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.
Course Overview:
Windows Forensic Analysis is a hands-on course that covers digital forensics of the Microsoft Windows operating system. The collection and analysis of data tracking user based activity that can be used for internal purposes or legal litigation. TechNow has the student analyze many data images for various Windows operating systems, as current as Windows 8.1, Windows 10 in an environment that uses many Cloud technologies such as Office365, Skydrive, Sharepoint, Exchange Online, and Windows Phone.
This is not death by power point. The course is aligned with digital forensic investigators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics of Windows Forensic Analysis.
Attendees to TN-909: Windows Forensic Analysis will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Duration: 5 days
Course Objectives:
- Windows Operating System Components
- Core Forensic Principles
- Live Response and Triage-Based Acquisition Techniques
- Windows Image Mounting and Examination
- Memory, Pagefile, Filesystems
- Data and Metadata
- Profiling systems and users
- Tracking USB and BYOD
- Log and Registry Analysis
- User Communications
- Email Forensics
- Browser Forensics
- Reporting and Presentation
Course Prerequisites:
- Windows and Security Experience
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Course Overview:
Install, configure, and manage Red Hat JBoss Enterprise Application Platform
Red Hat JBoss® Application Administration I teaches you the best practices for installing and configuring Red Hat JBoss Enterprise Application Platform 6. Through hands-on labs, learn the essential, real-world tasks that a system administrator needs to know to effectively deploy and manage applications on JBoss Enterprise Application Platform.
Attendees to RH-345: Red Hat JBoss Application Administration I, will receive TechNow approved course materials and expert instruction.
Dates/Locations:
Duration: 5 Days
Course Objectives:
- Overview of JBoss Enterprise Application Platform
- Configure JBoss Enterprise Application Platform in standalone mode
- Configure JBoss Enterprise Application Platform in domain mode
- Configure servers
- Use the CLI tool
- The datasource subsystem
- The logging subsystem
- The messaging subsystem
- The security subsystem
- JVM configuration
- Migrating applications to JBoss Enterprise Application Platform 6
- The web subsystem
Prerequisites:
- Linux System Administration
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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)