This intensive hands-on class teaches students to develop customized UNIX™ commands, read & write Bourne, Korn & Bash Shell scripts & automate critical server functions. The course includes extensive lab exercises, including hands-on development & debugging of shell scripts, which will give students the ability to be more efficient and productive in less time. The focus of the course will be the Bash shell.
Attendees to TN-215: Shell Programming 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.
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.
This two-day course will provide foundational level knowledge on cloud concepts; core Azure services; security, privacy, compliance, and trust; and Azure pricing and support.
NOTE: This course provides an Azure pass and time for you to participate in hands-on labs. The content for this course aligns to AZ-900 exam objective domain
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-900: Microsoft Azure Fundamentals will receive TechNow approved course materials and expert instruction.
There are no prerequisites for taking this course. Technical IT experience is not required however some general IT knowledge or experience would be beneficial.
This course is suitable for IT personnel who are just beginning to work with Azure.
This course primarily uses the Azure portal to create services and does not require scripting skills.
Students in this course will gain confidence to take other role-based courses and certifications, such as Azure Administrator.
This course provides an Azure pass and optional lab environment.
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.
