What You Will Master in This Track
Foundational Principles
Master the underlying algorithms, architectures, and theoretical intuition powering modern artificial intelligence.
Workflow & Agent Modeling
Understand how autonomous agents perceive data, represent domain knowledge, and execute goal-driven decisions.
Practical Real-World Use
Bridge concept with practice through real business case studies, hands-on exercises, and domain workflows.
Responsible & Ethical AI
Mitigate model bias, ensure transparency, and deploy accountable AI solutions that adhere to industry governance.
Course Curriculum & Modules (21)
Select any module below to inspect in-depth syllabus notes, practical focus, and review questions.
01
Introduction to Deep Learning
02
Neural Networks
03
Perceptron
04
Input, Hidden & Output Layers
05
Weights & Bias
06
Activation Functions
07
Forward Propagation
08
Backpropagation
09
Loss Functions
10
Optimizers
11
CNN
12
Image Classification
13
RNN
14
Sequence Data
15
LSTM
16
Transformers
17
Transfer Learning
18
Deep Learning Model Training
19
Model Evaluation
20
Deep Learning Project
21