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
For more details call +91-9666019191
