S. No. | Title of the Program | Duration/ Date | Who should attend? | Content | Poster |
Apply button / Last date |
1 |
1 Day Workshop on AI in Social Sciences |
13th May 2025 |
Students/ PhD Scholars/ Scientists/ Faculty/ Professionals. |
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Click Here to Apply 5th May 2025 |
2 |
1 Day Workshop on AI in Defence Technology |
23rd May 2025 |
Students/ PhD Scholars/ Scientists/ Faculty/ Professionals. |
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Click Here to Apply 15th May 2025 |
3 |
1 Day Workshop on AI in Neuroscience |
22 May 2025 |
Students/ PhD Scholars/ Scientists/ Faculty/ Professionals. |
1. Introduction to AI in Neuroscience : An Overview 2. How Artificial Intelligence can help with important problems in Neuroscience. 3. Key Advantages of Integrating AI in Neuroscience 5. Applications of AI in Neuroscience applications 6. Real-World Use Cases of AI and Robotics Working Together 7. Hands-On Demonstration: AI in Neuroscience applications. |
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Click Here to Apply 10 May 2025 |
4 |
1 Day Workshop on AI in Robotics |
8th May 2025 |
Students/ PhD Scholars/ Scientists/ Faculty/ Professionals. |
1. Introduction to AI in Robotics: An Overview
2. How Artificial Intelligence Powers Modern Robotics
3. Key Advantages of Integrating AI in Robotics
4. Emerging Trends and Challenges in AI-Driven Robotics
5. Applications of AI in Robotics Across Various Industries
6. Real-World Use Cases of AI and Robotics Working Together
7. Hands-On Demonstration: AI in Robot Navigation |
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Click Here to Apply 30th April 2025 |
5 |
Hands-on Workshop on GenAI (LLMs & Multimodal AI) |
16 April 2025 to 30 April 2025 |
Faculty / PhD Scholars / Students / Anyone interested in GenAI applications |
a. Early fusion: Concatenate text + image features before classification. b. Late fusion: Train separate classifiers and merge final predictions. Evaluate both using Accuracy, F1-score, and AUC-ROC.
BLEU, ROUGE, and METEOR (for text similarity). BERTScore (for semantic similarity).
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Click Here to Apply 14 April 2025 |
6 |
Two week Certification Program in Generative Artificial Intelligence (Gen AI) and Large Language Models (LLMs) |
16 June 2025 to 27 June 2025 |
B.Tech / M.Tech / B.Sc / BCA Students (Who has studied Maths in Class -XII) |
Introduction to deep learning, CNNs, RNNs, LSTMs, Transformer architecture, Self-Attention mechanism, Multi-Head Attention, Vision Transformer (ViT), applications in image classification and object detection, Pretraining vs. Fine-Tuning paradigms, Transfer Learning techniques, and Fine-Tuning ViTs for custom tasks, understanding LLMs (GPT, BERT, T5), encoder-decoder architectures, Pretraining vs. Fine-Tuning in LLMs, Scaling Laws, Model Efficiency, Principles and techniques for fine-tuning pretrained models
Case Studies in Fine-Tuning for Text Summarization, Translation, and Sentiment Analysis, Data Collection and Preprocessing for LLMs, Transfer Learning and Domain Adaptation, Efficient Training Strategies (LoRA, Quantization, Pruning), RLHF (Reinforcement Learning with Human Feedback), Memory and Computational Challenges in Large-Scale Models. |
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Click Here to Apply 30th April 2025 |
7 |
5 Days Bootcamp on Generative Artificial Intelligence (Gen-AI) |
16 June 2025 to 20 June 2025 |
B.Tech / M.Tech / B.Sc / BCA Students (Who has studied Maths in Class -XII) |
Introduction to deep learning, CNNs, RNNs, LSTMs, Transformer architecture, Self-Attention mechanism, Multi-Head Attention, Vision Transformer (ViT), applications in image classification and object detection, Pretraining vs. Fine-Tuning paradigms, Transfer Learning techniques, and Fine-Tuning ViTs for custom tasks, understanding LLMs (GPT, BERT, T5), encoder-decoder architectures, Pretraining vs. Fine-Tuning in LLMs, Scaling Laws, Model Efficiency, Principles and techniques for fine-tuning pretrained models. |
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Click Here to Apply 30th April 2025 |
8 |
2-week Summer Camp on Artificial Intelligence |
9th June to 20th June 2025 |
exclusively for school students |
Exciting Opportunity for Young Minds!
2-week Summer Camp on Artificial Intelligence exclusively designed for school students!
Work in Most Advanced Supercomputers
Interactive sessions with AI expert Faculty Mentors.
