COURSE OVERVIEW
IT0034 : 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 |
Request For Course Outline |
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:
LecturesPractical 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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