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The rapid growth of artificial intelligence has revolutionized industries, creating new opportunities while also exposing a critical challenge: the widening skills gap. In the third installation of our LinkedIn poll series, we asked our followers how important they think upskilling and reskilling are for closing the AI skills gap.
If you're aiming to validate your skills in AI and Machine Learning (ML) on AWS, Skillsoft Global Knowledge has just launched two new instructor-led training (ILT) courses designed to help you pass your certification exams with confidence.
Cisco Live 2025 delivered a powerful vision for the future of enterprise networking, unveiling innovations that promise to transform how organizations manage, secure, and scale their digital infrastructure.
Artificial intelligence is reshaping industries at an incredible pace. From automating complex jobs to unveiling insights buried deep in data, it’s no surprise that organizations are pouring resources into AI solutions.
The Cisco Trusted Learning Partner Program is designed to facilitate the use of Cisco Learning Credits (CLCs) for authorized Cisco training through recognized Cisco Learning Partners. This program ensures that organizations can effectively build their teams' skills to succeed in their latest infrastructure implementations.
The job market has become more intense than ever, with rapid technological advancements constantly reshaping the skills required to thrive. To stay ahead of the curve, professionals need to prioritize two key strategies: mastering new skills and showcasing their expertise with confidence.
Effective service management is crucial for maintaining operational excellence and ensuring customer satisfaction – just ask Corey Donovan, Director of Service Operational Excellence at Indiana University’s Global Network Operations Center (GlobalNOC).
The new Machine Learning Engineering on AWS course is an exciting addition to the AWS training portfolio, designed to equip professionals with the skills needed to excel in the rapidly evolving field of machine learning (ML).