Web Technologies


Benefit of becoming a Web Technologist?

  • Web Technologist is a certification which provides complete knowledge of Web Technologies like HTML-4 + HTML-5, CSS-2 + CSS-3, JavaScript(Core+Advanced), JQuery, AJAX, PHP, MySQL , Python and Django.
  • One learns all languages to the extent that he / she can develop web based applications like E-Commerce site like Flipkart or Amazon, Face book-like social networking site and knowledge sharing sites like StackOverflow.com
  • Today a Web Technologist is a well respected professional in the fastest growing IT industry as a WEB Developer. As a fresher, a web developer can earn up to 4.5 LPA.

How will the Course benefit me?

  • Get in-depth knowledge of most popular Web language. Highest IT job market.
  • Undergo INTERNSHIP, developing an Ecommerce site like flipkart.com
  • Certificate mentioning Internship Project is Awarded to each participant.
  • If planning for MS, US universities look for students learning latest technologies to award research grants in the form of Tuition Fee waiver.
  • This course is called Level -1 Web Technologist.
  • PHP, JavaScript and Python are top 5 most popular languages worldwide !!
webtech



Web Technology (Level 1)

90 hours of Class room training + 2 Internship Project of 20 Hours

Module 1: Client Side Programming
(30 Hours)

Web Components
All HTML Tags
Most used HTML5 Tags
Java Script - Core
Java Script - Advanced
JQuery
CSS and CSS_3
AJAX programming

Module 2: Server Side Programming - PHP
(42 Hours)

PHP basic
PHP String functions
PHP.INI file
PHP Operators, Array and Loops
PHP Array Functions
PHP file Functions
PHP Session Management
MySQL DB(Core+OO) Connectivity

Module 3: Web Security Coding Practices


{Learning to ethically Hack}
See Course Content
(10 Hours)

Module 4: SEO

{Getting higher rank on Google}
See Course Content
(8 Hours)

Time Table of Web Technology (Level 1)

Course Web Technology (L1)  @ Thane/Dadar/Borivali
Batch Regular batch
Download time-table Download here
Fees (in Rs.) Web Technology (Level 1) : 11000 /-
{ **Includes Exam cost of SCTPL }

Download Section

A

Software Download

  1. notepad++ Download
  2. xampp Download
  3. wamp Download
  4. How to resolve port conflict w.r.t xampp server ? Download
  5. How to run helloworld.php file and test xampp ? Download
B

Practical assignment Book

  1. Download Practical assignment Book ( to be solved practically in class )
C

Download Codes for Front End Programming

  1. HTML5 Examples

  2. CSS3 Examples

  3. JavaScript Examples

  4. Form with captcha
D

Download Codes for BackEnd Programming ( PHP - MySQL- AJAX)

  1. Book 2 - Logic & Assignments
E

Internship Projects

  1. Add to Cart System Download
  2. News System Download
  3. Review System Download
  4. Library Management System Download
  5. Pagination Download
F

Additional {Recommended} Reading

1) Why is {full stack} Web Development most popular profession of 21st Century ? Download

2) Error Messages in FILES array of php - Explained Download

3) How to code popup window (using Javascript) ? Download

4) How to detect client browser in php ? Download

5) How to detect client browser(Using JavaScript) ? Download

6) Most 5 common ERRORS in HTTP ? Download

G

Mock Test

  1. Web Tech L1 Mock Test Download
H

Sample Resume Formats

  1. Resume format - 1 Download
  2. Resume format - 2 Download

Web Technology (Level 2) { has 3 Subjects }

Angular-Firebase with up to 4 weeks of Industry Internship

(8 days, 40 hours, Fee:5000, 5 hrs per session on weekends only @ Chembur)

[Download Syllabus]   [Download Time-Table]

Python(Core + Advanced) with up to 4 weeks of Industry Internship

(17 days, 50 hours, Fee:7000, 3 hrs per session @ Thane, Chembur and Borivali)

[Download Syllabus]   [Download Time-Table]

Node.js with MongoDB (with One Month Internship) Certification Course

(8 days, 40 hours, Fee:5000, 5 hrs per session on weekends only @ Chembur)

[Download Syllabus]   [Download Time-Table]


Python (Core + Advanced) with up to 4 weeks of Industry Internship

Python (Core + Advanced) with upto 4 weeks of Industry Internship

Python is a general purpose programming language. Created nearly 30 years ago, it is now one of the most popular language according to the Stackoverflow rankings. Its popularity is particularly important in the data science and machine learning fields. But it is also a language easy to learn, this explains why it has become the language the most taught in universities.

