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Python Full Stack with Django and AWS Cloudsoft Solutions

Python Full Stack with React.js and AWS at Cloudsoft offers several advantages, especially considering the blend of technologies that are highly in demand today. Here’s why it’s a great choice:

1. Comprehensive Full Stack Knowledge

  • Python Backend: You’ll master Django (or Flask) for back-end development, which is known for its simplicity, scalability, and ability to integrate seamlessly with various databases.
  • React.js Frontend: Learn React.js, one of the most popular JavaScript libraries for building dynamic user interfaces, providing faster and more responsive web applications.
  • You will become proficient in full-stack development, managing both the frontend and backend with modern technologies.

2. AWS Integration

  • Cloud Deployment and Management: You’ll gain hands-on experience with AWS services like EC2, S3, RDS, Lambda, and API Gateway, crucial for deploying full-stack applications in a cloud environment.
  • Learn how to manage cloud resources, build scalable applications, and set up cloud infrastructure using industry-leading AWS services.
  • AWS skills are in high demand for DevOps and cloud engineer roles, which can significantly increase your job opportunities.

3. Increased Employability

  • In-Demand Skillset: Full-stack development using Python, React.js, and AWS is one of the most sought-after combinations in the market, opening up job opportunities in software development, DevOps, and cloud engineering.
  • Mastering both client-side and server-side technologies makes you versatile, enhancing your career prospects.
  • With the rise of cloud-native applications, the combination of React.js and AWS expertise makes you highly attractive to employers.

4. Hands-on Projects and Real-world Scenarios

  • You will work on real-world projects that simulate industry scenarios, ensuring you are prepared for the demands of the job market.
  • These projects will allow you to showcase your skills on platforms like GitHub or LinkedIn, enhancing your portfolio.

5. Cloudsoft’s Placement Support

  • Placement Assistance: Cloudsoft has a proven track record of 5000+ placements, offering support through resume building, mock interviews, and connecting students with hiring companies.
  • You benefit from their extensive network of recruiters and industry connections, boosting your chances of landing a job post-course.

6. Flexible Learning Approach

  • Cloudsoft offers flexible learning schedules with weekend or weekday batches, accommodating working professionals or students.
  • Experienced instructors with 15+ years in the field (e.g., Sreekanth) provide industry-relevant guidance.

7. Certifications and Recognition

  • On completion, you receive certification from Cloudsoft, recognized by many companies, making you more credible in the job market.
  • Certification in AWS skills is highly regarded, particularly when backed by practical experience.

8. Competitive Pricing

  • Cloudsoft offers a cost-effective training program compared to many competitors, providing great value given the depth and breadth of the course.

Course Content:

Module 1: Introduction to Python

  • Overview of Python Programming Language
  • Python Installation and Setup (Windows/Linux/Mac)
  • Python IDEs (PyCharm, VS Code, Jupyter Notebook)
  • Writing and Executing Python Scripts
  • Python Syntax and Semantics
  • Understanding the Python Interpreter
  • Variables, Constants, and Data Types
  • Input and Output Operations

Module 2: Control Structures

  • Conditional Statements (if, else, elif)
  • Loops (for, while)
  • Break, Continue, and Pass Statements
  • Nested Loops and Control Flow

Module 3: Functions

  • Defining and Calling Functions
  • Function Parameters and Return Values
  • Default Arguments and Keyword Arguments
  • Variable Scope and Lifetime
  • Recursion
  • Lambda Functions

Module 4: Python Data Structures

  • Lists
    • Creating, Indexing, and Slicing Lists
    • List Methods and Functions
    • List Comprehension
  • Tuples
    • Creating and Using Tuples
    • Tuple Methods
  • Dictionaries
    • Creating Dictionaries
    • Accessing, Adding, Updating, and Removing Dictionary Elements
  • Sets
    • Creating and Manipulating Sets
    • Set Operations (Union, Intersection, Difference)

Module 5: File Handling

  • Opening and Closing Files
  • Reading and Writing to Files
  • Working with File Pointers
  • File Modes (Read, Write, Append)
  • Handling Exceptions in File Operations

Module 6: Exception Handling

  • Understanding Exceptions
  • Try, Except, Finally Block
  • Raising Exceptions
  • Custom Exceptions
  • Debugging Python Scripts

Module 7: Object-Oriented Programming (OOP) in Python

  • Introduction to OOP Concepts
  • Creating Classes and Objects
  • Class Constructors
  • Understanding self and init methods
  • Class Variables and Instance Variables
  • Inheritance (Single, Multiple)
  • Polymorphism
  • Encapsulation and Abstraction

Module 8: Modules and Packages

  • Importing and Using Modules
  • Creating Custom Modules
  • Python Standard Libraries (os, sys, math, datetime)
  • Working with Packages
  • Understanding __name__ == ‘__main__’

Module 9: Working with Databases

  • Introduction to Database Programming
  • Connecting Python to Databases (SQLite, MySQL, PostgreSQL)
  • Executing Queries
  • Reading and Writing Data from Databases
  • Using ORM (Object Relational Mapping)

Module 10: Advanced Topics

  • Regular Expressions
    • Searching, Matching, and Substitution
    • Working with re module
  • Decorators
  • Generators and Iterators
  • Comprehensions (List, Dictionary, Set)
  • Multithreading and Multiprocessing

