Udacity AI Programming with Python Nanodegree Review (2026): New Transformers Module

Written by Akshay Vikhe, machine learning learner and course reviewer. First published November 2020. Updated and fact-checked by Josh Hutcheson, OnlineCourseing editor. See our review methodology.

Some links on this page are affiliate links: if you enroll through them we may earn a commission at no extra cost to you. It does not change our verdict, and several of the alternatives we name pay us nothing.

Last updated: 13 October 2026 (full refresh; syllabus, projects, prerequisites, ratings and prices re-checked on Udacity’s nd089 program page that day).

Udacity’s AI Programming with Python Nanodegree (nd089) is a 52-hour beginner program in five courses: Python fundamentals built around the PCEP entry-level certification, NumPy, pandas and Matplotlib, neural networks in PyTorch, and transformers. It has two reviewed projects, was rated 4.7 from 664 reviews on Udacity’s page on 13 October 2026, and was last updated by Udacity on 25 August 2026.

QUICK VERDICT

See the AI Programming with Python Nanodegree →

What changed since this review was first written

Source: Udacity’s nd089 program page, read 13 October 2026. The previous version of this page also claimed you could take the course free and pay only for the certificate, and that Udacity sends graduates’ CVs to partner companies. Neither appears anywhere on Udacity’s current page, so both have been removed.

AI Programming with Python Nanodegree

The program is Udacity’s entry point to its AI track. It assumes no Python and ends with you training a transformer for sentiment analysis. Here is how it is built today.

Instructors listed by Udacity include Mat Leonard, Juno Lee (curriculum lead at Udacity), Luis Serrano, PhD, Mike Yi, PhD (data scientist, AMD), Juan Delgado, Ivan Mushketyk (software engineer, Stripe) and Brian Hough.

Check the current nd089 price →

Reviews from graduates of Udacity AI Programming with Python Nanodegree

These LinkedIn posts were collected for the first version of this review in 2020. They describe the earlier program with the image classifier project, which is worth knowing as you read them.

Thanks, Udacity! This was awesome!
William Daugherty, prospective NLP engineer and data scientist, via LinkedIn (2020)

I was also curious about AI, so I started learning from Udacity’s Nanodegree program. It’s a great experience to learn Neural networks, with entrancing Mathematics and all Machine learning implementation tools like NumPy, Pandas, and sturdy Pytorch. After submitting my project of an Image classifier model as a final project I was graduated from Udacity’s Nanodegree in AIPND.
Rohit Kumar, Android and full stack developer, via LinkedIn (2020)

Successfully Completed the Course. Happy Learning!
Amitash Nanda, researcher, Accenture Research Lab, via LinkedIn (2020)

What recent learners say

The most recent reviews on Udacity’s own page (June to September 2026) are all five stars and short. The most specific, from September 2026, said the learner gained skills and projects they could now put on a resume. Another called the project-based format helpful for a beginner. Udacity’s page showed 4.7 from 664 reviews; Udacity as a company held 4.5 from about 3,400 reviews on Trustpilot. Reviews shown on a vendor’s own page skew positive, so give more weight to the specific complaints in the next section.

Improvement reviews

I took this course intending to learn Python before getting into AI/Machine Learning. Would probably have been better to take specifically a Python course.
Three-star review collected for the 2020 version of this page

That point has become more relevant, not less: about 21 of the current 52 hours are now a Python certification prep course. If you only want Python, a dedicated Python course is cheaper.

Criticism from Reddit

We read the two most visible Reddit threads about this program (r/learnmachinelearning, February 2020 and January 2022). Both describe older versions, but the complaints are about the model, not the syllabus, so they still apply:

• The credential carries little weight. A commenter said the Nanodegree had not helped with graduate admissions, internships or employers. Another said the knowledge was useful but the “degree” was not.
• You pay while life happens. One learner said they paid over $800, could not finish, and could not pause. Today’s subscription has the same risk, which the one-time $999 option avoids.
• Projects are harder than the lessons. A 2022 commenter found the projects much harder than the tutorial material and had to learn background knowledge elsewhere.
• Free material covers the syllabus. Several commenters pointed to free courses and university lectures that teach the same topics.

