Earn a certification attesting to your basic knowledge of MIT App Inventor. Timed, 90 minute examination only, no course materials are provided.

This course covers generative AI with OpenAI’s ChatGPT, emphasizing prompt design and practical uses in marketing, research, and code generation.

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

Understand how to implement deep learning models using Keras across multiple backend frameworks.

Explore natural language processing methods to enable machines to understand and generate human language.

This course helps you learn the basics of natural language processing with deep learning and machine learning algorithms.

Deep learning has revolutionized NLP and problems that require a large amount of work in terms of new features. Tuning can now be efficiently solved using NLP.

Understand ethical challenges in generative AI. Learn about challenges, risks, data privacy, algorithmic bias, and decision-making frameworks for responsible use.

With NVIDIA DeepStream, you can seamlessly develop optimized Intelligent Video Applications that can consume multiple video, image, and audio sources. You can also apply single or cascading inference operations to video frames in real-time, and transmit inference results to the cloud for archiving or additional processing.

In this module, you'll publish and deploy an ARM-based DeepStream container workload to NVIDIA embedded hardware by using Azure IoT Edge.

Use a Live Video Analytics module to deploy a machine learning solution to an IoT Edge device. The solution will process a video feed from cameras and detect objects at the edge using a YOLO model to perform inferencing operations. Check that the solution is successfully deployed and test your solution from a web application.

Completely practical oriented with Realtime Dataset | No Coding Background Required | Anyone can Learn!