Logo of Source Mind

20 weeks

AI / ML Specialist

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

Next Session

Yerevan

Venue

2/5 Armenak Armenakyan str.

Duration

20 weeks

Date

October 2021