Overview of Course

The Deep Learning with Python Training course is designed for learners who want to master the fundamentals of Deep Learning and gain expertise in building deep neural networks using Python. The course covers various deep learning concepts, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and autoencoders.

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Course Highlights

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Hands-on experience with popular deep learning libraries like TensorFlow and Keras

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Real-world applications of deep learning

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Expert-led training with industry professionals<br /><br />

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Skills You’ll Learn


Understand the fundamentals of deep learning


Build and deploy deep neural networks using TensorFlow and Keras


Develop applications such as image and speech recognition, natural language processing, and recommendation systems


Analyze and optimize deep learning models


Gain expertise in various deep learning techniques

Training Options

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1-on-1 Training

On Request
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

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  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews


  • Tensorflow
  • Keras                                      

  • ANN Intuition
  • The Neuron
  • The Activation Function
  • How do Neural Networks work?
  • How do Neural Networks learn?
  • Gradient Descent
  • Stochastic Gradient Descent
  • Back propagation
  • Building an ANN
  • Installing Keras
  • Evaluating the ANN
  • Improving the ANN
  • Tuning the ANN

  • Matplotlib
  • Pillow
  • OpenCV

  • CNN Intuition
  • What You'll Need for CNN
  • What are convolutional neural networks?
  • Step 1(a) - Convolution Operation
  • Step 1(b) - ReLU Layer
  • Step 2 - Pooling
  • Step 3 - Flattening
  • Step 4 - Full Connection
  • Softmax & Cross-Entropy
  • Building a CNN
  • Evaluating CNN
  • Improving CNN
  • Tuning the CNN

  • RNN Intuition
  • The idea behind Recurrent Neural Networks
  • The Vanishing Gradient Problem
  • LSTMs
  • Practical intuition
  • EXTRA: LSTM Variations
  • Building a RNN
  • Evaluating RNN
  • Improving RNN
  • Tuning RNN

  • SOMs Intuition
  • How do Self-Organizing Maps Work?
  • Why revisit K-Means?
  • K-Means Clustering (Refresher)
  • How do Self-Organizing Maps Learn?
  • Reading an Advanced SOM?

  • Tokenization
  • Stemming
  • Lemmatization
  • POS TagName
  • Entity Recognition
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Target Audience:

  • Software developers
  • Data scientists
  • Machine learning engineers
  • Anyone interested in deep learning
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  • Basic programming knowledge in Python
  • Understanding of linear algebra and calculus
  • Familiarity with machine learning concepts
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Benefits of the course:

  • Master the fundamentals of deep learning
  • Hands-on experience with popular deep learning libraries
  • Learn to develop applications for real-world problems
  • Expert-led training with industry professionals
  • Flexible learning options
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Exam details to pass the course:

  • There is no exam to pass the course.
  • The course is designed to provide hands-on experience and practical knowledge in deep learning concepts.
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Certification path:

  • After completing the Deep Learning with Python Training course, you will receive a certificate of completion from Skillzcafe.
  • There are no additional certifications required to learn this course.
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Career options after doing the course:

  • Machine learning engineer
  • Data scientist
  • Deep learning researcher
  • AI developer
  • Computer vision engineer

Why should you take this course from Skillzcafe:

Why should you take this course from Skillzcafe:
  • Bullet Icon Expert-led training with industry professionals
  • Bullet Icon Hands-on experience with popular deep learning libraries
  • Bullet Icon Flexible learning options
  • Bullet Icon Certificate of completion from Skillzcafe
  • Bullet Icon Lifetime access to course materials


The Deep Learning with Python Training course is a 45-hour program.

No, prior experience in deep learning is not required, but basic knowledge of programming and machine learning concepts is recommended.

The course is taught using Python, which is one of the most popular programming languages for deep learning.

Yes, once you complete the course, you will have lifetime access to the course materials, including videos, exercises, and projects.

You will work on various real-world projects, such as image and speech recognition, natural language processing, and recommendation systems, to apply the concepts you learn in the course.

You will need a computer with internet access and a Python environment set up with TensorFlow and Keras installed. The course instructors will provide guidance on setting up the required software.

Skillzcafe has a 7-day money-back guarantee. If you are not satisfied with the course, you can request a full refund within 7 days of the course start date.

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