
Last updated: April 2026. Reviewed by Josh Hutcheson. Confirmed Intermediate Python Nanodegree (nd303) is still actively offered by Udacity as of our last verification. See our full Udacity Nanodegrees guide for alternatives.
Udacity’s Intermediate Python Nanodegree targets developers who know Python basics but want to level up with object-oriented programming, decorators, and building production-ready applications. It sits between beginner tutorials and the advanced data science track.
This review covers what the program teaches, how the projects work, whether the certificate carries weight with employers, and how it compares to cheaper alternatives on Coursera and Udemy.
| Detail | Info |
|---|---|
| Platform | Udacity |
| Duration | 2 months (estimated 10 hrs/week) |
| Skill Level | Intermediate (Python basics required) |
| Projects | 2 real-world projects with code review |
| Certificate | Yes (Udacity Nanodegree certificate) |
| Price | Check current pricing on Udacity |
The program covers four core areas that bridge the gap between basic Python and professional development:
Each concept is taught through video lessons followed by hands-on coding exercises. The two capstone projects tie everything together.
Udacity nanodegrees are project-driven. In this program, you complete two graded projects:
Projects receive personalized code review from Udacity mentors with specific, line-by-line feedback. This is one area where Udacity consistently outperforms self-paced platforms.
View the Intermediate Python Nanodegree on Udacity →
This program fits a specific niche:
If you already write Python professionally or have completed a CS degree with Python coursework, this program will feel too basic.
Udacity nanodegrees are priced at a premium compared to other platforms. The Intermediate Python program runs on a monthly subscription model.
Whether it’s worth the price depends on what you value most:
Check current Udacity pricing →
| Platform | Course | Best For | Price Range |
|---|---|---|---|
| Coursera | Python for Everybody Specialization | Structured learning with university credential | Free to audit / $49/mo |
| DataCamp | Intermediate Python | Data-focused Python skills | $25/mo |
| Educative | Python for Programmers | Text-based, hands-on browser coding | $59/mo |
| Udemy | 100 Days of Code | Budget-friendly, comprehensive | $15-20 on sale |
For more options, see our full guide to the best Python courses online.
It depends on your budget and learning style. The project-based format with code review is genuinely valuable and hard to find elsewhere. But if you’re self-motivated and don’t need structured feedback, you can learn the same skills for a fraction of the cost on Udemy or through free resources.
Yes. You should be comfortable with variables, loops, functions, and basic data structures (lists, dictionaries). If you’re a complete beginner, start with a beginner Python course first.
Udacity estimates 2 months at 10 hours per week. Fast learners who code daily can finish in 3-4 weeks. There’s no penalty for finishing early or taking longer.
Udacity nanodegree certificates are recognized in tech hiring, particularly at companies familiar with the platform. However, employers care more about your portfolio projects than the certificate itself. The two projects you build during this nanodegree serve as portfolio pieces.
Udacity typically offers a refund within the first few days. Check their current refund policy before enrolling.
The Udacity Intermediate Python Nanodegree is a solid program for developers who want structured, project-based learning with real code review. It covers the right topics (OOP, decorators, file handling, testing) and the two capstone projects produce genuine portfolio pieces.
The main question is price. If mentor feedback and structured projects justify the premium for you, this is one of the better intermediate Python programs available. If you’re budget-conscious, Udemy and DataCamp offer comparable content at a fraction of the cost.
Enroll in the Intermediate Python Nanodegree on Udacity →
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