Overview
In just 10 hours of self-paced study, master Python with the help of ChatGPT—your personal coding assistant. Fast-track your programming journey with Johns Hopkins Engineering Executive and Professional Education’s asynchronous “ Learn Python with Generative AI ” course.
Earn a certificate of completion from JHU, a recognized leader in education and research. Earn 1 Continuing Education Unit (CEU) upon course completion.
Learning outcomes
Whether you’re meeting a Python prerequisite for graduate studies, advancing your research, transitioning into a tech career, or expanding your expertise in Python programming with AI, this Python course with AI-driven techniques delivers an industry-aligned approach that mirrors how top tech firms use generative AI to streamline development.
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Visit programme websiteProgramme Structure
Designed by JHU Faculty, the curriculum covers key areas of gaining proficiency in Python, utilizing generative AI.
- Basic Python syntax and common libraries
- Writing Python programs, using ChatGPT to generate code
- Analyze various coding approaches
- Python programming features (functions, conditionals, loops, packages)
- Evaluate code for errors and suggest improvements
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 30 days
- 2 hrs/week
Start dates & application deadlines
Start Anytime
Language
Credits
Continuing Education Units (CEUs) are standardized credits awarded for Executive and Professional Education. They do not count toward degree programs but demonstrate skill enhancement and career advancement. One CEU typically equals 10 hours of coursework, and many employers and licensing boards recognize CEUs for certifications, training requirements, or professional growth.
Delivered
- Self-paced
- Continuous support with feedback on request
- Individual work/assignments (with online group discussions)
Campus Location
- Baltimore, United States
- Bologna, Italy
- Nanjing, China
Disciplines
Computer Sciences Artificial Intelligence Information Systems View 511 other Short Courses in Computer Sciences in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
This course is ideal for graduate students seeking to meet provisional requirements and individuals looking to build proficiency in Python.
Graduate Students and Researchers- Working Professionals
- Tech Practitioners
- Individuals Transitioning Into Tech Careers
Work experience
- This course does not require prior work experience. It is designed for graduate students and professionals looking to build or enhance their Python skills.
- While basic programming knowledge may be helpful, the course provides AI-assisted learning to support beginners and experienced learners alike. Check with program administrators for specific recommendations.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents500 USD / full≈ 500 USD / full - Out-of-State500 USD / full≈ 500 USD / full
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Domestic
Applies to youIn-State500 USD / full≈ 500 USD / full
Additional Details
This course is an investment of $500 USD.