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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.

11
available courses

What You’ll Learn to Build

Smart data and automation workflows

Effective prompt engineering for internal tools and copilots

AI-powered apps that drive real business impact

Production-ready LLM and GenAI pipelines

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.

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