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The "Machine Learning + AI" course at GortsUp Academy in Yerevan is designed for beginners. Duration: 6 months. Classes are held in Yerevan at 4 Tigran Mets Avenue and on an online platform (hybrid format). Price: from 49 200 ֏ per month with a 12-month installment plan. A job placement support program runs from the 3rd month of study, and 79% of students get a job while studying. The academy has been on the market since 2022, with 2500+ graduates.
Programming with neural networks
We learn AI tools and how to apply them in data analysis
Job placement support program
From the 3rd month of study
Small groups with active involvement of everyone
Up to 15-20 students per group
Hands-on learning comes first
More than 50% of the course is practical work
Partner
Partner
Partner
Partner
No. 1 in Armenia with a job placement program
Aravoty Shantum / GortsUp Academy
Shant TV
Aravoty Shantum / GortsUp Academy
Shant TV
Recruit Days 2024
Armenia Today
Recruit Days 2024
Hayk media
- 2500+Graduates
- Since 2022On the market
- 9,2Client trust index
- 79%of graduates get jobs
Our students about us
The lesson was very interesting, everything was accessible, and the explanations were interesting and clear.
It was a very productive lesson.
Interesting and engaging.
I'm satisfied.
Very engaging and interesting.
It was a very productive lesson.
Interesting and engaging.
I'm satisfied.
Very engaging and interesting.
Very good, the lecturer explained everything clearly.
The lesson was ideal, very good, we discussed everything as a group and all of us were involved.
I was involved, we asked the lecturer questions, it was an interactive lesson
We talked about professional topics, the lesson was interesting. The lecturer explained in an accessible way
The lesson was ideal, very good, we discussed everything as a group and all of us were involved.
I was involved, we asked the lecturer questions, it was an interactive lesson
We talked about professional topics, the lesson was interesting. The lecturer explained in an accessible way
A very good, positive, knowledgeable and smart person, the lecturer. I'm very happy with your academy. I have a very good opinion of you, and the lecturer was very professional.
Very interesting, I was very well engaged.
A quite pleasant lesson, I'm satisfied.
The lesson was very interesting, the lecturer is a good specialist, I was engaged in the lesson.
Very interesting, I was very well engaged.
A quite pleasant lesson, I'm satisfied.
The lesson was very interesting, the lecturer is a good specialist, I was engaged in the lesson.
The lesson was interesting, I was engaged, and the lecturer was equally attentive to everyone.
The information about the profession was interesting.
The lecturer explains everything very well.
Very good, I have positive emotions from the lesson.
The lesson went by in an interesting way, the lecturer is a pleasant person.
The information about the profession was interesting.
The lecturer explains everything very well.
Very good, I have positive emotions from the lesson.
The lesson went by in an interesting way, the lecturer is a pleasant person.
About the profession
An AI and Machine Learning specialist creates smart solutions, works with data and applies AI technologies to solve real problems.
Machine Learning and AI basics
With interest
Data collection and processing
Practical
AI tools and Generative AI
Professional
Data-driven solutions and AI applications
Confident
Machine Learning + AI - the choice for 2030
By 2030 the world will be short of 4 500 000+ specialists in this profession with AI knowledge.
- You are interested in Machine LearningYou want to learn to build AI solutions and work with modern technologies.
- You want to work with AI toolsYou want to use Generative AI, ChatGPT and other modern tools.
- You want to get an in-demand professionYou are looking for practical skills and a career in a growing technology field.
- You like analytical workYou are interested in data, algorithms and building intelligent systems.
When it is time to change your profession
If you ask yourself these questions, it is time to try something new
-
You earn as much as you want, not as much as happens to come. -
You see your acquaintances changing jobs and their standard of living, while nothing changes for you. -
A year from now it will be harder for you to reach senior positions than it is today. -
You keep putting off a change of profession because you are afraid of making a mistake again. -
Will your skills become outdated faster than you update them? -
Do you have a clear goal for the next 1-3 years and a real plan to achieve it?
Career prospects
You will be able to earn a decent income and secure a stable future for yourself.
Junior AI/ML Specialist
Machine Learning Engineer
Deep Learning Engineer
Senior AI Engineer / AI Specialist
$600+
$700+
$1100+
$1600+
Your path to a dream career
3 months after the start of study
You understand the profession from the inside.
You have your first practical skills, reinforced during practice.
You know what real problems are solved in this position.
You work confidently with the main tools and processes.
