Free MLOps and AI learning for engineers across the Middle East and North Africa. Live sessions, structured roadmaps, open courses, and mentorship — free for the community. For companies, we also train, staff, and build.
Our free live sessions, in one place. Register on Zomra, attend live, and catch the recording afterwards.
Inference, Serving & Release Strategies
Sunday 6 Sept, 7:00 pm Cairo
Aya Nasser Salama · Founder of MLOps MENA Community and Senior MLOps Engineer
Lesson 3 of the five-lesson MLOps Practitioner course. Lessons 1 and 2 are already on YouTube if you are catching up.
Built in the open across the region — every number below links to the place it comes from.
Pick the piece you need today — none of it costs anything. We also work with companies, and that work is what pays for this.
Regular live sessions on production ML, taught by engineers who ship it. Recorded and published free.
Three structured paths from zero to job-ready, built entirely on free and open-source resources.
Cohort-based courses with live lessons, real projects, and a certificate — delivered with Zomra.
Help for researchers on reproducibility, tooling, and the engineering behind publishable work.
Routes into real teams through our partners, so students finish with production experience.
Thousands of engineers across MENA who review your code, unblock you, and share openings.
Built entirely on free and open-source resources — 167 curated links across the three paths.
Serving, evaluating, and operating LLM systems in production — the operational half of GenAI that almost nobody teaches.
Get notifiedRegister on Zomra, attend live, and catch the recording afterwards.
Docker: Building the Foundation for MLOps — Day 1
Saturday 22 Aug, 8:00 pm Cairo
Mahmoud Sharif · Instructor · 3+ years experience
Bridging Traditional DevOps and Private AI Workloads
Thursday 6 Aug, 8:00 pm Cairo
Mohamed Rashad · Co-Founder & CTO, DevisionX
Study alongside people at your level. Choose based on your actual hands-on experience, not your job title.
Every public repository under our GitHub organisation, listed straight from GitHub.
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.
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.
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.
Another place to find us — our space on Brainsmingle. For a limited time you can join free this week with the code below.
Practitioners who build and operate ML systems for a living, teaching what they actually do at work.
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.
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.
Co-runs the community day to day — sessions, study groups, 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
Yes. Sessions, roadmaps, articles, study groups, 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.
Questions, partnerships, sponsorship, or hiring — here is how to reach us.
Talk to the founder about future partnership and collaboration.
Aya Nasser Salama
Founder
Thousands of engineers across MENA are already in the room — reviewing each other’s code, sharing openings, and getting unblocked. It costs nothing.
