Knockout.js

OVERVIEW
Building Strategic Influence in Matrix Organizations

The Knockout.js is a standalone JavaScript implementation of the Model-view-viewmodel pattern with templates which helps to create rich, responsive display and editor user interfaces with a clean underlying data model.

The section of UI that updates dynamically (e.g., when an external data source changes or changing depending on the user’s actions), Knockout.js can help you implement it in a more simple and sustainable way.

WHAT YOU'LL LEARN
Why you shouldn't miss this course

By the end of this course, participants will have the leadership toolkit to shape and steer GenAI portfolios across their organization.

01How Knockout works
02Debugging techniques for declarative HTML and JavaScript view models
03Exploring data context and observables
04The power of subscriptions, custom functions and performance tuning, uses of custom bindings

PREREQUISITES
Recommended experience

CURRICULUM
Structured for
Strategic Application
  • Introduction to knockout.js
  • Knockout Features
  • Benefits of using knockout
  • MVVM
  • Your first knockout Example
  • Understanding Observable Property
  • Reading and writing Observables
  • Notify Subscribers
  • Delay change notifications
  • Observable Arrays

Binding

  • Visible
  • Text
  • Html
  • CSS
  • Style
  • Attr

Binding

  • if
  • ifnot
  • with
  • foreach
  • Click Binding
  • Passing data to method
  • Event Binding
  • Submit Biding
  • HasFocus Biding
  • Checked Binding
  • Options and selectedOptions Binding
  • Unobtrusive Event Handling
  • Understanding Template Binding
  • Rendering Named Template
  • ForEach option with a named template
  • Using as to give an alias to forEach
  • Dynamically choosing a template
  • Define a Component
  • Register a Component
  • Specifying a Template
  • Using Component without a container
  • Login Component
  • Using Template
  • Writing Component
  • Using Custom Component
  • Module 8: Handling JSON objects
  • JSON ViewModel Interoperability
  • Updating View Model using JSON
  • KO Mapping PlugIn
  • Unmapping to JavaScript Objects
  • Working with JSON Strings

Example to perform CRUD operations using KO and Web API

RECOMMENDED PARTICIPANT SETUP
This course follows Cognixia's AI-first,
hands-on learning model

Access to sanitized process maps, KPI definitions, candidate initiative lists, and basic cost baselines (time, cycle time, error or rework rates)

INTERESTED IN THIS COURSE?
Let's Connect

Speak with a Cognixia specialist about enrollment options, custom cohorts for your leadership team, or tailored delivery formats for your organization.

Response within 1 business day
Available in 5 delivery formats globally
Volume pricing for teams of 10+
Get in touch

One of our specialists will contact you within one business day.

WHY COGNIXIA
Why Cognixia for This Course

KEEP EXPLORING
Mapped Official Learning
Leadership
Equip enterprise leaders to drive culture, skills, policy, and operating-model change required for sustainable Generative AI adoption at scale.
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Build portable, enterprise-grade GenAI systems that run consistently across Databricks, AWS, and Google Vertex AI—without vendor lock-in, quality drift, or governance gaps.
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Systematic testing, evaluation, and quality engineering frameworks for validating GenAI and agentic AI systems at enterprise scale.
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Production-grade GenAIOps and LLMOps practices to deploy, monitor, evaluate, and govern enterprise-scale LLM and agentic applications with reliability and control.
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Design, build, evaluate, and operate production-grade agentic AI systems with multi-agent orchestration, tool integration, and enterprise-grade safety controls.
In-Person Workshop, Virtual Instructor-Led

READY TO SHAPE YOUR AI FUTURE?
Let's build the workforce
of the future

Enroll your leadership cohort in Designing GenAI Use-Case Portfolios & Business Cases.
Custom cohorts available for enterprise teams.