35 Hours
Understand the core principles of Artificial Intelligence, Machine Learning basics, and real-world AI applications.
40 Hours
Master Large Language Models, prompt engineering, diffusion models, and building end-to-end GenAI applications.
40 Hours
Master supervised and unsupervised learning, model evaluation, deep neural networks, and algorithmic problem solving.
45 Hours
Bridge the gap between ML models and production by mastering CI/CD pipelines, model tracking, automation, and monitoring.