📚 A Recap Before You Dive In So far, we've walked through what Generative AI is, covered essential NLP concepts, unlocked the power of transformers, explored hands-on projects, and even peeked into ethical and future-facing dimensions of the field. But your learning journey doesn’t end there. Let’s now finish strong by giving you a quick career path blueprint, sharing tools and resources that will keep your skills sharp, and wrapping up with some final thoughts and FAQs. 🎯 Course Path: Your Bootcamp Roadmap Step 1: Get Comfortable with Python Python is the backbone of most Gen AI tools. Start with: Basic syntax and data structures Libraries like NumPy, Pandas, and Matplotlib Step 2: Learn the Basics of Machine Learning Get familiar with: Supervised vs. Unsupervised learning Regression, Classification, and Clustering Using Scikit-learn and TensorFlow Step 3: Dive Deep into NLP Focus on: Preprocessing text data NLP libraries like NLTK and spaCy...
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