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.

4.71 (2497 reviews)

Udemy

platform

English

language

Data Science

What you will 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

Course Gallery

Artificial Intelligence Masterclass + ChatGPT Prize [2025] – Screenshot 1 — Screenshot 1 – Artificial Intelligence Masterclass + ChatGPT Prize [2025]

Artificial Intelligence Masterclass + ChatGPT Prize [2025] – Screenshot 2 — Screenshot 2 – Artificial Intelligence Masterclass + ChatGPT Prize [2025]

Artificial Intelligence Masterclass + ChatGPT Prize [2025] – Screenshot 3 — Screenshot 3 – Artificial Intelligence Masterclass + ChatGPT Prize [2025]

Artificial Intelligence Masterclass + ChatGPT Prize [2025] – Screenshot 4 — Screenshot 4 – Artificial Intelligence Masterclass + ChatGPT Prize [2025]

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Comidoc Review

Our Verdict

This course excels at providing a deep theoretical understanding, making it appealing for those seeking knowledge of AI, particularly Hybrid Intelligence Systems and Deep NeuroEvolution. However, the outdated code poses issues that must be addressed to ensure practical application and an engaging learning experience for beginners.

What We Liked

Comprehensive coverage of Hybrid AI Models and Deep NeuroEvolution
In-depth explanations of complex concepts, ideal for those with some background in AI
Well-presented theory and modern tools bring practical examples to life

Potential Drawbacks

Outdated code and package installations pose challenges
Insufficient mathematical equations and explanation of cost functions
Lacks hands-on implementation of advanced modules causing frustration for beginners