Deep Learning
Master deep learning techniques including neural networks, TensorFlow, and PyTorch. Learn to build AI-driven applications with real-world datasets. Ideal for AI enthusiasts and professionals.
Course Details
Instructor:
AI Specialist with 7+ years of experience
Difficulty Level:
Intermediate to Advanced
Duration:
12 Weeks
Mode:
Online (Self-paced + Live sessions)
Course Content
Introduction to Deep Learning
- Basics of deep learning and neural networks
- Difference between AI, ML, and DL
- Applications of deep learning
Neural Networks
- Feedforward neural networks
- Activation functions
- Backpropagation and optimization
Convolutional Neural Networks (CNNs)
- Image classification and object detection
- Transfer learning with pre-trained models
Recurrent Neural Networks (RNNs)
- Time series forecasting
- Natural Language Processing (NLP)
What’s Included
- Interactive coding exercises
- Hands-on AI projects
- Certification upon completion
- Access to study materials
Requirements
- Basic knowledge of Python and ML
- Suitable for data scientists and AI enthusiasts
