Get started with Large Language Model (LLM) foundations and tokenization. Learn how tokenization is a critical step in NLP and machine learning, and explore techniques for breaking down text data into meaningful components for model training.

Data warehouse in Microsoft Fabric is a comprehensive platform for data and analytics, featuring advanced query processing and full transactional T-SQL capabilities for easy data management and analysis.

In this course, you will learn how to use Data Manager to extract, transform and load data into Qlik Sense for analysis. By the end of the course, you will be able to execute self-service analytics without being dependent on a BI or IT developer.

Manual log analysis can become a time consuming task. This course will teach you how to automate log file analysis with Python.

A first introduction to data science and machine learning. Use Python to acquire, clean, and analyze data using powerful machine leanring models and popular data science libraries.

From zero to Python, with a focus on preparing you for data science and machine learning.

This course will explore the conceptual aspects of applying machine learning to problems in the financial services industry and discuss case studies of machine learning used in financial services.

This course will explore the conceptual aspects of applying machine learning to problems in the healthcare industry, discuss case studies of machine learning used in healthcare, and explore practical implementations of techniques on real-world data from that industry.

This course will explore the conceptual aspects of applying machine learning to problems in marketing, discuss case studies of machine learning used in the marketing sector, and explore practical implementations of techniques on real-world data from that industry.

This course will explore the conceptual aspects of applying machine learning to problems in the retail industry, discuss case studies of machine learning used by retailers, and explore practical implementations of techniques on real-world data.

This course is a hands-on intro to machine learning concepts anbd showcases the use of Python and its key ML libraries in practical coding examples.

This course will take the learner through the creation of an end-to-end automated pipeline built by Watson Studio’s AutoAI experiment tool, explaining the underlying technology at work.