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Frontend Web Development

This course is designed to teach students the fundamental skills required to become a front-end web developer.

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Enrollment

Pre-register yourself for the next cohort

Program Duration

5 months

Learning Format

Online

What You Will Learn

  • Build a simple HTML text site
  • Style web pages using CSS
  • Program websites with JavaScript
  • Build a Pipboy using Bootstrap
  • Build and publish a Google Chrome Extension
  • Implement user authentication in React apps
  • Build fullstack React apps with NextJS
  • Build standalone React apps & applications connected to a backend via HTTP

Course Syllabus

Certification

Earn two career certificates

Include this achievement on your LinkedIn profile, resume, or CV as a testament to your professional growth and development.

Program Offerings

Practical Skills

You will learn practical skills in emerging careers that make you more valuable and appealing to employers

Projects

You will acquire the knowledge to create portfolio-worthy projects showcasing your skills

Mentorship

Experts working in the industry will mentor you in becoming successful professionals with leadership skills

Module 7

  • Week 7

Web Tools

Module 8

  • Week 8

Introduction to Javascript

Module 9

  • Week 9

Intermediate Javascript

Module 10

  • Week 10

Advanced Javascript

Module 11

  • Weeks 11 & 12

Project 1 - Capstone Project

Module 12

  • Week 13

Introduction to React

Module 13

  • Week 14

React Router and Single Page Applications

Module 14

  • Week 15

React Forms, Flow Architecture and Introduction to Redux

Module 15

  • Week 16

More Redux and Client-Server Communication

Module 16

  • Weeks 17 & 18

Project 2 - Capstone Project

Module 17

  • Week 19

Introduction to Server-side Development

Module 18

  • Weeks 20

Data, Data, Where art Thou Data?

Module 19

  • Weeks 21

Halt! Who goes there?

Module 20

  • Week 22

Backend as a Service (BaaS)

Module 21

  • Weeks 23

Github

Module 22

  • Weeks 24

Deploying Web Application

Module 23

  • Weeks 25

Database

Module 24

  • Weeks 26

Authentication & Security

Module 25

  • Weeks 27 & 28

Project 3 - Capstone Project

Module 26

  • Weeks 29 & 30

Review - Remaining Topics

Module 27

  • Weeks 27 & 28

Job - Interview Mocking and Training

Module 7

  • Weeks 17, 18 & 19

Design a User Experience for Social Good & Prepare for Jobs

Module 8

  • Week 20

Revamp an App (Telemart, Airlift etc.)

Module 9

  • Week 21

Assignment: Case Study on 5 UX mistakes of Airlift Express

Module 10

  • Week 22

Design a Web Page in XD

Module 11

  • Week 23

Capstone Project (1 and 2) Explained

Module 12

  • Week 24

Introduction to Freelancing (Upwork)

Module 13

  • Week 25

Introduction to Making a Resume / CV

Module 14

  • Week26

Introduction to Making a Digital CV

Module 15

  • Week 27

Introduction to making Behance, Dribbble and Linkedin Profiles

Module 15

  • Week 28

Preparing for the Elevator Pitch

Module 16

  • Week 29 & 30

Preparing for Product Design Interview Questions

Module 17

  • Weeks 31

Intro to Negotiation in Jobs

Module 7

  • Week 9

Clean Data, Assignment Prep

Module 8

  • Week 10

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

  • Week 11

Adding Data to Resume + Course Challenge

Module 10

  • Week 12

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

  • Week 13

Aggregating Data for Analysis, Performing Data Calculations

Module 12

  • Week 14

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

  • Week 15

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

  • Week 16

Programming and Data Analytics, Programming using R Studio

Module 15

  • Week 17

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

  • Week 18

Documentation and Reports, Learn About Capstone Basics

Module 17

  • Week 19

Building Your Portfolio + Using Your Portfolioo

Module 18

  • Weeks 20 & 21

Putting Your Certificate to Work

Module 19

  • Weeks 22 & 23

Introduction to Probability and Data with R

Module 20

  • Weeks 24 & 25

Inferential Statistics

Module 21

  • Weeks 26 & 27

Linear Regression and Modelling

Module 22

  • Weeks 28 & 29

Bayesian Statistics

Module 23

  • Weeks 30

Statistics with R Capstone (Final Project)

Module 24

  • Weeks 31

Job - Interview Mocking and Training

Module 7

  • Week 9

Clean Data, Assignment Prep

Module 8

  • Week 10

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

  • Week 11

Adding Data to Resume + Course Challenge

Module 10

  • Week 12

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

  • Week 13

Aggregating Data for Analysis, Performing Data Calculations

Module 12

  • Week 14

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

  • Week 15

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

  • Week 16

Programming and Data Analytics, Programming using R Studio

Module 15

  • Week 17

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

  • Week 18

Documentation and Reports, Learn About Capstone Basics

Module 17

  • Week 19

Building Your Portfolio + Using Your Portfolioo

Module 18

  • Weeks 20 & 21

Putting Your Certificate to Work

Module 19

  • Weeks 22 & 23

Introduction to Probability and Data with R

Module 20

  • Weeks 24 & 25

Inferential Statistics

Module 21

  • Weeks 26 & 27

Linear Regression and Modelling

Module 22

  • Weeks 28 & 29

Bayesian Statistics

Module 23

  • Weeks 30

Statistics with R Capstone (Final Project)

