Course Overview:

Learn how a Modern Desktop Administrators deploys, configures, secures, manage, and monitors devices and client applications in an enterprise environment. This is a hands-on, instructor led Bootcamp focusing on the real world responsibilities of a Modern Desktop Administrator and covering the information needed for the certification exams, which are administered while attending.

If you’ve passed Exam 70-698: Configuring Windows 10 (retired March 31, 2019) you only need to take MD-101 to earn this new certification.

This certification is one of the workload administrator certification required for the Microsoft 365 Certified: Enterprise Administrator Expert certification.

Dates/Locations:

No Events

Duration: 10 Days

Course Content:

    • Module 01. Installing Windows
    • Module 02. Updating Windows
    • Module 03. Post-Installation Configuration and Personalization
    • Module 04. Configuring Peripherals and Drivers
    • Module 05. Configuring Networks
    • Module 06. Configuring Storage
    • Module 07. Managing Apps in Windows 10
    • Module 08. Configuring Authorization & Authentication
    • Module 09. Configuring Data Access and Usage
    • Module 10. Configuring Advanced Management Tools
    • Module 11. Supporting the Windows 10 Environment
    • Module 12. Troubleshooting the Windows OS
    • Module 13. Troubleshooting Files & Applications
    • Module 14. Troubleshooting Hardware and Drivers
    • Module 15. Planning an Operating System Deployment Strategy
    • Module 16. Implementing Windows 10
    • Module 17. Managing Updates for Windows 10
    • Module 18. Device Enrollment
    • Module 19. Configuring Profiles
    • Module 20. Application Management
    • Module 21. Managing Authentication in Azure AD
    • Module 22. Managing Devices and Device Policies
    • Module 23. Managing Security

 

Prerequisites:

      • Microsoft 365 Certified Fundamentals (M-MS900)

Target Audience:

IT professionals who perform installation, configuration, general local management and maintenance of Windows 10 core services. Candidates may also be familiar with enterprise scenarios and cloud-integrated services.

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Course Overview:

TechNow’s Course provides existing .NET developers with practical information and labs that enables them to build solutions on the Microsoft SharePoint 2010/2013 platform.

Attendees to MS-10175: Developing & Customizing Applications for Microsoft SharePoint 2010/2013 will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Introduction to SharePoint 2010/2013 Development Platform
  • Using SharePoint 2010/2013 Developer Tools
  • Developing SharePoint 2010/2013 Web Parts
  • Working with SharePoint Objects on the Server
  • Creating Event Receivers and Application Settings
  • Developing Solutions by Using Business Connectivity Services
  • Developing SharePoint 2010/2013 Workflows
  • Working with Client-based APIs for SharePoint 2010/2013
  • Developing Interactive User Interfaces
  • Developing Silverlight Applications for SharePoint
  • Developing Sandboxed Solutions
  • Working with SharePoint Server Profiles and Taxonomy APIs
  • Developing Content Management Solutions

    Prerequisites:

    • An understanding of the problem-solving techniques that apply to software development
    • Approximately 12 months experience with ASP .NET 3.5 with Visual Studio 2008 (or later)
    • Approximately 1 month development experience with SharePoint 2007 or SharePoint 2010/2013 and VS2010/2013 (includes beta releases) creating code that interacts with the SharePoint Sever-side APIs
    • Experience performing end user tasks with SharePoint 2007 or SharePoint 2010/2013 and an understanding of the purpose and use of the following:
      • Lists
      • Documents and Libraries
      • Personalizing an SP Page/Site
      • Using MySites
      • Using SharePoint Designer

    Comments

    Latest comments from students


    User: kelleyd10

    Instructor comments: Clay was / is an outstanding instructor. He was very flexible in what the class needed. He was very accommodating and resourceful in answering the class questions. Clay's teaching style is greatly appreciated.

    Facilities comments: Were good


    User: dennij

    Instructor comments: Very professional and knowledgeable. Available before and after class.

    Facilities comments: Location was nice but too far from Lackland.


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    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.

    Course Overview:

    This course begins by introducing you to fundamental cloud computing and AWS security concepts including AWS access control and management, governance, logging, and encryption methods. It also covers security-related compliance protocols and risk management strategies, as well as procedures related to auditing your AWS security infrastructure.

