Is this course applicable in real clinical settings?

Yes. Projects and case studies are designed for immediate application in diagnostics, treatment planning, and research.

Can healthcare administrators benefit?

Absolutely. Learn to optimize workflows, resource management, and hospital operations with AI-driven strategies.

Do I need coding skills to complete the course?

No coding is required; labs provide templates so you can implement AI applications without prior programming knowledge.

What is the capstone project?

You’ll design AI solutions for real-world healthcare challenges, like predictive diagnostics and automated data analysis.

How is the certification earned?

Complete the course and pass the online proctored exam to receive a recognized digital badge and credential.

How does this course help with predictive analytics?

Learn to analyze patient data, forecast outcomes, and support proactive clinical decision-making with AI tools.

Can this course prepare me for research or tech-driven roles?

Yes. It equips medical practitioners and researchers with AI skills relevant for clinical innovation, digital health, and healthcare technology roles.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

AI for Medical Professionals

AI for Medical Professionals

Instructor: AI CERTs Team

Included with Coursera Plus

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10 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

10 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Enhance Diagnostics: Use AI tools like Python and TensorFlow to improve diagnostic accuracy and patient care decisions.
Data-Driven Clinical Insights: Apply predictive analytics and ML models for personalized treatment planning and outcome forecasting.
Automate Medical Workflows: Leverage NLP, Keras, and Hugging Face for automating tasks like report generation and clinical documentation.
Visualize & Interpret Data: Analyze healthcare data using Tableau, Matplotlib, and SQL to drive actionable insights and research outcomes.

Skills you'll gain

Details to know

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There are 10 modules in this course

AI For Medical Profressionals course equips medical professionals to harness the power of AI in clinical practice, bridging medicine and cutting-edge technology. This certification delivers practical insights into AI-driven diagnostics, predictive analytics, and clinical decision support, empowering doctors to make faster, more accurate decisions while enhancing patient outcomes. Through hands-on projects and real-world case studies, participants will explore AI applications in medical imaging, personalized treatment planning, and workflow optimization.

Designed for medical practitioners, students, administrators, and researchers, the program balances technical understanding with clinical relevance, covering foundational data analysis, natural language processing, and generative AI in healthcare settings. Ethical considerations, fairness, and equitable AI use are embedded throughout, ensuring responsible adoption in real-world scenarios. By the end of the course, learners will confidently evaluate, implement, and monitor AI tools in clinical environments, improving operational efficiency and patient care quality. Your journey concludes with the official certification exam, designed to validate your applied knowledge and skills. Passing earns an industry-recognized credential and digital badge, demonstrating your readiness to lead AI-driven innovation in healthcare and reinforcing your professional expertise in an increasingly tech-enabled medical landscape.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

What's included

11 videos1 assignment2 plugins

11 videosTotal 138 minutes

Course Introduction5 minutes
Audiobook Introduction6 minutes
Audiobook 1 -What is AI for Doctors43 minutes
Podcast 1 - What is AI for Doctors38 minutes
1.1 From Decision Support to Diagnostic Intelligence3 minutes
1.2 What Makes AI in Medicine Unique?5 minutes
1.3 Types of Machine Learning in Medicine7 minutes
1.4 Common Algorithms and What They Do in Healthcare8 minutes
1.5 Real-World Use Cases Across Medical Specialties9 minutes
1.6 Debunking Myths About AI in Healthcare5 minutes
1.7 Real Tools in Use by Clinicians Today5 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

2 pluginsTotal 30 minutes

Module 1: What is AI for Doctors? 15 minutes
ACTIVITY: Multiple Choice15 minutes

What's included

8 videos1 assignment2 plugins

8 videosTotal 157 minutes

Audiobook 2 -AI in Diagnostics & Imaging77 minutes
Podcast 2 - AI in Diagnostics & Imaging44 minutes
2.1 Introduction to Neural Networks: Unlocking the Power of AI9 minutes
2.2 Convolutional Neural Networks (CNNs) for Visual Data: Seeing with AI's Eyes5 minutes
2.3 Image Modalities in Medical AI: AI's Multi-Modal Vision5 minutes
2.4 Model Training Workflow: From Data Labeling to Deployment – The AI Lifecycle in Medicine4 minutes
2.5 Human-AI Collaboration in Diagnosis: The Power of Augmented Intelligence3 minutes
2.6 FDA-Approved AI Tools in Diagnostic Imaging: Trust and Validation6 minutes

1 assignmentTotal 30 minutes

Quiz 230 minutes

2 pluginsTotal 30 minutes

Module 2: AI in Diagnostics & Imaging 15 minutes
ACTIVITY: Accordion15 minutes

What's included

7 videos1 assignment2 plugins

7 videosTotal 177 minutes

Audiobook 3 -Introduction to Fundamental Data Analysis85 minutes
Podcast 3 - Introduction to Fundamental Data Analysis52 minutes
3.1 Understanding Clinical Data Types—EHRs, Vitals, Lab Results8 minutes
3.2 Structured vs. Unstructured Data in Medicine7 minutes
3.3 Role of Dashboards and Visualization in Clinical Decisions8 minutes
3.4 Pattern Recognition and Signal Detection in Patient Data10 minutes
3.5 Identifying At-Risk Patients via Trends and AI Scores5 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

2 pluginsTotal 30 minutes

Module 3: Introduction to Fundamental Data Analysis15 minutes
ACTIVITY: Multiple Select15 minutes