Hands-on Sessions.
Fun and engaging learning activities tailored for young learners
For budding tech enthusiasts who are eager to explore the world of Artificial Intelligence, this is the perfect opportunity for them to learn, create, and get inspired! |
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Click Here to Apply - |
9 |
4-week Summer Internship/ Summer training on Generative Artificial Intelligence and LLM |
From 16th June 2025 |
B.Tech / M.Tech / B.Sc / BCA Students (Who has studied Maths in Class -XII) |
Introduction to deep learning, CNNs, RNNs, LSTMs, Transformer architecture, Self-Attention mechanism, Multi-Head Attention, Vision Transformer (ViT), applications in image classification and object detection, Pretraining vs. Fine-Tuning paradigms, Transfer Learning techniques, and Fine-Tuning ViTs for custom tasks, understanding LLMs (GPT, BERT, T5), encoder-decoder architectures, Pretraining vs. Fine-Tuning in LLMs, Scaling Laws, Model Efficiency, Principles and techniques for fine-tuning pretrained models,
Case Studies in Fine-Tuning for Text Summarization, Translation, and Sentiment Analysis, Data Collection and Preprocessing for LLMs, Transfer Learning and Domain Adaptation, Efficient Training Strategies (LoRA, Quantization, Pruning), RLHF (Reinforcement Learning with Human Feedback), Memory and Computational Challenges in Large-Scale Models.
2 weeks research project to build a Gen AI model. |
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Click Here to Apply 30th April 2025 |
10 |
Hands-On Workshop Deep Learning |
06-Mar-2025 |
Exclusively for academic students and researchers. |
Amity Centre for Artificial Intelligence (ACAI) and NVIDIA Deep Learning Institute (DLI) are organizing a hands-on workshop, exclusively for academic students and researchers. Course Instructor will be Rakesh Chandra Joshi who is a NVIDIA Certified Deep Learning Instructor and University Ambassador. NVIDIA DLI certification will be provided to all the participants. |
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Click Here to Apply 5th Mar 2025 |
11 |
Workshop on PyTorch - An open-Source Deep Learning Framework |
26.09.2024, Thursday (2:00 PM to 5:00 PM) |
Undergrad, Postgrad students and PhD scholars having a basic knowledge of Object-oriented programming using Python and Deeplearning. |
Learn the Essentials of Deep Learning in few Hours!
PyTorch has gained popularity as a deep learning framework known for its rapid prototyping, vast research community and built-in tools for implementing state-of-the-art deep learning models. In just few hours, you'll learn how to build, train, and optimize neural networks for real-world applications.
Workshop Highlights:
- Introduction to Deep Learning with PyTorch.
- Building Advanced Neural Networks.
- Advanced Optimization.
- Real-World Application. |
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Click Here to Apply 25.09.2024 |
12 |
Hands-On Workshop Deep Learning |
30th August 2024 09:00 AM onwards |
Exclusively for academic students and researchers. |
Amity Centre for Artificial Intelligence (ACAI) and NVIDIA Deep Learning Institute (DLI) are organizing a hands-on workshop, exclusively for academic students and researchers. Course Instructor will be Rakesh Chandra Joshi who is a NVIDIA Certified Deep Learning Instructor and University Ambassador. NVIDIA DLI certification will be provided to all the participants.
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Click Here to Apply 29th August 2024 |
13 |
Fundamental of Deep Learning |
30th June 2024 - 01st July 2024 |
Exclusively for academic students and researchers. |
Amity Centre for Artificial Intelligence (ACAI) and NVIDIA Deep Learning Institute (DLI) organized a hands-on workshop on Fundamentals of Deep Learning.
Course Instructor will be Rakesh Chandra Joshi who is a NVIDIA Certified Deep Learning Instructor and University Ambassador.
