Deep Learning Corporate Training Course

Learnitfy's Deep Learning course assists both students and professionals in understanding how to design intelligent systems using neural networks. Through this Deep Learning training, learners can create intelligent systems with the help of neural networks practically and in a simplified manner. From being an AI beginner to working as a data scientist or developer, this course will aid you in creating practical knowledge through hands-on learning and mentoring.

50 hoursOne-on-One TrainingNext live batch Mon, 2 Nov, 2026

Deep Learning Corporate Training Course course cover

Course Content

Deep Learning Course Overview

Deep Learning Training Objectives

Learnitfy's Deep Learning training assists learners in attaining fundamental to advanced levels of deep learning skills like neural networks, RNNs, LSTMs, CNNs, and model deployment. In the Deep learning course, through real-world projects and lab work, learners will be taught how to approach AI problems in various industries with hands-on tools.

What you Will Learn

Train code in Python together with libraries such as TensorFlow and PyTorch.

Create and train deep neural networks from scratch.

Apply CNNs in classifying images.

Use RNNs and LSTMs in sequential data applications.

Deal with overfitting through dropout and regularisation.

Apply real-life data to make classifications and predictions.

Implement deep learning models in practice.

Who should enroll

Data Scientists & Machine Learning Engineers
Software Developers & AI Engineers
Data Analysts Transitioning to AI Roles
Researchers & Academics

Prerequisites

Programming knowledge, usually Python.
Understanding of machine learning fundamentals
Knowledge of mathematics (linear algebra, probability, statistics, calculus basics)
Experience with ML libraries (NumPy, Pandas, Scikit-learn) will be an add-on

Curriculum

Module 1Introduction to Deep LearningRead moreShow less

What is Deep Learning?
Difference between AI, ML, and DL
Applications of Deep Learning
Overview of Neural Networks
Deep Learning Frameworks: TensorFlow, PyTorch, Keras

Module 2Mathematics for Deep LearningRead moreShow less

Linear Algebra essentials
Probability and Statistics basics
Calculus for optimization (gradients, chain rule)
Loss functions & cost functions

Module 3Neural Networks BasicsRead moreShow less

Perceptron and Multi-layer Perceptron (MLP)
Activation Functions: Sigmoid, Tanh, ReLU, Leaky ReLU, Softmax
Forward Propagation
Backpropagation and Gradient Descent
Overfitting and Regularization (L1, L2, Dropout)

HELP CENTER

Frequently Asked Questions

Learnitfy is a learning platform designed for students, professionals, teams, and organisations seeking to develop their technical skills and proficiency. Deep Learning training gives you confidence, verifies your knowledge, and helps you become employable when competing in other industries, as it enables learners to form their own uniqueness within careers.

Course Brochure

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Choose how you learn

One course. Flexible learning paths.

Instructor-led training

Live Online Training

50 hours

Corporate training

Custom team training

Need individual attention? Ask about one-to-one guidance in the enquiry form.

Course Completion

Receive a Learnitfy Course Completion Certificate

Complete the course Learning Path to Receive a Certificate that Records your Course and Completion.

Digital Certificate for Convenient Sharing
Recorded Course Title and Completion