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

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PM-222: Agile Principles using SCRUM Approach

 

Course Overview: 

This class uses a sample product development initiative to illustrate the course principles.  If you need to learn what is required to lead or participate in an Agile effort using the SCRUM approach within your organization, this course will cover the Agile adaptive life cycle framework and all of the ceremonies, artifacts, and roles.

Attendees to PM-222: Agile Principles using will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 2 Days

Course Objectives: At the conclusion of this course, students will be able to:

  • Compare the Agile (adaptive) and Plan Driven (predictive/ waterfall) approaches
  • Understand the Agile Manifesto and SCRUM Framework
  • Apply the basics of Agile / SCRUM Team Organization, with importance of the Development Team responsibilities
  • Use Agile / SCRUM chartering, high-level estimating, and prioritization techniques to initiate a Product Roadmap and a Product Backlog
  • Create personas and user stories to lead to Development Team task assignments
  • Understand Release and Sprint Planning to lead to the Sprint Backlog
  • Plan and conduct a sample SCRUM Sprint from the Vision Statement through the Sprint retrospective

 

Target Student:

  • Designed specifically for Agile project team members, product owners, project leaders and senior managers or anyone wanting to understand the Agile Framework.

 

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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.

DP-201: Designing an Azure Data Solution

 

Course Overview:

In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, NoSQL, or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data. The students will also explore how to design data security, including data access, data policies, and standards. They will also design Azure data solutions, which includes the optimization, availability, and disaster recovery of big data, batch processing, and streaming data solutions.

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 DP-201: Designing an Azure Data Solution will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 3 days

Course Outline:

  • Data Platform Architecture Considerations
  • Azure Batch Processing Reference Architectures
  • Azure Real-Time Reference Architectures
  • Data Platform Security Design Considerations
  • Designing for Resiliency and Scale
  • Design for Efficiency and Operations

Prerequisites :

      • In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
      • AZ-900: Microsoft Azure Fundamentals
      • DP-200: Implementing an Azure Data Solution

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DP-200: Implementing an Azure Data Solution

 

Course Overview:

In this course, the students will implement various data platform technologies into solutions that are in-line with business and technical requirements, including on-premises, cloud, and hybrid data scenarios incorporating both relational and NoSQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.

The students will also explore how to implement data security, including authentication, authorization, data policies, and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing, and streaming data solutions.

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 DP-200: Implementing an Azure Data Solution will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 4 days

Course Outline:

  • Azure for the Data Engineer
  • Working with Data Storage
  • Enabling Team Based Data Science with Azure Databricks
  • Building Globally Distributed Databases with Cosmos DB
  • Working with Relational Data Stores in the Cloud
  • Performing Real-Time Analytics with Stream Analytics
  • Orchestrating Data Movement with Azure Data Factory
  • Securing Azure Data Platforms
  • Monitoring and Troubleshooting Data Storage and Processing

Prerequisites :

      • In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
      • AZ-900: Microsoft Azure Fundamentals

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