Artificial Intelligence and Machine Learning
Core Foundation
Introduction to AI and ML
Mathematics for ML
Programming with Python
Data Science Basics
Business Applications of AI
Machine Learning Concepts
Supervised Learning
Unsupervised Learning
Reinforcement Learning
ML Algorithms
Model Evaluation
Deep Learning
Neural Networks
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Autoencoders
Generative Adversarial Networks (GANs)
AI Tools and Applications
TensorFlow
Keras
AI in Natural Language Processing (NLP)
Computer Vision
AI Ethics
Projects & Career Growth
Capstone Projects
Internships
Freelancing Opportunities
Resume Building
Interview Preparation