In this module, you'll learn how to set up and configure the NVIDIA DeepStream 6.0 Graph Composer on an X86-based Ubuntu 18.04 system to enable rapid development of Intelligent Video Analytics application pipelines for deployment to cloud and edge-capable devices.

This course helps amp up your prompt engineering skills using Llama 3 through hands-on exercises and real-world use cases.

Learn Python programming with a focus on applications in AI and machine learning development.

Explore principles and practices for developing AI systems responsibly, focusing on fairness and transparency.

Gain foundational knowledge in robotics, covering design, programming, and applications in various fields.

Learn to make intelligent machines and start your Entrepreneurial journey

This course is focused on using the flexibility and “ease of use” of TensorFlow 2.x and Keras to build, train, and deploy machine learning models. You will learn about the TensorFlow 2.x API hierarchy and will get to know the main components of TensorFlow through hands-on exercises. We will introduce you to working with datasets and feature columns. You will learn how to design and build a TensorFlow 2.x input data pipeline. You will get hands-on practice loading csv data, numPy arrays, text data, and images using tf.Data.Dataset. You will also get hands-on practice creating numeric, categorical, bucketized, and hashed feature columns. We will introduce you to the Keras Sequential API and the Keras Functional API to show you how to create deep learning models. We’ll talk about activation functions, loss, and optimization. Our Jupyter Notebooks hands-on labs offer you the opportunity to build basic linear regression, basic logistic regression, and advanced logistic regression machine learning models. You will learn how to train, deploy, and productionalize machine learning models at scale with Cloud AI Platform.

Learn the essentials of Tensorflow from ground up

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

Analyze text data in R using the tidy framework.

This course introduces Vertex AI Studio, a tool for prototyping and customizing generative AI models.

This course introduces Customer Care in the Age of Generative AI.