Linux System Administration II course is for experienced administrators ready for advanced administration topics. This course provides students with hands-on experience working with more complex and integrated administration concepts, and builds upon the Part 1 course. Students will be instructed in essential local Red Hat system administration skills including: Logical Volumes, Raid Management, and System Logging, SELinux and Virtual Machines. The Linux System Administration II course will get you started in understanding network administration topics, including monitoring, routing, Firewall with iptables, and servers such as NFS, SAMBA, DNS, SMTP, HTTP, DHCP, and Kickstart.
Attendees to RH-295: Linux System Administration II will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 days
Course Objectives:
Managing Logical Volumes and RAID
Network Routing, Filtering and Monitoring
Configuring File Sharing Across Platforms
Configuring Internet Services
Configuring Security
Configuring System Messaging
Using Name Services
Configuring Name Service Clients
Configuring Kickstart
Virtualization with KVM
Troubleshooting Boot Process
Prerequisites:
RH-245: Linux System Administration I or equivalent knowledge plus six months experience as a system administrator or one year or more administrating the Red Hat operating system.
Learn to protect yourself and your company against hackers, by learning their tools and techniques, and then testing your network. This course is heavily based on Kali and primarily on Metasploit. In TN-515: Implementing Cybersecurity and Information Assurance Methodologies class you will learn the step by step process that hackers use to assess your enterprise network, probe it & hack into it, utilizing a mixed-platform target environment including Windows, Linux, Solaris, and Cisco. This course is 90% hacking, but defenses for demonstrated hacks will be discussed. If you want to know the ins and outs of the hacks presented in this course, then this is the course for you.
Attendees to TN-515: Implementing Cybersecurity and Information Assurance Methodologies Class Attendees will receive TechNow approved course materials and expert instruction.
TechNow has been involved in enterprise client server architectures since 1990. TechNow has delivered national and international implementations for Valero, Wholefoods, Quest, USAA, Golfsmith, AMD, Motorola, and many other fortune 1000 corporations,
TechNow's training program has followed the evolution of enterprise computing into virtualization and cloud computing. With a focus on security, TechNow can present the ramifications of many centralized strategies. All courses utilize enterprise instructors with experience and can discuss the detail of implementation and the integration into an existing infrastructure.
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.