20 weeks
AI / ML Specialist

Instructor
Arsen Yeghiazaryan

Instructor
Artashes Ghazaryan

Instructor
Sevak Harutyunyan

Instructor
Grigor Nalbandyan

Instructor
Levon Yeghiazaryan

Instructor
Khachatur Khechoyan

Instructor
Gabriel Poghosyan

Instructor
Tigran Vardanyan
Overview
Overview
This Pathway program is designed for those who aspire to gain solid knowledge and on the job skills in machine learning. Through this pathway program you will learn Data Analysis, Data Visualization, commonly used Machine Learning algorithms, gain understanding in NLP and Computer Vision, learn training ML models with real-world data and methods for deploying trained models in production environment. Upon completion of the program, you will master the essential tools of Data Science with Python.
Who is eligible to enroll?
- Software engineers who have interest in Data Science
- Fresh graduates/last year university students who wish to start their career in IT industry
- Scientific researchers/workers with background in math
- Data analysts looking to upskill
- Open-minded tech enthusiasts who have the motivation and determination to succeed
What are the prerequisites?
To optimize your chances of success this Pathway program requires understanding of:
- Statistics
- Mathematics
- Programming (python programming is desirable but not required)
Students should also possess:
- Problem-solving skills
- Willingness to work hard
- Intellectual curiosity
Who is in the teaching team?
- Industry-leading trainers
- Mentors
- Guest Speakers
What is in the program?
- Lectures
- Hands on/practical assignments
- Group projects
- Soft skills that matter
- Professional portfolio
Quick Details
Format: Face-to-face classes, assignments, guest speakers, mentors and real-life projects
Selection Process: Application, Test, Technical Interview
Duration: 20 weeks
Language of Instruction: English/Armenian
Frequency: 2 times a week
Fee: Free of charge
Curriculum
Math and Python Fundamentals
Supervised Learning
Unsupervised Learning
Dimensionality Reduction
PyTorch Deep Learning Framework
MLOps Basics
Soft Skills
Employability Skills
Instructors

Arsen Yeghiazaryan
Arsen Yeghiazaryan is an experienced scientific researcher with a demonstrated history of working in the fields of Machine Learning and Theoretical Physics. He is skilled in Math, Statistics, Machine Learning theory, Python, MLOps. Arsen received his Ph.D. in Theoretical and Mathematical Physics at Yerevan Physics Institute. Currently he works as a Machine Learning team lead at Webb Fontaine. Fields of interest include Deep Learning, Recommendation Systems, Clustering, Tree-based algorithms. Arsen is the program lead of the "AI/ML Specialist" pathway program.

Artashes Ghazaryan
Machine Learning Specialist

Sevak Harutyunyan
Machine Learning Engineer

Grigor Nalbandyan
Machine Learning Specialist

Levon Yeghiazaryan
Machine Learning Specialist

Khachatur Khechoyan
Machine Learning Specialist

Gabriel Poghosyan
Machine Learning Specialist

Tigran Vardanyan
Machine Learning Engineer