Yazide Salhi

As a Software Engineer working with cutting-edge technologies like Python, FastAPI, and Docker, my teaching philosophy is built on 'Learning by Doing.' I believe that Computer Science and Artificial Intelligence should not be taught as dry, academic subjects, but as powerful tools to solve real-world problems and boost productivity.

What to expect in my lessons:

Practical AI Integration: I don't just teach you what AI is; I teach you how to use it. We will explore Prompt Engineering, using AI agents to automate repetitive tasks, and how to integrate AI tools into your daily professional or academic workflow to save hours of work.

Computer Science Simplified: I break down complex concepts—like how software architecture works or the logic behind programming—into simple, digestible steps. We will focus on building a strong foundation that allows you to adapt to any new technology.

Customized Learning Path: Every student is unique. Whether you are a university student struggling with coding logic or a professional looking to leverage AI for business efficiency, I tailor each session to your specific goals and pace.

Modern Tools & Dynamics: Our sessions will be interactive. I use live coding demonstrations, screen sharing, and AI-driven exercises to ensure you stay engaged. You won't just listen; you will build, test, and create.

My goal is to empower you with the digital literacy needed for the 2026 job market. I am passionate about mentoring and helping others bridge the gap between theoretical knowledge and practical application.