Pandeycoder/AI-Engineer-Roadmap-2025

AI Engineer Roadmap 2025 – Learn AI, ML, Deep Learning, MLOps, and Big Data with projects & resources.

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Emerging

This roadmap is for aspiring AI Engineers who want to build and deploy artificial intelligence and machine learning solutions. It provides a structured learning path, starting with Python fundamentals and progressing through statistics, databases, machine learning, deep learning, NLP, and MLOps. The outcome is a skilled professional capable of taking AI projects from concept to production, including deployment on cloud platforms.

No commits in the last 6 months.

Use this if you are an individual looking for a comprehensive, self-paced guide to become an AI Engineer, capable of developing and deploying real-world AI applications.

Not ideal if you are already an experienced AI professional or primarily interested in theoretical research without a focus on practical deployment.

AI-development machine-learning-engineering deep-learning-applications MLOps data-science-career
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 13 / 25

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33

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License

MIT

Last pushed

Feb 14, 2025

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