
Docker Deep Dive
Docker: Building the Foundation for MLOps — Day 1
Saturday, 22 Aug · 8:00 PM Cairo
Mahmoud Sharif · Instructor · 3+ years experience
Free MLOps and AI learning for engineers across the Middle East and North Africa. Live sessions, structured roadmaps, open courses, and mentorship — always free.
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Docker: Building the Foundation for MLOps — Day 1
Saturday, 22 Aug · 8:00 PM Cairo
Mahmoud Sharif · Instructor · 3+ years experience
No prerequisites — no prior Docker or Kubernetes required.
Everything the community runs is free and open. Pick the piece you need today.
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 — 159 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.
The tools and courses we point people at, plus our own course repo.
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.
Seven specializations — LLMOps, model optimization, production Kubernetes, advanced monitoring, performance and load testing, system design for ML, and soft skills. Pick two or three and go deep.
The roadmap I would give my younger self — five phases over six to nine months, built entirely on free and open-source resources, because the real knowledge in this field lives on GitHub and YouTube.
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.
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 always will. Our courses are delivered with our educational partner Zomra.
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 · Senior MLOps Engineer
Thousands of engineers across MENA are already in the room — reviewing each other’s code, sharing openings, and getting unblocked. It costs nothing.