Module 24

  • Weeks 31

Job - Interview Mocking and Training

Module 7

  • Week 9

Clean Data, Assignment Prep

Module 8

  • Week 10

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

  • Week 11

Adding Data to Resume + Course Challenge

Module 10

  • Week 12

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

  • Week 13

Aggregating Data for Analysis, Performing Data Calculations

Module 12

  • Week 14

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

  • Week 15

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

  • Week 16

Programming and Data Analytics, Programming using R Studio

Module 15

  • Week 17

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

  • Week 18

Documentation and Reports, Learn About Capstone Basics

Module 17

  • Week 19

Building Your Portfolio + Using Your Portfolioo

Module 18

  • Weeks 20 & 21

Putting Your Certificate to Work

Module 19

  • Weeks 22 & 23

Introduction to Probability and Data with R

Module 20

  • Weeks 24 & 25

Inferential Statistics

Module 21

  • Weeks 26 & 27

Linear Regression and Modelling

Module 22

  • Weeks 28 & 29

Bayesian Statistics

Module 23

  • Weeks 30

Statistics with R Capstone (Final Project)

Module 24

  • Weeks 31

Job - Interview Mocking and Training

Frequently Asked Questions

The monthly fee for the courses is Rs 2000 and the registration fee is Rs 500 (it is non-refundable)
Yes, you will receive an international certificate after completing the course.
The eligibility criteria for the courses are age 22-35, unemployed, graduate, available for a full-time job after completion, basic English comprehension, preferably tech background, and computer skills.

Instructors

Abdur Rehman

He is a student of MS CS at NED university and also an experienced Web & Mobile app developer with 3+ years of experience in developing high-quality, user-friendly, maintainable & scalable applications for Web, Android & iOS platforms. Skilled in using React JS, React Native, React Navigation, Redux, and other technologies to build custom components, integrate APIs, and optimize app performance

Ijaz Liaqat

He is a dedicated React.js developer with two years of experience, currently employed at Orcalo Holdings. During his journey in the tech world, he has honed his skills in creating dynamic and user-friendly web applications.

Being part of the Orcalo team has provided him with an incredible opportunity to work on challenging projects and collaborate with talented professionals. He is passionate about exploring new technologies and is committed to continuously improving his expertise to deliver innovative solutions.

Wasiq Muhammad

Wasiq has 7+ years of experience in Full Stack Development and is currently working as a Principal Software Engineer in Pakistan's leading IT Company, Systems Ltd.

He has done Masters in Data Engineering and Information Management. He worked with Silicon Valley Startups to develop high-performance and scalable applications. He has been mentoring professionals and university students all over the world on cloud technologies.

Alumni Success

Khalil Ahmed

Cohort 1

Hired as a Junior Web Developer at

Module 7

  • Weeks 17, 18 & 19

Design a User Experience for Social Good & Prepare for Jobs

Module 8

  • Week 20

Revamp an App (Telemart, Airlift etc.)

Module 9

  • Week 21

Assignment: Case Study on 5 UX mistakes of Airlift Express

Module 10

  • Week 22

Design a Web Page in XD

Module 11

  • Week 23

Capstone Project (1 and 2) Explained

Module 12

  • Week 24

Introduction to Freelancing (Upwork)

Module 13

  • Week 25

Introduction to Making a Resume / CV

Module 14

  • Week26

Introduction to Making a Digital CV

Module 15

  • Week 27

Introduction to making Behance, Dribbble and Linkedin Profiles

Module 15

  • Week 28

Preparing for the Elevator Pitch

Module 16

  • Week 29 & 30

Preparing for Product Design Interview Questions

Module 17

  • Weeks 31

Intro to Negotiation in Jobs

Module 7

  • Week 9

Clean Data, Assignment Prep

Module 8

  • Week 10

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

  • Week 11

Adding Data to Resume + Course Challenge

Module 10

  • Week 12

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

  • Week 13

Aggregating Data for Analysis, Performing Data Calculations

Module 12

  • Week 14

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

  • Week 15

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

  • Week 16

Programming and Data Analytics, Programming using R Studio

Module 15

  • Week 17

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

  • Week 18

Documentation and Reports, Learn About Capstone Basics

Module 17

  • Week 19

Building Your Portfolio + Using Your Portfolioo

Module 18

  • Weeks 20 & 21

Putting Your Certificate to Work

Module 19

  • Weeks 22 & 23

Introduction to Probability and Data with R

Module 20

  • Weeks 24 & 25

Inferential Statistics

Module 21

  • Weeks 26 & 27

Linear Regression and Modelling

Module 22

  • Weeks 28 & 29

Bayesian Statistics

Module 23

  • Weeks 30

Statistics with R Capstone (Final Project)

Module 24

  • Weeks 31

Job - Interview Mocking and Training

Module 7

  • Week 9

Clean Data, Assignment Prep

Module 8

  • Week 10

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

  • Week 11

Adding Data to Resume + Course Challenge

Module 10

  • Week 12

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

  • Week 13

Aggregating Data for Analysis, Performing Data Calculations

Module 12

  • Week 14

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

  • Week 15

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

  • Week 16

Programming and Data Analytics, Programming using R Studio

Module 15

  • Week 17

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

  • Week 18

Documentation and Reports, Learn About Capstone Basics

Module 17

  • Week 19

Building Your Portfolio + Using Your Portfolioo

Module 18

  • Weeks 20 & 21

Putting Your Certificate to Work

Module 19

  • Weeks 22 & 23

Introduction to Probability and Data with R

Module 20

  • Weeks 24 & 25

Inferential Statistics

Module 21

  • Weeks 26 & 27

Linear Regression and Modelling

Module 22

  • Weeks 28 & 29

Bayesian Statistics

Module 23

  • Weeks 30

Statistics with R Capstone (Final Project)

Module 24

  • Weeks 31

Job - Interview Mocking and Training

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