Understanding LLM’s: December 12th & 13th, 2024
2 – Half Days (9:00 a.m to 12:00 p.m PST) ENDING IN :
D
H
M
S
-
Introduction to the Art & Science of Data Management
Duration: 1 Day Code: BDT36 Category:The Introduction to the Art & Science of Data Management course will expose you to the data practices that allow you to get the most value from your data. Good data management is necessary to find the delicate balance between data enablement and data security and privacy.
-
Google Cloud Certified Professional
Duration: 3 Days Code: BDT58 Category:Cloud computing is being adopted in Organizations small and big. Google Cloud has emerged as a strong option provided get Artificial Intelligence and Machine Learning offerings. This course is designed to get you exposed and experience those offerings with hands-on practice.
-
Introduction to No-SQL Databases
Duration: 1 Day Code: BDT57A Category:This course helps you understand and appreciate the evolution of data storage systems and growth of data. Then, it builds on that to describe the various types of non-relational databases that have emerged within the last decade. You get to match real-life usage patterns with No-SQL database types.
-
Distributed Architecture Design using No-SQL Databases
Duration: 3 Day Code: BDT57 Category:This course helps you understand and appreciate the evolution of data storage systems and growth of data. Then, it builds on that to describe the various types of non-relational databases that have emerged within the last decade.
-
Streaming Systems using Apache Kafka and Spark
Duration: 3 Days Code: BDT31 Category:Real-real data ingestion and analysis is becoming a vital need for enterprises to have a data lake to facilitate high velocity data needs. In this course, we would explore the Big data ecosystem and deep-dive into the real-time processing areas.
-
Fundamentals Of Big Data
Duration: 1 Day Code: BDT29 Category:The Introduction to Big Data course is the first stop in the Big Data curriculum series coming up at Stanford. It will help you get started with the background and introduction of the history of the Big Data.