Course Details

Learn from IIT Faculty, Industry Experts & Campus Immersion at IIT Roorkee* (T/C Apply).

Deep Learning for AI: Mastering Neural Networks

Course Overview:
Deep Learning (DL) has revolutionized industries due to its ability to effectively predict outcomes from large Datasets and make complex predictions or decisions. Ranging from the domains like Computer Vision, Natural Language processing, Speech Recognition to the sectors of Healthcare, Finance, e-commerce; DL techniques powers innovation in different sectors. Therefore, this course is meticulously designed to take participants from the fundamentals of Deep Learning to advanced concepts. Starting from Python basics and important Python libraries used for DL, there will be a deep dive into the use of deep neural networks to solve complex problems and make predictions. So, anyone looking to kickstart a career in Artificial Intelligence or looking upskill in this transformative field; this course provides the best opportunity that equips him/her with the knowledge and skills to thrive in this exciting field and explore abundant career opportunities.

Course Objectives:
❖ To understand the fundamentals of Deep Learning, its techniques and applications in detail.
❖ To make the participants well-versed in using various python libraries for Deep Learning.
❖ To provide a solid foundation in neural network architectures, such as artificial neural networks (ANNs), convolutional neural networks (CNNs) and recurrent neural networks (RNNs) etc.
❖ To make the participants comfortable in using deep neural networks to solve complex problems and predict outcomes from large datasets.
❖ To make them able to use suitable deep learning algorithms and techniques for solving real-world problems.

Batch Details:
Class Timings: 7:00 pm – 9:00 pm (Wednesday & Friday) Start Date: 26th Mar 2025
Duration: 3.5 Months (64 Hours) End Date: 11th July 2025
Mode: Online Certification: iHUB Divyasampark IIT Roorkee
Last Date to Register: 25th March 2025
Course Fee: Students/PhD Scholars/RA/JRF/SRF/Postdoc fellows: Rs. 11,000/-
Faculty/Working Professional: Rs. 13,000/-

Link to Register: https://rzp.io/rzp/DeepLearningforAI

Few Hands-on Projects:

1. MNIST Digit Classification : Build a neural network to classify handwritten digits from the MNIST dataset. This project introduces you to the basics of image processing, neural network architecture, and model evaluation, laying the foundation for more advanced concepts.
2. Fashion-MNIST (FMNIST): Level up your skills by classifying fashion items like shirts, shoes, and bags using the Fashion-MNIST dataset. This project helps you tackle multi-class classification, optimize hyperparameters, and visualize model performance for better insights.
3.CIFAR-10: Dive into real-world image classification with the CIFAR-10 dataset, which includes objects like airplanes, cars, and animals. Learn to build and train convolutional neural networks (CNNs), apply data augmentation, and address overfitting to improve model accuracy.
4. Cat vs. Dog Classification: Build a binary classifier to distinguish between images of cats and dogs, working with real-world image data. This project teaches you transfer learning using pre-trained models, binary classification techniques, and strategies to handle imbalanced datasets.
5. Malaria Cell Detection: Apply deep learning to a healthcare challenge by classifying malaria-infected cells from healthy ones. This project introduces you to medical imaging data, ethical considerations in AI, and how to build models that can make a positive social impact.

Contact Person:
Dr. Subrat Kotoky
CTO, Ritvij Bharat Private Limited
Ph.D. in Mechanical Engineering (IIT Guwahati)
rbpl.edu@gmail.com; subrat.kotoky@ritvij.co.in
9085317465/8473874389

Expert Profile:

Mr. Shreyas Shukla
Professional Corporate Trainer & Microsoft Azure Certified Data Engineer
MTech-IIT Kharagpur & BE- The Aeronautical Society of India, New Delhi
4+ years of experience in leading online professional courses for different leading organizations

Has successfully conducted 25+ courses and trained 1500+ learners in the fields of Python Programming, Data Analytics, Machine Learning, Deep Learning, Computer Vision etc. till now.

