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Web Development
Course

Learn Javascript, HTML & CSS and the latest web development techniques to become a full stack developer.

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Enrollment

Pre-register yourself for the next cohort

Program Duration

6-9 months

Learning Format

Online, self-paced course

What You Will Learn

  • Learn all the state-of-the-art technologies used in the modern world to build effective websites and be ready as a web developer
  • Getting started with web development tools and resources
  • Introduction to HTML and Javascript: another essential course to give overall structure and how modern day web works
  • HTML5 2020: Html authoring

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

Course Syllabus

Module 1

  • Weeks 1

Introduction to HTML / Introduction to CSS

Module 2

  • Week2

Intermediate CSS / Introduction to Bootstrap

Module 3

  • Week 3

Intermediate Bootstrap

Module 4

  • Weeks 4

Front-end Web UI Frameworks Overview: Bootstrap

Module 5

  • Week 5

Bootstrap CSS Components

Module 6

  • Week 6

Bootstrap Javascript Components

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

Instructors

Muhammad Usama

Usama is a Software Engineer at PosterMyWall, working on the online editor team.

He graduated with a bachelor's degree in Computer Science from LUMS, with a special focus on education and policy. He's been working in the EdTech sector since 2015 with experience from companies like RoboKids and Khud. His expertise lies in software engineering and modelling, cloud architecture, systems design and serverless computing.

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.

Frequently Asked Questions

Our LEC Agreement allows you to pay PKR0 upfront, and your tuition fee in fixed. You will pay back on monthly payments after you're hired into a qualifying position.

Yes, a professional course certificate will be awarded at the end of the course.

Alumni Success

Khalil Ahmed

Cohort 1

Hired as a Junior Web Developer at

Faran Ahmad

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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