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The "Python + AI Specialist" course at GortsUp Academy in Yerevan is designed for beginners. Duration: 6 months. Classes are held in Yerevan at 4 Tigran Mets and on an online platform (hybrid format). Price: from 49 200 ֏ per month with a 12-month installment plan. From the 3rd month of study, a job placement support program is available, and 79% of students find a job during their studies. 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.
A Python + AI Engineer creates software, data and AI solutions. They develop backend systems, work with data, build machine learning models and integrate AI tools (for example GPT) to automate business processes and improve efficiency.
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Analyzes data and business/technical problems
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Develops backend systems and APIs (Python, FastAPI)
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Builds AI/ML models and integrates GPT-based solutions
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Automates processes and improves system efficiency
What problem does the course solve?
Many people on the market learn Python but can't apply it in real AI, data and backend projects. As a result, they can't assemble a strong portfolio and enter the job market. The main reason is the lack of practice and modern AI tools.
In the Python + AI course, you work on real projects from the first month, using Python, data and AI tools to build a ready portfolio.
In the Python + AI course, you work on real projects from the first month, using Python, data and AI tools to build a ready portfolio.
When it is time to change your profession
If you ask yourself these questions, it is time to try something new
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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?
How much does a Python + AI specialist earn?
Average salary in Armenia
$600
Beginner Python + AI specialist
$700+
Python + AI specialist
with 1–2 years of experience
with 1–2 years of experience
$1100+
Python + AI specialist with 3+ years of experience
$1600+
Who is this course for?
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You want to start an IT career from scratch - You want to become a Python or AI developer
- You are interested in AI and automation
- You want a high-paying profession
- You want to work remote or freelance
- You want to build real projects and gain practical experience
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
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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.
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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
Speakers and course authors
Rafik Arakelyan
Data Science & AI Specialist
A Data Science, Machine Learning and AI specialist and lecturer with 5+ years of experience, specializing in Python, Machine Learning, Deep Learning, Generative AI, NLP and Computer Vision.
Professional experience at the Central Bank of Armenia, ServiceTitan, Krisp and Yerevan State University. Founder of the NextGenAI educational community and lecturer of Python, ML and Deep Learning courses.
Professional experience at the Central Bank of Armenia, ServiceTitan, Krisp and Yerevan State University. Founder of the NextGenAI educational community and lecturer of Python, ML and Deep Learning courses.
Job placement support
Requirements for students
- You attend 85%+ of modules
- You pass all tests
- You pass the exam (with a positive result)
- You complete the resume template
We guarantee
- We review your resume and feedback at least once
- We review your staff.am, LinkedIn, hh.ru profiles
- Access to a private Telegram group with job postings
What you will get after the course
- A ready portfolio with Python projects, data analysis, APIs, AI/ML models and GPT-based solutions.
- Readiness for Junior and higher-level Python / AI / Backend job interviews.
- Practical skills in using AI and modern technologies that are used in real IT projects today (GPT, automation, machine learning).
What will you learn?
You will learn the basics of Python + AI, core programming principles and effective use of artificial intelligence tools, applying them in real practical projects.
- Python + AI programming from scratchYou learn the basics of Python + AI and can create real AI-based programs and solutions.
- Python + AI data analysisYou learn to work with data: to process and analyze it and prepare it for AI.
- Developing Python + AI projectsYou learn to build complete Python + AI projects using modern libraries, APIs and practical programming skills.
- Developing AI Agents and intelligent systemsYou learn to build AI Agents, work with LLMs and APIs, and create intelligent systems that solve real business problems.
- Python + AI automationYou learn to automate repetitive processes with Python and build smart automated solutions with AI tools.
- Using AI toolsYou will use AI platforms to speed up your work and improve efficiency.
Using artificial intelligence during the course
You will work with Python and modern AI tools, creating automations, AI projects and real applied programs.
Career opportunities
- -1-Career growth from Python Developer to AI Engineer
- -2-Freelance and remote projects: income from $500 to $3000+
- -3-Work at IT and technology companies
The best companies trust us:
where our graduates work too
Your career after the course
Freelance from the first months
Start working on freelance and remote projects, creating Python and AI solutions for clients.
Career growth
Python Developer → Backend Developer → AI Developer → AI Engineer
Your own projects and startup
Create your own AI products and automation systems, or grow your tech startup.
