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Best AI and data science courses for workflow automation
To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.
I'm not a programmer, but I tried four vibe coding tools to see if I could build anything at all on my own. Here's what I did and did not accomplish.
Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
Django 6.0 has arrived, offering developers cutting-edge features like a built-in tasks framework, enhanced security with ...
The session highlights how InfluxDB 3 enables low-latency analytics and how MCP makes real-time data easier to explore. The talk will include a live demo where we will ask questions like “Is the ...
Flexxbotics, the autonomous manufacturing platform leader, announced the release of its software-defined automation as a free ...
This is a remote position. We are seeking a Snowflake Senior Developer to design, develop, and optimise data solutions on our cloud data platform. You will work closely with data engineers, analysts, ...
Rather than broad tech concepts, the focus is on practical tools and languages used by data professionals: Python for ...
GDU debuted the UAV-P300 at CES 2026, touting AI-driven fog penetration, a 50MP sensor, 4K night vision, thermal imaging, and ...
Tungsten Automation today announced the general availability of OmniPage Capture SDK 2025.3 for Linux, the latest release of its market-leading Optical Character Recognition (OCR) and ...
FMOkit is a command-line toolkit written in Python for both preprocessing and postprocessing of Fragment Molecular Orbital(FMO) calculations. Generates GAMESS input files for FMO calculations from the ...
Create a no-code AI researcher with two research modes and verifiable links, so you get quick answers and deeper findings ...
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