Intermediate

AI for Healthcare & Life Sciences

Apply AI to transform patient care and medical research

Build AI systems for medical imaging, clinical decision support, EHR analysis, and drug discovery.

Enroll Now — $1,999 See Curriculum
190
Total Hours
14
Weeks
7
Modules
~14
Hrs/Week
Course Components
📘
12
Topics
🔬
4
Hands-on Labs
📋
4
Quizzes
Legend
Topic
Exercise
Lab
Quiz
Mini Project
Capstone
Activity
Reading
Forum
Career
Complete Course Structure & Table of Contents
📡
Live instructor-led delivery · classes run 3 days a week. The topics below are covered in live sessions; recorded versions will be available after class delivery.
MOD 01
Healthcare Data & Medical Imaging
EHR data, DICOM, and medical image analysis
4h 41m ▾
📘
Healthcare Data Landscape Topic
EHR, DICOM, HL7 FHIR, HIPAA compliance, de-identification
28 min
📘
Medical Image Classification Topic
X-ray classification, CT scan analysis, transfer learning for radiology
35 min
📘
Medical Image Segmentation Topic
U-Net for organ segmentation, tumor detection, 3D segmentation
38 min
🔬
Medical Imaging Lab Lab 🧪 GPU Training · Advanced
Build a chest X-ray classifier and organ segmentation model
2h 30m
📋
Healthcare Data & Medical Imaging - Module Test Quiz
Test your knowledge of Healthcare Data & Medical Imaging
30 min
MOD 02
Clinical NLP & Decision Support
Clinical text mining, predictive models, and risk scoring
4h 7m ▾
📘
Clinical NLP Pipeline Topic
Medical NER, clinical text preprocessing, temporal reasoning
32 min
📘
Predictive Models for Clinical Outcomes Topic
Readmission prediction, risk scoring, survival analysis
35 min
📘
RAG for Medical Knowledge Topic
Building medical knowledge bases, clinical trial matching
30 min
🔬
Clinical NLP Lab Lab 🧪 Jupyter Notebook · Intermediate
Build a clinical NER system and patient risk model
2 hrs
📋
Clinical NLP & Decision Support - Module Test Quiz
Test your knowledge of Clinical NLP & Decision Support
30 min
MOD 03
Drug Discovery & Genomics AI
Molecular ML, drug-target prediction, and genomic analysis
4h 45m ▾
📘
Molecular Representations & GNNs Topic
SMILES, molecular graphs, graph neural networks for molecules
38 min
📘
Drug-Target Interaction Prediction Topic
Binding affinity prediction, virtual screening, de novo drug design
35 min
📘
Genomic Variant Analysis Topic
Variant calling, pathogenicity prediction, pharmacogenomics
32 min
🔬
Drug Discovery Lab Lab 🧪 GPU Training · Advanced
Train a molecular property predictor with graph neural networks
2h 30m
📋
Drug Discovery & Genomics AI - Module Test Quiz
Test your knowledge of Drug Discovery & Genomics AI
30 min
MOD 04
Regulatory & Clinical Validation
FDA SaMD framework, clinical trials for AI, and deployment
3h 30m ▾
📘
FDA AI/ML Framework (SaMD) Topic
Regulatory pathways, 510(k), pre-submission, TPLC
30 min
📘
Clinical Validation & Bias Detection Topic
Prospective validation, subgroup analysis, fairness in health AI
28 min
📘
Deploying Health AI Systems Topic
FHIR integration, clinician-AI collaboration, monitoring in production
32 min
🔬
Clinical Validation Lab Lab 🧪 Jupyter Notebook · Intermediate
Design a clinical validation study and conduct a bias audit
1h 30m
📋
Regulatory & Clinical Validation - Module Test Quiz
Test your knowledge of Regulatory & Clinical Validation
30 min
Live Instructor-Led Batches

Learn with a cohort — live Zoom sessions, Q&A, and lifetime access to recordings.

🐦
Early Bird — 5% off when you enroll 10+ days before your batch starts. Discount auto-applies at checkout. No code needed.
upcoming 🐦 Early Bird 5% off

AI for Healthcare & Life Sciences — June Cohort 2026

Instructor: AI Labs Instructor
  • 📅Jun 15, 2026 – Sep 20, 2026
  • 🕐Tuesdays & Thursdays, 7–9 PM CST
$1,999 $1,899.05 You save $100
upcoming 🐦 Early Bird 5% off

AI for Healthcare & Life Sciences — July Cohort 2026

Instructor: AI Labs Instructor
  • 📅Jul 15, 2026 – Oct 20, 2026
  • 🕐Tuesdays & Thursdays, 7–9 PM CST
$1,999 $1,899.05 You save $100
Ready to start?

$1,999

Online lectures + Medical imaging labs + Clinical data labs

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Frequently asked questions about this program

What level is the AI for Healthcare & Life Sciences program? +
Intermediate. Total program length is 14 Weeks (190+ Hours of combined live instruction and lab time).
What prerequisites do I need? +
Python proficiency; Basic ML knowledge; Healthcare domain experience helpful but not required
Does this course include hands-on lab work? +
Yes. This program includes hands-on lab time in 4 cloud lab environments provisioned by AI Labs. Every student gets a personal cloud workspace plus on-prem workstation access at our Houston Training Center.
Is this delivered online or in person? +
Both. The default delivery is Online lectures + Medical imaging labs + Clinical data labs. In-person sessions are available at our Houston Training Center for any student who prefers on-site delivery.
What roles does this program prepare me for? +
Healthcare AI Engineer, Clinical Data Scientist, Medical Imaging AI Developer, Health Informatics Specialist.
Do I receive a certificate at the end? +
Yes. Every program ends with a capstone project and a verifiable AI Labs completion certificate. Certificates are issued via our LMS and include the capstone work as a portfolio link.
How much does the program cost and are payment plans available? +
Program tuition is $1,999. Most students use our 2-installment plan (50% at enrollment, 50% midway through). Enterprise + nonprofit pricing is available — contact us for a quote.

Labs used in this course

Hands-on environments you'll spin up during the program.

Medical Imaging & Clinical Data Lab

HIPAA-aligned environment for healthcare AI development. Pre-loaded with de-identified medical imaging datasets (X-ray, CT, MRI), clinical N…

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GPU Training Lab

Single-GPU environment for training deep learning models, running computer vision pipelines, and experimenting with neural network architect…

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RAG & Vector Database Lab

Pre-configured environment for building retrieval-augmented generation systems. Includes vector databases, embedding model APIs, document pr…

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Jupyter Notebook Lab

Standard Python development environment for data exploration, visualization, and introductory ML. Pre-configured with Python 3.11, NumPy, Pa…

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