AI for Healthcare

AI for Healthcare

Instructor: AI CERTs Team

Access provided by Google

2,317 already enrolled

9 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

9 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Apply AI in Healthcare Workflows: Use AI in diagnostics, patient care, and operations to improve decisions and streamline processes.
Use Machine Learning in Medicine: Analyze medical data to identify patterns and support accurate diagnoses and treatment planning.
Build Data-Driven Healthcare Insights: Work with healthcare datasets to uncover insights that improve care quality and operational efficiency.
Enhance Treatment Planning and Patient Engagement: Leverage predictive tools to strengthen treatment strategies, risk assessment, and communication.

Skills you'll gain

Details to know

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Assessments

8 assignments

Taught in English

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There are 9 modules in this course

Healthcare professionals today manage increasing volumes of patient data, rising diagnostic demands, and the pressure to make fast, accurate decisions. AI for Healthcare is a beginner-friendly, practical course designed to help you apply AI confidently in clinical workflows, improve diagnostics, and enhance patient outcomes—without any coding experience.

Instead of focusing on theory, this course explores real hospital use cases. You’ll see how healthcare teams use machine learning, predictive analytics, and medical imaging AI to identify patterns, support clinical decisions, and reduce manual effort. You’ll also work hands-on with healthcare datasets to improve diagnostic accuracy and operational efficiency through practical, data-driven insights. By the end of the course, you’ll be able to integrate AI into medical workflows, interpret healthcare data with confidence, and improve patient care through faster, more informed decisions. Enroll in AI for Healthcare to build practical skills that enhance care delivery, strengthen decision-making, and improve patient outcomes with AI.

This module introduces the fundamentals of Artificial Intelligence and its role in modern healthcare environments. Learners explore AI concepts, applications, and how intelligent systems support medical assistants in daily tasks. The module builds a foundation for understanding AI-driven healthcare solutions.

What's included

9 videos1 assignment1 plugin

9 videosTotal 42 minutes

Course Introduction5 minutes
1.1 The Evolution and Impact of AI in Healthcare6 minutes
1.2 Overview of AI Applications in Various Industries5 minutes
1.3 Understanding Healthcare Data Types5 minutes
1.4 Role of AI in Healthcare4 minutes
1.5 Overview of Healthcare Industry Stakeholders5 minutes
1.6 Privacy and Security in Healthcare AI3 minutes
1.7 Ethical Considerations: Bias, Fairness, and Transparency4 minutes
1.8 Regulatory Landscape for AI in Healthcare5 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

1 pluginTotal 5 minutes

Activity: Carousel5 minutes

This module develops essential data literacy skills required for working with AI-powered healthcare systems. Learners understand healthcare data types, data quality, analysis methods, and the importance of accurate information. The module helps medical assistants make informed decisions using data-driven insights.

What's included

9 videos1 assignment1 plugin

9 videosTotal 42 minutes

2.1 Data Collection Techniques in Healthcare4 minutes
2.2 Data Storage and Management Solutions5 minutes
2.3 Ensuring Data Quality and Integrity4 minutes
2.4 Handling Missing Data and Anomalies6 minutes
2.5 Data Normalization and Standardization4 minutes
2.6 Feature Engineering and Selection4 minutes
2.7 Designing AI Models for Healthcare5 minutes
2.8 Training and Tuning Models5 minutes
2.9 Model Evaluation Metrics and Validation Techniques5 minutes

1 assignmentTotal 30 minutes

Quiz 230 minutes

1 pluginTotal 5 minutes

Activity: Accordian5 minutes

This module explores how AI improves patient care processes and healthcare workflows. Learners examine AI applications in patient monitoring, personalized care, scheduling, and operational efficiency. The module highlights how AI supports better healthcare experiences and outcomes.

What's included

9 videos1 assignment1 plugin

9 videosTotal 39 minutes

3.1 Types of Medical Imaging4 minutes
3.2 Challenges in Medical Imaging Data Handling4 minutes
3.3 Image Data Augmentation Techniques5 minutes
3.4 Deep Learning Models for Image Analysis (CNNs, GANs)5 minutes
3.5 Case Studies: Enhancing Image Quality and Diagnosis Accuracy4 minutes
3.6 Innovations in Image Segmentation and Object Recognition5 minutes
3.7 Integration of AI Tools into Clinical Workflows4 minutes
3.8 Future of AI in Radiology and Pathology4 minutes
3.9 Emerging Technologies and Their Potential Impact4 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

1 pluginTotal 5 minutes

Activity: Flipcard5 minutes

This module introduces Natural Language Processing (NLP) and Generative AI applications in medical documentation. Learners explore how AI assists with clinical notes, record management, summarization, and administrative tasks. The module demonstrates how AI can improve documentation efficiency and accuracy.