What's included

7 videos1 assignment2 plugins

7 videosTotal 219 minutes

Audiobook 4 -Predictive Analytics & Clinical Decision Support – Empowering Proactive Patient Care128 minutes
Podcast 4 - Predictive Analytics & Clinical Decision Support – Empowering Proactive Patient Care60 minutes
4.1 Predictive Models for Risk Stratification – Sepsis and Hospital Readmissions5 minutes
4.2 Logistic Regression, Decision Trees, Ensemble Models5 minutes
4.3 Real-Time Alerts – Early Warning Systems (MEWS, NEWS)5 minutes
4.4 Sensitivity vs. Specificity – Metric Choice by Clinical Need6 minutes
4.5 ICU and ER Use Cases for AI-Triggered Interventions6 minutes

1 assignmentTotal 30 minutes

Quiz 430 minutes

2 pluginsTotal 30 minutes

Module 4: Predictive Analytics & Clinical Decision Support – Empowering Proactive Patient Care15 minutes
ACTIVITY: Problem Statement15 minutes

What's included

9 videos1 assignment2 plugins

9 videosTotal 197 minutes

Audiobook 5 -NLP and Generative AI in Clinical Use92 minutes
Podcast 5 - NLP and Generative AI in Clinical Use65 minutes
5.1 Foundations of NLP in Healthcare5 minutes
5.2 Large Language Models (LLMs) in Medicine7 minutes
5.3 Prompt Engineering in Clinical Contexts7 minutes
5.4 Generative AI Use Cases – Summarization, Counselling Scripts, Translation6 minutes
5.5 Ambient Intelligence: Next-Gen Clinical Documentation3 minutes
5.6 Limitations & Risks of NLP and Generative AI in Medicine5 minutes
5.7 Case Study3 minutes

1 assignmentTotal 30 minutes

Quiz 530 minutes

2 pluginsTotal 30 minutes

Module 5: NLP and Generative AI in Clinical Use15 minutes
ACTIVITY: Tab15 minutes

What's included

8 videos1 assignment2 plugins

8 videosTotal 152 minutes

Audiobook 6 -Ethical and Equitable AI Use69 minutes
Podcast 6 - Ethical and Equitable AI Use49 minutes
6.1 Algorithmic Bias – Race, Gender, Socioeconomic Impact7 minutes
6.2 Explainability and Transparency (SHAP and LIME)8 minutes
6.3 Validating AI Across Populations6 minutes
6.4 Regulatory Standards – HIPAA, GDPR, FDA/EMA Compliance4 minutes
6.5 Drafting Ethical AI Use Policies4 minutes
6.6 Case Study: Biased Pulse Oximetry Detection2 minutes

1 assignmentTotal 30 minutes

Quiz 630 minutes

2 pluginsTotal 30 minutes

Module 6: Ethical and Equitable AI Use15 minutes
ACTIVITY: True or False15 minutes

What's included

9 videos1 assignment2 plugins

9 videosTotal 140 minutes

Audiobook 7 -Evaluating AI Tools in Practice69 minutes
Podcast 7 - Evaluating AI Tools in Practice35 minutes
7.1 Core Metrics: Understanding the Basics4 minutes
7.2 Confusion Matrix & ROC Curve Interpretation3 minutes
7.3 Metric Matching by Clinical Context4 minutes
7.4 Interpreting AI Outputs: Enhancing Clinical Decision-Making4 minutes
7.5 Critical Evaluation of Vendor Claims: Ensuring Reliability and Effectiveness5 minutes
7.6 Red Flags in Commercial AI Tools: Recognizing and Mitigating Risks6 minutes
7.7 Checklist: “10 Questions to Ask Before Buying AI Tools”5 minutes

1 assignmentTotal 30 minutes

Quiz 730 minutes

2 pluginsTotal 30 minutes

Module 7: Evaluating AI Tools in Practice15 minutes
ACTIVITY: Carousel15 minutes

What's included

12 videos1 assignment2 plugins

12 videosTotal 261 minutes

Audiobook 8 -Implementing AI in Clinical Settings152 minutes
Podcast 8 - Implementing AI in Clinical Settings54 minutes
8.1 Identifying Department-Specific AI Use Cases6 minutes
8.2 Mapping AI to Workflows (Pre-diagnosis, Treatment, Follow-up) 4 minutes
8.3 Pilot Planning: Timeline, Data, Feedback Cycles3 minutes
8.4 Team Roles – Clinical Champion, AI Specialist, IT Admin7 minutes
8.5 Monitoring AI Errors – Root Cause Analysis6 minutes
8.6 Change Management in Clinical Teams5 minutes
8.7 Example: ER Workflow with Triage AI Integration4 minutes
8.8 Scaling AI Solutions Across the Healthcare System3 minutes
8.9 Evaluating AI Impact and Performance Post-Deployment6 minutes
Course Summary4 minutes

1 assignmentTotal 30 minutes

Quiz 830 minutes

2 pluginsTotal 30 minutes

Module 8: Implementing AI in Clinical Settings 15 minutes
ACTIVITY: Case Study15 minutes

What's included

1 reading

What's included

1 reading

Instructor

AI CERTs Team

AI CERTs

19 Courses1,331 learners

Offered by

AI CERTs

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Frequently asked questions

No. The course introduces AI concepts specifically for medical professionals, with guided labs and templates.

You’ll learn to use AI insights for faster, more accurate diagnoses, personalized treatment, and predictive analytics.

Hands-on experience includes Python, TensorFlow, Keras, SQL, Jupyter Notebooks, Tableau, Matplotlib, and Hugging Face Transformers.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.