Full Stack & AIML

Full-stack-developer-course-in-Nagpur
Program Overview
Key Highlights
  • 1400+ Hours of Learning
  • Designed for freshers and professionals
  • 15+ Case Studies and Assignments
  • 6 Practical Hands-on Capstone Projects
  • Live Coding Classes & Profile Building Workshops
  • No Cost EMI Options available
  • Dedicated Student Success Mentor
  • 3 Electives to customize your learning path
  • Learning management system
  • Daily Doubt Resolution Sessions
  • Career Mentorship Sessions(1:1)
  • High Performance Coaching(1:1)
  • Exclusive Job opportunities
  • AI Powered Profile Builder
  • Personalised Industry Session
  • Creation of portfolio website on Github to boost the learners’ career persona
Tool Covered for Full Stack & AIML
Python-img
Python
NumPy-img
NumPy
K-Keras-img
K Keras
Tensor-Flow-img
Tensor Flow
Matplotlib-img
Matplotlib
Scikit-Learn-img
Scikit Learn
Java-img
Java
Mysql-img
Mysql
Spring-img
Spring
Jupyter-img
Jupyter
Notepad++-img
Notepad++
Sublime-img
Sublime
PyCharm-img
PyCharm
Visual-Studio-Code-img
Visual Studio Code
Description
Full stack development is a combination of frontend and backend programming languages, wherein frontend languages includes html css java script and backend languages mainly involves with python and with the help of these languages a full stack web developer develops both client and server software and handle projects involving databases, designing user-facing websites etc. Artificial intelligence and Machine learning deals with the capability of machines to replicate human intelligence.
Skills You Will Learn
  1. HTML (Hypertext Markup Language)
  2. Advanced JavaScript
  3. Artificial Intelligence & Machine Learning
  4. Ajax ( Asynchronous JavaScript + XML )
Syllabus
Module 1 : HTML (Hypertext Markup Language)
  1. HTML Basic
  • What is Markup Language
  • Basic Structure of HTML
  • Meta Tags
  • Read More...
  1. HTML Elements
  • Basics, Elements , Attributes
  • Paragraphs and Formatting
  • HTML Skeleton, Links
  • Read More...
  1. Images
  • Optimizing web graphic JPEG GIF & PNG
  • Getting images from Photoshop
  • Embedding Images in a Web Page
  • Read More...
  1. Hyperlinks
  • Href, Name, Title, Target
  • Read More...
  1. Lists
  1. Div & Tables
  1. Form
  1. HTML5
Module 2 : CSS (Cascading Style Sheet)
  1. Understanding CSS
  • Versions of CSS
  • Types of CSS Rules
  • CSS and Markup Languages
  • Read More...
  1. CSS Basics
  • Adding Styles to an HTML Tag
  • Adding Styles to a Web Page and Web Site
  • Redefining an HTML Tag
  • Read More...
  1. Font Properties
  • Understanding Typography on the Web
  • Setting the Font Size
  • Making Text Italic and Setting Bold, Bolder, Boldest
  • Read More...
  1. Text Properties
  1. Color and Background Properties
  1. Box Properties
  1. CSS Border
  1. Positioning
  1. Floating
  1. Pseudo – elements and CSS classes
  1. CSS List
  1. CSS3
Module 3 : JavaScript (Client side Scripting Language)
  1. Introduction of JavaScript
  • What is JavaScript?
  • JavaScript and Markup
  • Languages JavaScript Syntax
  • Read More...
  1. JavaScript Output
  • window.alert
  • document.write
  • console.log
  • Read More...
  1. Statements and Comments
  1. Variables
  1. JavaScript Arrays
  1. JavaScript Objects
  1. Data types
  1. Operators
  1. Functions
  1. Conditional Statements and Loops
  1. JavaScript Dates
  1. HTML Events
  1. JavaScript Validation
Module 4 : Advanced JavaScript
  1. JavaScript Basics
  • Refreshing Basic JavaScript Concepts
  • Defining Functions
  • Arrays & Objects in JS
  • Read More...
  1. The DOM Objects
  • Introduction to DOM object
  • DOM Methods
  • Access & Modify HTML through DOM
  • Read More...
Module 5 : Ajax ( Asynchronous JavaScript + XML )
  1. AJAX with JavaScript
  • Why AJAX & How it works
  • Syntax (XMLHTTPRequest Object)
  • Sending Requests to server
  • Read More...
  1. jQuery AJAX
  • jQuery load
  • jQuery Get/Post
  • jQuery Ajax method
  • Read More...
  1. jQuery Introduction
  1. jQuery Syntax
  1. jQuery Selectors
  1. jQuery Events
  1. jQuery Effects
  1. jQuery HTML / CSS
  1. jQuery Misc
  1. jQuery Events
  1. jQuery Form
Module 6 : Bootstrap
  1. Bootstrap Introduction
  • What is Bootstrap?
  • What is Responsive Web design ?
  • Bootstrap 3 vs Bootstrap 4
  • Read More...
  1. How to Create a Layout in Bootstrap
  • Grid Classes
  • Read More...
  1. Basic Tags in Bootstrap
  • Typography
  • Contextual colors and backgrounds
  • Read More...
  1. Table in Bootstrap
  1. Images in Bootstrap
  1. Alerts in Bootstrap
  1. Navigation bar in Bootstrap
  1. Form in Bootstrap
  1. Buttons in Bootstrap
  1. Modal in Bootstrap
  1. Carousel in Bootstrap
Module 7 : Back End (Python)
Core Python programming
  1. Introduction
  • Why Python where to use it?
  • Features of Python
  • Domains where Python is used
  • Read More...
  1. Control Statements
  • Variables and Data Types
  • Debugging Python Programs using debugger in Pycharm
  • Taking User Input
  • Read More...
  1. Collections in Python
  1. User defined Functions
  1. Object Oriented Concepts
  1. Exception Handling in Python
  1. Modules and Packages
  1. Regular Expression
  1. Multithreading
  1. File Handling
  1. Database Handling
Module 8 : Tkinter GUI Framework–For Desktop based Application
  • Overview of Tkinter framework
  • Tkinter Button,Canvas
  • Entry,Label
  • Read More...
  1. Django Framework
  1. Django with MySQL Database
  1. Django with SQLite Database
  1. Django REST API(Restful Services)
Module 9 : Artificial Intelligence & Machine Learning
  1. Introduction to Python
  • Python Basics
  • Python Functions and Packages
  • Working with Data Structures, Arrays, Vectors & Data Frames
  • Read More...
  1. EDA and Data Processing
  1. Applied Statistics
Machine Learning
  1. Supervised learning
  2. Ensemble Techniques
  3. Unsupervised learning
  4. Featurisation, Model Selection & Tuning
  5. Recommendation Systems
Artificial Intelligence
  1. Introduction to Neural Networks and Deep Learning
  2. Computer Vision
  3. NLP (Natural Language Processing)
  4. Introduction to Reinforcement Learning (RL)
  5. Introduction to GANs (Generative Adversarial Networks)
  6. Additional Module
Duration - 6 Months
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