    The course continues to teach students how to efficiently use AWS security services to stay secure and compliant in the AWS cloud. The course focuses on the AWS-recommended security best practices that you can implement to enhance the security of your data and systems in the cloud. The course highlights the security features of AWS key services including compute, storage, networking, and database services. This course also refers to the common security control objectives and regulatory compliance standards and examines use cases for running regulated workloads on AWS across different verticals, globally. You will also learn how to leverage AWS services and tools for automation and continuous monitoring—taking your security operations to the next level.

    Attendees to CL-425: AWS Security Operations and Architecture will receive TechNow approved course materials and expert instruction.

    Duration: 5 Days

    Audience:
    • Security engineers
    • Security architects
    • Security analysts
    • Security auditors
    • Individuals who are responsible for governing, auditing, and testing an organization’s IT infrastructure, and ensuring conformity of the infrastructure to security, risk, and compliance guidelines

    DoD 8140: Not Mandated

    Course Prerequisites:

    We recommend that attendees of this course have the following prerequisites:
    This course assumes you have the equivalent experience or have taken the AWS operational courses that are in the TechNow AWS track.
    CL-415: AWS Security Operations

    The above courses encapsulate prerequisite knowledge:
    • Experience with governance, risk, and compliance regulations and control objectives
    • Working knowledge of IT security practices
    • Working knowledge of IT infrastructure concepts
    • Familiarity with cloud computing concepts

    Course Objectives:

    This course teaches you how to:
    • Identify the security and compliance benefits of using the AWS cloud.
    • Discuss the AWS Shared Responsibility Model.
    • Describe the access control and access management features of AWS.
    • Use AWS services for security logging and monitoring.
    • Describe data encryption methods to secure sensitive data.
    • Describe AWS services used to protect network security.
    • Describe the basic steps to ensure strong governance of your AWS resources.
    • Identify AWS services used to maintain governance of control environments.
    • Use the AWS audit features.
    • Explain how to audit an AWS environment.
    • Explain the AWS compliance and assurance programs.
    • Describe how AWS audits and attestations validate that security controls are implemented and operating effectively.
    • Assimilate and leverage the AWS shared security responsibility model.
    • Mange user identity and access management in the AWS cloud.
    • Use AWS security services such as AWS Identity and Access Management, Amazon Virtual Private Cloud, AWS Config, AWS CloudTrail, AWS Key Management Service, AWS CloudHSM, and AWS Trusted Advisor.
    • Implement better security controls for your resources in the AWS cloud.
    • Manage and audit your AWS resources from a security perspective.
    • Monitor and log access and usage of AWS compute, storage, networking, and database services.
    • Analyze events by capturing, monitoring, processing, and analyzing logs.
    • Identify AWS services and tools to help automate, monitor, and manage security operations on AWS.
    • Perform security incident management in the AWS cloud.
    • Perform security assessments to ensure that common vulnerabilities are patched and security best practices are applied. The assessment outline deals both with AWS specifics and also lays down the workflow of NIST, FedRAMP, and Cloud Security Alliance STAR compliance for a deployed AWS solution.

    Dates/Locations:

    No Events

    Course Outline:

    Day 1
    • Introduction to Cloud Computing and AWS Security
    • Access Control and Management
    • AWS Security: Governance, Logging, and Encryption
    • Compliance and Risk Management

    Day 2
    • Introduction to Cloud Security Course Objectives
    • Security of the AWS Cloud: Entry Points, Web Application, Communications, and Incident Response.
    • Cloud Aware Governance and Compliance and related control frameworks.
    • Identity and Access Management
    Day 3
    • Securing AWS Infrastructure Services
    • Securing AWS Container Services
    • Securing AWS Abstracted Services
    • Using AWS Security Services
    Day 4
    • Data Protection in the AWS Cloud
    • Managing security in a hybrid environment
    • Deep dive into AWS monitoring and log analysis
    • Protecting against outside threats to AWS VPC
    Day 5
    • How to carry out a Pentest on an AWS solution
    • Security Incident Management and Automating security and incident response
    • Threat detection and monitoring sensitive data
    • Lets Do it! Building Compliant Workloads on AWS—Case Study