This is a hands-on course that covers many of the concepts of securing the perimeter of an organization. This includes concepts such as intrusion detection, packet filtering, and central logging.
A skills focus enables the student to better absorb the subject matter and perform better on the job. This is not death by power point. The course is aligned with information assurance operators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics of Firewalls.
This course, TN-305: Designing, Implementing, Administering and Securing Wireless Local Area Networks (LANs), covers the two main objectives for those entering the wireless world, understanding the technology & addressing its security. TN-305: Designing, Implementing, Administering and Securing Wireless Local Area Networks (LANs) takes advantage of the student’s existing expertise to provide a challenging introductory course. Covering a broad range of wireless networking topics & an introduction on how to secure a wireless LAN from hackers. To insure wireless availability you need to understand proper design choices & administration practices. To protect valuable information on your network you need to know how attacks occur & techniques used to secure your wireless network.
Attendees to TN-305: Designing, Implementing, Administering and Securing Wireless Local Area Networks (LANs) will receive TechNow approved course materials and expert instruction.
Attendees should have network administration skills. These skills can be obtained through TechNow’s N-205 & N-305: CCNA/ICND Training program or our highly respected cross platform TN-385: TCP/IP Analysis & Implementation course.
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Latest comments from students
User: TMPRIESTLEY
Instructor comments: The instructor was very well versed on the topic and knew how to apply it to real-life examples. He led the labs and was very excited about the topic which kept the interest of myself and other class members. Sometimes his volume level was a little high- however the room the class was in was very small. Too small for a big personality!
Facilities comments: I was unaware of the facility changes, but that was at no fault of anyone since I was a drop-in for the course. They were very helpful and quick to mediate the issue.
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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:
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Prerequisites:Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed.
