Python Programming Certification Course

Course ID

Department

Software Development

Level

Advanced

Method

Lecture + Project + Internship

Duration

Full-Time (4 Months), Part-Time (6 Months)

Study Modes

Classroom, Live Online

Python Developer

Elevate your career with our Python Certification Course at the American School of Emerging Technology (ASET) and become a certified Python professional!

Enroll in our comprehensive Python course, designed to enhance your expertise in Python programming and prepare you for complex development tasks.
Develop advanced skills in Python, including object-oriented programming, data manipulation, multithreading, and web development.
Gain hands-on experience through real-world projects, coding challenges, and case studies.
Benefit from personalized mentoring, career guidance, and job placement support to achieve your career goals.

Pick your course mode

Course Fees

Python Programming

Table of Contents

$1,200

$1,800

Duration: 10 weeks
Intake: 1st Day of Every Month
Teaching Hours: 20 hours
Lab Hours: 20 hours
Practice Hours(Optional): 40 hours
Resource: Assignments, Quizzes

$1,200 Apply Online $1,800 Apply Classroom

Job Roles After Completing the Course

Upon completing the Advanced Python Course at the American School of Emerging Technology (ASET), you will be equipped to excel in a variety of roles within the tech industry. Here are six potential job roles you can pursue, along with their key highlights:

Python DeveloperSpecialize in building and maintaining robust Python applications for web development, data processing, and automation.
Backend DeveloperFocus on server-side application logic, API integrations, and database management using Python frameworks like Django and Flask.
Automation EngineerStreamline workflows by creating scripts and tools for process automation using Python.
DevOps EngineerImplement continuous integration/continuous deployment (CI/CD) pipelines, infrastructure management, and containerization with Python tools like Ansible and Docker.
Machine Learning EngineerDevelop and deploy machine learning algorithms and frameworks using Python libraries such as TensorFlow, Scikit-learn, and PyTorch.
Data ScientistUtilize Python for data analysis, visualization, and building machine learning models to derive actionable insights from data.

Learning Objectives

By the end of this course, you will:

Master advanced Python programming concepts, including object-oriented programming (OOP), decorators, and context managers.
Develop expertise in data analysis using Python libraries like NumPy, Pandas, and Matplotlib.
Implement machine learning models with Python tools such as TensorFlow, Keras, and Scikit-learn.
Gain proficiency in web development with Python frameworks like Django and Flask to build powerful back-end APIs and web applications.
Work with databases (SQL and NoSQL) and learn how to manage data efficiently using Python's database libraries.
Deploy Python applications on cloud platforms like AWS, Azure, or Google Cloud.

Course Introduction

The Python Developer Course at ASET is your gateway to mastering the full potential of Python programming. This course offers a comprehensive curriculum that combines theoretical knowledge with practical, hands-on coding experience.

Comprehensive Curriculum Dive deep into advanced Python concepts, including object-oriented programming (OOP), data analysis, machine learning, web development with frameworks like Django and Flask, and much more.
Hands-on Projects Work on real-world applications, from data processing and automation scripts to machine learning models and web applications.
Expert Instructors Learn from industry professionals who bring years of practical experience in Python development.
Career Support Benefit from personalized mentorship, resume building, and interview preparation to secure your dream job in the tech industry.

Join us at ASET to become a proficient Python developer, ready to take on complex challenges and excel in your career!

This should provide a clear and organized structure for your course outline. If you need any more help or adjustments, feel free to let me know!