Our read: these are fair warnings for anyone expecting a career outcome. They matter less if you want structure and graded projects to learn the basics, and you can finish quickly.

Overview

“AI programming” here means writing the Python that prepares data and trains neural networks. It does not mean using AI coding assistants, which is what many searches for “AI programming” are about. The program teaches you to work with data in pandas, to understand how a neural network learns through gradient descent and backpropagation, and to train one in PyTorch. The final course moves to transformers, the architecture behind today’s large language models, and shows how to fine-tune pre-trained models with Hugging Face.

Python is the default language for this work. PyTorch, one of the two main deep learning frameworks, is a Python library, and so are NumPy and pandas. That is why Udacity spends 40% of the program on Python itself before any neural network appears.

What you can build after it

By the end you should be able to load and clean a dataset in pandas, chart it with Matplotlib or Seaborn, explain how a network adjusts its weights, train a small model in PyTorch, and fine-tune a pre-trained transformer from Hugging Face on a text classification task. That is enough to follow most beginner machine learning tutorials and to start a personal project, such as classifying support tickets or product reviews.

It is not enough to deploy models to production, to work with large datasets efficiently, or to read research papers comfortably. Those come from the next programs on the track.

Jobs in Python Programming

Python skills sit underneath several well-paid occupations. The US Bureau of Labor Statistics reports a May 2025 median of $135,980 for software developers and $120,230 for data scientists, and projects data scientist employment to grow 35% from 2025 to 2035, far faster than the 3.5% average for all occupations.

Be realistic about where a 52-hour beginner program puts you. It can prepare you for a junior Python task, a data analysis course, or further AI study. Machine learning engineer and data scientist roles usually ask for a degree, more math, and a portfolio of larger projects. Use this Nanodegree as the first step on that path, and see our free Python courses if you want to build fluency before paying.

Roles that use these skills

• Data analyst: pandas, charts and clear reporting, the part of this program most directly used at work.
• Python developer: the PCEP-level fundamentals, plus testing and packaging you would learn next.
• Junior machine learning engineer: PyTorch training loops and pre-trained transformers, plus deployment skills this program does not teach.

What is AI Programming with python at Udacity Like?

Lessons mix short videos, written explanations and quizzes, with coding done in Jupyter notebooks and browser workspaces. Each of the two projects is graded against a rubric; a reviewer either passes it or returns it with comments, and you can resubmit as often as you need.

What Udacity’s plan card includes today

• Unlimited access to Udacity’s catalog while you subscribe
• Hands-on projects with expert feedback
• Personalized career coaching and interview prep
• Program certificates

The previous version of this page promised a personal technical mentor and career services that send your CV to companies on your behalf. Neither is on the current plan card. The dependable form of expert help is the project review.

How hard is it?

The Python and pandas courses are gentle. The neural network course is the jump: it covers perceptrons, gradient descent, backpropagation and training loops in about 13 hours. If you have not seen derivatives or matrix multiplication before, budget extra time there. The transformer project asks for over 75% accuracy, which is achievable but needs care with data preparation and the training loop.

Duration of Udacity AI Programming with Python Nanodegree

Total: 52 hours by Udacity’s estimate, plus time for reviews and rework. A realistic plan:

1. Weeks 1 to 2: orientation and the Python course; submit the Amazon reviews data project.
2. Week 3: NumPy, pandas, Matplotlib and Seaborn in Jupyter notebooks.
3. Weeks 4 to 5: neural networks, gradient descent and an introduction to PyTorch.
4. Week 6: transformers and pre-trained models; submit the sentiment analysis project.

At 10 hours a week that fits in six weeks, which keeps the cost at one or two months of subscription.

Pricing

Udacity sells access by subscription. On 13 October 2026 the nd089 page listed $249 a month, a four-month bundle at $212 a month ($846 in total), or $999 to buy just this program outright. A subscription also opens the rest of Udacity’s catalog. The page showed a 40% discount banner for new users; check the terms at checkout because promotions change often.

For this program the monthly plan is usually cheapest. The four-month bundle only pays off if you plan to continue straight into a second Nanodegree.