Certifications:
1. DP-203: Microsoft Certified: Azure Data Engineer Associate
2. DP-900: Microsoft Certified: Azure Data Fundamentals
3. AZ-900: Microsoft Certified: Azure Fundamentals

Our Students Rate This Course

4.5

Trainer

Mr. Shreyas Shukla

Program Fee

Rs 11,000/- & Rs. 13,000

Available Seats

100

Schedule

26th Mar 2025 to 11th July 2025

Only Few Seats Left

All certificate images are for illustrative purposes only and may be subject to change at the discretion of the iHUB - IIT Roorkee.

What is included in this course?

Program Certificate form iHUB DivyaSampark, IIT Roorkee
Live & Self Paced learning for better engagement
No repetitive calls, only as per convenience
Opportunity to meet your mentors through Campus Immersion
25+ hand-on project with integrated labs

Apply Now To Secure a Seat!

Reviews

Testimonials

Module

1

-Basics of Python: Objects and Data Types,

-Statements like if-elif-else, for, while etc., Methods and Functions

- Object Oriented Programming (OOPs) with Python

- NumPy Basics: Arrays, Index Selection and Operations

- Python for Data visualization & plotting using libraries like Matplotlib.

- PyTorch & Tensor Basics and Operations for Deep Learning Applications.

Module

2

- Machine Learning Basics, Introduction to supervised & unsupervised learning, Bias-Variance Trade-off, Loss Functions, Gradient Descent.

Linear Regression for One & Multiple Variables

- Ordinary Least Square, Dummy Variables, One Hot Encoding, Polynomial Regression

- Anscombe’s quartet, Performance Metrics like Mean Absolute Error, Root Mean Squared Error

- Logistic Regression, Sigmoid Function, Anscombe’s quartet

-Confusion Matrix, interpreting parameters like F-1 score, Accuracy, Precision, Recall etc.

Module

3

-Introduction to Deep Learning

- Artificial Neural Networks

-Perceptron Model, Activation Functions

-Forward and Backward Propagation

-Bias-variance trade off, Overfitting & Underfitting of Deep Learning Models

-Discussion on Keras and TensorFlow

Module

4

-Image and Pixels basics for Neural Networks.

-Convolutional Neural Networks, Pooling

Layers, Convolutional Layers

-Striding, Image Kernels and Filters, Convolution Kernels

-CNNs for Computer Vision : Object Detection and Interpretation in Images.

-Local connectivity, Pooling/Downsampling Layer

Module

5

-Max Pooling, Dropout Technique, AlexNet

- Recurrent Neural Networks, Sequential Information, Recurrent Neurons, “Unrolled” layer.

- Sequence to Sequence, Sequence to Vector, Vector to Sequence, Exploding Gradients, Vanishing Gradient

-Long Short-Term Memory (LSTM) networks, RNN on a Sine Wave

-Multivariate Time Series with LSTM RNN

Module

6

-Natural Language Processing with Deep Learning: Embedding Layer,

-Gated Recurrent Unit, Dense

-Text Vectorization and Encoding Dictionary

- Autoencoders: Dimensionality Reduction and Noise Removal

-Generative Adversarial Networks (GANs): Generators and Discriminators, Deep Convolutional GANs (DCGANs)

NEWS & UPDATES

Career Transitions

55% Average Salary Hike

$1,27,000 Highest Salary

800+ Career Transitions

300+ Hiring Partners

Who Can Apply for the Course?

No coding experience required. We’ll start from scratch.
This course can be taken up by any undergraduate/postgraduate student of Basic & Applied Sciences, Engineering, and Computer Applications and also by Research Scholars/Faculties/Working Professionals who want to upskill themselves
Participants need to have a laptop/PC (with a minimum of 4 GB RAM, 100 GB HDD, Intel i3processor with Windows/Mac-OS only) and proper internet/Wi-Fi connection.

About Program

This program by iHub Divya Sampark, IIT Roorkee helps you gain the data analytics, machine learning, and artificial intelligence skills sought after by top employers.