Udacity AI For Healthcare Review [Is It Worth It?] [2025]

Are you planning to enroll in Udacity AI For Healthcare Program?… If yes, first read my Udacity AI For Healthcare Review.

In this review, I tried to cover everything related to the Udacity AI For Healthcare Nanodegree Program such as the content quality, worthiness of projects, value for money or not, etc.

Now, without further ado, let’s get started-

Udacity AI For Healthcare Review

First, I would like to summarize the overall learning experience with Udacity AI For Healthcare in this table-

Udacity AI For Healthcare Review Summary

Course Module	What You’ll Learn
1. 2D Medical Imaging Data	– Understand 2D medical images (like X-rays).
	– Use AI to find important health insights.
	– Extract images from medical files (DICOM).
	– Build AI for different medical situations.
2. 3D Medical Imaging Data	– Learn about 3D medical images and AI’s role.
	– Know how doctors use 3D images in practice.
	– Create AI algorithms for 3D medical data.
3. EHR Data	– Work with Electronic Health Records (EHR).
	– Keep EHR data safe and follow standards.
	– Analyze and transform EHR data with AI.
4. Wearable Device Data	– Process data from wearable devices.
	– Understand sensors like IMU, PPG, and ECG.
	– Build algorithms for health insights.
Additional Program Offerings	– Real-world projects and support.
	– Get help when needed in real-time.
	– Career services for job opportunities.
	– Flexible learning plans to fit your schedule.
Program Statistics	– Lots of projects reviewed by experts.
	– High reviewer ratings and quick feedback.

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Now, let’s see the Udacity AI For Healthcare content and projects in detail-

How were the Content and Projects of Udacity AI For Healthcare?

I found the best part about the Udacity AI For Healthcare Nanodegree Program is that it was more focused on hands-on experience.

There were 4 courses and 4 projects in this Nanodegree Program. After every course, there was one project which we had to complete. The project was related to the concepts taught in the course. This feature of the Nanodegree program helped me to understand the concepts by working on the project.

These were the 4 courses-

1. Applying AI to 2D Medical Imaging Data
2. Applying AI to 3D Medical Imaging Data
3. Applying AI to EHR Data
4. Applying AI to Wearable Device Data

Now, let’s see what concepts and topics were covered in this Udacity AI For Healthcare Nanodegree Program.

Course 1- Applying AI to 2D Medical Imaging Data

You’ll start by understanding the basics of working with 2D medical images such as X-rays, mammograms, and digital pathology. It’s a great way to get a strong foundation.

Then, you’ll dive into the world of AI and discover how to use it to find important information in these medical images. It’s like teaching computers to help doctors.

You won’t just learn theory; you’ll get hands-on practice with real medical data. This practical experience will make your learning more effective and fun.

Importantly, you’ll also learn about following the rules in healthcare when using AI. This is crucial because we need to make sure AI tools are safe and reliable in medical settings.

And the best part? You can learn at your own pace, making it easy to fit into your schedule.

After learning these concepts, there is a project, which you have to complete.

Project 1- Pneumonia Detection from Chest X-Rays

In the Udacity AI for Healthcare Nanodegree program, you have to work on a project called “Chest X-ray Diagnosis.” Here’s what you will work on:

You will work on diagnosing pneumonia using chest X-rays, which is a critical task in healthcare. Even skilled radiologists can find it challenging. But don’t worry, you will learn how to train a computer to do this.

Pneumonia is a common and serious disease, and finding it early is crucial. In the project, you will use a large collection of X-ray pictures to teach a computer how to recognize pneumonia.

You will also learn how to choose the right pictures for training and testing. Plus, you will discover how to extract the X-ray images from special files called DICOM files.

To make sure your computer tool meets the FDA’s standards for medical devices, you will work on writing a plan. It’s an essential step in the process.

Overall, this project is a hands-on opportunity to learn about AI in healthcare, and you will be actively involved in making it happen.

Course 2- Applying AI to 3D Medical Imaging Data

In the second course of the Udacity AI for Healthcare Nanodegree program, you’re going to learn some really important stuff. Here’s what you’ll find out:

First, you’ll learn the basic skills to work with 3D medical images, like those from CT and MRI scans. These images are crucial because they help doctors understand what’s happening inside our bodies.

You’ll also learn how doctors use these 3D images to help patients. This is important because it shows where AI can be super helpful in healthcare.

Then, you’ll dive into machine learning, which is like teaching computers to do smart things. You’ll use it to solve tricky problems in 3D medical imaging.

Finally, you’ll discover how to make AI tools work smoothly with doctors and their routines. This makes sure that AI becomes a valuable helper for healthcare professionals.

In short, this course gives you the skills and knowledge to use AI in the world of 3D medical images, making healthcare even better.

Project 2- Hippocampal Volume Quantification in Alzheimer’s Progression

In the second project of the Udacity AI for Healthcare Nanodegree program, you’ll be doing some important work. You’ll need to automate the process of measuring the size of a brain part called the hippocampus. This brain area is important for memory and learning. But right now, doctors have to do this measurement manually, and it takes a lot of time.