Three ways to pay less

1. Do the free warm-up first. Learn basic Python syntax and the math refreshers for free before you subscribe, so your paid weeks go to the projects.
2. Batch your study. Plan the six weeks before you start and submit each project as soon as it is ready. Reviews usually come back within days, and waiting costs money.
3. Use the discount honestly. Udacity’s new-user and seasonal offers come and go. If a public sale beats the price you see, take the sale; the program is the same.

See current AI Programming with Python pricing →

Never written Python before? Udacity’s free Introduction to Python Programming course covers the basics in about 14 hours first; our Udacity Introduction to Python review compares it with the paid options.

Pre-requisite

Udacity labels the program Beginner but lists four prerequisites: elementary algebra, linear algebra, basic calculus and basic GitHub. The earlier version taught linear algebra and calculus inside the program; the current one does not, so the math is now assumed.

Quick self-check

• Can you multiply two small matrices by hand, and explain what a vector is?
• Do you know what a derivative tells you, and roughly what the chain rule does?
• Can you create a GitHub repository and push a file to it?

If any answer is no, spend a week on Khan Academy’s free linear algebra and calculus units before you subscribe, so you do not pay for that week. No prior Python is needed.

Hardware and software

Lessons and projects run in Udacity’s browser workspaces, so any modern computer with a stable connection works. The program also shows you how to install Anaconda and Jupyter locally, which is worth doing so your projects live on your own machine and GitHub.

What are the learning outcomes of the Udacity AI Programming with Python Nanodegree?

Course 1: Beginner Python PCEP Certification Prep (20.6 hours)

Lessons: Python programming fundamentals, Boolean logic and numeric operators, control flow and loops, data structures, functions and exceptions. Skills include list comprehensions, string methods and Jupyter notebooks. The course is aimed at the Python Institute’s PCEP entry-level exam, which you can take separately.

Project: A Data-Driven Approach to AI and Python. You play a data scientist working with Amazon reviews and turn raw data into insights, practicing data manipulation, exploration and presentation.

Course 2: NumPy, Pandas, Matplotlib (7.5 hours)

Lessons: Anaconda, Jupyter notebooks, NumPy, pandas, and two lessons on Matplotlib and Seaborn. This is the toolkit every later data and AI course assumes.

Course 3: Neural Networks (12.9 hours)

Lessons: introduction to neural networks, implementing gradient descent, training neural networks, and deep learning with PyTorch. Skills include perceptrons, logistic regression, feedforward networks, backpropagation and transfer learning.

Course 4: Programming Transformers with PyTorch (9 hours)

Lessons: introduction to transformer networks, building transformers with PyTorch, and using pre-trained transformers. Skills include attention, word embeddings, text generation, GPT-style models and Hugging Face.

Project: Transformers for Movie Review Sentiment Analysis. You prepare the data, implement a custom dataset and training loop, and train a transformer that must reach over 75% accuracy.

Related reviews: Intro to Machine Learning with PyTorch, Generative AI Nanodegree and Agentic AI Nanodegree.

View the full nd089 syllabus →

Pros and Cons

Pros of Udacity AI Programming with Python

• Current material. Transformers, pre-trained models and Hugging Face were added; the program was updated in August 2026.
• Short. 52 hours means one or two months of subscription for most learners.
• Reviewed projects. Both projects get rubric-based feedback, and the second one has a clear accuracy target.
• Useful side goal. The Python course lines up with the PCEP exam if you want a vendor certification as well.

Cons of Udacity AI Programming with Python

• Thin for the price. Two projects is a small portfolio, and 40% of the hours are Python basics you can learn for free.
• Math is assumed, not taught. The prerequisites list linear algebra and calculus, but the program no longer covers them.
• The credential is light. A Udacity certificate is not academic credit; Reddit commenters report it did little for admissions or job applications.
• Support is narrower than older pages said. There is no personal mentor on the current plan card.

Udacity’s AI programming with Python Nanodegree Certificate

When both projects pass, Udacity issues a Nanodegree certificate you can add to LinkedIn. It is a completion certificate, not a degree, and no employer requires it. Its value is the two projects you can show and explain.

Udacity certificate or PCEP?

