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3 lessons per week
6 months
Build your first AI model under the guidance of mentors from top companies!
AI Engineer
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Wide range of applications
Highest salaries
Growth of AI/Deep-tech startups in the market
AI Engineer is a specialist in artificial intelligence who develops, tests, and applies various machine learning models and AI algorithms to create effective systems and solutions. You will have the opportunity to influence the development of AI by participating in the process of creating solutions for various real-life problems.
Why Choose AI Engineer?
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People with a deep interest in AI who have independently studied basic concepts
Enthusiasts
Data Specialists
For those who already work with data analysis or statistics
Software Engineers
For people who know any programming language at a good level
Who is this course for?
03
Extract, Process, and Analyze Textual Data
Develop skills in cleaning, processing, and transforming text data into numerical formats. Apply techniques like text classification, sentiment analysis, named entity recognition, and summarization for insightful analysis.
02
Master Visual Data Processing
Learn essential techniques such as object recognition, image classification, segmentation, and facial detection. Explore deep learning applications for generating and analyzing visual content..
01
Test Hypotheses and Develop your First Prototype with Industry Partners
Gain both theoretical knowledge and hands-on experience by working on real business cases. Our partners will provide assignments for you to implement your first real projects.
What will you learn in this course?
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Detailed Program
Natural Language Processing
Emotion recognition in speech
Image description generator
Language recognition
Chatbot
Computer Vision
Biometric identification
Gender and age detection
Traffic sign recognition
Gesture recognition
Machine Learning
Recommendation systems
Dynamic pricing system
Demand forecasting
Cases Upon Completion of the Program
Course Format
The AI Engineer program redefines learning through a project-based approach, tailored for ambitious professionals eager to develop innovative startups and tackle complex business challenges in fields like machine learning, computer vision, recommendation systems, and natural language processing.

This program is designed for individuals with prior programming experience. Participants should have a basic understanding of mathematics, programming (Python, Java, JavaScript, etc.), object-oriented programming (OOP) principles, and fundamental algorithms to get the most out of the course.
  • The course follows an intensive format, 3 times a week for 2 hours each
  • During the course, participants solve 4 major cases
  • Homework assignments are provided for all lessons
  • All lectures and additional materials remain available for 3 months after course completion
  • On average, our students spend 12 hours per week studying
Mentorship Features:
  • Personal Consultations: Meetings with a mentor to discuss tasks and grasp the material.
  • Practical Feedback: Specific advice on improving completed assignments and projects.
  • Insights from Real-World Experience: Knowledge based on real projects and the mentor's expertise.

Benefits for Students:
  • Accelerated learning process.
  • Improved practical skills through real cases.
  • Networking with developers from major companies.
What to Expect:
  • Expert Knowledge: Guest lectures by MAANG experts in machine learning who share their unique insights and experiences.
  • Trending Topics: Discussions on the latest trends and cutting-edge technologies in machine learning.
  • Direct Interaction: The opportunity to ask questions and discuss relevant topics with leading industry professionals.
  • Real-World Case Studies: Analysis of real projects and challenges that specialists face in practice.
Cases:
  • Practical Experience: Hands-on work on real projects deepens understanding of the material and enhances problem-solving skills.
  • Project Portfolio: Completed case studies will be a valuable addition to your portfolio and increase your chances of successful employment.
  • Internship: The top-performing students of the course will be selected for internships at partner companies.
Software Engineer, Capchase inc.
Adilet Gaparov
Head of DS, Kazdream Technologies
Artem Rychko
Team Lead ML, Parqour
Kamalkhan Artykbayev
Our Mentors
ML Team Lead, Halyk Bank
Bibarys Mussagaliyev
LinkedIn
LinkedIn
LinkedIn
LinkedIn
The average salary of AI specialists in Kazakhstan is 700,000 KZT
75000
are waiting for you
job openings
More than
Senior
In 3-5 years
1 500 000 KZT
800 000 KZT
In 1-3 years
Middle
400 000 KZT
Right after the course
Junior
Your salary will grow with experience
My Skills:
Transforming ideas into functional products, understanding the software development lifecycle;
Deploying models to production, including containerization and scaling;
Classifying and detecting objects;
Converting text descriptions into visual content.
Using personal identification technologies and anti-counterfeiting methods;
Developing and training generative adversarial networks (GANs) for various visual effects;
Creating efficient queries for LLM models;
BERT
Python
VIT
GAN
LLM
VAE
OpenCV
Transformers
Docker
Scikit-learn
Tech Stack:
AI Engineer
Your Name
Experience and Case Studies:
Emotion recognition in speech
Language recognition
Image description generator
Gesture recognition
Biometric identification
Recommendation systems
Partner Cases
Your Resume After the Course
Get a Consultation
Outpeer.kz – education that changes the future!
Kazakhstan’s No.1 Data Science school, guided by top local and international experts.
About Outpeer.kz
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Full Payment
350 000 KZT
#Internal Scholarship
#Tech Orda
850 000 KZT
71 000 KZT/month
Installment Payment
30 000 KZT/month
Installment for 12 months
Tuition Fees
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