Here’s what you’ll be doing:

• Getting Data Ready: You’ll prepare a bunch of pictures of the hippocampus from scans so that a computer can learn from them.
• Creating an Automated Tool: Your job is to make a computer program that can measure the hippocampus size on its own. This tool will be designed to work smoothly with doctors.
• Making Reports: You’ll write code to create reports based on what the computer tool finds. These reports will help doctors understand the results.
• Checking Accuracy: You’ll also plan how to check if the computer tool is doing its job correctly, similar to what big authorities like the FDA require.

This project is a hands-on way to see how AI can make healthcare better and more efficient, especially in tasks like measuring brain structures.

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Course 3- Applying AI to EHR Data

In the third course of the Udacity AI for Healthcare Nanodegree program, you’ll explore electronic health records (EHR) and how AI can make them more useful.

You’ll start by learning about EHR data, which is like digital records of patients’ health information. AI helps you understand this data better and make predictions that can assist healthcare decisions.

You’ll use some advanced tools like TensorFlow Probability, Aequitas, and Shapley, but don’t worry, we’ll guide you through using them effectively.

Keeping patient data safe and private is a big deal in healthcare, and you’ll understand the rules and standards that ensure this.

You’ll also work with different types of healthcare codes, like ICD10-CM, CPT, HCPCS, and NDC, and learn how to transform data so that AI can analyze it.

Plus, you’ll use TensorFlow, a powerful AI tool, to help you find important information in complex healthcare data.

In summary, this course helps you make the most of EHR data using AI, making it a valuable tool in healthcare.

Project 3- Patient Selection for Diabetes Drug Testing

In the third project of the Udacity AI for Healthcare Nanodegree program, you’ll play the role of a data scientist for a healthcare startup. This startup has developed a new diabetes drug and wants to test it in clinical trials.

Your job is to create a computer model that can guess how long a patient might stay in the hospital. This helps the startup choose the right patients for their trials.

You’ll dig into the data to find out what’s important, use tools like TensorFlow to make sense of it, and make sure your model is fair and accurate.

This project is all about using AI to make smart choices in healthcare trials, and it’s a big deal for the startup and for improving diabetes treatment.

Course 4- Applying AI to Wearable Device Data

In the final course of the Udacity AI for Healthcare Nanodegree program, you’ll learn about wearable devices like fitness trackers. These gadgets collect health data, like how many steps you take or your heart rate.

You’ll also understand how the sensors in these devices work. This helps you make sense of the health data they provide.

The goal is to use this data to learn more about a person’s health. It’s all about using simple wearable technology to improve healthcare and make it easier to understand.

Project 4- Motion Compensated Pulse Rate Estimation

In the Udacity AI for Healthcare Nanodegree program’s final project, you have to work on something called “Motion Compensated Pulse Rate Estimation.” This means you will work on figuring out a person’s heart rate using a special device that they wear. Even if they’re moving around, you will need to make sure you can get an accurate heart rate.

You will start by collecting data from the device, which has two sensors: one that measures movement (IMU sensor) and one that measures the heart rate (PPG sensor). You will collect this data while the person is doing different activities.

Then, you will need to teach a computer program to understand what activity the person is doing based on the movement data. You will do this by looking at the data closely and training the program. You will use a special tool called a Random Forest to help you with this.

Once you know what activity the person is doing, you can use that information to figure out their heart rate. This can be tricky because sometimes the movement can make the heart rate data messy. But you will use some smart tricks to get a good estimate of their heart rate. You will also check how confident you are in this estimate.

You will need to keep working on your program until it can accurately tell you the heart rate even when the person is moving. This will help you monitor their health better with the wearable device. So, you will have to work on it, and you will work on it until it’s accurate.

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Who Should Enroll in Udacity AI For Healthcare?

The Udacity AI for Healthcare Nanodegree is for people who want to use computer skills in healthcare. If you already know a bit about things like making computers learn from data or if you’re interested in helping doctors with computer tools, this is a good fit.

You’ll learn about different topics, like how to use computers to understand medical information and how to make healthcare data better. You’ll also find out about the rules and standards in healthcare and how to use computer tricks to analyze medical images.

If you already know a bit of computer language called Python, that’s a plus because you’ll use it here too, especially for checking medical images.

Once you finish this program, you’ll be ready to use these skills in real healthcare jobs, helping doctors and patients. It’s a great way to make healthcare better with the help of computers.

So, if you’re interested and have some knowledge about these things, this Nanodegree is a good choice for you.

Now, let’s see how the instructors of this Nanodegree Program-

Are Instructors Experienced?

