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AI for Work
AI for Tech
For Business
Blog
EN
English
Contact us
Log In
AI for Work
Available programs
AI for Managers
AI for Smart Work
AI for Marketing
AI for Sales
AI Agents and Automation
AI Prompting Essentials
Most companies use AI. Few scale it effectively
Discover five common mistakes that prevent real AI adoption
Download the Guide
Guide titled 'Why companies fail to scale AI' with images of a phone screen, a man, and stationery items.
AI for Tech
Available programs
AI-Assisted Programming
Advanced SQL
Basic SQL
Basics of Machine Learning
The Basics of Python for Data Analysis
Data Wrangling
Statistical Data Analysis
Machine Learning in Business
Numerical Methods
of Machine Learning
Supervised Learning
Time Series in ML
Data Visualization
for Better Business Insights
Linear Algebra
Most AI pilots never reach production
Discover the tools, frameworks, and practices behind scalable AI systems
Download the eBook
Cover of AI Stack Toolkit ebook by Nebius Academy for technical leaders with images of people and abstract tech graphics.

Schedule a Consultation

You’re just one email away from transforming your company! Our team will reach out to understand your strategic objectives and craft a tailored solution thatmeets your specific needs.

Or email us at business.academy@nebius.com

We will reach out to understand your objectives and craft a solution that means to you
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Made for tech specialists

Build with AI — with hands‑on training that scales with you

Practical AI learning for developers, data scientists, and engineers who want to build real solutions and drive innovation at scale.
Contact us
30
Hours
4
Skills
Basics of Machine Learning
40
Hours
4
Skills
Supervised Learning
40
Hours
3
Skills
Machine Learning in Business
30
Hours
3
Skills
Time Series in ML
30
Hours
4
Skills
Basics of Machine Learning
40
Hours
4
Skills
Supervised Learning
40
Hours
3
Skills
Machine Learning in Business
30
Hours
3
Skills
Time Series in ML
30
Hours
4
Skills
Basics of Machine Learning
40
Hours
4
Skills
Supervised Learning
40
Hours
3
Skills
Machine Learning in Business
30
Hours
3
Skills
Time Series in ML
30
Hours
4
Skills
Basics of Machine Learning
40
Hours
4
Skills
Supervised Learning
40
Hours
3
Skills
Machine Learning in Business
30
Hours
3
Skills
Time Series in ML

What you’ll learn to build

Master the skills to design, automate, and scale AI systems that drive business impact.

LLM pipelines that scale

Design and deploy production-ready GenAI pipelines with LangChain, HuggingFace, and more.

Prompting that delivers results

Learn to craft prompts that power copilots and intelligent tools across your stack.
Flowchart with three nodes labeled Prompt, Tools, and Output connected by curved lines on a green gradient background.Diagram showing a flow from Prompt to Herramientas to Output on a green blurred background.Abstract blurred green and yellow background with white curved lines and text labels Prompt, Herramientas, Output.Abstract green and yellow gradient background with thin white curved lines and the words Prompt, Tools, Output.

Smarter automation flows

Automate data handling and workflows to accelerate delivery and reduce errors.
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End-to-end ML systems

Build and deploy machine learning solutions that connect directly to business goals.
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Learning paths for tech professionals

From AI engineering to machine learning and programming foundations, our courses give tech teams the skills to lead AI adoption.
14
Hours
10
Skills
AI-Assisted Programming
Use AI to accelerate development and integrate LLMs into your everyday workflow.
30
Hours
4
Skills
Numerical Methods of Machine Learning
Master core training algorithms and gain hands-on skills to implement and fine-tune real-world ML solutions.
30
Hours
4
Skills
Basics of Machine Learning
Master core ML concepts with Scikit-learn, building predictive models for real-world tasks.
12
Hours
4
Skills
Linear Algebra
Strengthen your foundation for ML with hands-on vector and matrix operations in NumPy and SciPy.
40
Hours
3
Skills
Machine Learning in Business
Learn to align ML with business metrics and impact, connecting data, models, and KPIs to support smarter business decisions.
40
Hours
4
Skills
Supervised Learning
Go deeper into regression and classification, using new metrics and fine-tuning techniques to boost model accuracy.
30
Hours
3
Skills
Time Series in ML
Develop skills for analyzing sequential data, transforming time series into features, detecting trends and seasonality.
15
Hours
5
Skills
Advanced SQL
Use advanced SQL tools to analyze data and solve complex business problems.
20
Hours
6
Skills
Basic SQL
Learn core SQL skills to query, sort, and present data effectively at work.
20
Hours
3
Skills
Statistical Data Analysis
Explore probability, distributions, and hypothesis testing to analyze data.
32
Hours
11
Skills
The Basics of Python for Data Analysis
Master Python fundamentals to prepare for advanced analytics and ML projects.
5
Hours
2
Skills
Data Visualization for Better Business Insights
Design clear, stakeholder-centered visualizations and dashboards that support better business decisions.
25
Hours
8
Skills
Data Wrangling
Learn how to transform raw, messy datasets into clean and structured data using Python
See more

How it works

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Desk with notebooks containing handwritten notes and pens in blue, red, orange, green, and purple.Comment to student advising to move inline CSS to a separate stylesheet or link to keep head and body structure valid.
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Hands-on from day one
Real datasets, interactive labs, and applied projects — because AI learning starts with doing.
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Expert feedback loop
Live Q&As, code reviews, and personalized
guidance from senior AI engineers.
Desk with notebooks containing handwritten notes and pens in blue, red, orange, green, and purple.Comment to student advising to move inline CSS to a separate stylesheet or link to keep head and body structure valid.
Real-world tools, real results
Practice with HuggingFace, PyTorch, LangChain, Docker, SQL, and more — in the same environments used at work.
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Dedicated Customer Success Manager
A partner who ensures progress, alignment,
and measurable business outcomes.
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Why tech upskilling matters

When developers understand AI, innovation follows. These results show how hands-on AI training transforms technical teams into faster, smarter, and more creative builders.
Productivity Growth
40%
Developers cut coding time by up to 50% using AI tools, which frees them from repetitive boilerplate work and allows focus on complex logic and innovation.
Stanford HAI, 2024
Task speed boost
56%
A Stanford trial showed developers using GitHub Copilot finished tasks 55.8% faster than those coding solo, demonstrating the significant speed increase with AI pair programming.
Deloitte, 2024
More tasks and compilations
32%
A large-scale study across Microsoft and Accenture found teams using Copilot produced more code and iterated faster without lowering quality.
McKinsey, “Economic Potential of Generative AI”
Companies are using AI
40%
Up to 70% faster onboarding — BairesDev reported 23% of engineers saw ≥50% productivity gains, while 71% saw gains between 10–25%.
Quanter.com
Testing and bug detection
50%
AI speeds up tests and bug detection significantly—automated testing cuts testing time, while automated code review detects vulnerabilities with over 90% accuracy.
McKinsey, “The State of AI,” 2024

Let’s build your AI engineering roadmap

Talk to our team and get a tailored roadmap to help your tech teams build, deploy, and scale AI confidently in production
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Schedule a Consultation

You’re just one email away from transforming your company! Our team will reach out to understand your strategic objectives and craft a tailored solution thatmeets your specific needs.

Or email us at business.academy@nebius.com

We will reach out to understand your objectives and craft a solution that means to you

Schedule a Consultation

You’re just one email away from transforming your company! Our team will reach out to understand your strategic objectives and craft a tailored solution thatmeets your specific needs.

Or email us at business.academy@nebius.com

We will reach out to understand your objectives and craft a solution that means to you