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Technologies
Python
Keep up to date with the latest news, techniques, and resources for Python programming. Our code alongs are full of practical use cases you can use to upskill.
Other technologies:
Building Python Dashboards with ChatGPT
Adel Nehme, VP of Media at DataCamp, will walk you through how to build a Python report using ChatGPT.
Adel Nehme
3 de febrero de 2025
AI Python Zero-to-Hero: Build a Customer Feedback Analyzer
Francesca Donadoni, Curriculum Manager for Artificial Intelligence at DataCamp, guides you through building your own customer feedback analyzer.
Francesca Donadoni
17 de enero de 2025
AI Python Zero-to-Hero: Build an AI Movie Night Recommendation Tool
Pieter Moors, a Senior Data Scientist at DataCamp, shows you how to build an AI-powered movie night recommendation tool.
Pieter Moors
16 de enero de 2025
AI Python Zero-to-Hero: Build Your Own Fitness Tracker
Yashas Roy, a Senior Learning Solutions Architect at DataCamp, walks you through creating your own fitness tracker.
Yashas Roy
16 de enero de 2025
Introduction to Creating AI Agents in Python (Part 2: Hands on)
Richmond Alake, Staff Developer Advocate for AI and ML at MongoDB, teaches you how to put the concepts you learned in the first part of the two part series into practice.
Richmond Alake
26 de noviembre de 2024
Working with APIs in Python
Chris Ramakers, Developer Platform and Design System Engineering Manager at DataCamp, guides you through the process of building a simple bot using Python.
Chris Ramakers
26 de noviembre de 2024
Fine-Tuning Your Own Llama 3 Model
Maxime, one of the world's leading thinkers in generative AI research, shows you how to fine-tune the Llama 3 LLM using Python and the Hugging Face platform.
Maxime Labonne
30 de agosto de 2024
Building Trustworthy AI with Agents
Shingai Manjengwa, the Head of AI Education at Theoriq (ChainML Labs), will discuss the principles of responsible AI and demonstrate how they may be implemented in a world with multiple collaborating agents.
Shingai Manjengwa
27 de agosto de 2024
Machine Learning in Production with Python
Michelle Conway, Lead Data Scientist at Lloyds Banking Group, will walk you through a simple machine learning example on banking data, including feature engineering, training a model, making predictions, and assessing model performance.
Michelle Conway
5 de julio de 2024
Full Stack Data Engineering with Python
In this session, you'll see a full data workflow using some LIGO gravitational wave data (no physics knowledge required). You'll see how to work with HDF5 files, clean and analyze time series data, and visualize the results.
Blenda Guedes
18 de abril de 2024
Deep Learning on Rails with PyTorch Lightning
In this session, you'll learn how to create a simple deep learning model using PyTorch Lightning. You'll work through the steps of defining and training the model, making predictions, and evaluating model performance.
Luca Antiga
10 de abril de 2024
Managing Machine Learning Models with MLflow
Learn to use MLflow to track and package a machine learning model, and see the process for getting models into production.
Weston Bassler
6 de marzo de 2024