PCEP facts from the Python Institute’s PCEP page, read 13 October 2026. The two prove different things, and the Nanodegree’s Python course prepares you for both.

Why You should enroll yourself in Udacity AI Programming with Python?

Enroll if you are new to Python, want to understand how neural networks and transformers work by building them, and value a reviewer checking your projects. Move straight to something else if one of these describes you:

For algorithms practice after this program, see our Data Structures and Algorithms Nanodegree review.

The Final Verdict of Udacity AI programming with Python Nanodegree

3.9 out of 5. The 2026 program is a tidy, current introduction: Python, the data toolkit, neural networks and transformers in 52 hours, with two projects a reviewer grades. It earns its price only if you finish in one or two months and use it as a first step. It loses points for assuming math it no longer teaches and for a light credential.

Our recommendation: if you are a beginner who wants a structured start in AI, take it on the monthly plan and aim to finish in six weeks. If you already code in Python, skip ahead. Compare it with the rest of the catalog in our best Udacity courses guide, read how the subscription works in our Udacity Nanodegree review, or browse the Udacity hub.

Start AI Programming with Python →

About the author

Akshay Vikhe is a machine learning learner with a strong interest in technology who reviews courses that add real value to students’ careers. This review was first published in 2020 and has been updated by our editors. About OnlineCourseing · How we review.

Frequently asked questions

Is the AI Programming with Python Nanodegree worth it?

It is worth it for a beginner who wants one reviewed path from Python basics through NumPy, pandas and Matplotlib to neural networks and a transformer built in PyTorch, and who can finish in one or two months. At 52 hours, that usually means $249 to $498. It is poor value if you already write Python comfortably, or if you only want the Python basics, which free courses cover well.

What is a Udacity Nanodegree?

A Nanodegree is Udacity’s name for a multi-course program built around projects that a reviewer grades against a rubric. You receive a Udacity certificate when every project passes. It is not a college degree or academic credit, and it is sold through Udacity’s subscription rather than as separate tuition.

How long does the AI Programming with Python Nanodegree take?

Udacity estimates 52 hours across five courses and 23 lessons. At 10 hours a week that is about five to six weeks, plus a few days for each of the two project reviews. The older estimate of three months at 10 hours a week no longer applies.

Do I need to know Python before starting?

No. The first real course is Beginner Python PCEP Certification Prep, which starts at Python fundamentals. Udacity does list elementary algebra, linear algebra, basic calculus and basic GitHub as prerequisites, and the neural network lessons use gradient descent and backpropagation, so some comfort with math helps.

Is the image classifier project still part of the program?

No. The dog breed and flower image classifier projects described in older reviews have been replaced. The current projects are A Data-Driven Approach to AI and Python, which analyzes Amazon reviews, and Transformers for Movie Review Sentiment Analysis, which asks for over 75% accuracy.

Does the Nanodegree include the PCEP exam?

No. Course 2 is preparation for the Python Institute’s PCEP entry-level certification, but the exam is bought separately from the Python Institute. On 13 October 2026 it cost from $69, with 30 questions in 40 minutes and a 70% passing score.

How much does it cost?

On 13 October 2026 Udacity charged $249 a month, $846 for four months (about $212 a month) or $999 to buy the program outright, and showed a 40% discount banner for new users. Because the program is 52 hours, most learners need one or two months, so the monthly plan is usually cheapest.

What comes after AI Programming with Python?

Udacity’s Intro to Machine Learning with PyTorch, the Deep Learning Nanodegree, or the Generative AI Nanodegree build on this foundation. If you want more Python first, the Intermediate Python Nanodegree (35 hours) is the next step.

Can I get a refund?

Udacity’s Terms of Use (updated January 16, 2026) give seven days from your first purchase to cancel for a full refund. After that, fees are not refunded, and canceling a monthly plan keeps access until the end of the month you paid for.

Will this Nanodegree get me an AI job?

Not on its own. It is a beginner program with two projects. Employers hiring for machine learning roles look for stronger projects, more math and usually a degree. Treat it as the first step on a longer path, and publish both projects on GitHub.

Related Udacity guides: Intro to Programming review · Programming for Data Science with Python review · Intermediate Python review · Best Udacity courses