Enroll Course: https://www.coursera.org/learn/intro-generative-ai-course-snowflake
In the rapidly evolving landscape of artificial intelligence, Generative AI (GenAI) stands out as a transformative technology. If you’re looking to understand and implement GenAI solutions, the Coursera course ‘Introduction to Generative AI with Snowflake’ is an excellent starting point. This course provides a comprehensive yet accessible introduction to GenAI concepts and demonstrates how to leverage Snowflake’s powerful platform to bring these concepts to life.
The course begins by laying a solid foundation, introducing key GenAI concepts and guiding you through the essential setup of your learning environment. A significant portion of the initial module is dedicated to building a practical AI application. This hands-on experience involves loading data from an AWS S3 bucket into Snowflake, utilizing foundation models to summarize call transcripts into JSON format, and creating a user-friendly Streamlit UI to interact with the application. This practical approach ensures you’re not just learning theory, but actively applying it.
Following the introductory module, the course delves into Snowflake Cortex’s LLM-based functions. Here, you’ll discover how to implement a wide array of common AI tasks. This includes using task-specific functions for summarization, translation, sentiment analysis, and text classification. Furthermore, you’ll learn to harness the power of popular LLMs like Llama, Mistral, and Anthropic through prompt engineering with the Cortex COMPLETE function. The course also offers crucial guidance on selecting the right LLM for your specific needs, understanding the trade-offs between larger and smaller models, and utilizing Cortex Helper functions to estimate token counts and costs. A particularly valuable feature is the ability to test LLM calls for potential errors without incurring inference costs, saving time and resources.
The final module focuses on customizing LLM responses through Cortex Fine-Tuning. This section is vital for anyone looking to optimize AI model performance for specific use cases. You’ll explore how to distill the capabilities of large models into smaller, more efficient ones. The course highlights the benefits of Parameter Efficient Fine-Tuning (PEFT) in reducing data requirements and costs. You’ll learn to generate and split training data, fine-tune a foundation model like Mistral-7b to adopt a specific response style using the Cortex FINETUNE function and the no-code Snowflake AI/ML Studio. The ability to test your fine-tuned model with the Cortex COMPLETE function and build/share a Python application using Streamlit for your customized model provides a complete end-to-end learning experience.
Overall, ‘Introduction to Generative AI with Snowflake’ is a highly recommended course for anyone seeking to upskill in AI. Whether you’re a developer, data analyst, or business professional, this course equips you with the practical knowledge and hands-on experience needed to implement cutting-edge GenAI solutions using Snowflake.
Enroll Course: https://www.coursera.org/learn/intro-generative-ai-course-snowflake