TechNow provides a wide variety of skills based computer training and testing. With our Headquarters in San Antonio, TX, we have provided services including computer training around the United States to many individuals and corporations.
Our products and services are designed for those who are seeking to expand their knowledge base, whether with one class or a series of classes to gain certification in specific areas of training.
Our talented and knowledgeable instructors enjoy teaching and sharing their skills; allowing you to expand and learn essential computer skills.
This is a list of some of our Products and Services
Sharepoint is becoming an institution in the modern office. Collaboration, file sharing, and even internal social sites are all available in SharePoint 2010/2013. Take advantage of all that Sharepoint has to offer. Learn to install, configure and administer SharePoint 2010/2013, by taking this 5 day course.
Attendees to MS-10174: Configuring and Administering SharePoint 2010/2013 will receive TechNow approved course materials and expert instruction.
Dates/Locations
No Events
Duration: 5 Days
Course Objectives:
Prepare and Install SharePoint 2010/2013
Configure the Fundamental Services and Logical Components
Administer SharePoint Using Command Line, User Interface and Powershell
Manage Content in Lists and Libraries
Install, Configure, and Operate a SharePoint Farm
Prerequisites
Students should be experienced Windows 2003 or Windows 2008 server administrators
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.
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.
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.
