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Machine Learning
Join the machine learning course and gain fundamental knowledge in the fastest growing and most dynamic field of computer science. During the course we will study supervised learning, unsupervised learning, neural networks and recommendation engines. Course participants will receive scholarships from ACA and partner organizations.
Duration
5 months
Level
Profession
Course Format
offline
Commitment
10 hours/week
Experienced Lecturers
Learn from industry experts!
Get practical knowledge from those who successfully work in the industry.
Well-structured curriculum
Our curriculum specialists work on providing a program with a clear path and necessary theoretical information.
Vahan Huroyan
Machine Learning Research Scientist at YerevaNN
Nairi Hakobyan
Senior Machine Learning Engineer @ Krisp
Land a Job!
Certificate is important but your portfolio is important-er :) Start working on your portfolio during your studies. Our educational program is designed to help you with that.
Students will have an opportunity to practice their interview skills that will bring them closer to their dream jobs! Also, referrals and recommendations will be available for top students.
Study Program
The quality of our courses is based on the structural organization of the lesson process: theoretical and practical lessons, homework, out-of-class communication with the lecturer.
Lectures
During the lectures, students get theoretical knowledge, get acquainted with new technologies and working methodologies and discuss the materials.
Seminars
During the seminars, the students implement the knowledge they received in the theoretical classes. The tutors provide individualized support to each student discussing the problems they encountered.
Consultation
We are ready to provide comprehensive information about the courses, present their features and possible perspectives, and help you make a final decision. Throughout the admission and study process, the students will be in touch with the course coordinator.
Final Project
The theoretical and practical knowledge gained during the Profession courses is best reinforced in the last stage, where students are divided into teams and work on projects.
Certificate
The students who successfully complete the 'specialized' courses, QA Fundamentals or Project Management course, are awarded certificates that are highly valued by Armenian IT companies.
Career
The knowledge gained during the courses is enough to find an entry-level job. At the end of the 'Specialized' courses, the best students receive assistance in finding a job. It should also be noted that at this stage the final decision is made by the employer.
Get Custom Advice
Please fill out this short form, and our Support team will contact you to help you find out which course fits you best.
Syllabus
Regression
- Introduction
- Linear Regression
- Cross-Validation
Classification
- Logistic Regression
- Soft and Hard Margin SVM
- Evaluation Metrics
Trees
- Trees
- Random Forests
- Ensemble methods
Unsupervised Clustering
- Clustering; K-Means
- Cluster evaluation methods
- Gaussian Mixture Models
Unsupervised Learning
- Density Estimation – Kernel Density Estimation
- Binning and KD-Trees for KDE
- Dimensionality Reduction: PCA, SVD
Neural Networks
- Tensorflow
- Optimizers, Backpropagation
- Convolutional Neural Networks
NLP
- Language Modelling
- Recurrent Neural Networks
- Attention, Transformers
Recommendation Engine
- Collaborative Filtering
- Matrix Factorization
- Factorization Machines
Gevorg Aghekyan
Machine Learning Team Lead @ FinConstruct
Taking the ACA intermediate level ML course was an important milestone for advancing my skill set of ML Engineer and for developing my portfolio of capabilities. The experienced lecturers from leading companies worldwide did their best to share their expertise with students. The course gave insight into contemporary algorithms and techniques of many branches of ML, thus providing practical experience and quite detailed understanding of ML toolset.
Aram Sargsyan
AI/ML Scientist Podcastle
ACA is like a springboard in every career. In the beginning it squeezes when you get knowledge-skills, then it pushes you forward sharply when you get a job.
Ara Eroyan
Machine Learning Engineer at Plat.AI
ACA's courses gave me the opportunity to develop a variety of professional knowledge such as advanced mathematics, statistics, programming, machine and deep learning. Furthermore, it allowed me to learn from leading experts in the field. In addition to theoretical knowledge, I strengthened and expanded my experience thanks to practical lessons and project-based work. Thanks to all this, I was able to immediately enter the job market and apply my newly acquired skills.
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FAQ
Is English required to participate in this course?
Can a beginner Machine Learning specialist participate in the course?
Can I apply for a job after graduation: