This course details how a well-educated Product Owner and a knowledgeable Scrum Master can work together to deliver a successful product with Agile principles using SCRUM approach. Designed specifically for students who want to learn the mechanics of an Agile / Scrum team being led by a Product Owner and a Scrum Master.
This course offers a firm grasp of Agile principles as they relate to new product development. 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 covers the Agile adaptive life cycle framework and everything in between.
Attendees to PM-232: Product Owner and Scrum Master Roles in AGILE using SCRUM 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 principles of empirical process control
Understand the scope of the Product Owner role in detail
Understand the scope of the Scrum Master role at a high level
Understand the scope of the Scrum team roles and why there is no project manager
Understand how the Scrum Master measures team velocity
Understand the importance of having the product vision as an overarching goal galvanizing the entire Scrum team
Understand the relationship between the vision and the product roadmap
Understand the different estimation levels in Scrum
Understand what the Product Backlog is and what it is not
Understand Product Backlog grooming
Understand that Scrum planning is adaptive, iterative, incremental, and collaborative
Target Student:
Designed specifically for Agile project team members, product owners, project leaders and senior managers or anyone wanting to understand the Agile Framework.
Through an introduction to Docker, Kubernetes, and Red Hat OpenShift Platform, this training course helps you understand one of the key tenets of the DevOps and DevSecOps Platform (DSOP) movement: continuous integration and continuous deployment. The CI/CD pipeline becomes well understood and implemented in an open architecture. Containers have become a key technology for the configuration and deployment of applications and micro services. Kubernetes is a container orchestration platform that provides foundational services in Red Hat OpenShift Container Platform, which allows enterprises to manage container deployments and scale their applications using Kubernetes.
This training course provides an overview of the DoD Enterprise DevSecOps Platform (DSOP) Reference Design, its current state, and ties to DoD Cloud Platform One (P1). Workflows of the DoD Iron Bank container repository are introduced, along with an overview of the DoD Pipeline as represented in Big Bang. Continuous authorization cATO via Party Bus within NIST RMF is presented. You will become aware of the Platform One (P1) integrations and relationship to Docker, Kubernetes, Istio (Red Hat OpenShift Service Mesh) and Red Hat OpenShift Platform.
In addition to gaining an understanding of these tools, you will build core administration skills through the installation, configuration, and management of an OpenShift cluster and containerized applications.
Course Objectives:
Learn about Containers, Docker, Kubernetes, and OpenShift architecture
Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use
The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries
Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.
By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.
This Python for Penetration Testing course is designed to give you the skills you need for maintaining or developing Python Penetration Testing tools oriented towards offensive operations. We have a suite of courses and certifications that help understand a problem, this course prepares the student to rapidly develop prototype code to attack or defend against it.
The course concludes with a Capture the Flag event that will test both your ability to apply your new tools and coding skills in a Python Penetration Testing challenge.
This course is not intended to be an Advanced Python course, but to exemplify penetration techniques utilizing Python. The course covers Threading, Sockets, OOP, and third party modules that facilitate the offensive operator’s objective.
This course utilizes the “Violent Python” text book.
Attendees to TN-345: Python for Penetration Testers Class will receive TechNow approved course materials and expert instruction.