PM-221: Agile Overview for Executives and Leaders

 

Course Overview: Clear and detailed discussion on the following course content:

  • What is the Agile Adaptive  Methodology versus the Predictive (waterfall) Methodology?
  • The Agile Value Proposition, by explanation of the Agile Manifesto and Agile Principles.
  • What is the Scrum Framework by explanation of Scrum Roles, Ceremonies and Artifacts?
  • What are the artifacts of Product Planning, Release Planning and Sprint Planning?
  • What are the Agile impacts to corporate team structures and stakeholder alignment?
  • What are Agile myths and why an Agile transformation will fail?
  • What are Agile (hybrid) tailoring considerations?


Attendees to PM-221: Agile Overview for Executives and Leaderswill receive TechNow approved course materials and expert instruction.

 

Dates/Locations:

No Events

Duration: 1 Days

Course Objectives: Are you and executive or leader in your organization and interested in learning about Agile principles? This course details the Agile framework that uses an adaptive life cycle, specifically related to using the Scrum approach.

Upon successful completion of this course, students will be able to:

  • Understand an overview of the main aspects that leadership must know to implement strategic opportunities with Agile principles for product quality and on-time product delivery
  • Participants will dive into understanding the strategic and tactical elements of implementing Agile and Scrum into their organization
  • Receive details on how to understand the organizational impact that the Agile transformation could have on the different aspects of your current business processes

Target Student:

  • Designed specifically for leaders and senior managers or anyone wanting to understand the high-level basics of the Agile Framework

 

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MS-6232: Implementing a Microsoft SQL Server Database

Course Overview:

This course provides students with the knowledge and skills to implement a Microsoft SQL Server database. The course focuses on teaching individuals how to use SQL Server product features and tools related to implementing a database.

Attendees to MS-6232: Implementing a Microsoft SQL Server Database will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Creating Databases and Databases Files
  • Creating Data Types and Tables
  • Creating and Tuning Indexes
  • Implementing Data Integrity by Using Constraints and Triggers
  • Using XML
  • Implementing Views
  • Implementing Stored Procedures
  • Implementing Functions
  • Implementing Managed Code in the Database
  • Managing Transactions and Locks
  • Using Service Broker

Prerequisites:

  • Basic knowledge of the Microsoft Windows operating system and its core functionality
  • Working knowledge of Transact-SQL
  • Working knowledge of relational databases
  • Some experience with database design

Comments

Latest comments from students

User: bangbangsplat

Instructor comments: some kind of presentation would have been helpful in learning the objectives of the course (PowerPoint, drawing on easel, etc.) It seemed like the instructor is not too familiar with the error codes we were receiving during the Practice Exams.

Facilities comments: preferred to have the location located in a less busy area of the city

User: smaxam

Instructor comments: Clay was very knowledgable but had to repeat questions a number of times to get his attention.

Facilities comments: Holiday Inn was nice

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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.

 

Comments

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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.