Hey, I’m Baraa — a data and AI practitioner with real industry experience leading Data Engineering and AI projects at companies like Mercedes-Benz.

This roadmap brings together everything I’ve learned from real production environments to help you understand how AI systems are built end-to-end, exactly like I do in my real projects!

🎥 YouTube Channel 💼 LinkedIn 📰 Newsletter 🌍 Website

A clear, practical roadmap based on real experience — the guide I wish I had when I started.

🎓 Learning Materials

• https://youtu.be/nrG1iRJW1rA
• https://datacamp.pxf.io/mOAO91
• https://datacamp.pxf.io/jekex0

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Your AI Engineering Phases

• 🌱 #1 Foundations: Learn Python and Git GitHub so you can build a solid technical base and write code with confidence.
• 🧠 #2 LLM Model Interaction: Master prompting and APIs like OpenAI and Hugging Face so you can talk to models, control them, and integrate them into your own code.
• 🧩 #3 Build and Run AI Systems: Learn LangChain, RAG, AI agents, MCP, and basic LLMOps so you can build complete AI systems that understand your data and run reliably.
• 💼 #4 Career: Build strong portfolio projects, upgrade your LinkedIn profile, and earn certifications so you can stand out in today’s competitive market.

Phases

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Each skill listed below is clickable — open it to access a full learning guide I created for you. including tool recommendations, must-learn concepts, and curated learning resources.

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AI Engineering Skills

Skills

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