DO-375: Automation with Ansible and Ansible Tower

 

Course Overview:

Through hands-on labs, you will learn to automate system administration tasks on managed hosts with Ansible, learn how to write Ansible playbooks to standardize task execution, and manage encryption for Ansible with Ansible Vault. This course will also teach you how to deploy and use Red Hat® Ansible Tower to centrally manage existing Ansible projects, playbooks, and roles; perform basic maintenance and administration of the Ansible Tower installation; and configure users and teams and use them to control access to systems, projects, and other resources through role-based access controls. You will learn to use Ansible Tower’s visual dashboard to launch, control, and monitor Ansible jobs; use the Ansible Tower application programming interface (API) to launch jobs from existing templates; automatically schedule Ansible jobs; and dynamically update host inventories.

Course Objectives:

  • Install and troubleshoot Ansible on central nodes and managed hosts
  • Automate administration tasks with Ansible playbooks and ad hoc commands
  • Write effective Ansible playbooks
  • Protect sensitive data used by tasks with Ansible Vault.
  • Install and configure Ansible Tower for enterprise Ansible management
  • Use Ansible Tower to control access to inventories and machine credentials by users and teams
  • Create job templates in Ansible Tower to standardize playbook execution.
  • Centrally launch playbooks and monitor and review job results with Ansible Tower

 

Course Outline:

  • Introduce Ansible
  • Deploy Ansible
  • Implement playbooks
  • Manage variables and inclusions
  • Implement task control
  • Implement Jinja2 templates
  • Implement roles
  • Configure complex playbooks
  • Implement Ansible Vault
  • Troubleshoot Ansible
  • Install Ansible Tower and describe Ansible Tower’s architecture
  • Create users and teams for role-based access control
  • Create and manage inventories and credentials
  • Manage projects for provisioning with Ansible Tower
  • Construct advanced job workflows
  • Update inventories dynamically and compare inventory members
  • Maintenance and administration of Ansible Tower

 
Dates/Locations:

No Events

Duration: 5 Days

Prerequisites:

  • Become a Red Hat Certified System Administrator, or demonstrate equivalent experience

Target Audience:

This course is designed for Linux system administrators, cloud administrators, and network administrators needing to automate configuration management, application deployment, and intraservice orchestration at an enterprise scale.

Artificial Intelligence

TechNow has been training IT, programming, and Cyber Security for over 28 years. Artificial Intelligence skills are being developed across many enterprises.

Here is our list of Artificial Intelligence and Machine Learning related courses.

in   

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.

PM-242: Defining Agile Requirements with User Stories

 

Course Overview: 

 

This course identifies how business analysts can elicit Agile requirements by writing user stories from use cases and personas of customer profiles.  This leads to the processes of confirming the validity and usability for quality of the product development.  An Agile Business Analyst has become a new recognized role within the other Agile Framework roles.

Attendees to PM-242:Defining Agile Requirements with User Stories 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:

  • Understand the Scrum Flow, the core components of the Scrum framework
  • Understand the scope of the Product Owner role in detail
  • Understand the scope of the Agile Business Analysis role in coordination with the Product Owner, Scrum Master and Development Team
  • Understand the scope of the Scrum Master role at a high level
  • Understand the scope of the Scrum Development Team roles
  • Document the interactions between the user of a system and the system itself
  • Dive into understanding the Agile principles for requirements using user stories in a card, conversation, and confirmation format

 

Target Student:

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

Comments

Latest comments from students

Liked the class?  Then let everyone know!

CL-425: AWS Security Operations and Architecture

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