Python Developer Certificate (Self-Paced)

Self-paced online training with expert support Certificate with 7 courses

Build the skills to become a Python Developer, moving from programming fundamentals through web development with Django and the Django REST framework. You'll put together a portfolio of projects with guidance from expert instructors while getting comfortable with back-end web development.

$3,995 90 clock hours Live Support Start anytime

This program includes

  • 90 hours of project-based training from experts
  • 229 training videos
  • Software Access
  • 2 additional elective courses
  • Answers from real instructors
  • Retake for free within 1 year
  • Access to class recordings (30 days)
  • Verified digital certificate of completion
  • Licensed by NYS Department of Education

Start your path toward becoming a Python Developer with this comprehensive program. You'll build expertise in Python programming, web development with Django, and working with APIs using Django REST, setting you up for roles in back-end development and software engineering.

  • Become a Python Developer: This certificate program covers Python programming for software development, including frameworks like Django and Django REST. You'll also gain experience with tools such as Git and SQL to get ready for roles like Python Developer, Back-End Developer, or Software Engineer.
  • Learn Programming Fundamentals: Get a firm grip on Python basics, including data types, dictionaries, functions, and sorting algorithms. Move on to object-oriented programming, work with APIs, and explore database management using SQL. These skills lay the groundwork for dynamic web applications and automation tools.
  • Build Your Portfolio with Django: Dig into Django and develop projects that put your expertise on display. Learn URL dispatching, model querying, and task automation, then create APIs using Django REST. By the time you finish the program, you'll have a portfolio of projects ready to showcase your abilities.
  • Get Personalized Mentoring and Hands-On Experience: All through the program, you'll receive one-on-one mentoring to sharpen your skills and projects. You'll take on practical coding challenges and projects and get feedback along the way, making sure you're fully prepared for job interviews and a successful career in software development.
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This course has a prerequisite

Students should feel comfortable coding HTML and basic CSS. You should have knowledge equivalent to our Web Development with HTML & CSS class. Knowledge of another programming language is helpful, but not required. 

Courses & Videos in This Certificate Program

Download Syllabus PDF

Unit 1 30 Hours

Python Programming Bootcamp (Self-Paced)

Learn Python programming from the ground up, building a strong foundation in core concepts, real-world applications, and coding best practices. This course prepares you to solve technical problems with confidence while developing Python projects you can showcase in a professional portfolio.

  • Learn Python fundamentals such as variables, data types, loops, and functions
  • Strengthen logical programming skills using conditionals, indexing, and slicing
  • Work with files by reading, writing, and appending data in text files
  • Explore computer science basics, including Big-O notation and common sorting algorithms
  • Build scalable applications using object-oriented programming (OOP) principles
  • Use Git and GitHub to manage code, track changes, and create a polished coding portfolio

Unit 2 60 Hours

Python Web Development with Django (Self-Paced)

Learn to build and deploy web applications using Django, a powerful Python web framework. This course covers back-end development, API creation, and automation techniques for scalable applications.

  • Set up Django projects and work with URL dispatchers, templates, and database models.
  • Develop full-stack web applications using Django's MVC architecture and generic views.
  • Implement authentication, user management, and secure API endpoints with Django REST.
  • Automate tasks with Django, including background processes and scheduled jobs.
  • Work with APIs, including building and consuming RESTful web services.
  • Deploy Django applications and APIs to production environments for real-world use.

Unit 3 18 Hours

Python Developer Capstone Projects (Self-Paced)

Python Web Development with Django Capstone

  • Analyze structured datasets (e.g., Stack Overflow Developer Survey) to identify global tech salary trends influenced by factors like location, job role, experience level, and remote work.
  • Use pandas for data cleaning and preprocessing (handling missing values, currency conversions, and outliers), and visualize key insights with Matplotlib/seaborn charts, including salary comparisons and remote versus on-site trends.
  • Develop an interactive Django web application featuring dynamic salary filtering, interactive charts, and dashboards, using Django models, views, templates, and Bootstrap for front-end styling.

