Build job-ready skills with our Classroom and Online Deep Learning Training at WebAsha Technologies. It is hands-on, practical and focused on employability.
Training Overview:
is a comprehensive, job-oriented program on deep learning - the technology behind modern AI. It covers neural network fundamentals, building and training models with TensorFlow/Keras and PyTorch, convolutional neural networks (CNNs) for computer vision, recurrent networks and transformers for sequences and language, transfer learning, model optimization and regularization, and deploying deep learning models - with real projects that make you job-ready.
Intended Audience:
This course is ideal for developers, data scientists and AI aspirants who want to master deep learning and build neural networks for vision, language and beyond.
Topics Covered:
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Neural Networks: The building blocks.
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Training: Backprop and gradient descent.
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TensorFlow & PyTorch: The two major frameworks.
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CNNs: Computer vision.
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RNNs & Transformers: Sequences and language.
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Transfer Learning: Pre-trained models.
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Optimization: Regularization and tuning.
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Deployment: Serving models.
Requirements:
Basic computer familiarity is recommended. Online participants need a stable internet connection and a laptop/desktop for the live labs.
Pre-Requisites:
Basic Python and some machine-learning familiarity help. Our Python Programming and Machine Learning courses are ideal companions before deep learning.
Career Benefits:
Deep learning is a core AI skill. In India, deep learning engineers typically earn ₹6 LPA to ₹44+ LPA.