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Video Monitoring Course
More than 2 million students worldwide

Video Monitoring Course

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Master every layer of professional video monitoring, from camera selection and system design to live operations and legal compliance. This course gives security professionals the technical knowledge and operational skills to build, manage, and audit surveillance systems that actually work. Whether you're entering the field or leveling up, this is the training that gets you there.

Dedika for businesses

What you will learn:

You'll learn how to select the right cameras for any environment, design coverage layouts that leave no blind spots, and configure recording systems for reliable storage and retrieval. The course covers IP networking for surveillance, live monitoring techniques, and video analytics tools that reduce operator workload. You'll also study cybersecurity hardening for camera networks, system integration with access control and alarms, and the privacy laws that govern every monitoring decision. By the end, you'll have the skills to operate, maintain, and continuously improve a professional video monitoring system.

How you study in practice Video Monitoring Course

How you practice Video Monitoring Course

For companies that want to train their team

With Dedika for Business, the course includes exercises and examples tailored to your own business and the way your company needs.

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Course content

8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Video Monitoring

  • Lesson 1 • Video Signal Basics

    Explains analog and digital signal formats, resolution standards, and frame rate fundamentals. Provides the technical vocabulary needed for all subsequent equipment chapters.

  • Lesson 2 • Key Components of a Camera System

    Identifies every hardware element in a standard video monitoring setup. Connects component knowledge to system design decisions made in later chapters.

  • Lesson 3 • Roles and Responsibilities of Operators

    Defines the professional duties of a video monitoring operator within a security team. Sets behavioral and ethical expectations that underpin the entire course.

  • Lesson 4 • History and Purpose of Surveillance

    Traces the evolution of video monitoring from analog closed-circuit systems to modern IP networks. Establishes why surveillance exists and what operational problems it solves.

Chapter 2See details

Camera Types and Selection Criteria

  • Lesson 1 • Environmental Ratings and Durability

    Interprets ingress protection ratings, impact resistance, and temperature tolerances for outdoor and industrial deployments. Ensures students select cameras that survive their operating environment.

  • Lesson 2 • Low-Light and Night Vision Performance

    Examines infrared illumination, starlight sensors, and wide dynamic range for low-light conditions. Directly informs camera selection for nighttime or poorly lit environments.

  • Lesson 3 • Fixed vs. Pan-Tilt-Zoom Cameras

    Compares stationary and motorized camera designs across coverage, cost, and maintenance factors. Guides students toward matching camera type to site requirements.

  • Lesson 4 • Camera Selection Decision Framework

    Applies a structured scoring method to match camera specifications to site threat assessments. Synthesizes all section knowledge into a repeatable selection process.

  • Lesson 5 • Specialty Camera Technologies

    Covers thermal, fisheye, covert, and license plate recognition cameras. Expands the selection toolkit beyond standard visible-light devices.

Chapter 3See details

System Design and Camera Placement

  • Lesson 1 • Documenting the Camera Layout

    Teaches how to produce accurate as-built drawings, camera schedules, and coverage maps. Creates the documentation baseline used in system audits and operator training.

  • Lesson 2 • Coverage Zones and Field of View

    Explains detection, observation, recognition, and identification zones and how lens choice affects each. Enables students to specify the correct lens for each coverage goal.

  • Lesson 3 • Site Survey Techniques

    Teaches physical and digital methods for assessing a site before camera placement decisions are made. Grounds all design work in real-world environmental data.

  • Lesson 4 • Designing for Redundancy and Gaps

    Introduces overlapping coverage strategies and backup camera placement to eliminate single points of failure. Prepares students to design resilient systems that hold up under adversarial conditions.

  • Lesson 5 • Camera Mounting and Positioning

    Covers mounting heights, angles, and orientations for interior and exterior installations. Connects physical placement decisions to image quality and legal defensibility.

Chapter 4See details

Recording Systems and Storage Management

  • Lesson 1 • Cloud and Hybrid Storage Solutions

    Examines cloud-based video storage, edge recording, and hybrid architectures for resilience and remote access. Prepares students for modern distributed storage environments.

  • Lesson 2 • Footage Retrieval and Chain of Custody

    Covers search, export, and handover procedures that preserve the evidentiary integrity of recorded footage. Connects storage management to legal and investigative requirements.

  • Lesson 3 • DVR vs. NVR Architectures

    Contrasts digital video recorder and network video recorder designs in terms of signal handling and scalability. Establishes the recording platform knowledge needed for configuration tasks.

  • Lesson 4 • Video Compression and Codecs

    Explains how compression algorithms reduce file size while preserving image quality for evidentiary use. Directly affects storage capacity planning and bandwidth allocation.

  • Lesson 5 • Storage Capacity Planning

    Provides formulas and tools for calculating storage requirements based on camera count, resolution, and retention period. Enables students to size storage correctly before procurement.

