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AI in Healthcare Free Course

Name: AI Applications in Healthcare
Rating: 4.63 (2143 reviews)

AI Applications in Healthcare

4.63 Beginner level 3.0 learning hrs 41.1K+ Learners

Learn GenAI, LLMs, medical diagnosis, treatment planning, drug discovery, patient monitoring, hospital systems, ethics, and AI risks. Join this AI in Healthcare free course to understand responsible healthcare AI.

Instructor:

Glaide

Learn in

English Español

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Skills you will gain

Generative AI & LLMs

AI Diagnosis

Medical Imaging

Drug Discovery

Treatment Planning

Wearable Monitoring

+4 More

What you'll learn

Evaluate medical scans using AI for faster diagnosis.

Apply AI models to speed up drug discovery.

Monitor patient health using AI-powered wearables.

Build a pneumonia detection model from medical images.

Key Highlights

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Master in-demand skills & tools

Test your skills with quizzes

About this course

The AI in Healthcare free training course equips you with the essential knowledge to understand how Generative AI and Large Language Models support modern healthcare. You’ll learn how AI assists medical diagnosis, interprets scans, supports earlier condition detection, personalizes treatment decisions, and accelerates drug discovery. The course also covers AI-powered wearables, real-time patient monitoring, anomaly detection, hospital records, scheduling, and operational efficiency.

Through a pneumonia detection case study, you’ll see how medical imaging data is cleaned, used to create a model, and evaluated for clinical applications. You’ll also examine the risks, limitations, privacy concerns, and ethical responsibilities associated with healthcare AI. By the end of this AI in healthcare free online course, you’ll be able to identify valuable AI use cases, understand how AI supports clinical and administrative decisions, evaluate its limitations, and contribute more confidently to responsible AI adoption in healthcare.

Stand out with an industry-recognized certificate

Start learning

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Course outline

Foundations of Generative AI

In this module you'll learn the core concepts behind generative AI and large language models, how they work, and why they're transforming healthcare today.

AI in Diagnosis

In this module you'll learn how AI supports and accelerates medical diagnosis, from interpreting scans to flagging conditions early with improved accuracy and speed.

AI in Treatment & Drug Discovery

In this module you'll learn how AI personalizes treatment plans and speeds up drug discovery, identifying candidate molecules and optimizing therapeutic decisions for patients.

AI in Patient Monitoring & Wearables

In this module you'll learn how AI-powered wearables track patient health in real time, detect anomalies, and enable proactive, continuous care beyond the clinic.

AI in Health Management Systems

In this module you'll learn how AI streamlines hospital operations, records, and scheduling, reducing administrative burden and improving overall healthcare delivery and efficiency.

Case Study - Pneumonia Detection

In this module you'll learn through a real-world case study how AI detects pneumonia from medical imaging, from raw data to validated clinical diagnosis.

Risks, Ethics & the Future of Generative AI

In this module you'll learn the ethical challenges, risks, and limitations of generative AI in healthcare, plus emerging trends shaping its responsible future.

Get access to the complete curriculum once you enroll in the course

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This course is ideal for

Beginners exploring how AI is used in healthcare.
Students and freshers entering health tech careers.
Healthcare professionals curious about AI tools.
Learners who want a certificate for their resume.

AI Applications in Healthcare

4.63

3.0 Hours

Beginner

41.1K+ learners enrolled so far

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Trusted by 10 Million+ Learners globally

4.6

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Learner reviews of the Free Courses

4.63

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Talluri Supraja

4.0

★★★ ★ ☆

India

“Leveraging AI for Innovations in Healthcare: A Comprehensive Exploration”

In my experience exploring AI in healthcare, I focused on understanding how artificial intelligence can enhance medical diagnostics, patient care, and personalized treatment plans. I delved into the application of machine learning models for analyzing medical data, improving diagnostic accuracy, and predicting patient outcomes. This experience also helped me learn about the ethical challenges and regulatory requirements involved in implementing AI in clinical settings.

Ayush Shirodkar

4.0

★★★ ★ ☆

India

“The AI in Healthcare Course: Informative and Engaging”

The AI in Healthcare course was informative and engaging. I particularly appreciated the practical examples and real-world case studies. The content was well-structured, and the instructors were knowledgeable and supportive. While the pace was a bit fast at times, overall, I found the course to be valuable. I would recommend it to anyone interested in learning more about AI applications in healthcare.

Ana Luísa Cardoso Moreira

5.0

★★★★ ★

United Kingdom

“AI for Healthcare - An Excellent Introduction”

This course stands out by showcasing how AI systems and models can predict the likelihood of developing conditions such as diabetes, breast cancer, and pneumonia. These applications are invaluable for optimizing clinical assessments, enhancing diagnostic accuracy, and facilitating the implementation of preventive measures.

Abhiram Sunil

5.0

★★★★ ★

United Arab Emirates

“Exploring AI's Potential to Revolutionize Healthcare”

The most exciting aspect of my AI healthcare learning journey has been exploring the potential of AI-powered drug discovery. Witnessing how AI can accelerate the development of life-saving medications by analyzing vast datasets and predicting molecular interactions is truly inspiring. It's a testament to the transformative power of AI in addressing global health challenges.

