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Learning paths

Intro to MLOps with MLflow

Learn the basics of machine learning operations (MLOps) using MLflow.

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Data Processing with Python

Master using Python for data munging, processing, visualization, exploratory analysis and working with time series data.

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Python for Data Analysis

Enable your team to become data pros by mastering the most cutting-edge tool for data analysis.

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Apache Spark and Data Stream Processing: A Crash Course

Build your first stream processing application using Spark and Structured Streaming.

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Classic Machine Learning with Python

Master the most popular machine learning algorithms and methods available in Python's ecosystem.

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Intermediate Programming with Python

Take your Python skills to the next level in this in-depth course.

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Writing Production-Level Python

Take your team's Python skills to the next level and start creating low-maintenance, resilient production systems.

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Introduction to Python for Engineers

Do you already write code in another language and don't want to sit through the ABCs of an Intro to Python class for beginners? This course is for you!

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Introduction to Natural Language Processing (NLP) using Python

An intermediate Python course introducing Natural Language Processing (NLP) and computational linguistics combining theory, in-class practice, additional reading materials, and a final project for the basics of NLP, Machine Learning, and Deep Learning.

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Introduction to Deep Learning

Learn the basics of deep learning using two of the most popular Python libraries: Keras and PyTorch

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Deep Learning for Computer Vision

Explore the field of computer vision using deep learning in this comprehensive course. We cover key areas including image classification, object detection, segmentation, image synthesis, and video analysis. We start with the basics and work our way up to advanced topics such as popular neural network architectures and how to develop your own.

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Understanding and Deploying Edge AI

Unlock the future of intelligent technology with our introductory course on Understanding and Deploying Edge AI Applications. This course explores the cutting-edge world of AI at the edge, where data processing happens directly on devices for faster, smarter, and more secure solutions. You’ll learn the fundamentals of edge computing, AI model optimization, and real-world deployment strategies.

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