JupyterLab Courses and Certifications

EuroPython Conference

Creating Your Own Extensions for JupyterLab

Learn to create custom JupyterLab extensions, enhancing functionality and integrating complex tasks. Explore the extension infrastructure and build a step-by-step app with styling and parameter options.

• YouTube
• 42 minutes
• On-Demand
• Free Video

CodeWithHarry

JupyterLab Tutorial - Installation, Features, and Usage

Comprehensive guide to JupyterLab installation, features, and usage. Learn to leverage this powerful web-based interface for interactive computing and data analysis.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Machine Learning for Absolute Beginners - Level 2

2212 ratings at Udemy

Learn the Python Fundamentals and Pandas Library for Data Science Projects

• Udemy
• 4 hours
• On-Demand
• Paid Course

Python for Data Analysis

757 ratings at Udemy

Master Python tools like JupyterLab, Numpy, and Pandas for efficient data wrangling and analysis. Create impactful visualizations using Matplotlib and Seaborn to effectively communicate insights from your data.

• Udemy
• 1 hour 10 minutes
• On-Demand
• Free Online Course

Data Analysis with the FraudFinder Workshop

FraudFinder is a series of JupyterLabs that show how to implement an end-to-end Data to AI architecture works on Google Cloud, through a toy use case of real-time fraud detection system.

• Google Cloud Skills Boost
• 1-2 hours
• On-Demand
• Paid Course

Building ML Pipelines in JupyterLab Using Elyra - Without Writing Code

Learn to create ML pipelines visually in JupyterLab with Elyra, exploring pipeline properties, components, runtime environments, and remote execution options.

• YouTube
• 42 minutes
• On-Demand
• Free Video

PyCon US

Functional Python

Explore functional programming concepts in Python, including higher-order functions, immutability, and lazy evaluation. Learn to write cleaner, more efficient code using functional paradigms.

• YouTube
• 2 hours 28 minutes
• On-Demand
• Conference Talk

PyCon US

Migration from Python 2 to 3

Learn strategies for migrating Python 2 code to Python 3, focusing on writing single-source programs compatible with both versions using python-future. Gain practical skills for a smooth transition.

• YouTube
• 2 hours 38 minutes
• On-Demand
• Conference Talk

James Briggs

NVIDIA AI Workbench for AI Engineers - Tutorial and Overview

Explore NVIDIA AI Workbench, a toolkit for GPU-enabled AI development. Learn to set up projects, deploy to remote GPUs, and streamline your workflow for efficient AI engineering and data science tasks.

• YouTube
• 22 minutes
• On-Demand
• Free Video

MLOps World: Machine Learning in Production

Training Models on the Cloud without Changing Code - GRID.AI

Discover how to effortlessly train models on the cloud, automate engineering tasks, and focus on machine learning with Grid AI's innovative approach to research workflows.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Software Engineering Courses - SE Courses

LivePortrait Cloud Tutorial - No-GPU Image Animation on RunPod, MassedCompute, and Kaggle

Step-by-step guide to using LivePortrait on cloud platforms for animating static images. Learn installation, setup, and operation on MassedCompute, RunPod, and Kaggle, with tips for efficient use and troubleshooting.

• YouTube
• 27 minutes
• On-Demand
• Free Video

米国データサイエンティストがやさしく教えるデータサイエンスのためのPython講座

1381 ratings at Udemy

データサイエンスのプロが現場目線で徹底的にわかりやすく教えます．ここでしか学べない実践的な内容です．

• Udemy
• 23 hours
• On-Demand
• Paid Course

米国データサイエンティストが教える統計学超入門講座【Pythonで実践】

838 ratings at Udemy

米国で現役で働くデータサイエンティストがゼロから優しく教えます．学習した統計学の理論をPythonで実装するので即実務に適用可能です

• Udemy
• 16 hours
• On-Demand
• Paid Course

How to Create and Publish Guided Projects and Hands-on Labs

Learn to create engaging hands-on labs and guided projects using IBM Skills Network tools. Develop practical skills in designing interactive content and integrating labs into courses for effective online learning.

• Cognitive Class
• Finished
• Free Online Course

Nettoyer vos données avec Python

Learn to clean and explore food product data using Python, JupyterLab, and libraries like Pandas, Matplotlib, SeaBorn, and missigno in this Coursera Project Network course.

• Coursera
• 1 hour 55 minutes
• Finished
• Paid Course