Course program
- What programming is and how a program works
- How Python understands and executes written code
- Variables: storing values under a name
- Core data types: numbers, text
- Rules for writing code
- Installing Python and VS Code
- First look at a debugging tool
- Practical work: creating the TaskFlow project, a program that asks for the user's name and shows the main menu
- Numbers, text and yes/no values
- Converting a value of one type to another
- Core text-processing techniques
- A convenient way to insert variable values into text
- Getting data entered by the user
- Practical work: entering a task title and description in TaskFlow, with checks for empty or wrong data
- The "if... then... else" structure (if, elif, else)
- Repeated actions: for and while
- Stopping a loop or skipping the next step
- Combining conditions: "and", "or", "not"
- Practical work: the TaskFlow menu repeats until the user chooses "Exit"
- List: an ordered sequence of items
- Tuple: an unchangeable sequence
- Dictionary: "name → value" pairs
- Set: a collection of unique values only
- Selecting elements by position
- Which structure to choose and when
- Practical work: TaskFlow tasks are stored in a list of dictionaries: add, view, edit, delete
- Function: a ready piece of code that can be reused
- Data passed to a function and the result it returns
- The "visibility" scope of a variable
- Splitting large code into parts
- Accepted rules for writing clean code (PEP8)
- Practical work: the TaskFlow code is split into separate files and functions
- Class and object: a real thing in a program
- Creating an object and its properties
- Object actions (methods)
- Inheriting properties from one class to another
- Protecting data inside a class
- Practical work: TaskFlow is restructured with Task and User classes
- Opening, reading and writing a file
- JSON format: storing structured data
- What to do when the program makes an error (try/except)
- Logging program actions
- Practical work: TaskFlow tasks are saved in a file and loaded when the program starts
- Ready-made libraries and installing them (pip)
- A separate environment for the project (venv)
- The project's dependency list (requirements.txt)
- Python block review
- Practical work: creating an isolated environment, adding an external library, final review and test
- Why keeping a history of changes matters
- First steps with Git: initializing a project, selecting and saving changes (init, add, commit)
- Files that should not be saved (.gitignore)
- Viewing the history of saved changes
- Practical work: creating a local Git repository for TaskFlow and making several commits
- Storing a project online on GitHub
- Branches: safe experimenting without breaking the main code
- Merging branches
- A request to accept changes (Pull Request)
- The basic order of teamwork
- Practical work: moving TaskFlow to GitHub, creating a new branch and opening a pull request
- What a database is and why it is needed
- Tables, rows, columns
- Unique identifier and table relationships
- SQL language: select, add, edit, delete data
- Practical work: creating a PostgreSQL database and initial design of the TaskFlow tables
- Joining data from several tables (JOIN)
- Grouping and summarizing data (sum, count, average)
- A query inside a query
- Practical work: complex queries on a test database and statistical queries for TaskFlow
- Principles for avoiding data duplication (normalization)
- Types of relationships between tables: one-to-one, one-to-many, many-to-many
- Indexes that speed up search
- Practical work: creating the final TaskFlow schema and moving data to PostgreSQL
- The approach of linking tables to Python objects (ORM)
- The SQLAlchemy library
- Connecting to a database
- Describing a table with a Python class
- Practical work: TaskFlow starts working with a real database
- Safely changing the database structure with the Alembic tool
- Creating, reading, editing and deleting data from Python
- Practical work: adding a new field and full TaskFlow management through the database
- Validating data before saving to the database
- Transaction: several operations as one indivisible step
- Cancelling an operation if something goes wrong
- Handling database-related errors
- Practical work: strengthening the TaskFlow data layer and preparing for the AI block
- How programs talk to each other over the internet: request and response
- HTTP: the general rules of communication
- Response status codes (for example 200: success, 404: not found)
- Inspecting with browser tools and Postman
- The first address you can send a request to (FastAPI)
- Practical work: TaskFlow becomes a service that can be reached over the internet
- API: a regular way to exchange data between programs
- Creating, reading, editing and deleting tasks through an API
- Calling an external service from Python
- Examples of public APIs
- Practical work: a complete TaskFlow tasks API and connecting one external service
- How large language models (LLMs) work, a general overview
- Which companies provide them
- Access key (API key) and storing it safely
- Structure of a request sent to the model
