Artificial Intelligence
Showing 481–492 of 684 results
Learn to build an AI assistant like JARVIS using Python
Building an AI Powered Assistant like JARVIS.
Learn to Program Alexa
Learn how to build and host Alexa Skills that respond to users’ vocal commands.
Learning Django Using Generative AI Help
Learn Django using generative AI tools. Dive into Django's MTV architecture, use AI tools for project setup, and create a robust web application.
Learning OpenCV from Scratch with C++
A beginner-friendly guide to learning OpenCV using C++, covering computer vision techniques and practical applications.
Linear Algebra Refresher Course
Review essential linear algebra concepts and techniques for applications in machine learning and AI.
LinuxFoundationX: Business Considerations for 5G with Edge, IoT, and AI
Learn how wireless networks with 5G are set to power a whole new world with ttechnologies like IoT, Edge, and AI and what businesses and leaders need to do to prepare and get ready.
LinuxFoundationX: Business Considerations for Edge Computing
Edge Computing utilizes real-time processing and data analysis at the edge of the network - nearest the device or user - in order to enable digital transformation and power new technologies.
LinuxFoundationX: Data and AI Fundamentals
Learn the fundamentals of Artificial Intelligence with a combination of AI fundamentals and an overview of the rich Linux Foundation AI & Data projects ecosystem. It is well-suited for any kind of AI adopter, regardless of the professional background and level of technical knowledge.
LinuxFoundationX: Open Source and the 5G Transition
Open source software and standards are driving the transition to 5G, AI and IoT. Learn what open source technologies matter most and why.
LinuxFoundationX: PyTorch and Deep Learning for Decision Makers
Learn how PyTorch, a deep learning framework, can be used to automate and optimize processes through the development and deployment of state-of-the-art AI applications. The course will also help you understand the importance of data quality, how to choose the right model, and the challenges in deploying and maintaining both deep learning and machine learning applications.
Literacy Essentials: Core Concepts Generative Adversarial Network
This course will teach you the theory and code behind General Adversarial Networks (GANs). GANs are self-evaluating and self-improving networks that can create the stunning results you see in generated photos, videos, and sounds.
Literacy Essentials: Core Concepts Recommender Systems
This course will teach you different types of recommendation techniques to suggest new items based on users' past interaction history in order to improve the overall user experience and increase the sales and revenue for the enterprise.