Introduction to Python

History of Python
Installing Python
Running Python Programs
Python IDEs

Basic Python Syntax

Variables and Data Types
Basic Operators
Control Flow (if, else, elif)
Loops (for, while)

Functions

Defining Functions
Function Arguments
Return Values
Lambda Functions

Data Structures

Lists
Tuples
Dictionaries
Sets

Modules and Packages

Importing Modules
Standard Library Modules
Creating Packages

File Handling

Reading Files
Writing Files
Working with CSV Files
Handling Exceptions

Object-Oriented Programming

Classes and Objects
Inheritance
Polymorphism
Encapsulation

Advanced Data Structures

Collections Module
Named Tuples
Deques
Counters
OrderedDict

Advanced Functions

Closures
Decorators
Partial Functions
Higher-Order Functions
Function Annotations

Iterators and Generators

Iterator Protocol
Creating Iterators
Generator Functions
Generator Expressions
itertools Module

Metaprogramming

Introspection
Metaclasses
Dynamic Class Creation
Monkey Patching

Concurrency and Parallelism

Threading
Multiprocessing
Asyncio
Concurrent.futures
GIL (Global Interpreter Lock)

Networking

Sockets
HTTP Requests with Requests Library
WebSockets
Asynchronous Networking with Asyncio

Advanced Object-Oriented Programming

Abstract Base Classes
Multiple Inheritance
MRO (Method Resolution Order)
Property Decorators
Slots

Working with Databases

SQLAlchemy
ORM (Object-Relational Mapping)
NoSQL Databases (e.g., MongoDB)
Database Transactions

Advanced File Handling

Working with Binary Files
Memory-Mapped Files
File Compression (gzip, zipfile)
Parsing XML and JSON

Please note the course curriculum is updated regularly to reflect changes in the CISA exam content and industry standards. Students will receive the finalized curriculum during the course induction.

What You'll Get

The Python Developer Course at American School of Emerging Technology (ASET) offers an industry-aligned curriculum designed to elevate your Python programming skills. Here’s what you’ll experience through a blend of videos, live sessions, case studies, and hands-on projects:

Coding Exercises

Practice essential Python skills through focused exercises, from advanced data structures to machine learning algorithms, strengthening your coding technique and problem-solving ability.

Assignments

Take on real-world challenges that reinforce your learning, allowing you to apply advanced Python concepts to real-life scenarios like web scraping, data processing, and API development.

Quizzes

Test your knowledge with engaging quizzes, track your progress, and identify areas where you can improve, ensuring a comprehensive understanding of complex Python concepts.

Capstone Project

At the end of the course, showcase everything you’ve learned in a comprehensive capstone project. Whether it’s building a web application or developing a machine learning model, this final project will highlight your creativity and technical expertise.

Group Activities

Collaborate with peers in interactive group tasks, building teamwork, enhancing communication skills, and tackling problems together in practical, real-world contexts.

Presentations

Gain confidence in presenting your work to technical and non-technical audiences, enhancing your ability to communicate complex Python concepts and solutions clearly and effectively.

Tools and Technologies

What tools and technologies will you learn during the course?

WHY CHOOSE ASET

How Do We Support Your Path to a Guaranteed Job?

Student Evaluation

Customized review based on your academic background.

Personalized Planning

SWOT analysis and behavior sessions to align with your strengths.

Skills Training

Industry-focused sessions to build both technical and soft skills.

Interview Prep

Practice assessments, project evaluations, and mock interviews.

Career Preparation

Training for group discussions and job interview consultation.

Job Placement Support

Assistance through the interview process with job offer opportunities.

Job Roles After Completing the Course

Upon completing the Python Developer course, you will be equipped with the advanced skills needed for various high-demand job roles in the tech industry. Here are some potential job roles and brief descriptions:

Python

Data

Machine

Python

Automation

Software

Python Developer

Design, develop, and maintain complex Python applications across various domains, such as data science, web development, and automation. Leverage your knowledge of libraries like Pandas, Flask, and Django to build scalable solutions.

Data Scientist

Utilize Python’s extensive data analysis libraries (such as Pandas, NumPy, and Matplotlib) to collect, clean, and analyze large datasets. Develop statistical models and machine learning algorithms to derive actionable insights and predictions.

Machine Learning Engineer

Specialize in implementing and optimizing machine learning algorithms and models using Python. Work with tools like TensorFlow, Keras, and Scikit-learn to build intelligent systems capable of learning from data.

Python Web Developer

Use Python frameworks like Django and Flask to develop dynamic, data-driven web applications. Focus on back-end development, working with databases, APIs, and web services to create responsive and scalable web solutions.