You are building confidence that you can work in this role.
You are starting to build your professional network.
You have your first practical skills, reinforced during practice.
You know what real problems are solved in this position.
You work confidently with the main tools and processes.
You are building confidence that you can work in this role.
You are starting to build your professional network.
6 months after the start of study
You confidently solve typical tasks at a junior specialist level.
You have several complete projects (cases) in your new profession.
You understand how to create value for the business in your role.
You have connections in companies and an established professional network.
You enter the job market as a ready specialist, not as a beginner.
You understand what problems you can be paid for.
You can present your value to a company in the language of business.
You have a growth plan for your first year in the new role.
You have several complete projects (cases) in your new profession.
You understand how to create value for the business in your role.
You have connections in companies and an established professional network.
You enter the job market as a ready specialist, not as a beginner.
You understand what problems you can be paid for.
You can present your value to a company in the language of business.
You have a growth plan for your first year in the new role.
One year after study
You fulfill dreams that you previously lacked the money or confidence for.
You live at a pace and standard of living that used to be your goal.
You earn more than before changing your profession.
You feel that you are valued.
You are not afraid to change companies if the conditions no longer meet your expectations.
You take part in solving the team's problems, not just carrying out tasks.
You understand how to grow in your role or move to the next level.
You feel like a full-fledged specialist in the job market.
You have real achievements that you can present to your next employer.
You live at a pace and standard of living that used to be your goal.
You earn more than before changing your profession.
You feel that you are valued.
You are not afraid to change companies if the conditions no longer meet your expectations.
You take part in solving the team's problems, not just carrying out tasks.
You understand how to grow in your role or move to the next level.
You feel like a full-fledged specialist in the job market.
You have real achievements that you can present to your next employer.
3 years after study
You achieve big goals not by luck, but through a systematic approach.
You work at the level of a confident middle or senior specialist.
You earn several times more than at the starting stage.
You choose projects and companies, rather than just looking for a job.
You understand how to create a product and earn income from your experience.
You sell not hours of work, but your value and results.
People turn to you for professional expertise, not just execution.
You understand how to grow your income and influence.
You become a noticeable specialist in your field.
You have a stable career path for the coming years.
You work at the level of a confident middle or senior specialist.
You earn several times more than at the starting stage.
You choose projects and companies, rather than just looking for a job.
You understand how to create a product and earn income from your experience.
You sell not hours of work, but your value and results.
People turn to you for professional expertise, not just execution.
You understand how to grow your income and influence.
You become a noticeable specialist in your field.
You have a stable career path for the coming years.
How to build a dream career
You get to choose among offers, rather than accept the first one that comes along.
Career center tools
- Résumé preparationTaking into account current job market requirements and HR specialists' expectations
- Career webinarsTo discuss the main interview questions and cases.
- 360° SupportConstant contact with a career center specialist on any job placement question
-
Profile auditLinkedIn, HH.ru, Staff.am. We will present your experience in the best possible way. - Q&AWe have collected typical HR questions and prepared answers, ensuring you are fully prepared.
-
Course: Interview from 0 to a job offerA special module that prepares you for the interview. -
Job chatGet job openings directly in Telegram, being the first to see them from 3 different sources. -
Guides and checklistsFor preparing for interviews on your own, so you feel confident and without fear. -
Communication with employersGet job openings directly in Telegram from the 3 very first sources. -
Motivation and supportWe are always by your side. We help analyze interviews and strengthen weak points.
What will the career center give you?
You choose, you are not the one being chosen
Where you can build a dream career
Learning path
Learning sections
Applying artificial intelligence in Machine Learning and AI
You will learn to use AI tools, work with data, build Machine Learning models and develop modern AI solutions.
