AI with Deep Learning

Ever wondered how Spotify knows what music you like or how Facebook recognizes your friend’s face in a photo?
Deep Learning (DL) has become one of the most rapidly evolving fields of the 21st century. Tech giants like Facebook, Google and Amazon are using DL for powerful AI solutions from automating warehouse operations to recommending products to customers.

The AI with Deep Learning Program by Great Lakes Executive Learning is meant for those who already have strong foundations in machine learning and want to enhance their knowledge by learning advanced AI and Deep Learning algorithms. This will not only allow you to solve a variety of business problems using data such as image and text but will also let you discover opportunities for the way forward in your career.

If you're excited about learning the cutting edge technologies and algorithms in the field of AI & Deep Learning, this new age program will provide you with these skills to advance in your career.

Registration Deadline: Today

About the Program

This 15 weeks program is designed to take you through the cutting-edge algorithms of Deep Learning, starting with Artificial Neural Networks, transitioning further into applications of Deep Learning - Computer Vision and Natural Language Processing

The program consists of 3 courses that are delivered following our learning structure that includes recorded lectures by faculty, application based learning approach with projects and quizzes, and interactive mentored learning sessions by industry experts.

At the end of this program, you will gain access to an e-Portfolio that showcases your accomplishments throughout the program, and a certificate from Great Lakes Executive Learning.

Your Learning Outcomes

  • 15 weeks of Application based learning on Artificial Neural Networks, Computer Vision and Natural Language Processing
  • 3 comprehensive hands-on projects to implement your learnings
  • e-Portfolio to showcase your projects and accomplishments throughout the program
  • Academic support and dedicated Program Managers to help you with your learning journey
  • Certificate from Great Lakes Executive Learning

Faculty and Mentors

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Dr. Kumar Muthuraman

Faculty Director, Centre for Research and Analytics
McCombs School of Business, The University of Texas at Austin

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Dr. Daniel Mitchell

Clinical Assistant Professor, Department of Information, Risk & Operations Management,
McCombs School of Business, The University of Texas at Austin

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Bradford Tuckfield


Founder and Data Science Consultant,
Kmbara


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Dr Sunil Kumar Vuppala


Director, Data Science,
Ericsson


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Curriculum

Neural Networks(1 Project, 4 Quizzes and 5 case studies)

Introduction to Neural Networks

  • Overview of Neural Networks
  • Multi Layer Perceptron
  • Types of Activation Functions
  • Training the Neural Network

Optimizing Neural Networks

  • Optimizers
  • Weight Initialization
  • Regularization
  • Different Neural Network Models

Computer Vision(1 Project, 4 Quizzes and 4 case studies)

Introduction to Image Processing(self paced)

  • Overview of Computer Vision
  • Color Pixel Theory and Image Representation
  • Edge Detection and Kernels
  • Padding, Strides, and Pooling

Introduction to Convolutional Neural Networks

  • ANNs vs CNNs
  • Introduction to CNN Architecture

Transfer Learning

  • Regularization in CNN's
  • Introduction to Transfer Learning
  • Common CNN Architectures

Object Detection

  • Introduction to Object Detection
  • Different algorithms for Object Detection
  • Applications of Object Detection

Object Segmentation

  • Introduction to Image Segmentation
  • Semantic Segmentation
  • Siamese Networks
  • Applications of Image Segmentation

Natural Language Processing(1 Project, 4 Quizzes and 6 case studies)

Introduction to Natural Language Processing

  • Introduction to NLP
  • History of NLP
  • Applications of NLP
  • Text Processing
  • Text Vectorization
  • Sentiment Analysis

Word Embeddings

  • Introduction to Word Embeddings
  • Word2Vec
  • GloVe
  • Semantic Search

Attention Mechanism and Transformer Models

  • Introduction to Transformers
  • Components of a Transformer
  • Different Transformer Architectures
  • Applications of Transformers

Large Language Models and Prompt Engineering

  • Introduction to LLMs
  • Working of LLMs
  • Applications of LLMs
  • Introduction to Prompt Engineering
  • Strategies for devising prompts

Additional Self-paced Modules

GANs

  • Introduction to GANs
  • Working of GANs
  • KL & JS Divergence
  • Types of GANs
  • Evaluating GANs
  • Applications of GANs

Reinforcement Learning

  • Introduction to Reinforcement Learning
  • Reinforcement Learning Framework
  • Working of the different components of Reinforcement
  • Q-Learning
  • SARSA Algorithm

Visualization using TensorBoard

  • Tensorboard
  • Visualizing weights, bias, and gradients
  • Occlusion experiment
  • Saliency maps
  • Neural style transfer

Projects

Bank Customer Churn Prediction

Plant Seedlings Image classification using CNNs

Customer Support Ticket Categorization

Certificate

Get a PGP-AIML certificate from the Great Lakes Executive Learning

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e-Portfolio

Showcase your skills and accomplishments throughout the program with your very own e-Portfolio.

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Testimonials

Rakesh mittal
Rakesh Mittal

Associate Professor, New York Institute of Technology

As a professor of Business Analytics, I have been able to share this knowledge with my students for their professional growth. I highly recommend the AI with Deep Learning Program to anyone who is seeking theoretical and practical knowledge in the domain.

Daniel Naval
Daniel Naval

Subsurface AI Engineer, Shell

I highly recommend the AI with Deep Learning Program. For someone who is new to the field, it gave me a detailed idea of the Deep Learning concepts, right from the very basic.. Not only their course material, but their mentors are also amazing.

FAQs

How can I pay the fee for this program?

You shall receive a payment link once you register your interest on this website.

Is there an option for paying in installments?

You have an option to pay in two installments

  • Admission Fee - INR 15,000 (incl GST), to be paid before the cohort starts
  • Second installment - INR 1,12,288 + GST, to be paid within a month’s time of the cohort start

Will I be getting any discounts for this program?

As the program is being offered only for the alums, the discount has been taken into account already.

Will the projects reflect on my e-Portfolio?

Yes. The projects you complete during this course will be reflected in the portfolio for this program.