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Learn to build Tech solutions with enhanced UX

TechnologiX

1.  Adapting to the technologies of Industry 4.0

2.  Python and Data Analytics

3. JEDI Certification Program


Students may also take up Classroom Training Program after the Lockdown period. Register here

Business Analytics; What is it all about?

Hear Arpit Bhal, an engineering graduate (CET Bhubaneswar) and a 2020 batch student at ESADE-Barcelona's World# 5 MSc in Business Analytics program, talk about the most important aspect of analytics. 

Adapting to the technologies of Industry 4.0

Why prepare for just a job when you can prepare for the Industry?

TechnologiX is a cutting-edge IT training program that brings to students intensive coursework on certain aspects of Product Management roles in Tech-industries around the world. You will get a deep understanding of product development, innovation and productivity management that top IT companies look for. TechnologiX also exposes students to best practices in IT using the Design Thinking approach to solving problems, and develops a logical thinking mindset among students who can then start creating tech-solutions independently. 


  

PROGRAM DETAILS:

Adapting to the technologies of Industry 4.0

1. New problem-solving paradigm using multiple technology stacks such as Javascript, C and Python

2. Full stack web development using CSS3, HTML5, Javascript, Flask API, Python, SQL lite

3. Software Configuration Management with Git and Source code repository on the cloud with GitHub 



We will discuss the technologies right from Modern Vanilla Javascript to JQuery to Single Page Applications using front end Frameworks and libraries that power some of the most popular websites: AngularJS (Gmail, Youtube, Forbes), React (Facebook, Instagram, Airbnb, Netflix, Dropbox, Uber, Whatsapp), etc. We will also understand Responsive UI i.e how the website adjusts its layout based on whether you are viewing it on a laptop, a tablet or a smart phone. We will also build our own website and be able to save it and view it in any device that supports a web browser.



Responsive UI

See your work progress in realtime

Course Content

Full stack web development. Front end:CSS3, HTML5, JavaScript. Back end: Flask API, Python, SQL lite

  

Front End with HTML5, CSS3 and Javascript


Installations:

1. Visual Studio Code: https://code.visualstudio.com/

2. Git: https://git-scm.com/


Topic 1

1. Introduction to the Program and course outline

2. Coding Session

3. Theory with hands-on

Web Module 1: Browser, HTTP, Request Response, UI/UX, API, Cloud

HTML5 Module 1: HTML tags, HTML5 semantic elements

CSS3 Module 1: Intro, Syntax, basic website styling, Fonts, images, background, Positioning

Javascript Module 1: 

  • Intro
  • ES5, ES6+, ECMA
  • Syntax 
  • Variables
  • Types
  • Functional Programming

4. Assignment submission through GitHub


Topic 2

1. Recap of previous session

2. Coding Session

3. Theory with hands-on

Web Module 2: Replicate Web server and DNS on local with IIS and host file entries, Session and Cookies

CSS3 Module 2: Animation, Responsive UI, Pseudo classes vs Pseudo elements, Dialog, Notification

Browser Module 1: Chrome Developer Tools - 

  • View Source
  • CSS
  • Page resources downloaded

Javascript Module 2: 

  • DOM Manipulation, 
  • Events and handlers
  • Event Bubbling and Delegation
  • Publish Subscribe pattern

4. Assignment submission through GitHub


Topic 3

1. Recap of previous session

2. Coding Session

3. Theory with hands-on

Web Module 3: Introduction to Cyber Security. XSS, CSRF, CORS, SameSite cookie

Browser Module 2: Chrome Developer Tools - 

  • Debugging 
  • Async API calls 
  • Performance

Javascript Module 3: 

  • Type conversion
  • Mathematical Operators 
  • Template Literals
  • If..else
  • Switch case
  • Loops
  • Function scope vs block scope

4. Assignment submission through GitHub


Topic 4

1. Recap of previous session

2. Coding Session

3. Theory with hands-on

Javascript Module 4: 

  • Javascript Arrays
  • Spread operator
  • isArray()
  • filter(), map(), reduce()
  • forEach()
  • Push()
  • pop(), find(), shift(), unshift(), splice()
  • split()
  • join()

4. Assignment submission through GitHub


Topic 5

1. Recap of previous session

2. Coding Session

3. Theory with hands-on

Javascript Module 5: 

