Udemy

Artificial Intelligence Masterclass + ChatGPT Prize [2025]

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  • 21,013 Students
  • Updated 9/2025
  • Certificate Available
4.5
(2,622 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
12 Hour(s) 5 Minute(s)
Language
English
Taught by
Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Ligency ​
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.5
(2,622 Ratings)

Course Overview

Artificial Intelligence Masterclass + ChatGPT Prize [2025]

Enter the new era of Hybrid AI Models optimized by Deep NeuroEvolution, with a complete toolkit of ML, DL and AI models.

Today, we are bringing you the king of our AI courses:


The Artificial Intelligence MASTERCLASS


Are you keen on Artificial Intelligence? Do you want to learn to build the most powerful AI model developed so far and even play against it? Sounds tempting right?


Then Artificial Intelligence Masterclass course is the right choice for you. This ultimate AI toolbox is all you need to nail it down with ease. You will get 10 hours step by step guide and the full roadmap which will help you build your own Hybrid AI Model from scratch.


In this course, we will teach you how to develop the most powerful Artificial intelligence model based on the most robust Hybrid Intelligent System. So far this model proves to be the best state of the art AI ever created beating its predecessors at all the AI competitions with incredibly high scores.


This Hybrid Model is aptly named the Full World Model, and it combines all the state of the art models of the different AI branches, including Deep Learning, Deep Reinforcement Learning, Policy Gradient, and even, Deep NeuroEvolution.


By enrolling in this course you will have the opportunity to learn how to combine the below models in order to achieve best performing artificial intelligence system:

  • Fully-Connected Neural Networks

  • Convolutional Neural Networks

  • Recurrent Neural Networks

  • Variational AutoEncoders

  • Mixed Density Networks

  • Genetic Algorithms

  • Evolution Strategies

  • Covariance Matrix Adaptation Evolution Strategy (CMA-ES)

  • Parameter-Exploring Policy Gradients

  • Plus many others


Therefore, you are not getting just another simple artificial intelligence course but all in one package combining a course and a master toolkit, of the most powerful AI models. You will be able to download this toolkit and use it to build hybrid intelligent systems. Hybrid Models are becoming the winners in the AI race, so you must learn how to handle them already.


In addition to all this, we will also give you the full implementations in the two AI frameworks: TensorFlow and Keras. So anytime you want to build an AI for a specific application, you can just grab those model you need in the toolkit, and reuse them for different projects!

Don’t wait to join us on this EPIC journey in mastering the future of the AI - the hybrid AI Models.

Course Content

  • 13 section(s)
  • 91 lecture(s)
  • Section 1 Introduction
  • Section 2 Step 1 - Artificial Neural Network
  • Section 3 Step 2 - Convolutional Neural Network
  • Section 4 Step 3 - AutoEncoder
  • Section 5 Step 4 - Variational AutoEncoder
  • Section 6 Step 5 - Implementing the CNN-VAE
  • Section 7 Step 6 - Recurrent Neural Network
  • Section 8 Step 7 - Mixture Density Network
  • Section 9 Step 8 - Implementing the MDN-RNN
  • Section 10 Step 9 - Reinforcement Learning
  • Section 11 Step 10 - Deep NeuroEvolution
  • Section 12 The Final Run
  • Section 13 Congratulations!! Don't forget your Prize :)

What You’ll Learn

  • How to Build an AI
  • How to Build a Hybrid Intelligent System
  • Fully-Connected Neural Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • AutoEncoders
  • Variational AutoEncoders
  • Mixture Density Network
  • Deep Reinforcement Learning
  • Policy Gradient
  • Genetic Algorithms
  • Evolution Strategies
  • Covariance-Matrix Adaptation Evolution Strategies (CMA-ES)
  • Controllers
  • Meta Learning
  • Deep NeuroEvolution


Reviews

  • E
    Efrain Chavez
    4.0

    I am unfamiliar with much of the terms but it was still interesting although I need to learn more terms.

  • S
    Srinivasa Atla
    5.0

    ..

  • S
    Shadab Sayed
    5.0

    Excellent

  • E
    Enamul Haque
    3.5

    Good instructor, making this course very ease and comfortable

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