Python

Laurie Voss, VP of Developer Relations at LlamaIndex, guides you through building a deep research AI multi-agent using LlamaIndex.

Jon Bennion, Manager of Applied Machine Learning at The Objective AI, guides you through building a news fact-checker AI agent from scratch.

Paul-Emil Iusztin, Founder of Decoding ML, walks you through the process of building a Second Brain AI assistant from scratch.

Adam Schroeder, a Community Manager at Plotly, guides you through the process of building data apps with Plotly and Dash.

Adel Nehme, VP of Media at DataCamp, will walk you through how to build a Python report using ChatGPT.

Francesca Donadoni, Curriculum Manager for Artificial Intelligence at DataCamp, guides you through building your own customer feedback analyzer.

Pieter Moors, a Senior Data Scientist at DataCamp, shows you how to build an AI-powered movie night recommendation tool.

Yashas Roy, a Senior Learning Solutions Architect at DataCamp, walks you through creating your own fitness tracker.

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.

Chris Ramakers, Developer Platform and Design System Engineering Manager at DataCamp, guides you through the process of building a simple bot using Python.

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.

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.