  • Functions
  • arguments keyword
  • Pure functions
  • Higher order functions 
  • Closures 
  • Callbacks 
  • Call(), apply(), bind()
  • Rest parameter, Named functions 
  • Anonymous functions
  • Arrow functions () => {}
  • Try{}..catch(){}

4. Assignment submission through GitHub


Topic 6

1. Recap of previous session

2. Coding Session

3. Theory with hands-on

Javascript Module 6: 

  • JSON
  • Modules
  • Async Javascript
  • XHR 
  • Fetch API 
  • Promise 
  • Async Await

4. Assignment submission through GitHub


Python3 

Installations:

Python: 

https://www.python.org/downloads/


Topic 7

1. Recap of Front End Web Development

2. Introduction to Python

3. Theory with hands-on

Python Module 1: 

Interpreted language. Not statically typed

Indentation

Code check at runtime

Strings

  • Str keyword
  • String concatenation
  • tab(\t) and new line (\n)
  • string methods find(), startsWith(), join(), split(), etc
  • Format: string %, format(), f-strings

4. Assignment submission through GitHub


Topic 8

1. Recap of previous session

2. Coding Session

3. Theory with hands-on

Python Module 2: 

List, Array

Sorting

List methods

Loops

  • for…in list
  • for…in range

4. Assignment submission through GitHub


Topic 9

1. Recap of previous session

2. Coding Session

3. Theory with hands-on

Python Module 3: 

Tuples 

JSON

Dictionary

Regular Expression

4. Assignment submission through GitHub


Solve Common Coding problems in Javascript, C and Python 


Topic 10

1. Recap of the previous session

2. Coding Session: Solve multiple common programming questions and compare solutions between all three programing languages

3. Submission through GitHub


Back-end with Flask API, Python

Installations:

Postman: https://www.getpostman.com/


Topic 11

1. Recap of previous session

2. Coding Session

3. Theory with hands-on

Build API methods with Python Module 1: 

Create method

Get method

Get list method

SQL Module 1

Save to DB

4. Assignment submission through GitHub


Topic 12

1. Recap of previous session

2. Coding Session

3. Theory with hands-on

Create API methods with Python Module 2: 

Edit method

Delete method

SQL Module 2

Save to DB

4. Assignment submission through GitHub


Integrate Front end with Back End to complete full stack App


Topic 13

1. Recap of previous session

2. Hands-on

  • Create Async Javascript call to Create API
  • Create record in DB 
  • Create Async Javascript call to Get API
  • Fetch record from DB
  • Create Async Javascript call to Get All API
  • Fetch records from DB
  • Test

3. Submission through Git Hub


Topic 14

1. Recap of previous session

2. Hands-on

  • Create Async Javascript call to Edit API
  • Update record in DB 
  • Create Async Javascript call Delete API
  • Delete record in DB 
  • Test

3. Submission through Git Hub


Final Project


Topic 15

1. Present Project requirements

2. Brainstorm requirement and create n-tier architecture 

3. Break down each layer and create tasks to complete project

4. Scrum and Agile approach for Product delivery

5. Create smallest working feature and test it and iterate the process

6. Save progress using GitHub


Topic 16

1. Recap previous session with QnA

2. Review design decisions and continue with tasks

3. Scrum and Agile approach for Product delivery

4. Create smallest working feature and test it and iterate the process

5. Save progress using GitHub


Topic 17

1. Recap of previous session with QnA

2. Scrum and Agile approach for Product delivery

3. Create smallest working feature and test it and iterate the process

4. Final Submission through GitHub

Python and Data Analytics

Project based learning for better understanding

The course is designed to train you in Python and give you basic, but strong, fundamentals that are used in Data Analytics and Machine Learning. It gives you the confidence to approach the entry-level top jobs that IT and consulting companies offer to technology and management graduates.


Module 1

Environment Setup: Install Anaconda for Python 3 / Visual Studio Code 

Install the latest version of Python if using Visual Studio code.

Introduction to the selected code editor

Introduction to Python

Introduction to Terminal and Command Line Interface


Module 2

Mini-Project:1

Python keyword and Identifiers

Simple output statement with print()

Simple input statement with input()

Create a simple python file or script with the “.py” extension.

Coding in interactive mode or REPL (Read-eval-print loop)

Coding in Script mode by creating and running entire python files or modules. 

Coding exercise to learn and review math logic and syntax for addition, multiplication, division, etc. using mean, median, mode and other functions.


