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.
Date/Locations:
No Events
Course Duration: 3 days
Course Outline:
Cloud Concepts
Core Azure Services
Security, Privacy, Compliance, And Trust
Azure Pricing and Support
Lab Objectives:
Create a virtual machine
Deploy Azure container instances
Create a virtual network
Create blob storage
Create a SQL database
Implement an Azure IoT Hub
Implement Azure Functions
Create a web app
Create a VM with a Template
Create a VM with PowerShell
Create a VM with CLI
Secure network traffic
Implement Azure key vault
Create an Azure Policy
Manage access with RBAC
Manage resource locks
Implement resource tagging
Exploring the Trust Center
Use the Azure Pricing Calculator
Use the Azure TCO Calculator
Open a Support request
Calculate composite SLAs
Access Azure Preview features
Prerequisites :
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.
AWS System Operations begins with a one day introduction to AWS products, services, and common solutions. It provides you with fundamentals to become more proficient in identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements and get started working on AWS.
The AWS course continues to flow with teaching those in a Systems Administrator or Developer Operations (DevOps) role how to create automatable and repeatable deployments of networks and systems on the AWS platform. The course covers the specific AWS features and tools related to configuration and deployment, as well as common techniques used throughout the industry for configuring and deploying systems.
To continue to learn more about AWS, TechNow has the following course:
Attendees to CL-415: AWS System Operations will receive TechNow approved course materials and expert instruction.
Duration: 5 Days
Audience:
This course is intended for:
• System Administrators
• Software Developers, especially those in a Developer Operations (DevOps) role
DoD 8140: Not Mandated
Course Prerequisites:
We recommend that attendees of this course have the following prerequisites:
• Background in either software development or systems administration
• Some experience with maintaining operating systems at the command line (shell scripting in Linux environments, cmd or PowerShell in Windows)
• Basic knowledge of networking protocols (TCP/IP, HTTP)
Course Objectives:
This course is designed to teach you how to:
• Understand basic data center design concepts.
• Recognize terminology and concepts as they relate to the AWS platform and navigate the AWS Management Console.
• Understand the foundational infrastructure services, including Amazon Virtual Private Cloud (VPC), Amazon Elastic Compute Cloud (EC2), Amazon Elastic Block Store (EBS), Amazon Simple Storage Service (S3), Auto Scaling, and Elastic Load Balancing (ELB).
• Understand the security measures AWS provides and key concepts of AWS Identity and Access Management (IAM).
• Understand AWS database services, including Amazon DynamoDB and Amazon Relational Database Service (RDS).
• Understand AWS management tools, including Amazon CloudWatch and AWS Trusted Advisor.
• Use standard AWS infrastructure features such as Amazon Virtual Private Cloud (VPC), Amazon Elastic Compute Cloud (EC2), Elastic Load Balancing, and Auto Scaling from the command line
• Use AWS CloudFormation and other automation technologies to produce stacks of AWS resources that can be deployed in an automated, repeatable fashion
• Build functioning virtual private networks with Amazon VPC from the ground up using the AWS Management Console
• Deploy Amazon EC2 instances using command line calls and troubleshoot the most common problems with instances
• Monitor the health of Amazon EC2 instances and other AWS services
• Manage user identity, AWS permissions, and security in the cloud
• Manage resource consumption in an AWS account using tools such as Amazon CloudWatch, tagging, and Trusted Advisor
• Select and implement the best strategy for creating reusable Amazon EC2 instances
• Configure a set of Amazon EC2 instances that launch behind a load balancer, with the system scaling up and down in response to demand
• Edit and troubleshoot a basic AWS CloudFormation stack definition
Dates/Locations:
No Events
Course Outline:
Day 1
• Introduction and History of AWS
• AWS Infrastructure: Compute, Storage, and Networking
• AWS Security, Identity, and Access Management
• AWS Databases
• AWS Management Tools
Day 2
• System Operations on AWS Overview
• Networking in the Cloud
• Computing in the Cloud Day 3
• Storage and Archiving in the Cloud
• Monitoring in the Cloud
• Managing Resource Consumption in the Cloud Day 4
• Configuration Management in the Cloud
• Creating Scalable Deployments in the Cloud
• Creating Automated and Repeatable Deployments Day 5 Full Day Lab
• Select the appropriate AWS service based on compute, data, or security requirements
• Execute steps required to provision cloud resources for selected deployment
• Identify and implement data protection, encryption, and capacity planning
• Implement and manage security policies, access controls, and role
• Implement Automation
TN-205: A+ Skills Class provides students with the skills, knowledge and understanding that will enable them to install, configure, upgrade, troubleshoot and repair personal computer systems. The A+ curriculum is excellent preparation for almost any computer related career or position. This course lays the foundation for further study in networking and programming. Designed for the new computer professional who has support knowledge of PC hardware, but needs to expand upon that knowledge.
Attendees to the TN-205: A+ Skills Class will receive TechNow approved course materials and expert instruction.
Please Note: This course is designed with a focus on skills and is not a preparation course for certification.
Course one of a three course series to obtain a Server 2016 MCSA certification. This five-day course is designed primarily for IT professionals who have some experience with Windows Server. It is designed for professionals who will be responsible for managing storage and compute by using Windows Server 2016, and who need to understand the scenarios, requirements, and storage and compute options that are available and applicable to Windows Server 2016.
The course leads directly to preparing for the(MCSA):Windows Server 2016 exam “70-740: Installation, Storage, and Compute with Windows Server 2016”. It also maps to Microsoft’s course 20740A, and is part of the Server 2016 MCSA certification.
Attendees to TN-5415: Installation, Storage, and Compute with Window Server 2016 will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
Prepare and install Nano Server, a Server Core installation, and plan a server upgrade and migration strategy
Describe the various storage options, including partition table formats, basic and dynamic disks, file systems, virtual hard disks, and drive hardware, and explain how to manage disks and volumes
Describe enterprise storage solutions, and select the appropriate solution for a given situation
Implement and manage Storage Spaces and Data Deduplication
Install and configure, and manage Windows and Hyper-V containers
Describe the high availability and disaster recovery technologies in Windows Server 2016
Plan, create, and manage a failover cluster
Implement failover clustering for Hyper-V virtual machines
Configure a Network Load Balancing (NLB) cluster, and plan for an NLB implementation
Create and manage deployment images
Manage, monitor, and maintain virtual machine installations
Prerequisites:
A basic understanding of networking fundamentals
An awareness and understanding of security best practices
An understanding of basic AD DS concepts
Basic knowledge of server hardware
Experience supporting and configuring Windows client operating systems such as Windows 10
