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4,000+ engineers already in the roomMLOps MENA Community

Most engineers can train a model.Almost none can ship it.

Free MLOps and AI learning for engineers across the Middle East and North Africa: structured roadmaps, tool guides, live sessions and cohort courses. For companies, we also train, staff and build.

Partners

Become a partner

Host a track, sponsor a cohort, or open your platform to thousands of engineers across MENA.

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Community calendar

What is coming up

Live sessions, course lessons and deadlines, straight from the community calendar.

Subscribe to the whole calendar
What we do

Our goal is to make production-grade machine learning skills reachable for every engineer in the Middle East and North Africa — taught by people who do this work for a living, and free for everyone.

Pick the piece you need today — none of it costs anything. We also work with companies, and that work is what pays for this.

Live sessions

Regular live sessions on production ML, taught by engineers who ship it. Recorded and published free.

Learning roadmaps

Three structured paths from zero to job-ready, built entirely on free and open-source resources.

Open courses

Cohort-based courses with live lessons, real projects, and a certificate — delivered with Zomra.

Research support

Help for researchers on reproducibility, tooling, and the engineering behind publishable work.

Internships

Routes into real teams through our partners, so students finish with production experience.

A community that answers

Thousands of engineers across MENA who review your code, unblock you, and share openings.

Learning roadmaps

Three paths to production ML

Built entirely on free and open-source resources — 322 curated links across the three paths.

All roadmaps
Beginner → Solid ML foundation

Classical Machine Learning Roadmap

From zero to a solid ML foundation

Students, fresh graduates, software engineers and data analysts who want a solid ML foundation.

11 phases · 8 weeks

34 free resources
Beginner → Job-ready

Basic MLOps Engineer Roadmap

From zero to job-ready

Students, ML Engineers, Software Engineers, and Data Scientists breaking into MLOps.

5 phases · 6–9 months

51 free resources
DevOps → MLOps

The DevOps to MLOps Transition Roadmap

The fastest career pivot in tech

DevOps, SRE, platform and infrastructure engineers moving into ML.

5 phases · 3–5 months

31 free resources
Intermediate (knows classical ML) → Advanced

Deep Learning, NLP, CV and Generative AI Roadmap

From neural network maths to LLMs, vision and multimodal systems

Students and engineers who already know classical ML and want to go deep on modern AI.

22 phases · ~8 months

88 free resources
Intermediate → Advanced

AI Architecture & Design Patterns Roadmap

From calling an LLM to designing systems that hold up in production

Engineers who can already call an LLM API and want to design the whole system: which pieces to use, how to connect them, and when a simple workflow beats an agent.

6 phases · 4 months

6 free resources
Intermediate → Senior

GPU Utilization Roadmap

Getting the most out of GPUs in training and serving AI workloads

ML Engineers, MLOps Engineers, Software Engineers, and Data Scientists who can already train a model and now need to make it faster, cheaper, and production-ready on GPUs.

5 phases · 6 months

19 free resources
Beginner → Exam-ready

AWS Certified AI Practitioner Roadmap

Learn to choose, evaluate, and use AWS AI solutions responsibly — and prepare confidently for AIF-C01

Business professionals, students, and cloud beginners. No coding or advanced mathematics required; basic IT familiarity helps.

4 phases · 8 weeks

8 free resources
Mid → Senior

MLOps Roadmap for Seniors

Depth, system thinking, and production scale

Junior and mid-level MLOps engineers levelling up to Senior.

7 specializations · Ongoing

85 free resources
Open source

What we build in the open

Every public repository under our GitHub organisation, listed straight from GitHub.

Our GitHub
Articles

Published on LinkedIn and Medium

All articles
LinkedIn

Tokenization: How LLMs Turn Text Into Something They Can Process

You type a sentence and assume the model receives it as you wrote it. It does not. What actually happens to your text before the model ever sees it.

Read 11 Aug 2026
LinkedIn

Introduction to Large Language Models: Understanding the Foundation of Modern AI

What a large language model actually is, and why these models are called 'large' — the foundation piece, before tokenization and everything built on top of it.

Read 1 Aug 2026
LinkedIn

The DevOps to MLOps Transition Roadmap

You already own 60–70% of the skillset. This roadmap adds only the ML layer on top — the fastest career pivot in tech, in five phases over three to five months.

Read 8 Jul 2026
Limited time

We are also on Brainsmingle

Another place to find us — our space on Brainsmingle. For a limited time you can join free this week with the code below.

Free to join this week with code

FREECORETEAM

Join the space
The team

Who runs this community

Practitioners who build and operate ML systems for a living, teaching what they actually do at work.

Aya Nasser Salama
Founder

Aya Nasser Salama

Senior MLOps & LLMOps Engineer with 6+ years in AI. At Unifonic she is the central MLOps/LLMOps support across AI teams — agentic products with LangGraph and MCP, LLM evaluation and observability, and 30B+ model serving on Kubernetes. She designed and teaches "Production ML Engineering" at ITI, and built Valeo's first production RAG system.

Basem Abusaif
Community Director

Basem Abusaif

AI Engineer working on 3D perception and generative AI, with 5+ years building deep learning pipelines for autonomous systems. Leads the 3D perception stack at Wakeb Data and previously productionised LiDAR simulation models at Valeo. Completing an MSc in Informatics at Nile University.

Omar Salah
Community Director

Omar Salah

Co-runs the community day to day — sessions, and keeping the programme moving.

Plus 6 leads across six owned axes

Instructor Lead · Content Lead · Research Lead · Community Growth & Partnerships Lead · Sessions & Mentorship Lead · Platform & Social Media Lead

Meet the team (9)
FAQ

Questions we get every week

All answers

Yes. Sessions, roadmaps, articles, guides, and community support cost nothing, and our courses are delivered with our educational partner Zomra. We are not a charity, though: alongside the community we run a services business — training, talent outsourcing, software delivery and consultation for companies — and that paid work is what pays for the free side. It never moves community content behind a paywall.

Not for the community or the roadmaps — the Basic MLOps Engineer Roadmap starts from programming fundamentals. The MLOps Practitioner course does expect basic Python and at least one model you have trained before.

If you are new to the field, start with the Basic MLOps Engineer Roadmap. If you already work in DevOps, SRE, or platform engineering, go straight to the DevOps to MLOps Transition Roadmap — you can skip most of the basics. If you are already working in MLOps, the Seniors roadmap helps you pick a specialization.

Yes. We help researchers with reproducibility, tooling, and the engineering side of publishable work. Bring your problem to the community channels.

Contact us

Talk to the community

Questions, partnerships, sponsorship, or hiring — here is how to reach us.

Community & general

Courses, sessions, roadmaps, and guides.

hello@mlopsmena.com

Partnerships & collaboration

Talk to the founder about future partnership and collaboration.

Aya Nasser Salama

Founder

Join us

Learning MLOps alone is unnecessarily hard

Thousands of engineers across MENA are already in the room — reviewing each other’s code, sharing openings, and getting unblocked. It costs nothing.