This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals. Build the skills you need for an entry-level IT job as you prepare for the A+ exam with the Google IT Support Professional Certificate. Google has teamed up with CompTIA to offer a dual badge of completion—perfect for your resume or LinkedIn profile—for those who complete the Professional Certificate and pass the A+ exam. The course aims to provide a starting point for people who want to learn about GA4 but have little or no experience.
Evidence that you’ve taken the initiative to explore an emerging technology is definitely something an employer will find desirable. “Elements of AI” is a broader course with 6 chapters, focusing on topics such as “neural networks”, “machine learning” and “AI problem solving”. In the course, you’ll learn about the “historical, social, political and economic issues in AI”, explore the benefits and limitations of the technology, and discuss ethical risks relating to AI. This course teaches participants how to build deep-learning applications with TensorFlow, one of the most popular open-source Python software libraries. The time commitment of between hours a week – but it’s completely free to enroll and you’ll be supported as you complete projects and attend lectures. However, you need to have taken Harvard’s “Introduction to Computer Science” course first to enroll.
Cybersecurity and the X-Factor
An IT certification on your resume can also be a quick way for hiring managers to gauge your abilities. IT professionals who received a raise due to getting a new certification saw an average salary increase of $13,000 [1]. Whether you’re just starting out or are established in your career, IT certifications have their benefits.
It’s geared toward beginners and you don’t need prior experience to enroll, and the schedule is flexible so you can learn at your own pace. Along with AI fundamentals, the course will also ensure you’re familiar with IBM’s own AI services, which help businesses integrate artificial intelligence into their existing infrastructure. Companies like Microsoft and LinkedIn offer many free tech courses, some certified, some giving a certificate for completion. Microsoft reports that 42 million people have accessed free training through a Microsoft and LinkedIn global skills initiative to help unemployed workers after the pandemic [1]. IT is one of our most popular categories, with in-depth courses and tutorials across all aspects of information technology. Sign up today to learn about cryptocurrency, blockchain, computer networking and server management.
IBM Data Engineering
This free course is available on Alison.com, and is published by a digital marketing firm called Digital Partner. The course is CPD accredited and a certificate will be awarded upon completion of a small assessment at the end of the 1.5-3 hour program. Linkedin’s AI Career Essentials Course is made up of five different videos, with a total run time of around four hours. Each video is hosted by a different AI expert, covering a range of core concepts and ethical considerations relating to AI models. With businesses finding new, inventive ways to use AI almost every day, it’s no surprise that AI training courses are becoming increasingly sought after.
We are available, at your location, for computer lessons and basic Excel & Powerpoint classes 5 days a week (Monday thru Friday). Proudly serving the Long Island area in Nassau, Suffolk & Queens Counties. To get the most out of this training, users are encouraged to actively engage with the course material and apply the lessons to their own business https://deveducation.com/en/events/about-the-recent-mvp-hackathon/ contexts. Key takeaways from this course include understanding how data is collected and processed, setting up an Analytics account, and using dimensions and metrics to enhance reports. The course’s final section introduces the concepts of dimensions and metrics, explaining how these elements help aggregate and visually represent data in reports.