Basic Level:

Introduces students to core concepts of AI and Data Science. Designed for engineering students in their 2nd or 3rd semester. Duration: 8 weeks (2 hours theory, 3 hours practice per week).

Intermediate Level:

Advanced Analytics and Predictive Modeling with AI.

Covers neural networks and reinforcement learning. Targeted at students in 6th or 7th semester with prior knowledge in Probability, Statistics, Linear Algebra, and Programming. Duration: 12 weeks (3 hours theory, 4 hours practice per week).

Advanced Level:

Frontier AI Micro-Master.

Intensive program for students with advanced Python skills and prior ML experience. Duration: 17 weeks (5 hours theory and 5 hours practice per session).

Handling and processing large data volumes (Big Data)

Cloud technologies (AWS, Google Cloud)

Database design and implementation (SQL, NoSQL, CSV, APIs)

ETL processes for data migration

Front-end Development

Back-end Development

Full-Stack Development

Object-Oriented Programming

Business Intelligence and smart dashboards

Machine Learning (regression, classification, clustering)

Computer Vision

Natural Language Processing (NLP) and Generative AI (Transformers, Prompt Engineering)