Deep learning using Python training

Cybersecurity Training
  • Online (Microsoft Teams)
  • +971 562069465
  • This course provides a comprehensive introduction to deep learning concepts and techniques using the Keras deep learning library in Python. Participants will learn about Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) for computer vision tasks, Long Short-Term Memory (LSTM) networks for time series analysis, and Autoencoders for data compression and feature learning.

  • By the end of this course, participants should be able to:

    • Understand the fundamentals of artificial neural networks (ANNs) and deep learning.
    • Implement ANNs using the Keras library.
    • Develop Convolutional Neural Networks (CNNs) for computer vision tasks.
    • Create Long Short-Term Memory (LSTM) networks for time series analysis.
    • Build Autoencoders for data compression and feature extraction.
  • Training will be conducted via Microsoft Team Meeting. Meeting invites will be shared on the day before the first day of training.

    • 5 days (30 hours)
    • Presentation Slides
    • Training Recordings
    • Study References
  • Upon successful completion of training, participants will receive a certificate.

  • This course is appropriate for a wide range of professionals but not limited to:

    • Data scientists and machine learning practitioners interested in deep learning.
    • Developers looking to build expertise in neural networks and deep learning.
    • Anyone interested in understanding and applying deep learning techniques for various applications.
    • Participants should have a solid understanding of Python programming
    • Basic machine learning concepts
  • Participants can avail a discount of either an early bird or group discount whichever is higher with an additional discount when signing up for 2 or more courses.

    Group Discount (same company only)

    • 15% Discount for groups of 5 or more
    • 10% Discount for groups of 3-4

    Bundle Discount

    • Sign up for 2 courses and get an extra 10% off
    • Sign up for 3 courses and get an extra 15% off
how can we help you?

Contact us at the Velosi office nearest to you or submit a business inquiry online.

Fees + VAT as applicable

Tax Registration Number: 100442245500003

(including coffee breaks and a buffet lunch daily)

Course Outline

  • Module 1: Introduction to Deep Learning

    • What is deep learning?
    • Key concepts and terminology.
    • Deep learning applications.
  • Module 2: Artificial Neural Networks (ANNs)

    • Structure of ANNs.
    • Activation functions.
    • Training ANNs with backpropagation.
  • Module 3: ANN Implementation with Keras

    • Introduction to Keras.
    • Building and training ANNs using Keras.
    • Hyperparameter tuning and optimization.
  • Module 4: Convolutional Neural Networks (CNNs)

    • CNN architecture and layers.
    • Image data preprocessing.
    • Training CNNs for image classification.
  • Module 5: Recurrent Neural Networks (RNNs) and LSTMs

    • Introduction to RNNs.
    • The need for LSTMs.
    • Training LSTMs for time series analysis.
  • Module 6: Autoencoders

    • What are autoencoders?
    • Architecture of autoencoders.
    • Applications of autoencoders, including data compression and denoising.