🎓 Course : Generative AI for Data Scientists Specialization
📝 Description: Leap ahead in data science using generative AI. Build in-demand hands-on generative AI skills to supercharge your data science career in under 1 month
⌚ Duration : 1 month at 10 hours a week
⭐ Rating : 4.7 (325 reviews)
👨🏫 Instructor / Provider : Coursera, IBM
📅 Schedule : Flexible schedule Learn at your own pace
📌 Action : Click on ENROLL NOW to take the course
Curriculum Structure (3 Courses, ~1 Month at 10 hrs/week)
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Generative AI: Introduction and Applications (approx. 7 hrs)
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Distinguish generative vs. discriminative AI.
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Explore real-world use cases (text, code, images, audio, video).
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Learn about LLMs, GANs, VAEs and models like GPT, DALL‑E, Watsonx
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Generative AI: Prompt Engineering Basics (approx. 9 hrs)
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Study prompt engineering techniques—chain-of-thought, few-shot, tree-of-thought.
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Explore tools like IBM Watsonx Prompt Lab, Spellbook, Dust, and best practices
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Generative AI: Elevate Your Data Science Career (approx. 13 hrs)
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Apply generative AI for dataset creation, augmentation, model refinement, and visualizations.
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Implement real-world projects like building predictive models (e.g., used car pricing).
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Understand ethical issues, data storytelling, and model evaluation
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