Automation Engineer

Develop automated solutions to improve the efficiency of business operations. Use Python for writing scripts and bots that automate repetitive tasks, enhance testing processes, and optimize workflows.

Software Engineer

Design, develop, and maintain Python-based software applications. Work on a variety of projects, from desktop applications to cloud services, ensuring software solutions meet client needs and industry standards.

Have a Question?

Please fill out the inquiry form and schedule a call with one of the ASET Student Advisors.
You can meet with an advisor in a video call to discuss your questions.

Talk To ASET Student Advisors

Common Queries About the Course

Frequently Asked Questions

Who Can Attend This Course?

Anyone with a basic understanding of programming and a strong interest in Python programming, data science, or automation can attend this course. It’s suitable for beginners looking to level up their Python skills, as well as professionals aiming to specialize in advanced Python applications.

For What Types Of Jobs Can This Course Prepare Me For?

This course prepares you for various roles such as Python Developer, Data Scientist, Machine Learning Engineer, Web Developer, Automation Engineer, and DevOps Engineer.

What Is The Best Way To Find Out If This Program Is Right For Me?

The best way to determine if this program is right for you is to review the course outline, attend an information session, or schedule a call with one of our ASET Student Advisors. They’ll provide detailed information on the course structure and career opportunities.

What Are The Payment Options You Offer?

We offer multiple payment options including full payment, installment plans, and financing options. Please contact our admissions team for detailed information.

What Will I Learn In This Program?

You will master advanced Python skills including object-oriented programming, data analysis with Pandas, web development with Django and Flask, machine learning with Scikit-learn, and automation scripting. You’ll also learn how to work with APIs, databases, and integrate Python with modern development tools.

Why is Python a Good Career Path?

Python is one of the most in-demand programming languages, known for its versatility in fields like data science, web development, machine learning, and automation. With Python, you can pursue various career paths and enjoy high job stability and growth.

What Are The Prerequisites For Enrollment?

A basic understanding of programming concepts is recommended. While prior knowledge of Python is not mandatory, familiarity with basic programming concepts (such as variables, loops, and functions) will help you succeed in the course.

Is Python Development a Good Career Path?

Yes, Python development offers numerous career opportunities with competitive salaries. The language is widely used in data science, web development, and automation, making it a versatile skill in high demand across industries.

How Much Do Python Developers Make?

Salaries for Python developers vary depending on experience and location, but they generally range from $70,000 to $120,000 per year in the USA. Specialized roles like data scientists or machine learning engineers can earn even higher salaries.

What Is Python Used For?

Python is used for various applications including web development (with frameworks like Django and Flask), data analysis (using Pandas and NumPy), machine learning (with libraries like Scikit-learn and TensorFlow), and automation scripting.

Is An Advanced Python Bootcamp Worth It?

Yes, an Advanced Python Bootcamp is worth it if you want to quickly enhance your Python skills and apply them in real-world projects. The hands-on, project-based approach will provide you with practical experience to boost your career.

What is Required to Become a Python Developer?

To become a Python developer, you need to learn core Python programming, web development, data science, or automation, depending on your career path. Understanding frameworks, libraries, and best practices is essential for excelling in the field.

What Are Python Developer Tools?

Python developers use various tools such as IDEs like PyCharm and VS Code, version control systems like Git, virtual environments, data analysis tools like Pandas and NumPy, web frameworks like Django and Flask, and automation tools like Selenium.

What Are Python Developer Skills?

Key skills include proficiency in Python programming, understanding data structures, working with databases, web frameworks (Django, Flask), machine learning, APIs, and the ability to work with automation tools and cloud services.

What Is Python Used For in Data Science?

Python is widely used in data science for data manipulation, analysis, and visualization. Libraries like Pandas, NumPy, Matplotlib, and Seaborn are commonly used for cleaning, analyzing, and visualizing large datasets.

What Languages Does A Python Developer Know?

While Python is the core language, a Python developer typically knows other languages and technologies including JavaScript (for web development), SQL (for database queries), and tools for data processing and machine learning.