What is python used for ?
  1. Web Development, using the frameworks Django, Flask, Pylons
  2. Data Science and Visualization using Numpy, Pandas and Matplotlib
  3. Machine learning with Tensorflow and Scikit-learn
  4. Desktop applications with PyQt, Gtk, wxWidgets and many more
  5. Mobile applications using Kivy or BeeWare
  6. Education: Python is a great language to learn programming!

    Course Highlights:

  •  17 sessions of 3 hrs each covering 3 major sections of generic python programming namely Core, Routine Business Task automation, Advanced.

  •  The course does not* focus on "Python for Data Science", as this makes the learner in-competent for many interviews. (*Python for Data Science is covered under "Machine Learning course" module)

  •  Each participant can do a 2 weeks of Online Internship on problem statements submitted by IT professionals working at Morgan Stanley, Accenture and NeoSoft.

Fee (only for Python) : INR 7000/-

17 sessions, 50 hrs, 3 hrs per session @ Chembur, Dadar, Thane, Borivali

Batch Angular-Firebase Python (Core + Advanced) Node.js-MongoDB Data Analytics Using R
Duration 40 hours 50 hours 36 hours 36 hours
Timing & Dates Click Here Click Here Click Here Click Here
Fees (in Rs.) 5000 /- 7000 /- 5000 /- 5000 /-
Interview dates Immediately after Completion of Respective Placement Track

Download Section

Course Download

  1. Syllabus Download

  2. Download Jupyter notebooks and all resources from datascience.suven.net > python section

Trending Python AI & ML projects


Machine Learning Project in Python on House Prices Data


The data set for this project has been taken from Kaggle's Housing Data Set Knowledge Competition. This project aims at predicting house prices (residential) in Ames, Iowa, USA. I believe this problem statement is quite self-explanatory and doesn't need more explanation.  full project detials + code here

Twitter sentimental Analysis using Machine Learning


In this Machine learning project, we will attempt to conduct sentiment analysis on “tweets” using various different machine learning algorithms. We attempt to classify the polarity of the tweet where it is either positive or negative. If the tweet has both positive and negative elements, the more dominant sentiment should be picked as the final label. We use the dataset from Kaggle which was crawled and labelled positive/negative. The data provided comes with emoticons, usernames and hashtags which are required to be processed and converted into a standard form. It also need to extract useful features from the text such unigrams and bigrams which is a form of representation of the “tweet”. We use various machine learning algorithms to conduct sentiment analysis using the extracted features. However, just relying on individual models did not give a high accuracy so we pick the top few models to generate a model.

Fake News Detection using Machine Learning


This Project comes up with the applications of NLP (Natural Language Processing) techniques for detecting the ‘fake news’, that is, misleading news stories that comes from the non-reputable sources. Only by building a model based on a count vectorizer (using word tallies) or a (Term Frequency Inverse Document Frequency) tfidf matrix, (word tallies relative to how often they’re used in other articles in your dataset) can only get you so far. But these models do not consider the important qualities like word ordering and context. It is very possible that two articles that are similar in their word count will be completely different in their meaning. The data science community has responded by taking actions against the problem. There is a Kaggle competition called as the “Fake News Challenge” and Facebook is employing AI to filter fake news stories out of users’ feeds. Combatting the fake news is a classic text classification project with a straight forward proposition. Is it possible for you to build a model that can differentiate between “Real “news and “Fake” news? So a proposed work on assembling a dataset of both fake and real news and employ a Naive Bayes classifier in order to create a model to classify an article into fake or real based on its words and phrases.