Module 11: Web Scraping with Python

  • Introduction to Web Scraping
  • Working with Libraries (BeautifulSoup, requests)
  • Parsing HTML and XML Files
  • Extracting Data from Web Pages
  • Handling AJAX and Dynamic Web Pages

Module 12: Working with APIs

  • Understanding APIs
  • Making HTTP Requests using requests library
  • Working with JSON Data
  • Consuming REST APIs with Python

Module 13: Testing and Debugging

  • Writing Unit Tests
  • Using Python’s unittest module
  • Debugging Techniques
  • Using Debuggers (pdb)

Module 14: Python Scripting for Automation

  • Automating File Handling Tasks
  • Automating Data Analysis (Pandas, NumPy)
  • Automating System Tasks (os, subprocess)
  • Scheduling Scripts (Cron, Task Scheduler)

Module 15: Introduction to Web Development

  • Overview of full-stack development
  • Understanding the front-end and back-end architecture
  • Introduction to Python, React.js, and Django
  • Setting up the development environment (VS Code, Git)

Module 16: HTML, CSS, and JavaScript Basics

  • HTML5:
    • Semantic elements
    • Forms and validations
    • Media handling (images, video)
  • CSS3:
    • Box model, Flexbox, Grid layout
    • Responsive design (media queries)
    • Animations and transitions
  • JavaScript:
    • ES6+ features (let, const, arrow functions, promises, async/await)
    • DOM manipulation
    • Event handling and browser APIs

Module 17: React.js for Front-End Development

  • Introduction to React:
    • React components and JSX
    • Props, state, and lifecycle methods
    • Functional components and hooks (useState, useEffect)
  • React Router:
    • Single-page applications (SPA)
    • Routing and navigation
  • State Management:
    • Context API
    • Introduction to Redux (optional)
  • Advanced Topics:
    • Forms and validations
    • Axios for API integration
    • Error boundaries and performance optimization
    • Deploying React applications

Module 18: Python and Django for Back-End Development

  • Python Fundamentals:
    • Core Python (data types, loops, functions)
    • Object-oriented programming (OOP) in Python
    • Working with virtual environments and pip
  • Django Framework:
    • Introduction to Django and MVT architecture
    • Setting up a Django project
    • Django apps, URLs, views, and templates
    • Models and migrations (ORM)
    • Working with forms, validations, and messages
    • Authentication and authorization (user registration, login)
    • Django Admin interface
  • APIs with Django:
    • Introduction to Django Rest Framework (DRF)
    • Building RESTful APIs
    • Serializers, viewsets, routers
    • Authentication and permissions in DRF
  • Django Deployment:
    • Deploying Django apps to production (Heroku, AWS EC2)
    • Best practices for scaling Django applications

Module 19: Working with Databases

  • Relational Databases:
    • PostgreSQL/MySQL database setup and configuration
    • Django ORM queries
    • Database relationships (one-to-one, one-to-many, many-to-many)
  • NoSQL Databases (Optional):
    • Introduction to MongoDB
    • Working with Django and NoSQL

Module 6: AWS Cloud Services for Full Stack Development

  • AWS Fundamentals:
    • Overview of cloud computing and AWS
    • Setting up an AWS account
    • Introduction to AWS IAM, S3, EC2, RDS
  • AWS S3:
    • Storing and retrieving static files
    • Integrating S3 with Django
  • AWS EC2:
    • Launching EC2 instances
    • Configuring security groups and key pairs
    • Deploying Django applications on EC2
  • AWS RDS:
    • Setting up RDS with PostgreSQL/MySQL
    • Connecting Django to RDS for database management
  • AWS Elastic Beanstalk (Optional):
    • Deploying full-stack applications on AWS Elastic Beanstalk
  • AWS Lambda (Optional):
    • Building serverless functions
    • Integrating Lambda with S3 and API Gateway

Module 20: Front-End and Back-End Integration

  • REST APIs with Django and React:
    • Connecting React front-end to Django back-end
    • Axios/Fetch API for HTTP requests
    • Handling CORS issues
    • CRUD operations through API integration
  • JWT Authentication:
    • Implementing JSON Web Tokens (JWT) in Django
    • Protecting routes in React using JWT

Module 8: Testing and Debugging

  • Front-End Testing:
    • Unit testing in React (Jest, React Testing Library)
    • Snapshot testing
  • Back-End Testing:
    • Unit and integration tests in Django
    • Testing APIs with Postman and Django tests
  • End-to-End Testing:
    • Introduction to tools like Cypress for full-stack testing
  • Debugging Tools:
    • Using browser DevTools for front-end debugging
    • Debugging Django applications

Module 21: Version Control and CI/CD

  • Git and GitHub:
    • Git basics (clone, commit, push, pull)
    • Branching, merging, and pull requests
  • CI/CD Pipeline:
    • Introduction to CI/CD concepts
    • Setting up CI/CD with GitHub Actions or Jenkins
    • Automating deployments to AWS

Module 22: Final Project

  • Capstone Project:
    • Building a full-stack web application using React, Django, and AWS
    • Integrating front-end and back-end with APIs
    • Deploying the application on AWS

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