Chapter 5See details

Network Infrastructure for IP Cameras

  • Lesson 1 • Network Troubleshooting for Cameras

    Provides a systematic fault-finding process for offline cameras, packet loss, and latency issues. Builds the diagnostic competency needed to restore system availability quickly.

  • Lesson 2 • Bandwidth Management and QoS

    Teaches how to calculate camera bandwidth demands and apply Quality of Service rules to prioritize video traffic. Prevents network congestion from degrading live and recorded footage.

  • Lesson 3 • Switches, PoE, and Cabling

    Covers managed switches, Power over Ethernet standards, and structured cabling for camera networks. Connects physical infrastructure choices to system reliability and performance.

  • Lesson 4 • Remote Access and VPN Connectivity

    Explains secure remote viewing through VPN tunnels and encrypted web portals. Enables operators and managers to access footage from off-site locations safely.

  • Lesson 5 • IP Addressing and Network Topology

    Explains IP addressing, subnets, and common network topologies used in surveillance installations. Provides the networking foundation required for camera configuration tasks.

Chapter 6See details

Live Monitoring Techniques and Protocols

  • Lesson 1 • Incident Response Procedures

    Establishes the sequence of actions an operator takes from initial detection through escalation and handover. Ensures consistent, defensible responses across all shift personnel.

  • Lesson 2 • Structured Scanning Techniques

    Teaches systematic visual scanning patterns that maximize detection across multiple camera feeds. Builds the core perceptual skill that separates trained operators from untrained observers.

  • Lesson 3 • Threat Recognition and Behavioral Cues

    Identifies pre-incident behavioral indicators and environmental anomalies visible on camera. Enables operators to detect threats before they escalate into incidents.

  • Lesson 4 • Shift Handover and Continuity

    Covers the information transfer process between outgoing and incoming operators to maintain situational awareness. Prevents coverage gaps caused by incomplete handovers.

  • Lesson 5 • Control Room Setup and Ergonomics

    Defines optimal monitor layout, lighting, seating, and workstation configuration for sustained operator performance. Reduces fatigue-related errors that degrade monitoring quality.

Chapter 7See details

Video Analytics and Intelligent Detection

  • Lesson 1 • Motion Detection and Tripwire Rules

    Covers pixel-change motion detection and virtual tripwire configuration for perimeter monitoring. These are the most widely deployed analytics rules in operational systems.

  • Lesson 2 • Facial Recognition and Biometric Tools

    Introduces facial recognition workflows, accuracy limitations, and the ethical constraints governing their use. Prepares students to deploy biometric tools responsibly within policy boundaries.

  • Lesson 3 • Object Classification and Tracking

    Explains how analytics engines classify people, vehicles, and objects and maintain tracks across camera views. Enables automated monitoring of large areas with fewer operators.

  • Lesson 4 • Introduction to Video Analytics

    Defines rule-based and AI-driven analytics and explains how they process video streams to generate alerts. Sets the conceptual foundation for all analytics configuration work.

  • Lesson 5 • Analytics Performance Tuning

    Teaches how to measure false positive and false negative rates and adjust analytics parameters to improve accuracy. Closes the loop between deployment and operational effectiveness.

Chapter 8See details

Privacy, Legal Compliance, and Ethics

  • Lesson 1 • Signage, Disclosure, and Transparency

    Covers the placement, content, and legal sufficiency of surveillance notices and signage. Ensures operators can verify that disclosure obligations are met at every monitored site.

  • Lesson 2 • Ethical Decision-Making in Monitoring

    Presents frameworks for resolving ethical dilemmas that arise during live monitoring operations. Develops the judgment needed to act correctly when rules are ambiguous.

  • Lesson 3 • Privacy Rights and Surveillance Limits

    Defines reasonable expectation of privacy and the zones where surveillance is legally and ethically restricted. Establishes the compliance boundary for all system design decisions.

  • Lesson 4 • Data Protection Principles

    Applies data minimization, purpose limitation, and retention rules to video footage as personal data. Connects surveillance operations to broader data protection obligations.

  • Lesson 5 • Footage as Legal Evidence

    Explains the conditions under which recorded footage is admissible and how to preserve its integrity. Directly supports the chain-of-custody skills introduced in the storage chapter.

Certification

Your valid completion certificate

This course is for you:

  • Security guards seeking formal credentials to advance their monitoring careers.

  • IT technicians whose responsibilities now include IP camera network management.

  • Facility managers overseeing surveillance systems without dedicated security staff.

  • Career changers entering the physical security industry from unrelated backgrounds.

  • Loss prevention officers wanting deeper technical knowledge of camera systems.

  • Small business owners installing and managing their own surveillance infrastructure.

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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