The focus of Red Hat OpenStack Administration I: Core Operations for Cloud Operators (CL110) will be managing OpenStack using both the web-based dashboard and the command-line interface, in addition to managing instances and installing a proof-of-concept environment using Red Hat OpenStack Platform (RHOSP) director. Essential skills covered in the course include configuring Red Hat OpenStack Platform (using the director UI); managing users, projects, flavors, roles, images, networking, and block storage; setting quotas; and configuring images at instantiation.
Attendees to CL-115 Red Hat OpenStack Administration I: Core Operations for Cloud Operators will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Prerequisites:
This course is designed for Linux system administrators, cloud administrators, and cloud operators interested in, or responsible for, maintaining a private or hybrid cloud.
Prerequisites for this course is Red Hat Certified System Administrator (RHCSA) or demonstrate equivalent experience
Course Outline:
Launch an instance
Manage projects, quotas, and users
Manage networks, subnets, routers, and floating IP adresses
Create and manage block and object storage in the OpenStack framework
Customize instances with cloud-init
Deploy scalable stacks
Deploy RedHat OpenStack Platform using RHOSP director
The Implementing Cisco Enterprise Advanced Routing and Services(ENARSI) gives you the knowledge you need to install, configure, operate, and troubleshoot an enterprise network. This course covers advanced routing and infrastructure technologies, expanding on the topics covered in the N-415: Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR).
Attendees to N-425 : Implementing Cisco Enterprise Advanced Routing and Services ( ENARSI) will receive TechNow approved course materials, expert instruction, and prepare you to take the 300-410 Implementing Cisco® Enterprise Advanced Routing and Services (ENARSI) exam.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
Configure classic Enhanced Interior Gateway Routing Protocol (EIGRP) and named EIGRP for IPv4 and IPv6
Optimize classic EIGRP and named EIGRP for IPv4 and IPv6
Troubleshoot classic EIGRP and named EIGRP for IPv4 and IPv6
Configure Open Shortest Path First (OSPF)v2 and OSPFv3 in IPv4 and IPv6 environments
Optimize OSPFv2 and OSPFv3 behavior
Troubleshoot OSPFv2 for IPv4 and OSPFv3 for IPv4 and IPv6
Implement route redistribution using filtering mechanisms
Troubleshoot redistribution
Implement path control using Policy-Based Routing (PBR) and IP Service Level Agreement (SLA)
Configure Multiprotocol-Border Gateway Protocol (MP-BGP) in IPv4 and IPv6 environments
Optimize MP-BGP in IPv4 and IPv6 environments
Troubleshoot MP-BGP for IPv4 and IPv6
Describe the features of Multiprotocol Label Switching (MPLS)
Describe the major architectural components of an MPLS VPN
Identify the routing and packet forwarding functionalities for MPLS VPNs
Explain how packets are forwarded in an MPLS VPN environment
Implement Cisco Internetwork Operating System (IOS®) Dynamic Multipoint VPNs (DMVPNs)
This concentration was developed in conjunction with the U.S. National Security Agency (NSA) providing an invaluable tool for any systems security engineering professional. CISSP®-ISSEP is the guide for incorporating security into projects, applications, business processes, and all information systems. Security professionals are hungry for workable methodologies and best practices that can be used to integrate security into all facets of business operations. The SSE model taught in the IATF portion of the course is a guiding light in the field of information security and the incorporation of security into all information systems.
Attendees to TN-812: Information Systems Secuirty Engineering Professional (ISSEP) will receive TechNow approved course materials and expert instruction.
CompTIA SecAI+ is the first certification in CompTIA’s expansion series, designed to help you secure, govern and responsibly integrate artificial intelligence into your cybersecurity operations. You’ll build the skills to defend AI systems, meet global compliance expectations and use AI to enhance threat detection, automation and innovation—so you can strengthen your expertise and help keep your organization’s systems and data secure.
SecAI+ helps you build practical AI security and automation skills on top of your existing expertise, so you can secure AI deployments, use AI‑assisted security tools with confidence, and stay ready for the next step in your cybersecurity career.
Course Objectives:
Apply AI concepts to strengthen your organization’s cybersecurity posture
Secure AI systems using advanced controls and protections to safeguard data, models, and infrastructure
Leverage AI technologies to automate workflows, accelerate incident response, and scale security operations
Navigate global GRC frameworks to ensure ethical and compliant AI adoption across industries
Defend against AI-driven threats like adversarial attacks, automated malware, and malicious use of generative AI
Integrate AI securely into DevSecOps pipelines and enterprise security strategies.
Dates/Locations:
No Events
Prerequisites: Recommended experience: 3–4 years in IT and 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended
SecAI+ (V1) exam objectives summary
Basic AI concepts related to cybersecurity (17%)
Explain core AI principles and terminology: Machine learning, deep learning, natural language processing, and automation.
Identify AI applications in security: Use cases for AI in threat detection, defense, and security operations.
Recognize AI-driven threats: Automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.
Securing AI systems (40%)
Implement security controls: Protect AI systems, data, and models using robust technical safeguards.
Secure AI deployment environments: Apply best practices across on-premises, cloud, and hybrid infrastructures.
Mitigate adversarial risks: Defend against attacks targeting AI models, data pipelines, and inference layers.
AI-assisted security (24%)
Enhance detection and response: Use AI-driven tools to identify anomalies, detect threats, and accelerate incident remediation.
Automate security workflows: Integrate AI for event triage, alert correlation, and response orchestration.
Apply AI techniques in operations: Incorporate AI into threat modeling, behavior analysis, and continuous monitoring.
AI governance, risk, and compliance (19%)
Understand regulatory frameworks: Identify global governance requirements and their implications for AI adoption.
Integrate GRC into AI projects: Incorporate governance, risk management, and compliance practices throughout the AI lifecycle.
Ensure responsible AI use: Apply ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.