Study Material:

Input and Output

Keywords and Identifiers


Module 3

Mini-Project:2

Python as a Dynamically typed and strongly typed language

Variables

Data types - int, float, str, bool

Type Casting

Naming Convention and Style guide

String methods and String formatting


Study Material:

Datatypes

Language Features

Memory Management 


Module 4

Mini-Project:3

Arithmetic operators

Logical operators 

Special operators like Identity and Membership

Bit-wise operators - generally used in Sets


Study Material:

Date Time

String Format

String Methods 


Module 5

Mini-Project:4

Scope and Indentation

Conditional Statements if..elif..else

Loops - for and while

Break, continue, pass


Study Material:

Operators 


Module 6

Mini-Project:5

Introduction to Collections

List

Array

Dictionary

Methods to insert(), get(), append(), delete()

sort(), reverse()


Study Material:

For Loop

If else if

Lists 

While Loop  


Module 7

Mini-Project:6

Tuples - immutable list

Sets - collection of distinct items (based on Sets in Math)

Methods to insert(), get(), append(), delete()

sort(), reverse()


Module 8

Mini-Project:7

Standard Functions

Anonymous or Lambda functions

Function arguments

Scope and indentation


Module 9

Mini-Project:8

Python Modules and Packages

Import modules and functions

Alias

Install packages with pip install

Datetime module


Module 10

Mini-Project:9

Exception handling with try..except..finally

Logging exception details

File handling open(), read(), write(), append(), close()


Module 11

Mini-Project:10

Object Oriented Programming in Python

Class and constructor

“self” parameter

Objects

Methods

JSON - Python object to JSON and vice versa


Module 12

Mini-Project:11

Abstract Data type

Data Structures - Stack, Queue, Linked List, Binary tree

Implement custom Stack, Queue, etc using Python classes

Algorithms - sort, search, etc


Module 13

Case Study and Final Project

Python Applications in following (* any one)

1. Intro to Data Analytics using Pandas, NumPy and SciPy

2. Create Web API with Flask

3. Python MongoDB/MySQL: Create database, Execute queries, CRUD operations

Team up for Career 4.0

JEDI Certification Program

These are tough times not just with the health scare, but also with the job market scenario. With unemployment rates at a record high in most parts of the world, it goes without saying that this is a period of Darwinian evolution in terms of future skill set and work. In that regard, we are bringing to the undergraduate students an opportunity to learn from the best mentors on the Industry 4.0 skills that will make one relatively more employable despite the recession.

JEDI (JAG’s Enterprising Developers and Innovators) and TechnologiX have teamed up and designed a certificate course that will train you in skills that we provide to our students who go to the best business schools in the world, and are also working in top global companies. But remember, a Certificate is no good if your learning is not; so, our focus will be on learning to provide you with employable skills.


This course will give you a foundation on:

Course -1: 

1. Python basics and competitive programing

2. C and Python, from a Coder’s perspective

3. Data visualization and Interpretation

4. HTML and React

5. Quantitative Aptitude

6. Interview Training (Basics)

Course Fee: Rs 12,000/- (Money-Back* 50%)


Course -2: (Add on, if you wish to sit for Consulting and Analytics roles like at Deloitte, Mu Sigma, etc)

1. Python basics and competitive programming

2. Data visualization and Interpretation 

3. C and Python, from a Coder’s perspective

4. Data analytics and the basics of data science

5. Basics of Blockchain and Machine Learning

6. HTML and React

7. Quantitative Aptitude

8. Interview Training (Basics)

Course Fee: Rs 16,000/- (Money-Back* 50%)


These courses are based on a 20-80 online-offline hybrid model, which may change if lockdown conditions continue. Any changes will be notified as and when they come up.


*MONEY BACK TERMS:

We trust the quality of our training, and also recognize that you would need as much help as possible in these times of job market slump. Hence, we will be more than happy to refund 50% of your tax deducted course fee under certain mutually acceptable conditions, primary among them are:

1. You do not get a job within 1 year of graduation despite attending at least 3 interviews of relevant roles

2. You must have attended at least 90% of all our sessions and tests

3. You must score at least 80% of the highest scorer of your class in the qualifying test (For example, if the highest scorer scores 50/100, you must get at least 40/100) OR Score at least 60/100 overall; whichever is higher.

4. In case you do not qualify in the first attempt, you may reappear for the test as per terms and conditions in 2 weeks.


As simple as that. You still get to keep the Certificate you earned.


REGISTER HERE

JEDI Training JAG

Click Here to Enroll

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