Course Overview:
This course will be fast paced with in-depth and live demonstrations.
Date/Locations:
Duration: 1 day
Course Objectives:
Prerequisites:
Latest comments from students
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:
Prerequisites: Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed.
TN-412: Artificial Intelligence Essentials (AI|E)
Course Overview:
Linux System Administration II course is for experienced administrators ready for advanced administration topics. This course provides students with hands-on experience working with more complex and integrated administration concepts, and builds upon the Part 1 course. Students will be instructed in essential local Red Hat system administration skills including: Logical Volumes, Raid Management, and System Logging, SELinux and Virtual Machines. The Linux System Administration II course will get you started in understanding network administration topics, including monitoring, routing, Firewall with iptables, and servers such as NFS, SAMBA, DNS, SMTP, HTTP, DHCP, and Kickstart.
Attendees to RH-295: Linux System Administration II will receive TechNow approved course materials and expert instruction.
Dates/Locations:
| Date/Time | Event |
|---|---|
|
06/08/2026 - 06/12/2026 08:00 -16:00 |
RH-295: Linux System Administration II TechNow, Inc, San Antonio TX |
|
09/21/2026 - 09/25/2026 08:00 -16:00 |
RH-295: Linux System Administration II TechNow, Inc, San Antonio TX |
Duration: 5 days
Course Objectives:
Prerequisites:
Latest comments from students
Course Overview:
This comprehensive course provides you with an in-depth understanding of the current telecom landscape and how voice is migrating from a circuit- to a packet-switched network. You will learn how to evaluate existing technology options to determine which will best meet your organization's data and telephony requirements, from mature digital transport/access services to emerging voice and data services using voice over packet technologies.
Attendees to TN-245: Telecommunications Fundamentals will receive TechNow approved course materials and expert instruction.
Dates/Locations:
Duration: 5 days
Course Objectives:
Prerequisites:
Latest comments from students
Course Overview:
In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, NoSQL, or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data. The students will also explore how to design data security, including data access, data policies, and standards. They will also design Azure data solutions, which includes the optimization, availability, and disaster recovery of big data, batch processing, and streaming data solutions.
TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.
Attendees to DP-201: Designing an Azure Data Solution will receive TechNow approved course materials and expert instruction.
Date/Locations:
Course Duration: 3 days
Course Outline:
Prerequisites :
Latest comments from students