A+
CompTIA A+ certification is an internationally recognized, vendor-neutral certification that many employers consider a prerequisite for entry-level IT employment. A+ certification signifies that the individual is capable of performing tasks such as installation, configuration and troubleshooting of common PC systems.
A+
CompTIA A+ certification is an internationally recognized, vendor-neutral certification that many employers consider a prerequisite for entry-level IT employment. A+ certification signifies that the individual is capable of performing tasks such as installation, configuration and troubleshooting of common PC systems.
Linux+
CompTIA Linux+ certification provides a foundation for individuals to work and maintain Linux installations. Linux+ certification is valuable for those new to or currently working within the Linux operation system.
Network
This course is intended for entry-level computer support professionals with a basic knowledge of computer hardware, software and operating systems who wish to prepare for the CompTIA Network+ Exam. It is also suitable for those who wish to increase their knowledge and understanding of networking concepts and acquire the required skills to prepare for a career in network support or administration.
Security+
CompTIA Security+ training provides an excellent introduction to the security field and is typically a better entry point than jumping right into an advanced security program. With Security+, you’ll build a solid foundation of knowledge that you can build upon—helping you advance your career in the months and years to come.
AI
In this course, you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, and understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.
AI/ML
This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. These concepts are exercised in supervised learning and reinforcement learning, with applications to images and to temporal sequences.
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