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Virtual Training

Our Online IT Training delivery is real time instructor led. These Online IT Training courses utilize cloud based lab setups, hence eliminating the need for the students to do their own setup or to have a high-end computer on their end. In this environment, our expert training instructors will be able to convey information and provide you with the all the knowledge you require to learn. This method of training allows us to extend our training scope to those who may not be able to attend a classroom course itself, but would like to receive direct training and support from an instructor. You get the benefits of a classroom course, without the need to travel! You can even train from the comfort of your own home!

All virtual training courses come with technical and administrative support.

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Onsite Training

With Web Age Solutions, our Onsite training option allows you to select any of our courses and receive training at a venue of your choice.

Onsite courses deliver training to multiple employees at once, thus reducing travel expenses and providing you with the most convenience and value for money! You can maximize your training budget and reduce the costs of employees taking time away from the workplace to train.

With our many years of experience, Web Age Solutions is the market-leader of Onsite training!

Contact Us to Book an Onsite Training Class

Classroom Training

At Web Age Solutions, our classroom-based training courses allow students to learn and participate in an interactive and friendly environment. We make sure we provide the very best level of teaching, with first-rate instructors and learning materials. We provide courses of varying durations to meet your requirements.

With Web Age classroom training you get in person guidance and support from our experienced trainers throughout the course. You will take part in valuable labs and activities in the classroom to increase your learning potential. We make sure you will receive an all-encompassing and outstanding learning experience!

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June 2017 – The Spark Machine Learning Library, Parallel Data Processing with Spark, Getting Started with R.

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