Understanding LLM’s: January 13th & 14th, 2025
2 – Half Days (9:00 a.m to 12:00 p.m PST) ENDING IN :
D
H
M
S
-
Apache Airflow For Machine Learning Operations
Duration: 3 Days Code: BDT291 Category:The Apache Airflow for Machine Learning Operations course is intended for machine learning engineers interested in leveraging Apache Airflow to generate training, validation, and test sets in a reproducible manner.
-
Mulesoft Fundamentals
Duration: 3 Days Code: BDT290 Category:Software integration is the most significant unresolved billion-dollar market in the world. The Anypoint Platform, empowered by the Mulesoft runtime, can easily create, develop, deploy, and monitor integrations.
-
SQL Basics
Duration: 6 Hours (Each Session 3 Hours, 2 Sessions) Code: BDT193 Category: Data EngineeringThe volume of data being generated is astonishing in its own right, what is truly mind-boggling is that we have only just started to make use of it all. It is estimated that only half of a percent of all data collected is ever analyzed.
-
Data Engineering on Google Cloud
Duration: 4 Days Code: BDT107 Category:Get hands-on experience with designing and building data processing systems on Google Cloud.
-
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.