Udemy – Deep Learning Mastery: Build your AI Foundation 2025-3

In this course, participants will gain a deep understanding of the core logic of deep learning algorithms and master the techniques for building deep neural networks. They will delve into various neural network architectures such as Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTM), Gated Recurrent Units (GRU), and most importantly, the Transformer architecture that underpins all of the latest AI, Large Language Models (LLM), and Large Multimodal Models (LMM).

What you will learn

• Mastering deep learning for computer vision, time series, and diverse natural language processing (NLP) tasks: sentiment analysis, translation, and text generation.
• Building deep learning-based computer vision models from scratch through transfer learning.
• Building large language models (LLMs) similar to GPT-1 from scratch.
• Mastering the architecture of transformers: the foundation of all the latest Large Language Models (LLM) and Large Multimodal Models (LMM).
• Acquire the skills necessary to understand and contribute to the development of large language models (LLM) and generative artificial intelligence models.
• Mastery of TensorFlow/Keras for building deep learning and AI models.

This course is suitable for people who:

• Any professional who wants to build deep learning and language models from scratch.
• Any IT professional who wants to build a strong foundation in deep learning and artificial intelligence.
• Anyone interested in artificial intelligence and understanding the basics of deep learning.
• Data scientists, data engineers, and machine learning engineers who want to advance their skills in artificial intelligence and deep learning.

Installation Guide

After Extract, view with your favorite player.

Subtitles: English

Quality: 720p

Changes:

Version 2025/3 compared to 2025/1 has increased by 1 lesson and 4 minutes in duration. English subtitles were also added to the course.