- Practical work: the first direct request to a model and saving the response (start of RedBeanPython)
- Inner structure of a request and response
- Authentication and request headers
- Usage limits and error handling
- Practical work: a reusable module that sends a message to the model and receives the response
- Model roles: system, user, assistant
- Basics of writing a good prompt
- Receiving the response in parts without waiting for the end
- Structuring conversation history
- Practical work: a command-line chatbot whose response appears gradually
- Conversation memory
- Retrying when the connection fails
- Block review
- Practical work: finishing RedBeanPython and adding it to TaskFlow as an AI feature
- What problem LangChain solves
- Chain of actions
- Prompt template
- Working the same way with different models
- Practical work: the first version of the TaskFlow AI assistant
- Conversation memory in LangChain
- Tools: actions the AI can call on its own
- Agent: an AI that decides which steps to take
- Practical work: the TaskFlow assistant remembers the conversation and uses a tool
- Why AI alone doesn't know your data
- A numeric representation of text that allows searching by meaning
- A data store for semantic search
- The RAG flow: search, give the found material to the model, get a grounded answer
- Practical work: an "Ask about your tasks" feature in TaskFlow
- Project presentation and defense
- Code review
- Writing the project description file (README)
- Resume and GitHub profile
- Practical work: finishing TaskFlow AI and a showcase presentation
Packages
MINI
- 24 modules
- 24 interim tests
- 24 additional learning materials
- Individual feedback during the course
- Constant support from the assistance and service team throughout your studies
- Course completion certificate
- 1 year of access to the professional digital community
- 2 cross-industry video workshops with online practical tasks
- Effective presentation of your portfolio in your CV
- 3 universal career webinars on passing job interviews successfully
49 200 AMD per month
68 716
BASE
- 24 modules
- 24 interim tests
- 24 additional learning materials
- Individual feedback during the course
- Constant support from the assistance and service team throughout your studies
- Course completion certificate
- 1 year of access to the professional digital community
- 2 cross-industry video workshops with online practical tasks
- Effective presentation of your portfolio in your CV
- 3 universal career webinars on passing job interviews successfully
- CV preparation in Armenian
- 1 year of access to a closed Telegram group with job openings
- 1 year of access to the learning platform
- Professional photo for your CV
- Video workshop on creating a staff.am profile
- LinkedIn profile audit and 2 months of feedback
- staff.am profile audit and 2 months of feedback
- Video workshop on building a strong profile on professional platforms
- Video workshop on working effectively with clients on an industry freelance platform
- Video workshop on building a strong Upwork profile
- Video workshop on building a strong professional GitHub profile
- CV preparation in English
65 800 AMD per month
85 938
PRO MAX
- 24 modules
- 24 interim tests
- 24 additional learning materials
- Individual feedback during the course
- Constant support from the assistance and service team throughout your studies
- Course completion certificate
- 1 year of access to the professional digital community
- 2 cross-industry video workshops with online practical tasks
- Effective presentation of your portfolio in your CV
- 3 universal career webinars on passing job interviews successfully
- CV preparation in Armenian
- 1 year of access to a closed Telegram group with job openings
- 1 year of access to the learning platform
- Professional photo for your CV
- Video workshop on creating a staff.am profile
- LinkedIn profile audit and 2 months of feedback
- staff.am profile audit and 2 months of feedback
- Video workshop on building a strong profile on professional platforms
- Video workshop on working effectively with clients on an industry freelance platform
- Video workshop on building a strong Upwork profile
- Video workshop on building a strong professional GitHub profile
- CV preparation in English
- 1 individual interview simulation
- Code Review of your final project
- 2 individual preparation sessions for a technical interview
82 500 AMD per month
111 771
Monthly payment with a 12-month installment plan
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.
Frequently asked questions
The Python + 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. Conditions: 85%+ attendance of modules, passing all tests, a positive exam result and filling in the résumé template. The academy reviews your résumé and your LinkedIn, staff.am and hh.ru profiles, and gives you access to a closed Telegram group with job openings.
According to the GortsUp Academy page, the average in Armenia is $600, beginner - $700+, with 1-2 years of experience - $1100+, with 3+ years of experience - $1600+.
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.
Contacts
GortsUp Academy