Hi everyone!
My name is Amr, and I am a 17-year-old high school student from Egypt. Even though I’m busy with my final school exams, I am very passionate about Artificial Intelligence.
I am currently taking Andrew Ng’s Machine Learning course to build a strong foundation. My dream is to become an MLOps Engineer, so I am following a learning path that includes Python, Docker, and CI/CD.
I’m excited to be here, learn from this amazing community, and share my progress with you all.
Nice to meet you!
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Hi @3MR_Mlops welcome to this community!
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"Hi Carlos, I’d love to get your advice on my roadmap. I’m highly dedicated; I’ve already completed two courses in the past 7 days with hands-on practice.
My goal is to become an MLOps Engineer, and here is my current progress and plan:
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Skills Gained: Python (OOP), NumPy/Pandas, SQL, Linux, and Git/GitHub.
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Current: Finishing the Machine Learning Specialization.
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Developing: I’ve already finished 50% of the FastAPI curriculum for model deployment.
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Next: Deep Learning Specialization.
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Advanced MLOps: I plan to take Andrew Ng’s MLOps Specialization to master Docker, CI/CD, MLflow, and Monitoring.
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Cloud & Scaling: I will then focus on Cloud (AWS/Azure) and Kubernetes (K8s).
Given my age (17) and this fast pace, do you have any tips on how to balance these advanced tools with the Deep Learning theory? Also, is there anything missing in this stack to be industry-ready?"
You roadmap is really nice. The DLS is an awesome course where you will learn very interesting things. One thing that I can point you is take deep attention with the practical labs where you will learn a lot. After you finish the courses, you can take a look the short courses, where you can have an idea about the content and then decide if you want go deeper. In short, here you will find a lot of resources to reach your goals and the community is really nice.
Keep learning!