Palo Alto Networks
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Unix/Linux
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Virtualization/Cloud
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Microsoft
Business
Dod 8140 Training
Programming
Specialized
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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User: golf123
Instructor comments: Mr. Moore knew and presented the course very well. I would definitely take future courses with TechNow.
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Course Overview:
The focus of this course is managing Red Hat OpenStack Platform using the unified command-line interface, managing instances, and maintaining an enterprise deployment of OpenStack. This course also teaches the management and customization of an enterprise deployment of OpenStack (overcloud) and how to manage compute nodes with Red Hat OpenStack Platform director (undercloud).
Attendees to CL-345: Red Hat OpenStack Administration II will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Prerequisites:
This course is intended for Linux system administrators, cloud administrators, cloud operators, and infrastructure architects interested in, or responsible for, maintaining a private or hybrid cloud.
Prerequisites for this course is Red Hat Certified System Administrator (RHCSA), or demonstrate equivalent experience.
Attend Red Hat OpenStack Administration I: Core Operations for Cloud Operators (CL115), or demonstrate equivalent experience
Course Outline:
- Navigate the Red Hat OpenStack Platform architecture
- Describe the OpenStack control plane
- Integrate Identity Management
- Perform image operations
- Manage storage
- Manage OpenStack networking
- Manage compute resources
- Automate could applications
- Troubleshoot OpenStack operations
- Comprehensive review
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Course Description:
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.
Course Outline:
01. Introduction to Artificial Intelligence
02. Everyday AI Tools and Use Cases
03. Building Blocks of AI
04. Prompt Crafting AI-Driven Interactions
05. AI Ethics and Responsible AI
Dates/Locations:
No Events
Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.
The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.
Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value
By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.
Course Objectives:
•MLOps Principles: Model life cycle management for scalable, production-ready AI
•Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives
•AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization
•AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions
•Change Management: Workforce enablement and stakeholder alignment
•KPI Development: AI metrics, success indicators, and executive dashboards
•AI Governance: Risk, ethics, compliance, and responsible AI principles
•Vendor Evaluation: AI platform and tool selection aligned with enterprise needs
Dates/Locations:
No Events
Prerequisites: Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed.
TN-412: Artificial Intelligence Essentials (AI|E)