CompTIA Cloud Essentials+ is for both IT and non-technical professionals who require the essential business acumen needed to make informed cloud service decisions. Cloud Essentials is a vendor-neutral credential designed to validate the candidate has an understanding of basic terms and definitions of cloud computing along with the different processes involved in the successful adoption of cloud computing and its implications for organizations’ use.
TechNow is a CompTIA partner and uses official CompTIA Cloud Essentials+ curriculum.
Attendees to CT-213: Cloud Essentials+ will receive TechNow approved course materials and expert instruction.
Domain 2: Business Principles of Cloud Environments
Identify and employ appropriate cloud assessments like feasibility studies, benchmarking, or gap analysis
Highlight key business aspects of cloud vendor relation adoption, and comprehend cloud migration approaches
Domain 3: Management and Technical Operations
Explain aspects of operating within the cloud, such as data management or optimization
Understand the role of DevOps in cloud environments, like API integration or provisioning
Domain 4: Governance, Risk, Compliance and Security for the Cloud
Understand risk management and response concepts related to cloud services and identify the importance and impacts of compliance in the cloud, such as regulatory concerns or international standards.
Course Prerequisites:
CompTIA recommends that a candidate have at least 6 months of experience in an IT environment, with direct involvement in IT-related tasks responsibilities and/or decision making.
This course engages students by providing in-depth knowledge of the most prominent and powerful attack vectors and an environment to perform these attacks in numerous hands-on scenarios. This course goes far beyond simple scanning for low-hanging fruit, and shows penetration testers how to model the abilities of an advanced attacker to find significant flaws in a target environment and demonstrate the business risk associated with these flaws.
Attendees to TN-919:Penetration Tester course will receive TechNow approved course materials and expert instruction.
TechNow has been training IT, programming, and Cyber Security for over 28 years. To stay competitive and to adequately secure an enterprise, organizations need to move towards the DevOps Model. DevOps breaks down barriers between the developer and operations teams to improve collaboration and communication.
DevOps is radically changing the way organizations design, build, deploy, and operate online systems. Development and Operations teams come together to move requirements through a continuous workflow.
DevOps leaders deploy hundreds of changes every day, utilizing Continuous Integration and Continuous Delivery to leave their competitors behind. As DevOps becomes commonplace, organizations need to evolve their security practices to the DevOps Model.
Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use
The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries
Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.
By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.