Road Trip Analysis using Machine learning


The accurate and reliable Trip-generation Forecasting Model is the most basic and important part of the traffic forecasting model. This project focuses on genetic algorithm which has an excellent Global search capability with trip-generation forecasting model in order to achieve the purpose of improving the accuracy of prediction. One of the difficulty in planning a road trip is deciding where to stop along the way. "India" is large and diverse, it’s especially hard to make a road trip that will appeal to everyone.The proposed system should satisfy the path constraints which should meet the drivers’ preferences as well as the alternative path constraints and limit the joint failure probability for candidate paths.

Road Accident Analysis using Machine Learning


There are many inventories in in automobile industries to design and build safety measures for automobiles, but traffic accidents are unavoidable. There is a huge number of accidents prevailing in all urban and rural areas. Patterns involved with different circumstances can be detected by developing an accurate prediction models which will be capable of automatic separation of various accidental scenarios. These cluster will be useful to prevent accidents and develop safety measures. We believe to acquire maximum possibilities of accident reduction using low budget resources by using some scientific measures.

Gaming Agent AI


Methods in the domain of artificial intelligence (AI) have been applied to develop agents capable of playing a variety of games. Snake game is a computer game, whose goal is to control a snake to move and collect foods in the map. The single-player variant of Snake is a well-known and popular video game that requires a player to navigate a line-based representation of a snake through a two-dimensional playing area, while avoiding collisions with the walls of the playing area and the body of the snake itself. A score and the snake length are increased whenever the snake is moved through items representing food. The game thus becomes more challenging as the score increases. The application of AI techniques to playing the game of Snake has not been very well explored. In this project we work on techniques which are empirically compared against three Snake playing agents in terms of several performance measures(GREEDY, Hamilton, and DQN).

Build an App to find Cheap Airfares


In this project, we intend to do the following; Sourcing Airfare Pricing data from some popular websites like makemytrip.com , tripadvisor.com , etc. Retrieving the fare data with advanced web scrapping techniques. Then Parsing the DOM to extract pricing data. Applying suitable ML algos to intelligently choose the best from all. And lastly, sending real-time alerts using IFTTT to registered clients. This project is combination of Web Application using ML algorithms. This project is greatly used by all tour booking web-apps and web-sites.

Object Detection with Deep Learning


Deep Neural Networks (DNNs) have recently shown outstanding performance on image classification tasks . In this project we go one step further and address the problem of object detection using DNNs, that is not only classifying but also precisely localizing objects of various classes. We present a simple and yet powerful formulation of object detection as a regression problem to object bounding box masks. We define a multi-scale inference procedure which is able to produce high-resolution object detections at a low cost by a few network applications.

Forecast the IPO Market using Logistic Regression


In the late 1990's, getting in on the right IPO was like winning the lottery. First day returns for some technology companies were many times their initial offering price. If you were lucky enough to get in an allocation, you were in for a windfall. While the days of dotcom mania are far behind us, IPOs can still have outsized first-day returns. As you can see, this is still a market worth paying attention to, in years 2019 .. 2021. In this project, We'll see how we can use machine learning to help us decide which IPOs are worth a closer look and which ones we may want to take a pass on.

Lane Detection


In order to improve accuracy and robustness of the lane detection in complex conditions, such as the shadows and illumination changing, a novel detection algorithm was proposed based on machine learning. After pretreatment, a set of haar-like filters were used to calculate the eigenvalue in the gray image f(x,y) and edge e(x,y). Then these features were trained by using improved boosting algorithm and the final class function g(x) was obtained, which was used to judge whether the point x belonging to the lane or not. To avoid the over fitting in traditional boosting, Fisher discriminant analysis was used to initialize the weights of samples. After testing by many road in all conditions, it showed that this algorithm had good robustness and real-time to recognize the lane in all challenging conditions.



Kind Note : Our team has compiled the problem definition & project abstract to help the student community. We expect each one {surfing this web page} to appreciate and respect our time. Any coding help or debugging would come at a cost.

Feel free to mail your queries at rocky@suvenconsultants.com or whats-app : Rocky Sir at 9892544177

We have lots of Android, Angular, Node.js , python project ideas too. Our team would be happy to work out with you in your project implementation.


