Self-Paced Flexible Online Course

Learn Python with Generative AI

Delivered in collaboration with Great Learning

Learn more about the course

Get details on syllabus, projects, tools, and more

Name

Mobile Number

By submitting this form, you consent to our Terms of Use & Privacy Policy and to be contacted by us via Email/Call/Whatsapp/SMS.

Learn Python with Generative AI

LEARNING OUTCOMES

Build Actionable Programming Skills

Accelerate your programming journey with a hands-on learning experience

Recall basic Python syntax and common libraries, and set up a professional developer environment
Use Generative AI to streamline development using Python
Analyze coding approaches, break down complex problems, and tackle sophisticated tasks
Evaluate and improve code with AI, resolve bugs using exceptions, assertions, and industry-standard packages

Earn a certificate of completion from Johns Hopkins University

#6 National University Rankings

U.S. News & World Report, 2025
#13 Best Global University

U.S. News & World Report, 2024
#1 Computer Information Technology

U.S. News & World Report, 2025
#1 Biomedical Engineering Program

US News and World Report

KEY COURSE HIGHLIGHTS

Learn from a top-ranked university

Flexible learning format

Benefit from an asynchronous, self-paced learning journey, featuring engaging video walkthroughs and recorded sessions by Johns Hopkins University faculty
Hands-on learning

Enhance your Python skills with Gen AI through 10+ hands-on coding assignments, industry-relevant use cases, and industry-ready techniques.
Create a Compelling e-Portfolio

Build an industry-ready portfolio to showcase skills and tool proficiency
Globally recognized credential

Upon completion, earn a Certificate of Completion from Johns Hopkins University, along with 1 Continuing Education Unit (CEU)

Tools and Technologies

Python

ChatGPT

Individual Developer Environment (IDE)

NumPy

Python

ChatGPT

Individual Developer Environment (IDE)

NumPy

This Program Is Ideal for

Graduates seeking to meet provisional requirements and individuals looking to build proficiency in Python.

Graduate Students and Researchers

Looking to meet Python prerequisites or advance their academic work through an industry-aligned, AI-driven approach.
Working Professionals

Eager to upskill by integrating Generative AI into their technical workflows to streamline development and stay competitive.
Tech Practitioners

Interested in building foundational programming proficiency, debug with ChatGPT, and solve industry-relevant problems.
Individuals

Transitioning into tech careers, accelerating learning and moving from theory to hands-on coding with AI as a personal assistant.

Experience a unique learning journey

Our pedagogy is designed to ensure a holistic learning experience

Flexible learning journey

Learn at your own pace with a flexible, asynchronous format built for working professionals
Engaging material

Stay up-to-date with relevant content and video walkthroughs on today's cybersecurity landscape
Application-focused approach

Gain actionable insights through projects and real-world use cases
Globally recognized credentials

Earn a Johns Hopkins Certificate of Completion and 1 Continuing Education Unit upon completion

Curriculum

The curriculum for this course is designed by the faculty of Johns Hopkins University and leading industry practitioners and focuses on building core Python proficiency while learning how to effectively use generative AI to write, debug, and refine code.

Module 01 | Getting Started

Concepts Covered: - Understand Python’s role in today’s tech landscape - Establish an individual developer environment (IDE) on a personal computer

Module 02 | Python Basics

Concepts Covered: - Use ChatGPT for code generation, modification, and debugging - Understand core Python elements: data types, variables, and strings - Use functions to create modular, efficient programs

Module 03 | Intermediate Python

Concepts Covered: - Use conditionals (if/else) and loops (for/while) to control program flow - Manage data with lists, tuples, and dictionaries - Perform advanced array operations and analysis with NumPy

Module 04 | Advanced Python

Concepts Covered: - Debug code using exceptions and assertions - Handle files with read/write operations - Implement data encryption and sorting algorithms (e.g., Bubblesort)

Work on Hands-On Assignments

Engage in comprehensive coding assignments using emerging tools and technologies across sectors

10+

Coding assignments
Hands-On

Learning
Industry-Ready

Tools and technologies

Python Essentials

Getting Started with Python

Description

Learn Python programming by writing and executing your first programs, building a foundation for advanced AI-powered applications.

Skills you will learn

Python Syntax
Writing Programs
Debugging Code
Python Libraries

App Foundations

Building Real-World Applications

Description

Develop a banking system simulation that includes account management, transaction history, and balance updates, providing a practical experience in programming and system design.

Skills you will learn

System Design
Account Management
Transaction Handling
Programming Logic

PRACTICAL PROFICIENCY

Hands-on Python Scripting

Description

Write scripts to perform practical tasks like temperature conversions and time formatting, applying core programming concepts to real-world scenarios.

Skills you will learn

Python Scripting
Task Automation
Core Programming Concepts
Real-World Applications

Secure Systems

Data Security and File Management

Description

Develop a function to encrypt plaintext and create an algorithm for reading, sorting, and writing integer lists to external files, gaining hands-on experience with data security and file handling.

Skills you will learn

Data Encryption
File Management
Sorting Algorithms
File Handling

Earn a Professional Certificate

Earn a certificate of completion from Johns Hopkins University to showcase to your professional network.

#1 Ranked Online Grad Program

Computer Information Technology by U.S. News & World Report

* Image for illustration only. Certificate subject to change.

Meet Your Faculty

Learn from world-renowned JHU faculty

Dr. Ian McCulloh

Manager, AI Continuing and Exec Ed, Johns Hopkins University

Served as Chief Data Scientist and MD of AI at Accenture Federal Services

Author of three books and over 100 peer-reviewed papers

Know More
Dr. Anthony (Tony) Johnson

Senior Professional Staff Member and Research Scientist, Applied Physics Laboratory, Whiting School of Engineering, Johns Hopkins University

Former AI researcher at HEC Montréal specializing in deep learning

Expert in NLP, computer vision, and meta-learning for real-world AI tasks

Know More

Course Fees

The course fee is USD 500

Advance Your Career

Recall basic Python syntax and common libraries, and set up a professional developer environment
Write Python programs and use ChatGPT for code generation and modification
Analyze coding approaches, break down complex problems, and tackle sophisticated tasks
Evaluate and improve code with AI, resolve bugs using exceptions, assertions, and industry-standard packages

Take the next step

00 : 00 : 00

Apply to the program now or schedule a call with a program advisor

Unlock exclusive course sneak peek

Enrollment process

Get started instantly with our self-enrollment process and begin your learning journey today

1. Enter your details

Provide your information to begin the enrollment process
2. Make payment

Complete the payment to receive your enrollment confirmation via email

No prerequisites

No programming experience required

Limited seats available

Elevate Your Tech Stack with AI

Delivered in Collaboration with:

Johns Hopkins University is collaborating with online education provider Great Learning to offer the Learn Python with Generative AI course. Great Learning is a professional learning company with a global footprint in 14+ countries. Its mission is to make professionals around the globe proficient and future-ready. This course leverages JHU's leadership in innovation, science, engineering, and technical disciplines developed over years of research, teaching, and practice. Great Learning collaborates with institutions to manage enrollments (including all payment services and invoicing), technology, and participant support.