NVIDIA DLI certification will be provided to all the participants. |
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Click Here to Apply 29th June 2024 |
14 |
5 Days Online Bootcamp on Deep Learning Technologies |
13th May 2024 to 17th May 2024 |
All Amity Students (Who has studied Mathematics till Class -XII) |
Theory: Deep Learning, Perceptron Model, Activation Function, Loss Function, Building Neural Networks, Cross Entropy Loss, Loss Optimization, Gradient Descent, Learning Rate, Overfitting, Dropouts, Convolution Neural Networks: Feature Extraction, Feature Representation, Fully Connected Network, Convolution Layer & Feature Maps, Pooling, Activation Function, Transfer Learning and Fine-tuning, Popular CNN architectures such as AlexNet, VGG-Net, ResNet, GoogleNet, Introduction to RNNs and their applications, Long Short-Term Memory (LSTM) networks and Gated Recurrent Units (GRUs), Sequence-to-sequence models for natural language processing, Attention mechanism. Transformers. Hands-on Session: Installation of software and IDE, Programming on Python, Intro to Training Resources, Import Packages and Loading of Datasets, Creating CNN Models from Scratch, Compiling of CNN Models, Training and Testing, Plotting of Curves, Deep Learning Training and Architecture, Feature Extraction, Models training with some pre-trained models, Text data handling, Train Recurrent Neural Networks (RNNs) on the dataset for sentiment analysis, Training an Attention Network for classification. Implementation of convolution attention block module. |
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Click Here to Apply 11th May 2024 |
15 |
1 day Workshop on DEPLOYMENT of AI MODELS on Edge Devices |
15th May 2024 |
Amity Students who has experience to train Deep Learning models (B.Tech/M.Tech etc.) |
Hands-on Training to configure edge devices (Like Raspberry Pi/Jetson Nano) and deploy AI models for real-world AI applications. For Students who has experience to train Deep Learning models - Learn to deploy it in edge devices. |
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Click Here to Apply 12th May 2024 |
16 |
5 Days Workshop / FDP Artificial Intelligence for Management & Business Analytics |
5 Days from 3rd June 2024 to 7th June 2024 |
Faculty/ professionals / Scientists / PhD Scholars in the Domain of Management, Business studies who may like to gain skills in Machine Learning & Deep Learning methods so that they can possibly use AI in their own application areas. |
Theory: Machine Learning, Supervised Learning, Perceptron model, Building Neural Networks, Cross Entropy loss, loss optimization, Gradient decent, Learning rate, Overfitting, Dropouts, CNN, Case study of use of Business analytics, Machine learning for Business analytics, Case study of use of Deep Learning based AI models for Business analytics
Hands-on Session: Basic Python Programming, Intro to Training resources, Introduction to packages and loading of datasets, Creating CNN models from scratch for Business analytics, Compiling of models, Training and Testing of Models, Training with pertained models for business analytics. |
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Click Here to Apply Extended till 23rd May 2024 |
17 |
5 Days Workshop / FDP Artificial Intelligence in Life Science, Healthcare & Biotechnology |
5 Days from 3rd June 2024 to 7th June 2024 |
Faculty/ professionals / Scientists / PhD Scholars in the Domain of Healthcare, Life Science and Biotechnology who may like to gain skills in Machine Learning & Deep Learning methods so that they can possibly use AI in their own application areas. |
Theory: Machine Learning, Supervised Learning, Perceptron model, Activation function, Loss Function, Building Neural Networks, Cross Entropy loss, loss optimization, Gradient decent, Learning rate, Overfitting, Dropouts, CNN, Case study of use of Machine learning for Biological / Clinical Applications, Case study of use of Deep Learning based CNN models for Biological / Clinical Applications. Hands-on Session: Basic Python Programming, Intro to Training resources, Introduction to packages and loading of datasets, Creating CNN models from scratch for Biological Application, Compiling of models, Training and Testing of Models, Training with pertained models for Biological / Medical Applications. |
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Click Here to Apply Extended till 23rd May 2024 |
18 |
5 Days FDP/ Workshop on Machine Learning & Deep Learning |
5 Days from 3rd June 2024 to 7th June 2024 |
Faculty/ professionals / Scientists / PhD who may like to have skills in Machine Learning & Deep Learning methods so that they can possibly use AI in their own application areas. |
Theory: Machine Learning, Supervised Learning, Perceptron model, Activation function, Loss Function, Building Neural Networks, Cross Entropy loss, loss optimization, Gradient decent, Learning rate, Overfitting, Dropouts. Features Extraction, Feature Representation, Fully Connected Neural Network, CNN, pooling, stride, padding, Transfer Learning and Fine-tuning. Hands-on Session: Basic Python Programming, Intro to Training resources, Import packages and loading of datasets, Creating CNN models from scratch, Compiling of models, Training and Testing of Models, Training with pertained models. |
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Click Here to Apply Extended till 23rd May 2024 |
19 |
4 weeks Summer Internship/ Summer training on Artificial Intelligence |
From 10th June 2024 (Dates are Flexible) |