Angular and Firebase

Angular and Firebase (for Responsive design & Hybrid App-Dev)

bootstrap
  • What is Bootstrap?
    Bootstrap is a front-end framework. It includes HTML-CSS based design templates for typography, forms, buttons, tables, navigation, modals, image carousels and many other, as well as optional JavaScript plugins.


angular

  • What is Angular?
    Angular is a platform used for building web applications. Angular combines declarative templates, dependency injection, end to end tooling, and integrated best practices to solve development challenges. Angular empowers developers to build applications that live on the web, mobile, or the desktop.


firebase
  • What is Firebase?
    Firebase is essentially a real time database. The data appears as JSON files and allows real time changes to occur on the connected client side. When you build cross-platform apps using iOS, Android, JavaScript SDKs, your clients end up getting all the data that was updated.

8 days, 40 hrs, 5 hrs per session on weekends only @ Chembur

Batch Angular-Firebase Python (Core + Advanced) Node.js-MongoDB Data Analytics Using R
Duration 40 hours 42 hours 36 hours 36 hours
Timing & Dates Click Here
Fees (in Rs.) 5000 /- 7000 /- 4000 /- 4000 /-
Interview dates Immediately after Completion of Respective Placement Track

Download Section

Course Download

  1. Node.js Download Download

  2. Visual Studio Code Download Download

  3. Syllabus Download

  4. Bootstrap Notes & Project Download

  5. Bootstrap Workspace

  6. Pre-read eBook on Angular Download

  7. Angular Project Specification Download

  8. Angular ebook


Professional Django Development

Python backend with Django Framework { pre-requisite: should know Python(Core + Advanced) }

pydj

  • What is Django?

    Django is a free and open source web application framework, written in Python. A web framework is a set of components that helps you to develop websites faster and easier. When you're building a website, you always need a similar set of components: a way to handle user authentication (signing up, signing in, signing out), a management panel for your website, forms, a way to upload files, etc.

    Luckily for you, other people long ago noticed that web developers face similar problems when building a new site, so they teamed up and created frameworks (Django being one of them) that give you ready-made components to use. Frameworks exist to save you from having to reinvent the wheel and to help alleviate some of the overhead when you’re building a new site.


compaines

  • When Is Django Development the Right Choice ?

    While the practical applications of Django are countless, one needs to understand when this framework can serve the best.

    Django is the best choice if:

    • the client needs an API back-end or web app;
    • the minimum viable product should be delivered fast, changed and maintained accordingly;
    • an app should be secure by default;
    • a huge degree of scalability is expected;
    • a client wants to integrate cutting-edge technology in the future (i.e. machine learning)
    • you need an open-source technology with both support and proper documentation.

36 hours, 4 full days, 8-9 hours per day, Sat-Sun Week-end batch only

Batch Angular-Firebase Python (Core + Advanced) Node.js-MongoDB Professional Django Data Analytics Using R
Duration 40 hours 42 hours 36 hours 40 hours 36 hours
Timing & Dates Click Here
Fees (in Rs.) 5000 /- 7000 /- 4000 /- 6000 /- 4000 /-
Interview dates Immediately after Completion of Respective Placement Track

Download Section

Course Download

  1. Syllabus Download


Node.js with MongoDB Certification

Node.js with MongoDB Certification { pre-requisite: should know JavaScript well }

nodejs
  • What is Node.js?
    Node.js is an open-source, cross-platform JavaScript run-time environment that executes JavaScript code outside the browser. Historically, JavaScript was used primarily for client-side scripting, in which scripts written in JavaScript are embedded in a webpage's HTML and run client-side by a JavaScript engine in the user's web browser.

mongodb
  • What is MongoDB ?
    MongoDB is a document database with the scalability and flexibility that you want with the querying and indexing that you need. MongoDB stores data in flexible, JSON-like documents, meaning fields can vary from document to document and data structure can be changed over time

36 hours, 4 full days, 8-9 hours per day, Sat-Sun Week-end batch only

Batch Angular-Firebase Python (Core + Advanced) Node.js-MongoDB Data Analytics Using R
Duration 40 hours 42 hours 36 hours 36 hours
Timing & Dates Click Here
Fees (in Rs.) 5000 /- 7000 /- 4000 /- 4000 /-
Interview dates Immediately after Completion of Respective Placement Track

Download Section

Course Download

  1. Syllabus Download


Freshers

Apply Here