technologies. Therefor , without taking much time, take a quick look at the free IT courses mentioned below –

Generative AI with Diffusion Models
Learning Objectives
Build a U-Net to generate images from pure noise
Improve the quality of generated images with the denoising diffusion process
Control the image output with context embeddings
Generate images from English text prompts using the Contrastive Language—Image Pretraining (CLIP) neural network

Generative AI Explained
Course Outline
Define Generative AI and explain how Generative AI works
Describe various Generative AI applications
Explain the challenges and opportunities in Generative AI

Getting Started with Deep Learning
Learning Objectives
Learn the fundamental techniques and tools required to train a deep learning model
Gain experience with common deep learning data types and model architectures
Enhance datasets through data augmentation to improve model accuracy
Leverage transfer learning between models to achieve efficient results with less data and computation
Build confidence to take on your own project with a modern deep learning framework

Accelerate Data Science Workflows with Zero Code Changes
By participating in this workshop, you’ll :
Understand the benefits of a unified workflow across CPUs and GPUs for data science tasks.
Learn how to GPU-accelerate various data processing and machine learning workflows with zero code changes.
Experience the significant reduction in processing time when workflows are GPU-accelerated.

How to Build a Native OpenUSD XR Application
Learning Objectives
Start building a simple app and USD stage using NVIDIA Omniverse Kit SDK..
Add the Omniverse Spatial Framework to your app.
Interact with Spatial Framework functionality using Python.
Customize an XR interface panel to modify your USD stage.
Stream your app to an immersive device with NVIDIA CloudXR or OpenXR.

Building RAG Agents with LLMs
Learning Objectives
Compose an LLM system that can interact predictably with a user by leveraging internal and external reasoning components.
Design a dialog management and document reasoning system that maintains state and coerces information into structured formats.
Leverage embedding models for efficient similarity queries for content retrieval and dialog guardrailing.
Implement, modularize, and evaluate a RAG agent that can answer questions about the research papers in its dataset without any fine-tuning.