Foundations of Deep Learning
₹4000
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Harness Deep Learning!
Sculpting Intelligence through Deep Learning
4 Weeks
Beginner
Foundations of Deep Learning
₹4000
Acquire a thorough understanding of deep learning, neural networks, activation functions, and gradient descent algorithms.
Enrolled
4 Weeks
Intermediate
Recurrent Neural Networks (RNNs)
₹4800
Explore RNNs, sequence modeling, and natural language processing and time series analysis applications.
Enrolled
4 Weeks
Advanced
Deep Reinforcement Learning
₹5000
Find out how to use reinforcement learning to teach agents how to make decisions in a logical order in complicated environments.
Enrolled
4 Weeks
Beginners
Neural Network Architectures
₹4000
Explore different designs of neural networks, such as feedforward, convolutional, and recurrent networks.
Enrolled
4 Weeks
Intermediate
Deep Learning for Image Recognition
₹4800
Discover how to construct and train deep neural networks for image categorization, object identification, and image production.
Enrolled
5 Weeks
Advanced
Convolutional Neural Networks (CNNs) in Dept
₹6500
Learn how to use JavaScript with serverless architecture using platforms like AWS Lambda.
Enrolled
4 Weeks
Beginner
Adversarial Attacks and Defenses in Deep Learning
₹4000
Explore approaches for defending deep learning models from adversarial attacks while preserving robustness and security.
Enrolled
4 Weeks
Intermediate
Sequence-to-Sequence Models
₹5500
Learn to use sequence-to-sequence architectures for machine translation, text generation, and other jobs.
EnrolledSculpting the neural curiosity
with deep learning
odyssey
Joining deep learning classes has several advantages, enabling students to realize the potential of cutting-edge machine learning methods.
Interdisciplinary Perspectives
Deep learning principles help you grasp cross-disciplinary applications.
Fairness and AI Ethics
Recognize the ethical implications of AI, particularly issues with bias reduction and justice.
Thought Leadership in AI
Gain a deep understanding to engage in AI's social impact discussions.
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Popular Courses
Pick A Course To Get Started
4 Weeks
₹4000
Deep Learning for Audio and Speech Recognition
Deep learning can analyze audio data, generate speech recognition systems, and create voice-based apps.
Beginner
Deep Learning for Audio and Speech Recognition
What You’ll Learn?
- Preprocess and analyze audio data to obtain speech recognition and audio classification features.
- Deep neural networks for audio tasks train models to understand and transcribe spoken words.
- Understand end-to-end voice recognition system design for accuracy and real-world applications.
4 Weeks
₹4500
Bayesian Deep Learning
Bayesian probabilistic modeling in deep learning quantifies uncertainty and improves model resilience.
Advanced
Bayesian Deep Learning
What You’ll Learn?
- Learn probabilistic modeling in deep learning to use uncertainty estimates for better decision-making.
- Learn variational autoencoders and Bayesian neural networks for resilient and expressive model architectures.
- Quantify model uncertainty to improve forecasts and model understanding.
6 Weeks
₹4500
Deep Learning for Time Series Analysis
From stock prices to weather patterns, use deep learning to model and forecast time series data.
Intermediate
Deep Learning for Time Series Analysis
What You’ll Learn?
- Master time series data preparation, missing values, smoothing, and feature extraction.
- RNNs can model sequential relationships in time series for effective forecasting and analysis.
- LSTMs, a form of RNN, can capture long-range dependencies and improve time series modeling.
5 Weeks
₹6000
Advanced Topics in Deep Learning
Explore advanced deep-learning subjects like attention processes, memory-augmented networks, and more.
Engineering
Advanced Topics in Deep Learning
What You’ll Learn?
- Master time series data preparation, missing values, smoothing, and feature extraction.
- RNNs can model sequential relationships in time series for effective forecasting and analysis.
- LSTMs, a form of RNN, can capture long-range dependencies and improve time series modeling.
4 Weeks
₹5000
AutoML and Neural Architecture Search
Improve loading times and interactions with Angular applications with these techniques.
Professionals
AutoML and Neural Architecture Search
What You’ll Learn?
- Discover how to automatically optimize model hyperparameters for better performance.
- Use AI to find ideal neural network architectures, reducing manual design.
- Explore ways to create neural networks that use less processing power and perform well.
5 Weeks
₹5500
Deep Learning Deployment and Scalability
Master production deep learning model deployment for efficiency, scalability, and reliability.
Beginner
Deep Learning Deployment and Scalability
What You’ll Learn?
- Understand how to deploy deep learning models in production contexts while maintaining reliability and scalability.
- Learn about deploying cloud-based services and containerization technologies to serve deep learning models.
- Investigate approaches for scaling deep learning programs to handle higher workloads while maintaining responsiveness.
8 Weeks
₹4000
Graph Neural Networks and Representation Learning
Learn graph neural networks to model complicated data interactions and accomplish graph-based tasks.
Advanced
Graph Neural Networks and Representation Learning
What You’ll Learn?
- Learn how to use neural networks to represent graph-structured data, such as social networks and chemical structures.
- Explore GCNs to enable deep learning on graph data and node relationship learning.
- Learn how to create node embeddings that capture structural and relational data for use in later activities.
4 Weeks
₹5000
Deep Learning Capstone Project: AI Innovation
Apply deep learning to a difficult real-world project to show your competence and inventiveness.
Advanced
Deep Learning Capstone Project: AI Innovation
What You’ll Learn?
- Apply your deep learning abilities to a challenging assignment to show off your knowledge and competence while resolving a pressing issue.
- Experiment and innovate using cutting-edge methods to show that you can handle difficult AI tasks.
- Learn to oversee the full project lifecycle, from the definition of the problem and data preparation through the deployment of the model.
4 Weeks
46500
Ethics and Responsible AI in Deep Learning
Address bias, fairness, and societal impact in deep learning ethics for responsible AI development.
Engineering
Ethics and Responsible AI in Deep Learning
What You’ll Learn?
- Recognize the effects of biases in deep learning and get knowledge about strategies to reduce bias in AI systems.
- Investigate fairness, transparency, and ethical issues in deep learning to promote ethical AI development.
- Recognize the broader societal implications of deep learning while taking privacy, responsibility, and the effects of AI on people into account.