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.
Working with the TechNow lab for the PA-215: Palo Alto Networks Firewall Essentials FastTrack course has been nothing less than a techie's idea of fun. When students come in we are immediatly configuring the Cisco 3750 switches for access ports, VLANS, and trunks. We then cable the switch to the Palo Alto Networks Firewall. Each student gets their own Palo Alto Firewall Pod of hardware and software. What we find as fun is the VLAN environment, with an array of virtual machines hosted on an ESXi server that can really exercise the abilities of the Palo Alto Firewall. The DMZ VLAN hosts virtual machines that support enterprise services and also potentialy vulnerable web services. The Trust VLAN has Windows and Linux clients. The UnTrust VLAN has Web services and a VM of Kali. The hardware Firewall is additionally connected to a Management VLAN. All those VLANs are trunked into an ESXi server where the student also has a VM-Series Palo Alto Networks Firewall for High Availability.
After configuring all the trunking, VLANs, and network interfaces we learn about the firewall and configure it for the lab environment. Using Metasploitable and Kali/Metasploit nefarious penetration attempts are executed. Using packet captures, custom APP-ID's and custom signatures are generated. Custom logging and reporting are created to similate and enterprise and assist the desired Incident Response. It is always fun in a training environment to learn all about the controls available in a product, even though specific controls may not be used in the operational environment. In the end we have a good understanding of the Palo Alto Networks Firewall.
In this course, students learn the IPv6 protocols & processes & describe how IPv6 is supported in the latest versions of Microsoft Windows operating system. Students will also learn how to describe transition technologies that allow you to deploy IPv6 in IPv4 intranets & across the IPv4 Internet.
Attendees to TN-395: Internet Protocol Version 6 (IPv6) will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
Learn how to create IPv6 networks with Cisco Systems products
Supplement your IPv6 course with a self-study guide based on the course materials
Understand practical applications of IPv6 through a solutions-oriented writing approach
Increase comprehension & retention through chapter tools like objectives, summaries, scenarios & review questions
Features & benefits of IPv6
IPv6 in the Windows Server2003 Family
IPv6 addressing & the IPv6 header
Internet Control Message Protocol for IPv6 (ICMPv6)
Neighbor & multicast listener discovery
Address auto configuration
IPv6 name resolution & routing
Coexistence & migration
IPv6 mobility
Prerequisites:
Students should have a working knowledge of a Windows OR Unix Operating system.
In addition, the student should also have basic end-user skills in TCP/IP.
Gain the knowledge and skills needed to implement security controls, maintain the security posture, and identify and remediate vulnerabilities by using a variety of security tools. The course covers scripting and automation, virtualization, and cloud N-tier architecture.
After completing this course, students will be able to describe specialized data classifications on Azure, Identify Azure data protection mechanisms, Implement Azure data encryption methods, Secure internet protocols and how to implement them on Azure, Describe Azure security services and features.
TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.
Attendees to AZ-500: Microsoft Azure Security Technologies will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Course Duration: 5 days
Course Outline:
Identity and access
Configure Azure Active Directory for Azure workloads and subscriptions
Configure Azure AD Privileged Identity Management
Configure security for an Azure subscription
Platform Protection
Understand cloud security
Build a network
Secure network
Implement host security
Implement platform security
Implement subscription security
Security Operations
Configure security services
Configure security policies by using Azure Security Center
Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.
The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.
Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value
By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.
Course Objectives:
•MLOps Principles: Model life cycle management for scalable, production-ready AI •Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives •AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization •AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions •Change Management: Workforce enablement and stakeholder alignment •KPI Development: AI metrics, success indicators, and executive dashboards •AI Governance: Risk, ethics, compliance, and responsible AI principles •Vendor Evaluation: AI platform and tool selection aligned with enterprise needs
Dates/Locations:
No Events
Prerequisites:Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed.
