EN
Contact Us

AI for Tech

Bring AI into your codebase — with practical training that scales

Practical knowledge for tech teams to lead the AI shift — automate, optimize, and scale real solutions.

25
available courses

What You’ll Learn to Build

Prompting that works

Craft prompts that improve tools and copilots used across your stack.

LLM pipelines that scale

Build production-ready GenAI pipelines with real use cases
and tools.

Smarter automation flows

Automate data handling
and workflows to boost speed
and consistency.

ML systems, end to end

Deploy full ML systems that connect directly to your business needs.

 Why Most Technical AI Initiatives Stall — and How We Fix It

AI Deployment
Pain

Experiments that never scale

AI stays in prototypes
and proof-of-concepts.

Misalignement

No link to production workflows

Teams don’t know how to
integrate AI into the stack.

How We Solve it

Production-focused training

Courses teach real implementation across your pipelines.

Skills That Deliver Results
Pain

Skills that don’t translate into outcomes

Engineers learn theory, but not how to apply it.

Misalignement

Generic content with little practical value

Training doesn’t reflect real tools or business priorities.

How We Solve it

Code-first, tool-centric programs

Hands-on labs, real datasets, and project-based learning.

Faster AI Adoption
Pain

Slow implementation timelines

Teams struggle to move AI projects into production.

Misalignement

No clear roadmap for scaling

Lack of guidance to plan and prioritize AI initiatives.

How We Solve it

Expert-led guidance & support

Dedicated specialists help teams adopt AI faster.

Learning Paths for Tech
Professionals

All
Artificial Intelligence
Data Analysis
Machine Learning
Programming
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
More courses
More courses
More courses
Сategories

Why Tech Upskilling Matters

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.

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.

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.

Reduction in development

40%

Up to 70% faster onboarding — BairesDev reported 23% of engineers saw ≥50% productivity gains, while 71% saw gains between 10–25%

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.

Talk to a Specialist

Get a customized plan to fit your company’s goals.
Fill in the form
Learn about our product
Get a personalized offer for your business needs
We will reach out to understand your objectives and craft a solution that means to you