Roadmap for a DevOps Engineer Transitioning to AI Engineer
3 min readApr 17, 2023
- Gain Understanding of AI Fundamentals: As a DevOps engineer, you may already have a solid foundation in software development and operations. However, to transition to AI, you’ll need to familiarize yourself with the fundamentals of artificial intelligence. This includes understanding concepts such as machine learning, deep learning, neural networks, and natural language processing. You can start by taking online courses or reading books and articles on AI.
- Acquire Programming Skills for AI: Programming is a critical skill for working in AI. Familiarize yourself with programming languages commonly used in AI, such as Python, R, or Java. Learn how to use popular AI libraries and frameworks like TensorFlow, Keras, and PyTorch. Practice coding AI algorithms and models to gain hands-on experience.
- Learn Data Science and Data Engineering: AI is heavily dependent on data. As a DevOps engineer transitioning to AI, it’s important to understand data science concepts such as data preprocessing, feature engineering, and data visualization. You should also learn data engineering skills, including data collection, storage, and processing using technologies like Hadoop, Spark, and SQL.
- Explore Machine Learning Techniques: Familiarize yourself with different machine learning techniques, such as supervised…
