-
Selenium WebDriver with Python
Duration: Half Day Code: BDT375 Category:applications. Participants will learn to set up Selenium, navigate web pages, locate and interact with elements, and handle dynamic content.
-
Exploring Large Language Model’s with Python
Duration: Half day (3 Hrs) Code: BDT343 Category:Large Language Models (LLMs) have revolutionized natural language processing (NLP) by demonstrating remarkable capabilities in understanding, generating, and manipulating human language.
-
Kickstart Snowpark with Python
Duration: 1 Day Code: BDT300 Category:Snowpark is a new developer experience for Snowflake that allows developers to write code in their preferred language: Scala, Java or Python to supplement the original SQL interface.
-
Advanced Python – Concept and Hands on
Duration: 3 Days Code: BDT188 Category: Data EngineeringPython is an in-demand, accessible programming language with an active, ever-growing community of users.
-
Python – Basic to Intermediate
Duration: 3 Days Code: BDT187 Category: Data EngineeringPython is an in-demand, accessible programming language with an active, ever-growing community of users.
-
Summarize Your Data with Pivot Tables in Python
Duration: 6 hours (Two Sessions, 3-3-hours ) Code: BDT166 Category:In this class, you will have the opportunity to develop Python scripts to create pivot tables by leveraging the Pandas module.
-
Python for Beginners
Duration: 12 Hours (Four Sessions, Each 3-hours) Code: BDT165 Category:Learn how to code in Python, one of the most popular programming languages today. This class covers the fundamentals of developing scripts to automate routine work and scale large-load work.
-
Introduction to R Programming
Duration: 3 Days Code: BDT164 Category:In this hands-on course, the R programming language is taught with the objectives to collect, analyze, and visualize datasets from various sources, and apply practical statistical data analysis.
-
Analyzing Data With Python
Duration: 3 Day Code: BDT163 Category:This class will help you to leverage your Python skill and venture into the field of data-analytics.
-
Byte-Sized Deep Learning Series: Applied Deep Learning for Natural Language Understanding
Duration: 90-minute Code: BDT151 Category:This 90-minute session will explore the application of deep learning models known as transformers to solve common natural language understanding tasks.