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Advanced • Hybrid Learning
Deep Learning Professional
In-depth deep learning: neural networks, CNNs, RNNs, GANs, transformers, reinforcement learning basics, and large model architectures.
20 Weeks (160 Hours)·520 students·4.9 ★ rating
What You’ll Learn
- •Deep understanding of neural architectures
- •Building models from scratch
- •Advanced optimization techniques
- •Research-level deep learning
- •Modern large-scale architectures
Curriculum
- •Math for Deep Learning
- •Neural Network Fundamentals
- •Backpropagation & Optimization
- •Regularization & Training Dynamics
- •CNNs & Architectures
- •Object Detection
- •Image Segmentation
- •GANs & Image Generation
- •RNNs, LSTMs, GRUs
- •Sequence-to-Sequence Learning
- •Attention & Transformers
- •Time Series & Forecasting
- •Transformer Architecture
- •Pre-trained Language Models
- •Vision Transformers & Multimodal AI
- •Large Language Models (LLMs)
- •Generative & Creative AI
- •Advanced Architectures
- •Model Optimization & Deployment
- •Research & Capstone
Instructor
Miss. Shagun
Lead Instructor – Deep Learning
Master in AI | Research background in deep learning architectures
Master in AI15+ Years Experience
This Course Includes
200+ hours30+ advanced projectsGPU resourcesAdvanced certificate
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