B.Tech / M.Tech / B.Sc / BCA Students (Who has studied Maths in Class -X11) |
Theory: Perceptron model, Activation function, Loss Function, Building Neural Networks, Cross Entropy loss, loss optimization, Gradient decent, Learning rate, Over fitting, Dropouts. Features Extraction, Feature Representation, Fully Connected Neural Network, CNN, pooling, stride, padding, Transfer Learning and Fine-tuning.Recurrent Neural Networks (RNNs), Sequential models for solving Long-term dependency issues. LSTM models, Introduction to Autoencoders and Variational Autoencoders, Generative Adversarial Networks (GANs), Applications of GANs. Hands-on Session: Basic Python Programming, Intro to Training resources, Import packages and loading of datasets, Creating ANN & CNN models from scratch, Compiling of models, Training and Testing, Plotting of curves, feature extraction, Models training with some pertained models, Image Augmentation, Implementation of RNN, GAN architecture implementation. 2 weeks research project to build a Deep Neural Network for solving a problem. |
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Click Here to Apply Extended till 23rd May 2024 |
20 |
2 weeks Certificate Program in Artificial Intelligence |
2 weeks 17th June 2024 to 28th June 2024 |
B.Tech / M.Tech / B.Sc / BCA Students (Who has studied Maths in Class -X11) |
Theory: Perceptron model, Activation function, Loss Function, Building Neural Networks, Cross Entropy loss, loss optimization, Gradient decent, Learning rate, Over fitting, Dropouts. Features Extraction, Feature Representation, Fully Connected Neural Network, CNN, pooling, stride, padding, Transfer Learning and Fine-tuning. Recurrent Neural Networks (RNNs), Sequential models for solving Long-term dependency issues. LSTM models, Introduction to Autoencoders and Variational Autoencoders, Generative Adversarial Networks (GANs), Applications of GANs. Hands-on Session: Basic Python Programming, Intro to Training resources, Import packages and loading of datasets, Creating ANN & CNN models from scratch, Compiling of models, Training and Testing, Plotting of curves, feature extraction, Models training with some pertained models, Image Augmentation, Implementation of RNN, GAN architecture implementation. |
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Click Here to Apply Extended till 23rd May 2024 |
21 |
5 days Bootcamp on Deep Learning Technologies |
5 days 17th June to 21st June 2024 |
B.Tech / M.Tech / B.Sc / BCA Students (Who has studied Maths in Class -X11) |
Theory: Perceptron model, Activation function, Loss Function, Building Neural Networks, Cross Entropy loss, loss optimization, Gradient decent, Learning rate, Overfitting, Dropouts. Features Extraction, Feature Representation, Fully Connected Neural Network, CNN, pooling, stride, padding, Transfer Learning and Fine-tuning. Hands-on Session: Basic Python Programming, Intro to Training resources, Import packages and loading of datasets, Creating CNN models from scratch, Compiling of models, Training and Testing of Models, Training with pertained models. |
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Click Here to Apply Extended till 23rd May 2024 |
SNo. | Title of the Program | Duration | Date | Who should attend? | Remarks | |
1 | Bootcamp on: Deep Learning Technologies | Flexible 2 to 4 Weeks | 29th May 2023 Onwards | ACAI.ST.10.40 is targeted course for B.Tech Students (Mainly CSE /AI) of 3rd year and 4th year who may like to develop skills on Deep Learning for research and innovation-based work and possibly would like to do their Minor Project and Major Project in this area. |
Click Here to Apply
Last date 20th May 2023 |
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2 | Bootcamp on Artificial Intelligence: Machine Learning & Deep Learning | 5 Days | 5th June 2023 to 9th June 2023 | This is for Students / PhD Scholars/ Scientists / Faculty/ professionals from Engineering and Science Domain who may like to gain skills on Machine Learning & Deep Learning methods so that they can possibly use AI in their own areas. | Bootcamp for Beginners |
![]() Click here to see details |
3 | Workshop on Artificial Intelligence for Healthcare and Pharmacy | 5 Days | 19th June 2023 to 23rd June 2023 | This is mainly for Students / PhD Scholars/ Scientists / Faculty/ professionals in the Healthcare and Pharmacy who may like to have skills on Machine Learning & Deep Learning methods so that they can possibly use AI in their own areas. | Focussed workshop, case studies and data will be used from healthcare and Pharmacy area. |
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4 | Workshop on Artificial Intelligence for Life Sciences &
Biotechnology |
5 Days | 26th June 2023 to 30th June 2023 | This is for Students / PhD Scholars/ Scientists / Faculty/ professionals in the Domain of Life Sciences and Biotechnology who may like to have skills on Machine Learning & Deep Learning methods so that they can possibly use AI in their own areas. | Focussed workshop, case studies and data will be used from Life Science & Biotech area. |
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5 | Workshop on Artificial Intelligence for Business Analytics | 5 Days | 3rd July 2023 to 7th July 2023 | This is for Students / PhD Scholars/ Scientists / Faculty/ professionals in the Management Domain who may like to have skills on Machine Learning & Deep Learning methods so that they can possibly use AI in their own areas. | Focussed workshop, case studies and data will be used from Business domain. |
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