First Module

Front End Development

Front-end engineers work closely with designers to make websites beautiful, functional, and fast. This Career Path will teach you not only the necessary languages and technologies, but how to think like a front-end engineer, too. By the end, you’ll have the portfolio and interview skills you need to start for your new career.

  • Basics , HTML/CSS3 (layout, Typography, Responsive Design, Animation]
  • Workshop (Loading Animation Notification Bars, CSS3 Tabs, Parallax Section, Motion Typography, Power Point like presentation)
  • HTML5 (Geolocation, Local Storage, Web Storage, Canvas, WebGI).
  • .Bootstrap (Car Sales Website, Daraz, Stylo Shoes, Facebook type Website).
  • .JavaScript(Dom, Event, Ajax, Templating)
  • .React/Redux(Quiz App, To-dos App, Twitter App, Facebook Clone)
  • .Angular8 MEAN (Mean To-dos, My Weather, Movie Finder etc.)

Second Module

Back End Development

No matter what you’re building, having a strong foundation is crucial — that’s where back-end engineers come in. In this Career Path, you’ll start with programming servers and client-side interfaces, then level up to designing databases. By the end, you’ll have everything you need to start your career as a back-end engineer.

  • .Node.js/ Mongo DB (CURD App. Node Blog System E-Commerce App)
  • .Next.js /Redis (Code Splitting, Better SEO, performance etc)
  • .GraphQL(Social Media App, Integration of Apollo Client with React.js)
  • .Typescript (Express React Website, Board Application, etc.)
  • .C#6 (payroll system, Media player, Game, Security login system, etc.)
  • and SqlServer 2014(Dash Board Application and Data Entry System).
  • MVC6 and Bootstrap.
  • Tools
    • Github
    • Git
    • Visual Studio Code
    • Visual Studio
    • SQL Server
    • Andriod Studio
    • XCode
    • Postman
    • Babel
    • Webpack

Third Module

Mobile Apps Development

In this course, you’ll be introduced to the wonderful world of Android. You’ll find out why Android is such an awesome place to be developing apps. You’ll meet Android Studio—the Integrated Development Environment (IDE) for Android, and you’ll learn the fundamentals skills you need to build simple Android apps and run them on a real or simulated virtual device!

  • React Native(IOS Apps, Creating Calculator App, Tab Navigation, Barcode Scanner)
  • Full Ecommerce Project using React Native & AWS Amplify.
  • Flutter

Fourth Module

Development and Operations

DevOps is an application software development methodology. In order to streamline the process, DevOps brings together developers and the operations team. This helps drive productivity and collaboration by automating infrastructure and workflows as well as evaluating performance.

  • Dockers (Container Introduction, Installation, Custom Images, Docker Compose)
  • .Google Cloud (Authorization, Cloud Storage Overview, Instance Groups, Cloud SQL, Autoscaling, load balancing)
  • Kubernetes
  • .AWS Cloud Architecture
  • .AWS LAMDA AWS Storage(s3)
  • .AWS SES
  • .Microsoft Azure (Azure portals, Management tools)
  • .Digital Ocean

Fifth Module

DeskTop Application

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  • Programmers
  • Beginners C#
  • OOP concepts
  • SQL

Sixth Module

Machine Learning & Data Sciene

Python is the most popular programming language of the world - it's versatile, easy to learn and very powerful! We already got a Python course which you can take if you want to learn Python. But one of the primary things you can build with Python is a website! You can use Python for web development. In detail, this course covers: Python, Jupyter, Numpy, Pandas Git, Linux Terminal, File I/O Statistics, Probability, Linear Algebra Distributions, Sampling, Hypothesis Testing Databases, SQL, Index, Partition, Schema Web API, Scraping, Automation, Flask , EDA, Data wrangling, Feature Engineering Supervised & Unsupervised Models Ensembling Factor analysis Predictive Modeling & Forecasting Recommender system Keras, TensorFlow, PyTorch Keras, TensorFlow, PyTorch Neural Networks, Computer Vision, NLP Reinforcement Learning Research Papers in Deep Learning Warehouse - AWS S3, HDFS, HBase, NoSQL Ingestion - Kafka Analysis - PySpark, YARN, Airflow, Hive

  • Python Fundamentals
  • Python for Data Analysis
  • Python Functions Deep Dive
  • Python for Data Science
  • Data Cleaning
  • Data Visualizations
  • Feature Engineering
  • Data Processing
  • Linear Regression
  • Logistic Regression
  • Introduction to KNN, SVM, Naive Bayes
  • Tree Based Models
  • Boosting Models
  • Imbalanced Machine Learning
  • Introduction to Clustering Analysis
  • Dimensionality Reduction
  • Recommendation Engines
  • Time Series Forecasting