Course program
Module 1. Introduction to Python programming
Module 2. Data types and algorithmic thinking
Module 3. Functions, files and modules in Python
Module 4. Introduction to Artificial Intelligence and Machine Learning
Module 2. Data types and algorithmic thinking
Module 3. Functions, files and modules in Python
Module 4. Introduction to Artificial Intelligence and Machine Learning
Module 5. NumPy library basics
Module 6. Pandas and data processing
Module 7. Data cleaning and preparation
Module 8. Data visualization with Matplotlib and Seaborn
Module 6. Pandas and data processing
Module 7. Data cleaning and preparation
Module 8. Data visualization with Matplotlib and Seaborn
Module 9. Core concepts of Machine Learning
Module 10. Supervised learning and regression
Module 11. Classification algorithms
Module 12. Model evaluation and optimization
Module 10. Supervised learning and regression
Module 11. Classification algorithms
Module 12. Model evaluation and optimization
Module 13. Unsupervised learning and clustering
Module 14. Feature Engineering and feature selection
Module 15. Ensemble methods and Random Forest
Module 16. Practical projects with Machine Learning
Module 14. Feature Engineering and feature selection
Module 15. Ensemble methods and Random Forest
Module 16. Practical projects with Machine Learning
Module 17. Generative AI and Large Language Models basics
Module 18. Prompt Engineering and effective use of AI tools
Module 19. AI APIs and building AI applications
Module 20. AI automation and real-world applications
Module 18. Prompt Engineering and effective use of AI tools
Module 19. AI APIs and building AI applications
Module 20. AI automation and real-world applications
Module 21. Deep Learning and Neural Networks basics
Module 22. Computer Vision and Image Processing basics
Module 23. Natural Language Processing (NLP) and Large Language Models
Module 24. MLOps and deploying AI models in a Production environment
Module 22. Computer Vision and Image Processing basics
Module 23. Natural Language Processing (NLP) and Large Language Models
Module 24. MLOps and deploying AI models in a Production environment
Tools and technologies you will learn
-
Python and programming basics- Python
- Data types
- Functions and core programming principles
- Data processing and analysis
- NumPy
- Pandas
- Data cleaning and preparation
- Data visualization
- Machine Learning tools
- Scikit-learn
- Machine Learning algorithms
- Model training and evaluation
- Generative AI and LLM tools
- ChatGPT
- Prompt Engineering
- AI APIs
- Building AI applications
- Deep Learning and Neural Networks
- Neural networks
- Deep Learning models
- Computer Vision and NLP basics
- MLOps and deploying AI solutions
- Deploying AI models
- Production environments
- Managing AI systems
Packages
MINI
24 modules
24 case tests
24 additional materials
Individual feedback
Support, motivation and care
Certificate upon course completion
Digital community access: 1 year
Closed Telegram group access with job openings: 1 year
49 200 AMD per month
68 716
BASE
24 modules
24 case tests
24 additional materials
Individual feedback
Support, motivation and care
Certificate upon course completion
Digital community access: 1 year
Closed Telegram group access with job openings: 1 year
Platform access: 1 year
2 cross-industry video workshops with online practice
CV in Armenian
Photo for your CV
Video workshop: building your staff.am profile
LinkedIn profile audit + feedback: 2 months
65 800 AMD per month
85 938
PRO MAX
24 modules
24 case tests
24 additional materials
Individual feedback
Support, motivation and care
Certificate upon course completion
Digital community access: 1 year
Closed Telegram group access with job openings: 1 year
Platform access: 1 year
2 cross-industry video workshops with online practice
CV in Armenian
Photo for your CV
Video workshop: building your staff.am profile
LinkedIn profile audit + feedback: 2 months
Support with job-related questions: 3 months
1 individual interview simulation
staff.am profile audit + feedback: 2 months
Portfolio packaging in your resume upon course completion
Resume in English
3 universal career webinars on interviews
Video workshop: packaging your professional profile on platforms
Video workshop: working with clients on an industry freelance platform
82 500 AMD per month
111 771
Monthly payment with a 12-month installment plan
Frequently asked questions
The Machine Learning + AI course costs, with a 12-month installment plan: MINI package 49 200 ֏ per month, BASE package 65 800 ֏ per month, PRO MAX package 82 500 ֏ per month. Monthly installment payment is available.
The course lasts 6 months.
The format is hybrid: classes are held in Yerevan at 4 Tigran Mets Avenue, and on an online learning platform.
Yes, the course is designed for beginners.
Yes, the academy has a job placement support program. The support depends on the chosen package, for example, profile audits and access to a closed Telegram group with job openings.
Yes, the academy holds free career consultations and helps you choose the right path. Leave a request on the website or call +374 93 12-96-06.
GortsUp Academy is located in Yerevan, at 4 Tigran Mets Avenue. Phone: +374 93 12-96-06, email: info@gortsup.am.
Where to start? We will help
- If you don't yet know what your strengths are;
- If you want a change but can't decide which field to start with;
- Or if you simply want to discover which professions offer decent earnings:
our specialist will hold a Free career consultation and help you choose the right path.
Contacts
GortsUp Academy