Did you know Generative AI can enhance data accuracy and operational efficiency in data science? This Short Course was created to help data scientists and AI enthusiasts unlock the full potential of Generative AI in their data-driven projects. Within this 3-hour-long commitment, you will learn how to explore and leverage GenAI applications, identify key use cases like data augmentation and anomaly detection, and analyze crucial data security and privacy issues. By completing this course, you'll be able to apply advanced AI techniques to real-world data challenges, ensuring your projects are both innovative and ethically sound. Blending cutting-edge AI technology with practical, industry-specific applications makes this course unique. To be successful in this project, you will need a solid foundation in Python, basic machine learning principles and an understanding of fundamental data science concepts.
Why Fine-Tuning Open-Source LLMs Is Costly and Hard
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Skills You'll Learn
Prompt Engineering, Marketing, Generative AI, Data Ethics, Feature Engineering, Anomaly Detection, Operational Efficiency, Advertising, Large Language Modeling, Application Deployment, Artificial Intelligence, Data Synthesis, Information Privacy
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From the lesson
Lesson 2: Running and deploying an LLM locally for Data Science:
Taught By
Microsoft