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.


Rohan Johar, an AI specialist in Google Cloud’s customer engineering organization, advises enterprises in Boston on digital transformation strategy. Over his career, Rohan has had the opportunity to specialize on projects that span the entire data ecosystem, ranging from data warehousing to generative AI. Prior to Google, he worked as a cloud engineer at Oracle and as an engineering applications intern at Tesla. Additionally, Rohan holds a bachelor’s degree in computer science from Boston University, a graduate certificate in innovation/entrepreneurship from the Harvard Extension School, and eight cloud certifications.

Open Data Science




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