1. Nikhil Bikhchandani: He’s a Data Scientist at Verily Life Sciences, and he’s spent a long time working with wearable devices at Google and Verily. He’s super knowledgeable about things like heart problems, brain diseases, and diabetes. He studied electrical engineering and computer science at Carnegie Mellon University.
2. Ivan Tarapov: Ivan is a senior program Manager at Microsoft Research. He’s an expert in creating smart computer programs that can understand medical images from things like MRI and CT scans. He’s worked with big healthcare companies like Physio-Control, Stryker, Medtronic, and Abbott.
3. Mazen Zawaideh: Mazen is a Radiologist, which means he’s really good at looking at pictures of the inside of your body. He’s currently learning even more about this at the University of Washington. He also helps Microsoft Research with special computer programs for cancer images.
4. Emily Lindemer: Emily is the Director of Data Science and Analytics at Wellframe. She knows a lot about using computers to understand things like X-rays and other medical pictures. She’s super smart and even started her own healthcare company before!
5. Michael DAndrea: Michael works as a Principal Data Scientist at Genentech, a big healthcare company. He’s busy making clinical trials better and finding safer ways to treat people. He also worked on cool artificial intelligence stuff at McKesson’s Change Healthcare.

As you saw, all instructors are experienced and knowledgeable. And learning from such instructors is amazing and helpful. That is the reason I love Udacity.

Now, let’s see the price and duration of the Udacity AI For Healthcare.

How Much Time and Money do You have to Spend on Udacity AI For Healthcare?

According to Udacity, the Udacity AI For Healthcare program will take 4 months to complete if you spend 15 hours per week. And for 4 months they cost around $937. But Udacity offers two options- One is either pay the complete amount upfront or you can pay monthly installments of $399/month.

I know Udacity AI For Healthcare Nanodegree is expensive compared to other MOOCs. That’s why I would like to share some methods to save some money.

How to get a Discount on Udacity AI For Healthcare?

Most of the time, Udacity offers some discounts. When they offer a discount, it appears something like that-

Visit the Nanodegree Page.

As you can see Udacity is offering a “Personalized Discount”.

So, you click on the “Personalized Discount” option. And you will be redirected to the next page where Udacity will ask you to answer two questions.

Answer these questions from the drop-down list. And you will get 70% off on Udacity AI For Healthcare Nanodegree.

They will provide a unique coupon code. You have to copy this code and paste it at the time of payment. And that’s all, you have to do to get a discount.

Now, I would like to mention What I like about Udacity AI For Healthcare Nanodegree and what I didn’t like.

Check 60% off Discount-> Udacity AI For Healthcare

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What did I like about Udacity AI For Healthcare?

1. Great Teachers: The program is taught by experts who know a lot about healthcare and AI. They’ll teach you in a way that’s easy to understand.
2. Hands-On Projects: You get to work on real projects that help you learn how to use AI in healthcare. It’s like practicing what you’ve learned.
3. Helps Your Career: This program covers topics that are really important in healthcare and AI. When you finish, you’ll be ready for a job in this field.
4. Flexible Learning: You can study at your own pace, which means you can learn even if you have a busy schedule.
5. Real-World Connections: Sometimes, you get to work with big healthcare companies on real projects. This helps you make connections in the industry.
6. Meet Others: You can also meet other students and professionals in the program. This can be useful for your future career.
7. Get a Certificate: When you finish the program, you get a certificate that shows you know a lot about AI in healthcare. It can help you find a job.
8. Career Support: They can help you with things like making a good resume, preparing for interviews, and finding a job.
9. Learn at Your Own Pace: You can learn when it works best for you. You’re in control.
10. Always Updated: They make sure the program has the latest information about AI and healthcare, so you’re learning what’s new.

What I didn’t like about Udacity AI For Healthcare?

1. Cost: This program costs money. Some people might find it a bit pricey, but there are sometimes ways to get help with the cost.
2. Some Prior Knowledge Needed: You should know a bit about computer stuff before starting. If you’re totally new to it, you might find it challenging.
3. Tech Changes Fast: Technology moves quickly, and the program might not always cover the very latest stuff. But Udacity tries to keep things up-to-date.
4. Time Commitment: Be ready to spend quite a bit of time studying to finish the program.
5. Job Help Varies: Udacity offers job help, but how much help you get can differ, and getting a job depends on many things.

Now, after covering all essential points related to Udacity AI For Healthcare Nanodegree, it’s time to wrap up this Udacity AI For Healthcare Review and answer the

Is Udacity AI For Healthcare Nanodegree Worth It?

Absolutely, the Udacity AI For Healthcare Nanodegree can be a good choice for you. If you want to learn more about healthcare and artificial intelligence, this program can help.

You’ll do real projects and get guidance from experts, which is great for learning. But, if you already know a lot about healthcare AI, this program might not have much new for you. So, think about what you want to learn and where you’re at in your career before deciding.

Check 60% off Discount-> Udacity AI For Healthcare

[Use the code BACK2SKILLS]

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Now it’s time to wrap up this Udacity AI For Healthcare Review.

Conclusion

I hope this Udacity AI For Healthcare Review helped you to decide whether to enroll in this program or not.

If you found this Udacity AI For Healthcare Review helpful, you can share it with others. And if you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

Thank YOU!

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