What's included

8 videos1 assignment1 plugin

8 videosTotal 32 minutes

4.1 AI in Disease Identification and Diagnosis4 minutes
4.2 Real-Time Analysis and Decision Support Systems3 minutes
4.3 Case Studies: AI in Oncology and Cardiology3 minutes
4.4 Using AI to Predict Disease Outbreaks4 minutes
4.5 Risk Assessment Models for Chronic Diseases4 minutes
4.6 Enhancing Preventive Care through Predictive Insights4 minutes
4.7 Addressing Data Heterogeneity and Complexity3 minutes
4.8 Overcoming AI Implementation Barriers in Healthcare6 minutes

1 assignmentTotal 30 minutes

Quiz 430 minutes

1 pluginTotal 5 minutes

Activity: Drag and drop5 minutes

This module explains how AI supports healthcare professionals in diagnostics and screening processes. Learners explore AI applications in medical imaging, disease detection, risk assessment, and early identification of health conditions. The module provides insights into the role of AI in improving diagnostic support.

What's included

9 videos1 assignment1 plugin

9 videosTotal 39 minutes

5.1 Role of AI in Developing Personalized Treatment Plans5 minutes
5.2 AI in Drug Discovery and Development4 minutes
5.3 Genetic Data Analysis and Treatment Optimization4 minutes
5.4 Applications of Reinforcement Learning in Treatment Optimization5 minutes
5.5 Simulation and Treatment Outcome Prediction4 minutes
5.6 Integration with Robotic Surgery and Other Technologies4 minutes
5.7 Ethical Considerations in Personalized Medicine4 minutes
5.8 Success Stories: Customized Patient Care Approaches4 minutes
5.9 Future Directions in AI-driven Personalized Medicine5 minutes

1 assignmentTotal 30 minutes

Quiz 530 minutes

1 pluginTotal 5 minutes

Activity: Tab5 minutes

This module examines ethical considerations, AI bias, and regulatory requirements in healthcare AI adoption. Learners explore responsible AI practices, patient privacy, transparency, and compliance considerations. The module helps medical assistants understand the importance of trustworthy AI usage.

What's included

8 videos1 assignment1 plugin

8 videosTotal 36 minutes

6.1 Smart Devices for Health Monitoring5 minutes
6.2 IoT in Patient Care: Real-time Data Collection and Analysis4 minutes
6.3 Benefits and Challenges of Wearable Health Technology4 minutes
6.4 Technologies Enabling Remote Monitoring5 minutes
6.5 AI in Remote Chronic Condition Management & Patient Engagement6 minutes
6.6 Transforming Outpatient Services with AI3 minutes
6.7 Reducing Hospital Readmissions5 minutes
6.8 Case Studies: Impact of Remote Monitoring on Patient Outcomes5 minutes

1 assignmentTotal 30 minutes

Quiz 630 minutes

1 pluginTotal 5 minutes

Activity: Case study5 minutes

This module focuses on selecting, evaluating, and implementing AI tools in healthcare settings. Learners explore factors such as usability, effectiveness, integration, and performance assessment. The module prepares medical assistants to support successful AI adoption in healthcare workflows.

What's included

9 videos1 assignment1 plugin

9 videosTotal 36 minutes

7.1 Fraud Detection and Risk Assessment4 minutes
7.2 Customized Insurance Packages and Pricing3 minutes
7.3 Impact of AI on Claims Processing and Management4 minutes
7.4 AI in Hospital Management: Resource Allocation5 minutes
7.5 Optimizing Patient Flow and Service Delivery4 minutes
7.6 Automation of Administrative Tasks4 minutes
7.7 Predictive Analytics in Resource Management4 minutes
7.8 AI in Emergency Response and Epidemic Outbreaks4 minutes
7.9 Strategic Planning with AI Insights5 minutes

1 assignmentTotal 30 minutes

Quiz 730 minutes

1 pluginTotal 5 minutes

Activity: Tab5 minutes

This module explores cybersecurity challenges and emerging developments in healthcare AI. Learners understand data protection, security practices, and evolving AI technologies shaping the healthcare industry. The module prepares medical assistants to work safely with future AI-driven healthcare solutions.