8 courses
120 hours
15,420 students
Your Progress
3/8 courses • 37%
Master artificial intelligence and machine learning to build intelligent applications. This comprehensive path takes you from Python basics to advanced deep learning and production ML systems.
Build production-ready AI applications
Implement machine learning algorithms from scratch
Work with deep learning frameworks (TensorFlow, PyTorch)
Deploy ML models to production
Apply NLP techniques to real-world problems
Create computer vision applications
Understand AI ethics and responsible AI development
Build strong fundamentals in Python and mathematics
Master Python basics, data structures, and object-oriented programming
Linear algebra, calculus, probability and statistics
Learn core ML concepts and algorithms
Supervised and unsupervised learning, model evaluation
Data manipulation, cleaning, and feature engineering
Master neural networks and deep learning frameworks
Neural networks, CNNs, RNNs, and transfer learning
Dynamic computational graphs and advanced architectures
Apply AI to specific domains
Text processing, transformers, and language models
Image classification, object detection, segmentation
Total Experience
Total Coins
Basic programming knowledge
Understanding of mathematics (algebra, calculus)
Familiarity with data structures
$120,000 - $180,000
$130,000 - $200,000
$110,000 - $160,000
$140,000 - $220,000