AI for Tech
Practical knowledge for tech teams to lead the AI shift — automate, optimize, and scale real solutions.
Craft prompts that improve tools and copilots used across your stack.
Build production-ready GenAI pipelines with real use cases
and tools.
Automate data handling
and workflows to boost speed
and consistency.
Deploy full ML systems that connect directly to your business needs.
AI stays in prototypes
and proof-of-concepts.
Teams don’t know how to
integrate AI into the stack.
Courses teach real implementation across your pipelines.
Engineers learn theory, but not how to apply it.
Training doesn’t reflect real tools or business priorities.
Hands-on labs, real datasets, and project-based learning.
Teams struggle to move AI projects into production.
Lack of guidance to plan and prioritize AI initiatives.
Dedicated specialists help teams adopt AI faster.
40 Hours · 4 Skills
40 Hours · 4 Skills
40 Hours · 4 Skills
40 Hours · 4 Skills
40 Hours · 4 Skills
40 Hours · 4 Skills
40 Hours · 3 Skills
40 Hours · 3 Skills
30 Hours · 2 Skills
30 Hours · 2 Skills
40 Hours · 2 Skills
40 Hours · 2 Skills
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40 Hours · 4 Skills
40 Hours · 4 Skills
20 Hours · 12 Skills
20 Hours · 12 Skills
30 Hours · 3 Skills
30 Hours · 3 Skills
30 Hours · 9 Skills
30 Hours · 9 Skills
32 Hours · 11 Skills
32 Hours · 11 Skills
20 Hours · 6 Skills
20 Hours · 6 Skills
15 Hours · 5 Skills
15 Hours · 5 Skills
15 Hours · 5 Skills
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30 Hours · 7 Skills
30 Hours · 7 Skills
15 Hours · 3 Skills
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30 Hours · 2 Skills
30 Hours · 2 Skills
30 Hours · 2 Skills
30 Hours · 2 Skills
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20 Hours · 2 Skills
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15 Hours · 5 Skills
15 Hours · 5 Skills
15 Hours · 5 Skills
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30 Hours · 9 Skills
30 Hours · 9 Skills
40 Hours · 4 Skills
40 Hours · 4 Skills
30 Hours · 2 Skills
30 Hours · 2 Skills
40 Hours · 2 Skills
40 Hours · 2 Skills
30 Hours · 2 Skills
30 Hours · 2 Skills
40 Hours · 3 Skills
40 Hours · 3 Skills
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40 Hours · 4 Skills
20 Hours · 2 Skills
20 Hours · 2 Skills
20 Hours · 2 Skills
20 Hours · 2 Skills
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40 Hours · 3 Skills
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~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.
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.
~32%
A large-scale study across Microsoft and Accenture found teams using Copilot produced more code and iterated faster without lowering quality.
40%
Up to 70% faster onboarding — BairesDev reported 23% of engineers saw ≥50% productivity gains, while 71% saw gains between 10–25%
50%
AI speeds up tests and bug detection significantly—automated testing cuts testing time, while automated code review detects vulnerabilities with over 90% accuracy.
Or email us at business.academy@nebius.com