Unreal Engine 4: How to Develop Your First Two Games at Udemy
Epic Games-Approved: learn the Unreal Editor, master the gameplay framework, and use Blueprint to program without coding
Approved by Epic Games and taught by Unreal Engine Evangelist Chris Murphy, this course is for any developer wishing to work in Unreal Engine for creating interactive experiences and/or enterprise fields of real time training simulation, visualization, and media/entertainment. Create realistic games with the complete game development tool – Unreal Engine 4. Start with the fundamentals so that you build a solid base understanding.
* Photos and promotional materials on this page are copyrighted on udemy.com.
We only endorse high-quality online courses and educational content. This page contains affiliate links and we may earn a small commission when you click on the link at no additional cost to you. Thank you!
Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications, and run pre-trained deep learning models for computer vision on-premise. You will identify key hardware specifications of various hardware types (CPU, VPU, FPGA, and Integrated GPU), and utilize the Intel® DevCloud for the Edge to test model performance on the various hardware types. Finally, you will use software tools to optimize deep learning models to improve the performance of Edge AI systems.
Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then, move on to exploring deep and unsupervised learning. At each step, get practical experience by applying your skills to code exercises and projects.
Learn cutting-edge natural language processing techniques to process speech and analyze text. Build probabilistic and deep learning models, such as hidden Markov models and recurrent neural networks, to teach the computer to do tasks such as speech recognition, machine translation, and more!
In this course you will learn data structures and algorithms by solving 80+ practice problems. You will begin each course by learning to solve defined problems related to a particular data structure and algorithm. By the end of each course, you would be able to evaluate and assess different data structures and algorithms for any open-ended problem and implement a solution based on your design choices.