AI Training by Tech Role

Specialist AI training for every tech role.

Four role-specific tracks — each designed around the actual workflows, tools, and challenges of that engineering discipline. Individual plans and organisation plans available.

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Backend & Full-Stack Engineers

AI for Software Engineers

Go from backend developer to AI engineer — with production-grade projects, real codebases, and skills you can apply to any enterprise system.

Designed for backend and full-stack software engineers who want to master Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). Every mod…

🕐 12 weeks · 6hrs/weekView Track →
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Quality Assurance, SDET & Test Automation Engineers

AI for QA Engineers

AI systems fail differently from traditional software. Master the new discipline of AI quality engineering before it becomes a mandatory skill.

A comprehensive upskilling track for QA engineers, SDETs, and test automation specialists who need to test AI-powered systems — and use AI to dramatically accelerate thei…

🕐 10 weeks · 5hrs/weekView Track →
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DevOps, SRE & Platform Engineers

AI for DevOps & Platform Engineers

MLOps is DevOps for AI. If you understand CI/CD, you are closer to production AI engineering than you think.

The AI era has created an entirely new infrastructure workload for DevOps and platform teams — model deployment, GPU infrastructure management, experiment tracking, drift…

🕐 10 weeks · 6hrs/weekView Track →
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Principal Engineers, Solution Architects & Engineering Leaders

AI for Software Architects

The engineers who design AI systems will define what the next decade of software looks like. This track gives you the frameworks to lead that work.

A strategic and deeply technical track for senior engineers, solution architects, and engineering leaders responsible for the architectural decisions that determine wheth…

🕐 8 weeks · 5hrs/week — executive-density sessions with peer discussionView Track →
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Product Managers, Product Owners & Product Leads

AI for Product Managers

Shipping AI features is a product problem before it is a model problem. Learn to scope, evaluate and launch them well.

A practical track for product managers who are shipping AI features or deciding whether to. AI features behave differently from traditional software: they are probabilist…

🕐 8 weeks · 5hrs/weekView Track →
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Security Engineers, AppSec, Red Teamers & Security Architects

AI Security Engineering

AI applications have a new attack surface. Learn to test it, break it and defend it.

A hands-on track for security professionals responsible for AI systems. LLM applications, retrieval pipelines and AI agents introduce risks that traditional application s…

🕐 8 weeks · 6hrs/weekView Track →
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Data Engineers, Analytics Engineers & Data Platform Teams

AI for Data Engineers

AI is only as good as the data it retrieves. Build the pipelines that make AI systems reliable.

A hands-on track for data engineers who prepare data for AI systems. Retrieval-augmented generation and agents depend on well-processed, well-governed data: documents par…

🕐 8 weeks · 6hrs/weekView Track →
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Engineering Teams Adopting GitHub Copilot, Cursor, Claude Code & Similar Tools

AI Coding Assistants for Engineering Teams

Most teams now have an AI coding tool. Far fewer have a way of working with it.

A short, tool-agnostic programme for engineering teams choosing, rolling out or getting more from AI coding assistants. It covers the main tools and how to evaluate them,…

🕐 3 weeks · 5hrs/weekView Track →

Which track is right for you?

RoleFocusDurationLevelChoose if you...
Software EngineerGenAI, RAG, LLMs & agents12 weeksIntermediateBuild AI features into your product
QA EngineerTesting & evaluating AI systems8 weeksIntermediateEnsure AI quality and catch regressions
DevOps / SREOperating ML infrastructure8 weeksIntermediateManage AI deployment and MLOps
Software ArchitectDesigning AI systems8 weeksSenior (5+ yrs)Lead AI architecture decisions
Pricing — Individual & Organisation

Plans for every engineer and every team.

Individual plans from AED 1,299/month. Organisation plans from AED 10,500/month for teams of 5–15.

Foundations

Self-paced access to your chosen role track with engineer code review.

AED 1299/mo
  • ✓Full role track curriculum (self-paced)
  • ✓5 hands-on lab projects
  • ✓Code review from HYVE engineers
  • ✓Community Discord access
  • ✓HYVE AI Certificate
  • ✓3 months access
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Professional

Live instruction, mentoring, and job placement support — the full experience.

AED 2499/mo
  • ✓Weekly live instructor sessions
  • ✓All lab projects with code review
  • ✓1-on-1 mentoring 4hrs/month
  • ✓HYVE AI Engineering Certificate
  • ✓6 months access
  • ✓UAE industry scenario projects
  • ✓Job placement support
  • ✓Priority community support
Elite Cohort

Small cohort with direct access to HYVE engineers and real client project experience.

AED 4999/mo
  • ✓Max 10 engineers per cohort
  • ✓Direct weekly access to HYVE engineers
  • ✓Real UAE client project experience
  • ✓Weekly 1-on-1 with HYVE engineer
  • ✓12 months access
  • ✓Demo day with industry guests & investors
  • ✓LinkedIn recommendation from HYVE team
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Next Step After SWE
Finished the Software Engineer track? Get FDE-ready.
Forward Deployed Engineer roles are among the fastest-growing and best-rewarded roles in AI — and hiring directly in Dubai and Abu Dhabi. This is the client-facing layer on top of what you just learned.