Beneath the AI we all know and love is the humble neural network. Here's what they are, how they're used and architected, and how they learn over time.

Angie Jones and Amber Israelsen uncover the AI skills to learn for tech careers, including prompt engineering, soft skills, and hands-on experience.

To get the most out of cloud storage, you need to approach your architecture strategically, not as a dumping ground for your data. Here's how to do that.

Employee training for tech skills gaps boosts ROI, as long as learning and development has leadership support, learning resources, and personalized training.

Your AI deployment strategy should consider the pros and cons of building vs. buying AI solutions. Consider cost control, AI innovation, and AI skills.

Learn why you would use REST, how it differs from other methods, and how to set up your own basic REST server application and test it.

Learn how to tailor your resume, ace tech job interviews, highlight transferable skills, earn certifications, and network effectively to land your dream tech job.

Learn skill development strategies to build training programs that boost technical skills and help IT consultants prioritize continuous learning.

Engineering KPIs are metrics that enable your team to measure and understand its performance. Here are 21 engineering KPIs to consider.

Learn how to use machine learning on Azure in preparation for the AI-900 certification. Don't let yourself be intimidated by the fundamentals of Microsoft Azure AI. In this course, Microsoft Azure AI ...

The world runs on REST, are you ready to hop on board? This course will teach you the fundamental skills you need to build an enterprise-grade REST API that serves a variety of clients performantly ...