LLMs Meet Google Cloud: A New Frontier in Big Data Analytics


Dive into the world of cloud computing and big data analytics with Google Cloud's advanced tools and big data capabilities. Designed for industry professionals eager to master cloud-based big data tools, this workshop offers hands-on experience with various big data analytics tools, such as Dataproc, BigQuery, Cloud Storage, and Compute Engine. We will also dive into the new LLM capabilities of Google Cloud. Explore how these innovative AI models can extract deeper insights, generate creative text, and automate large-scale tasks, taking your big data analysis to the next level. Ideal for those new to cloud computing, the workshop includes lab offerings that provide practical experience in utilizing Google Cloud services. Participants must bring a laptop to access content and partake in hands-on labs. Upon completion, attendees will have a comprehensive understanding of fundamental cloud computing concepts, key Google Cloud services, and widely used big data tools such as Spark.

- Getting set up with GCP
- Overview of educational resources
- Hands-on labs
- Cloud Compute and storage
- BigQuery for data access and pre-processing
- BigQuery for ML and LLM capabilities
- Dataproc for distributed computing with Apache Spark
- Conclusion

Background Knowledge:

Basic SQL knowledge. Prior Python & pandas experience.


Mohammad Soltanieh-ha is a Clinical Assistant Professor in the Information Systems department at Boston University's Questrom School of Business. He specializes in data science programming, big data analytics, and business applications. He earned his Ph.D. in computational physics from Northeastern University and currently focuses his research on computer vision applications in cancer diagnosis, macroeconomic forecasting, and high-performance computing. Mohammad holds leadership roles at Google and the American Physical Society (APS). He founded APS's data science unit in 2019 and serves as a Faculty Expert at Google Cloud, where he supports cloud computing education and best practices for fellow faculty members.

Open Data Science




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Cambridge, MA 02142

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