AI Engineering Program
Develop expert-level AI engineering skills through hands-on experience with machine learning, deep learning, and AI-driven systems.
Why Our AI Program?
This program bridges the gap between theoretical concepts and real-world applications through ai-driven mentorship and project-based learning.
Hands-on Learning
Practical application of ai algorithms through real-world projects and case studies.
Mentorship
Learn directly from industry leaders in ai and machine learning through personalized guidance.
Portfolio Projects
Build real-world ai models for industry applications from computer vision to nlp.
Curriculum Overview
A comprehensive journey into the world of artificial intelligence and machine learning with expert supervision and hands-on ai-driven projects.
Unit 1: Foundational Concepts
- Python for Data Science
- Linear Algebra
- Probability & Statistics
- Data Visualization
Unit 2: Machine Learning Fundamentals
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- Neural Networks Basics
Unit 3: Advanced Algorithms
- Reinforcement Learning
- Deep Learning Architectures
- Computer Vision
- Natural Language Processing
Unit 4: Real-world Applications
- Ai Ethics and Governance
- MLOps
- Generative Models
- Capstone Project
Full Academic Breakdown
Dive deeper into the full program details with a comprehensive breakdown of course content and learning outcomes.
Meet the Mentors
Learn from leaders in ai research and ai development through real-time mentorship and project critique.
Dr. Maria Georgiou
AI Research Lead at MIT
- PhD in Deep Learning
- 300+ peer-reviewed articles
- 5000+ students mentored
Dr. Lena Miller
Cognitive Computing Expert
- 30 years in ai modeling
- Google AI Research Fellow
- Award-winning educator
Prof. James Taylor
AI Ethics Consultant
- Harvard AI Ethics Fellow
- 500+ policy reviews
- 20+ speaking engagements
Apply to AI Program
Join 3000+ ai professionals who've advanced their careers with Ellinikai's mentor-led ai program.
🚀 Start Application Process