Python for AI Capstone (Choose One of Two)

  • AI Chat Assistant: Build a Flask and JavaScript-powered AI chat assistant embedded in a live website, integrating OpenAI’s API to provide context-aware responses about products or services with client-side session memory.
  • Collectibles Identification Web App: Develop an interactive Flask-based web app allowing users to upload images of collectibles, utilizing OpenAI’s API for item identification, metadata generation, and dynamic session-based item logging.
  • Prepare a professional presentation demonstrating your app’s user flow, technical integration (Flask, JavaScript, OpenAI), prompt engineering strategies, insights, limitations, and opportunities for future improvements.

See examples of Python capstone projects from students.

Choose two of the classes below as free electives (contact us after registration).

Bonus 30 Hours

Python for Data Science Course Online (Self-Paced)

Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.

  • Handle different types of data such as integers, floats, and strings
  • Control the flow of your programs with conditional statements, loops, and functions
  • Reuse and simplify code with object-oriented programming
  • Analyze tabular data with NumPy and Pandas
  • Create graphs and visualizations with Matplotlib
  • Make predictions with linear regression, using scikit-learn
Lesson 1: Python for Data Science Fundamentals
Lesson 2: Boolean Conditions
Lesson 3: Datetime & Random
Lesson 4: Loops & Strings
Lesson 5: Dictionaries
Lesson 6: Numpy
Lesson 7: Pandas Dataframes
Lesson 8: Bar Charts with Matplotlib
Lesson 9: Line & Scatter Charts with Matplotlib
Lesson 10: Pivot Population Data & Charts

Bonus 30 Hours

Python for AI Course Online (Self-Paced)

Learn how to build AI-powered web applications using Flask and the OpenAI API. This course covers web development fundamentals, API integration, and AI-driven features for interactive applications.

  • Set up Flask projects and create routes for handling web requests and rendering templates
  • Design and style web applications using HTML, CSS, and Flask’s templating system
  • Integrate the OpenAI API to implement AI-powered features like sentiment analysis
  • Handle user input with dynamic forms and process data for real-time interactions
  • Implement error handling and debugging techniques to ensure smooth application performance
  • Deploy and test Flask applications for real-world use and AI-enhanced functionality
Lesson 1: Using VSCode & Flask
Lesson 2: Rendering HTML with Flask
Lesson 3: Connecting with OpenAI
Lesson 4: Jinja and Prompt Engineering
Lesson 5: Building the Chat
Lesson 6: Coding HTML & CSS
Lesson 7: Using Javascript
Lesson 8: Improving the Chat
Lesson 9: Starting the Meal Analyzer
Lesson 10: Finalizing the Meal Analyzer

Bonus 24 Hours

Python Data Visualization & Interactive Dashboards Online (Self-Paced)

Learn to gather, manipulate, and analyze real-life data in this course, where you'll gain hands-on experience with Python's NumPy and Pandas libraries. Develop your data visualization skills using Matplotlib, Seaborn, Plotly, and Dash Enterprise, and complete real-life projects that can be deployed online.

  • Plan, gather, and manipulate data from different sources to present a data story
  • Find data stories through exploratory data analysis 
  • Manipulate data with NumPy and Pandas.
  • Use advanced Python visualization libraries Plotly and Dash
  • Build a dashboard and apply the rules of effective dashboard design to create professional data science solutions
  • Go live with your project and deploy the dashboard on a live server
Lesson 1: Environment Setup & Foundations
Lesson 2: Building Core Dash Visuals
Lesson 3: Pandas & Function Essentials
Lesson 4: Data Analysis & Multi-Graph Dashboards
Lesson 5: Interactive Dashboards & Final Project

Bonus 30 Hours

Python Machine Learning Course Online (Self-Paced)

Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.

  • How to clean and balance your data using the Pandas library
  • Applying machine learning algorithms such as logistic regression and random forest using the scikit-learn library
  • Choosing good features to use as input for your algorithms
  • Properly splitting data into training, test and cross-validation sets
  • Important theoretical concepts like overfitting, variance and bias
  • Evaluating the performance of your machine learning models
Lesson 1: Basic Regression Analysis
Lesson 2: Supervised Learning Essentials
Lesson 3: K-Nearest Neighbors
Lesson 4: Titanic Survival Prediction
Lesson 5: Neural Networks
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