Technical Orientation on 22nd September

  • India's #1Research Institute (2021-24) & #1 University
    (2016-24)
    NIRF
  • 10 Months
    Executive Friendly
  • 2 Daysof IISc
    Campus Visit
  • 100% Live Interactive
    Classes

6 ways this Deep Learning course
gives you an edge

  • CCE-IISc Advantage Get Certified by Center for Continuing Education at IISc
  • Expert Faculty Learn from an interdisciplinary team of leading IISc faculty members
  • 1:1 Mentoring Get mentored by researchers and practitioners
  • Distinctive Pedagogy Work on curated industry Capstone Projects
  • Smart Portfolio Establish a compelling portfolio of project work that demonstrates your expertise
  • Methodology Build your deep learning foundations and learn effective applications

Deep Learning Course Curriculum

10 Weeks

  • Linear Algebra
  • Probability and Statistics
  • Numerical Optimization for ML
  • Data Visualization

2 Weeks

  • Supervised Learning
  • Unsupervised Learning

5 Weeks

  • Logistic regression
  • Neural Networks - CNN, RNN, LSTM
  • Backpropagation, Deep networks
  • Regularization, Dropout, Batch Normalization

5 Weeks

  • Introduction
  • Distributed word representations
  • Language Modeling, Convolutional neural networks for Text
  • GRUs, LSTMs for Language Modeling, Attention and Applications, GPT, BERTs and Variants
  • Recurrent Neural Networks (Unidirectional and Bidirectional), Machine Translation, POS, Sentence Classification, Text Generation

4 Weeks

  • Audio representations for deep learning
  • Speech Recognition
  • End-to-end deep networks
  • Detection Models

5 Weeks

  • Popular CNN architectures
  • Transfer learning, autoencoders
  • Object detection,image segmentation
  • RNN and LSTM for image captioning/video

3 Weeks

  • Introduction to sequential decision making under uncertainty
  • Implementing RL algorithms with deep neural networks.
  • Value functions, Finite and infinite Problems

4 Weeks

  • Overview of various ML hardware for IoT/Edge devices
  • Energy Efficiency, IoT/Edge Devices
  • Optimization techniques * ML Model for Edge Devices

5 Weeks

  • Deep Generative Models I
  • Deep Generative Models II
  • Semi and Self-supervised Learning I
  • Semi and Self-supervised Learning II

  • COVID-19 detection using acoustic sounds
  • Use of NLP models for solving simple Math Word Problems
  • Study of Practical BERT models for Sequence Labeling
  • Prompt Learning for Vision Language Models
  • Training a speech recogniser using data from speech synthesis
  • Training a Voice conversion model
  • Reinforcement Learning based Task Offloading in Mobile Edge Computing
  • Anomaly Detection in Industrial IoT
  • Federated Multi-Armed Bandits based Recommender System
  • Interpretable GAN Controls
  • Crafting Adversarial Samples for Deep Models
  • Monocular Depth Estimation
  • Text only training for Image Captioning
  • Zero-shot segmentation using Stable Diffusion
  • Open set zero shot classification via stable diffusion
  • Knowledge distillation for Speech Recognition
  • Time series forecasting via LLMs
  • Lesion Boundary Segmentation
  • Neural Models for Legal Judgement Prediction
  • Optic-Disk-Cup Segmentation and Classification

Showcase your capabilities with real-world projects

Bring Your Own Project
(Learn to solve a problem which you / your organization is facing using Deep Learning)

or

Choose From Curated Capstone Projects

  • Brain Tumor Detection
  • Fraud
    Detection
  • Expression Identification
  • And More..

Deep Learning Portfolio
Showcase your Deep Learning journey in the programme through various experiments and projects in a compelling manner.


Tools covered


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Detailed Curriculum

How will I learn?

A high-impact format perfected for aspirants

  • 10 Months Executive friendly programme
  • IISc faculty members-led Live interactive classes, capstone projects, industry sessions and 2 days of campus visit to IISc
  • 342 hours of immersive learning through classes, practicals, case studies, capstone projects
  • Classes will be held every Saturday between 10:00 AM - 1:30 PM & 2:30 PM - 5:30 PM

The programme will be delivered on TalentSprint’s digital platform ipearl.ai

What should you expect from this Deep Learning Certification Course?

  • Learn
    Learn from leading IISc Faculty Members
  • Reinforce
    Reinforce Learning by Applying Concepts
  • Network
    Network with Experts at the forefront of Deep Learning Practises
  • Earn
    Certification by Center for Continuing Education at IISc that will boost your resume

Eligibility

  • Education: Graduation (BE, Btech, BSc, MSc etc) or Masters in Science | Engineering | Management (relevant)
  • Experience: Working professionals (with minimum 1 year of work experience) with active hands-on coding experience aspiring to build expertise in Deep Learning

Enrolment Process

  • Apply for Programme
  • Submit Details
  • Await Selection
  • Join Programme

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PG Level Deep Learning Certification Course: Fee

Application Fee₹2,000

Programme Fee ₹3,72,000 Program Fee with Scholarship ₹2,79,000 (18% GST extra as applicable)

Special Pricing for Corporates*

*Applicable only for enterprises nominating their employees as a group
Fees paid are non-refundable and non-transferable.

Modes of payment available


  • Internet Banking

  • Credit/Debit Card

  • UPI Payments

Easy Financing Options

Interest-Based Schemes

EMI as low as ₹11,820/Month

EMI Options

Loan Partners

Programme Fee for International Participants $4,650
With Scholarship $3,500