Discover how the new generation of hybrid AI models combines deep learning, Neuroevolution and evolutionary strategies to create more adaptive, efficient systems ready to tackle tomorrow's challenges
Artificial Intelligence is evolving at an unprecedented pace, and hybrid models represent the next big leap in the development of intelligent systems. In this Artificial Intelligence Masterclass you'll learn to build from scratch a hybrid AI model by combining the most advanced techniques in the industry, including Deep Learning, Deep Reinforcement Learning, Policy Gradients, and Deep Neuroevolution.
Over 10 hours of hands-on training, you'll discover how to integrate different AI approaches to develop more robust, efficient, and adaptive solutions. You won't just understand the theory behind each model—you'll also learn to implement them step by step using TensorFlow and Keras, two of the most widely-used frameworks in Artificial Intelligence projects.
Beyond the training content, you'll get a complete reusable toolkit with ready-to-use implementations you can apply to your own projects. This lets you speed up the development of new AI applications, reuse advanced architectures, and experiment with hybrid systems that combine the strengths of multiple machine learning algorithms.
If you want to go beyond traditional models and learn how the most advanced Artificial Intelligence systems are built, this masterclass will give you the knowledge, tools, and methodology to design hybrid models ready to tackle modern AI challenges.
Learn to develop Artificial Intelligence systems from the ground up through advanced implementations ready to apply in real-world projects.
Understand how Autoencoders and Variational Autoencoders work to generate efficient representations and generative models.
Implement fully connected, convolutional, and recurrent neural networks using TensorFlow and Keras.
Train intelligent agents through Deep Reinforcement Learning and Policy Gradient algorithms to solve complex problems.
Learn how to optimize neural networks through genetic algorithms, evolutionary strategies, and Deep Neuroevolution.
Discover how to use Covariance Matrix Adaptation Evolution Strategies (CMA-ES) to find high-performance solutions.
Combine Deep Learning, Reinforcement Learning, and Neuroevolution to create more powerful and efficient hybrid Artificial Intelligence systems.
Get ready-to-use implementations in TensorFlow and Keras that you'll be able to adapt and reuse across different Artificial Intelligence projects.
Gain a comprehensive view of the most advanced techniques for building intelligent systems ready to solve real-world problems.
Ligency Team is an international team of experts in programming, artificial intelligence, data science and technology, founded by Kirill Eremenko and Hadelin de Pontevés, creators of some of the world's most popular courses in these disciplines. With millions of students and a multidisciplinary team of over 20 professionals, our mission is to offer practical, high-quality training that helps people at any level develop relevant technological skills. Since 2018, our courses have been available in Spanish thanks to the collaboration with Juan Gabriel Gomila and Frogames Formación, bringing the best educational content to the Spanish-speaking community.
Mathematician, Certified Unity Instructor, and Online Instructor who has trained over 600,000 students worldwide across different platforms such as Udemy and Platzi. CEO of Frogames Formación and driving force behind this platform, bringing all his knowledge in Mathematics, Machine Learning, Videogames, AI and Blockchain among others.
Buy the course once and access it for life
Access all Frogames courses, communities and extras
Access all courses in the Path of
