The Indian Institute of Science Bangalore, IISc Bangalore one of India’s top research institutions, has announced the launch of its Free Deep Learning Course for 2025. This exclusive program is designed to provide cutting-edge knowledge and hands-on experience in deep learning and artificial intelligence (AI) to students, researchers, and industry professionals. Offered online with zero course fees, this initiative supports India’s growing demand for AI expertise and offers a chance to learn from globally recognized experts while earning a certificate that can propel careers forward.
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Table of Contents
About the IISc Bangalore Free Deep Learning Course
The course curriculum focuses on foundational and advanced concepts of deep learning, including neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and modern AI applications such as computer vision, natural language processing (NLP), and generative models. Learners will explore practical tools such as TensorFlow and PyTorch through coding exercises and real-world projects.
Delivered as a part of IISc Bangalore’s online education mission, this program combines pedagogy from leading researchers with interactive lectures and quizzes for effective learning. It emphasizes a research-driven approach, preparing participants for careers in AI research, product development, and data science.
Who Can Apply for IISc Bangalore Free Deep Learning Course?
Students and Postgraduates: Particularly those pursuing computer science, electrical engineering, mathematics, statistics, or related disciplines.
Working Professionals: Software engineers, data scientists, and analysts seeking to upskill in AI and deep learning.
Researchers: Interested in applying deep learning to fields such as healthcare, robotics, finance, and communication.
AI Enthusiasts: Anyone passionate about breaking into or advancing in the AI domain.
Basic programming knowledge in Python and understanding of calculus, linear algebra, and probability is recommended to grasp course concepts effectively.
Benefits of IISc Bangalore Free Deep Learning Course
Free Access: No tuition fees, making world-class deep learning education accessible to all.
Expert Instruction: Learn from IISc Bangalore faculty and AI practitioners with extensive research credentials.
Hands-On Learning: Engage with assignments and projects that simulate industry challenges.
Flexible Schedule: Self-paced learning to fit alongside academic or professional commitments.
Certification: Official certificate from IISc Bangalore, boosting credentials for higher studies, research, or AI jobs.
Career Growth: Gain valuable skills relevant for sectors investing heavily in AI, such as technology, healthcare, and finance.
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Course Curriculum
Week 1: Overview and motivation for the course: Why DL, Importance, Companies which are working, Applications, Future. To whom the course is designed (target audience), Contents (week wise). How this course is different from others. (More hands-on) and live classes, Make it more impactful.
Overview of machine learning and deep learning, difference between ML and DL with an example, History and Evolution of Deep Learning with computational efficiency.
Introduction to Neural networks: Perceptron: logistic regression, Single Layer Perceptron, Single Layer Perceptron numerical problem, Limitations of Single Layer Perceptron
Hands-on on building a simple perceptron model using colab file
Introduction to Multilayer Perceptron, Difference between Shallow neural networks, deep neural networks, Take an example and show how to design the NN (5 to 7 examples), Activation Functions, Loss Functions
Week 2: Gradient Descent (GD) and Backpropagation (MSE)
Optimizers: Momentum-Based GD, Nesterov Accelerated GD, Stochastic GD, AdaDelta, AdaGrad, RMSProp, Adam. Regularization Techniques: L1/L2 regularization, dropout, Early stopping
Hands-on on building the Artificial Neural Network for classification and regression problems with exposure to hyperparameter tuning. Interpreting the results using simple XAI techniques: LIME & SHAP
Week 3: CNN: Fundamentals of Image representation and Image preprocessing and Data augmentation
Introduction to Convolutional Neural Networks, Inspiration behind CNN, Key Components of CNN, Types of convolutions CNN architecture
Hands-on on building a simple CNN model for binary and multiclass classification.
Week 4: A typical CNN structure, Standard CNN models: AlexNet, VGGNet 16 and 19, Standard CNN Models: GoogLeNet, ResNet 18, 34, Standard CNN Models: Inception, Transfer Learning
Hands-on on transfer learning and building an ensemble model.
Week 5: Introduction to XAI: Algorithms and its working mechanism
Hands-on: Interpreting the results from CNN model using simple XAI techniques: GRADCAM and SMOOTHGRAD
Week 6: Evaluation metrics for segmentation, CNN based segmentation algorithms: UNet
Attention-based UNet, Introduction to CNN based Object Detection models.
Object detection algorithms: YOLO, RCNN, Faster RCNN models.
Hands-on on object detection using YOLO
Hands-on on UNet and attention based UNet
Why Enrol in IISc Bangalore’s Free Deep Learning Course 2025?
As India advances rapidly in AI and machine learning technologies, high-quality training from reputed institutes is vital. IISc Bangalore’s free course enables learners from diverse backgrounds to develop deep learning expertise without financial barriers. Whether planning research careers, AI product roles, or upskilling for global tech opportunities, this course delivers strong theoretical foundations coupled with practical skills.
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How to Apply and Enroll?
Visit the official IISc Bangalore course registration portal between the application window dates in early 2025.
Fill out the application form with educational and contact details.
Submit proof of eligibility such as academic transcripts or professional experience certificates.
Selected candidates receive enrolment confirmation with course access instructions.
Begin the program with access to all modules, assignments, and discussion forums.
Conclusion
The IISc Bangalore Free Deep Learning Course 2025 is a landmark chance to learn state-of-the-art AI techniques directly from India’s top scientific minds. Open to students, professionals, and researchers, it is designed to democratize access to world-class AI education and empower learners to excel in one of the most sought-after technology domains today. Prepare your application early and seize this opportunity to gain a competitive edge in AI and deep learning.