Dr Bhavisha Thakkar

5.0

★★★★ ★

India

“Introduction to Digital Health and AI in Healthcare”

I really enjoyed how the course combined Digital Health concepts with practical applications of AI, predictive analytics, telehealth, EHRs, and healthcare innovation. The content was well-structured, easy to understand, and highly relevant to modern healthcare practice. I especially appreciated the discussions on ethical AI, patient-centered care, and real-world healthcare challenges. Overall, it was an informative and engaging learning experience.

Naveen Gandreddy

5.0

★★★★ ★

India

“Revolutionizing Healthcare: AI's Impact on Diagnosis, Treatment, and Patient Outcomes”

1. Accurate diagnoses (85-90% accuracy) 2. Efficient data analysis 3. Personalized treatment plans 4. Improved patient outcomes 5. Enhanced disease detection However, concerns include: 1. Data privacy and security 2. Bias in algorithms 3. Limited explainability 4. Human-AI collaboration challenges 5. Regulatory frameworks. Overall, AI shows promising potential to revolutionize healthcare.

Neha Sidana

5.0

★★★★ ★

India

“It Was Full of Knowledge and How the Teacher Explained the New Concept”

I liked how healthcare is becoming advanced; now healthcare can also have AI features and how we can use it in daily life, making work accurate, easy, and efficient. It enhances my ability to innovate in healthcare delivery and explains how operational efficiency in medical practices can be improved. This AI in healthcare course equips me with knowledge of data regression analysis.

gayatri bhide

5.0

★★★★ ★

India

“Reflections on the Learning Experience of AI in Healthcare Course”

It provided a well-structured introduction to the application of AI in clinical settings. The content was relevant and covered important concepts of ML fundamentals, healthcare data handling, and real-world use cases. It highlighted the potential of AI in improving diagnosis, patient outcomes, and healthcare efficiency. Incorporating more hands-on exercises, real datasets, and guidance on implementing models in clinical practice would further strengthen the course. Valuable resource for HCPs.

Kirsten Hodgson

5.0

★★★★ ★

United States

“Very Detailed Course”

I enjoyed how broad a range the material covered while also going into detail on the different subjects. I now have not only a better idea about AI in healthcare but also know more things that I need to do and learn to have a career in this field.

Mohamed HSSINI

5.0

★★★★ ★

Morocco

“Artificial Intelligence in Healthcare - Great Course”

Great course - Well organized - Well built - Well presented - Well explained.

Our course instructor

Glaide

Artificial Intelligence Expert

78.7K+ Learners

16 Courses

GLaide is an AI-powered teacher, designed to deliver personalized 1:1 instruction and mentorship across a wide range of programs. Trained on multiple lectures and interactions from Great Learning’s top faculty, GLaide mirrors their expertise, clarity, and engagement style to support learners. GLaide is built on advanced AI models fine-tuned with proven pedagogical methods, making it a reliable solution for delivering expert-level education at scale.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What will I learn in this free AI in Healthcare course?

This AI in healthcare free course with certificate covers how AI is transforming healthcare, including data cleaning, model creation, and evaluation, with a focus on medical image analysis. You'll also explore AI fundamentals, Generative AI, Large Language Models (LLMs), and ethical challenges in healthcare.

Who should take this free AI in healthcare course?

This course is perfect for beginners, students, healthcare professionals, and anyone interested in understanding how AI is shaping the future of healthcare, especially in fields like medical image analysis and predictive healthcare.

What is the course duration of this AI in healthcare free training course?

The course lasts approximately 3 hours and is self-paced, making it ideal for learners with varying schedules.

Is the AI in Healthcare Free course a certification course?

This AI in Healthcare freecourse earns you a certificate of completion, not a professional certification.

What skills will I gain from this free AI in healthcare course?

By completing the course, you will gain a strong understanding of:

Introduction to AI
ML
Deep Learning
Neural Networks etc. Demo on Classification
Regression
A Simple Case Study

What are the practical applications covered in this course?

The course includes practical applications such as:

AI in medical image analysis
Machine learning models for healthcare predictions
Deep learning for improving healthcare outcomes

What are the topics covered in this AI in healthcare free online course?

The modules covered in the AI in healthcare course for beginners are:

Foundations of Artificial Intelligence
Fundamentals of GenAI,LLMs and ChatGPT
AI for Healthcare Applications
Casestudy
Risks, Challenges, Ethics, and Future of AI Healthcare

Will I get a certificate after completing this AI in Healthcare free course?

You will receive a certificate after completing all modules. A certificate is available for a nominal fee upon successful completion.

How much does this Online AI in Healthcare free course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of AI in Healthcare for free can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the AI in Healthcare free course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free AI in Healthcare course?

Great Learning Academy provides this AI in Healthcare course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Free AI in Healthcare Training course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free AI in Healthcare course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.

Which advanced programs support the shift from healthcare AI awareness to real-world implementation and leadership?

After completing this beginner course, choose your next step based on the role you want to pursue. The AI in Healthcare Certificate Program from Johns Hopkins University develops applied skills in clinical decision support, predictive analytics, responsible AI, healthcare workflows, and AI implementation. Experienced professionals focused on strategy, innovation, digital transformation, and organizational leadership should explore the Global Health Care Leaders Program from Harvard Medical School. These programs offer distinct routes for implementing AI in healthcare systems or leading broader healthcare transformation.