CT-215: Cloud+

Course Overview:

This course covers the knowledge and skills required to understand standard Cloud terminologies/methodologies, to implement, maintain, and deliver cloud technologies and infrastructures (e.g. server, network, storage, and virtualization technologies), and to understand aspects of IT security and use of industry best practices related to cloud implementations and the application of virtualization.

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.

TechNow is a CompTIA partner and uses official CompTIA Cloud+ curriculum.

Attendees to CT-215: Cloud+ will receive TechNow approved course materials and expert instruction.

Date/Locations:

Date/Time	Event
10/19/2026 - 10/23/2026 08:00 -16:00	CT-215: Cloud+ TechNow, Inc, San Antonio TX

Course Duration: 5 days

Course Objectives:

Prepare to deploy cloud solutions
Deploy a pilot project
Test a pilot project deployment
Design a secure network for cloud deployment
Determine CPU and memory sizing for cloud deployments
Plan Identity and Access Management for cloud deployments
Analyze workload characteristics to ensure successful migration to the cloud
Secure systems to meet access requirements
Maintain cloud systems
Implement backup, restore, and business continuity measures
Analyze cloud systems for required performance
Analyze cloud systems for anomalies and growth forecasting
Troubleshoot deployment, capacity, automation, and orchestration issues
Troubleshoot connectivity issues
Troubleshoot security issues

Course Prerequisites:

Security+, Network+, CASP or equivalent experience
Managing or administering at least one of UNIX, Windows, Databases, networking, or security

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TN-412: Artificial Intelligence Essentials (AI|E)

Course Description:

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.

Course Outline:

01. Introduction to Artificial Intelligence

02. Everyday AI Tools and Use Cases

03. Building Blocks of AI

04. Prompt Crafting AI-Driven Interactions

05. AI Ethics and Responsible AI

Dates/Locations:

No Events

Palo Alto Networks Firewall Training Course Lab

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.

CT-415: CompTIA SecAI+

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.

TN-5202: Microsoft SharePoint 2010 and 2013: Workflows and Designing InfoPath Forms

Course Overview:

SharePoint is the Premier Office Collaboration Server Suite. Two of the most requested features to implement in any SharePoint Server environment is building custom workflows and incorporating InfoPath forms into the site. This course aims to build the average user’s body of knowledge and skill set to allow them to take on some of this responsibility. Students will learn the SharePoint Designer software, a free product, to do these tasks.

Over the course of the two days the users will work on a live SharePoint Server environments making changes to pages, adding pages and making Workflows. They will learn how to build InfoPath forms and migrate them to the SharePoint environment.

Attendees to TN-5202: Microsoft SharePoint 2010/2013: Workflows and Designing InfoPath Forms will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 2 days

Course Objectives:

Identify the basic features of the SharePoint Designer environment.
Create a new subsite.
Add content to a web page.
Use Cascading Style Sheets to format a SharePoint site.
Link web pages.
Add SharePoint components to the site.
Automate business processes with workflows.
Create InfoPath forms.
Import and export forms.
Customize a form layout.
Distribute forms.
Work with a database.

Prerequisites:

Knowledge of HTML not required, but helpful
Basic Computer Skills

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Latest comments from students

User: golf123

Instructor comments: Mr. Moore knew and presented the course very well. I would definitely take future courses with TechNow.