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COURSE OVERVIEW

IT0034 : Deep Learning Essentials - Neural Networks & Applications
Deep Learning Essentials - Neural Networks & Applications
OVERVIEW
COURSE TITLE : IT0034 : Deep Learning Essentials - Neural Networks & Applications
COURSE DATE : May 12 - May 16 2025
DURATION : 5 Days
INSTRUCTOR : Mr. Mohamed Radwan
VENUE : Abu Dhabi, UAE
COURSE FEE : $ 5500
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Course Description

This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops. 
 
This course is designed to provide participants with a detailed and up-to-date overview of Deep Learning Essentials - Neural Networks & Applications. It covers the machine learning and deep learning as well as their applications in healthcare, finance, autonomous systems and more; the concept of optimization in neural networks, backpropagation algorithm, chain rule and variants of gradient descent; the deep learning frameworks, overfitting, underfitting and regularization; the convolutional networks for image processing and CNN architectures covering LeNet-5, AlexNet, VGGNet and ResNet; and the CNN from Scratch, transfer learning, object detection with YOLO and faster R-CNN. 
 
During this interactive course, participants will learn recurrent neural networks (RNNs), long short-term memory (LSTM) and gated recurrent units (GRU); the RNN for text generation, attention mechanisms and transformers; the preprocessing text for sentiment analysis, word embeddings, LSTM model for sentiment classification and evaluating model performance with precision and recall; the generative adversarial networks (GANs), autoencoders and variational autoencoders (VAEs) and deep reinforcement learning (DRL); the Q-learning and deep Q-networks (DQN), AI in gaming and robotics, model deployment and optimization; and the explainability, interpretability and advanced research trends in deep learning. 

link to course overview PDF

TRAINING METHODOLOGY

This interactive training course includes the following training methodologies:

Lectures
Practical Workshops & Work Presentations
Hands-on Practical Exercises & Case Studies
Simulators (Hardware & Software) & Videos

In an unlikely event, the course instructor may modify the above training methodology for technical reasons.

VIRTUAL TRAINING (IF APPLICABLE)

If this course is delivered online as a Virtual Training, the following limitations will be applicable:

Certificates : Only soft copy certificates will be issued
Training Materials : Only soft copy materials will be issued
Training Methodology : 80% theory, 20% practical
Training Program : 4 hours per day, from 09:30 to 13:30

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