Artificial intelligence (AI) is a rapidly growing field with immense potential. This guide provides a step-by-step approach for beginners looking to start their journey as an AI developer. It emphasizes the importance of understanding machine learning, AI fundamentals, and the role of mathematics in AI. Python is highlighted as a key programming language for AI, along with the need to learn data analysis and explore various frameworks like PyTorch and TensorFlow. The guide also covers the different categories of machine learning, the importance of practice with real datasets, and the exploration of deep learning and generative AI. By following a structured learning path that includes mastering Python, mathematics, data analysis, machine learning models, and deep learning concepts, aspiring AI engineers can build a strong foundation for creating powerful AI applications. The guide concludes by encouraging readers to seek further resources and tutorials to enhance their AI knowledge.
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Guide to becoming AI engineer in 2024 with #AIEngineering
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