AI for Healthcare Training Plan



Leverage cutting-edge AI technologies for more accurate and efficient patient care in this corporate bootcamp.

TOP-RATED COURSE + UNIQUE APPROACH

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STUDENTS HAVE TAKEN OUR COURSES

LIFETIME ACCESS (INCLUDING UPDATES)

CERTIFICATE OF COMPLETION

Bootcamp Curriculum

From predictive analytics to disease detection and diagnosis, each session delves into cutting-edge applications. 

  • Unleash the power of AI in health records management and embrace personalized medicine for tailored treatment plans.
  • Navigate ethical and privacy considerations to ensure responsible AI implementation.
  • Explore the role of AI in telemedicine and remote patient monitoring, transforming healthcare delivery.

Consulting / Development Package:

$14,190

$7,095

Live Classes Package:

$9,990

$4,995

Session 1: Introduction to AI in Healthcare

Session 1 (2 hours)

  • Overview of AI and its potential applications in healthcare
  • Discussion of current state and future trends
  • Setting up a local development environment for healthcare AI projects

Homework Assignment: Identify a healthcare problem that you think can be solved/improved by AI, and write a short report on how you envision the AI solution would work.

Session 2: Predictive Analytics in Healthcare

Session 2 (2 hours)

  • Overview of predictive analytics in healthcare
  • Using AI to predict disease outbreaks, patient outcomes, resource utilization, etc.
  • Introduction to time series analysis for health monitoring

Homework Assignment: Use a public health dataset to build a simple predictive model using the concepts learned in class.

Session 3: AI in Disease Detection and Diagnosis

Session 3 (2 hours)

  • Overview of AI’s role in disease detection and diagnosis
  • Understanding the use of medical imaging analysis and Natural Language Processing (NLP) in AI-powered diagnosis
  • Discussion on AI and rare diseases

Homework Assignment: Review a research paper on AI’s role in disease detection and summarize the methodology, findings, and implications.

Session 4: Health Records Management with AI

Session 4 (2 hours)

  • Introduction to Electronic Health Records (EHRs)
  • AI for automatic data entry and extraction in EHRs
  • Using AI to analyze EHRs for clinical decision support

Homework Assignment: Write a proposal for an AI-based tool that could improve some aspect of EHR management in your organization.

Session 5: Personalized Medicine and AI

Session 5 (2 hours)

  • Introduction to personalized medicine
  • Role of AI in genomics and pharmacogenomics
  • AI for patient risk stratification and treatment planning

Homework Assignment: Design a concept for an AI tool that could support personalized medicine in a specific healthcare domain.

Session 6: Ethical and Privacy Considerations in Healthcare AI

Session 6 (2 hours)

  • Introduction to the ethical considerations associated with AI in healthcare
  • Discussion on bias, fairness, accountability, transparency, and patient autonomy
  • Review of relevant case studies
  • Understanding data privacy standards in healthcare (HIPAA, GDPR, etc.)
  • Role of AI in maintaining data privacy and security
  • Mitigating the risks of data breaches in AI applications

Homework Assignment: Write a reflection paper on the ethical implications of a healthcare AI tool you read about or used.

Session 7: AI in Telemedicine and Remote Patient Monitoring
  • Introduction to telemedicine and the role of AI
  • Exploring AI applications in remote patient monitoring, predicting patient emergencies, and enhancing patient-provider communication
  • Discussion on the challenges and benefits of AI-integrated telemedicine

Homework Assignment: Evaluate a case study of an AI-integrated telemedicine platform, discussing its functionality, benefits, and potential improvements.

Session 8: Capstone Project - Developing an AI Healthcare Solution

Session 8 (2 hours)

  • Overview of the capstone project: students will conceptualize and develop a proposal for an AI solution to a chosen healthcare problem
  • Discussion on selecting the problem, researching existing solutions, conceptualizing the AI tool, and considering its potential impact, ethical implications, and data privacy concerns
  • Workshop: Instructors provide guidance and feedback as students begin working on their projects

Homework Assignment: Finalize and present the proposal for your AI healthcare solution, explaining its functionality, potential impact, and the considerations for ethics and data privacy.

Bootcamp Details

Consulting / Development Package:

$14,190

$7,095

Live Classes Package:

$9,990

$4,995

  • 8 sessions of live classes (2 hours per session) covering the advanced use of AI in healthcare, such as predictive analytics, disease detection, health records management, and personalized medicine.
  • Exploration of the ethical considerations and data privacy standards associated with AI in healthcare.
  • Engage with other classmates learning about AI in healthcare.
  • Lifetime access to an AI Healthcare masterclass.
  • Membership to the AI for Healthcare Mastery community for peer support.
  • Instructor-led support via the AI for Healthcare Mastery community.
  • Unlimited email and chat Q&A related to AI in healthcare.

Consulting / Development Package

  • Enrolment in upcoming AI for Healthcare Live Classes (8 sessions, 2 hours per session).
  • Assistance in developing a custom project that involves the application of AI in healthcare, which may include software development.
  • 10 hours of one-on-one video/phone consultations or software development time with our experts.

Any Questions?

Our team is always happy to help with any inquiry. We will get back to you within 2 business days. 

What Mammoth Students are Saying

The instructor quickly introduces the basics and then dives right into app development, which is great for those who learn by doing.
Natasha Godwin
Thank you John! It's a great course. One hour is short, but I learnt everything I need to know to start coding HTML5.
Yvonne Wu The Independent
I never knew it would be this easy. I've never coded for iOS before but John make it so easy to understand, this course is clear and precise.
Jared Smith Visual Artist
Far Best Instructor on Udemy when Learning iOS. John Bura takes the approach for each video in a way that I love!
James Tuttle
Just an amazing amount of content, very easy to follow along and combine previous lessons with current ones.
Mike FordeGame Dev.
Looks to be a good high-level grounding into the basics of machine learning and data science. Easy to understand.
Richard L BurnettEmergency Management
I have a few Mammoth Courses, but this is the best one so far. John Bura is funny, he explains everything well, very understandable even for beginners. I fully recommend this course for newbies.
Gabriele GilesApp Developer
The course moved at a pace that I appreciated and the sample projects covered, were of such a nature that it covered anything I would encounter while working with the engine myself. All in all this was exactly what I wanted.
Raymond BeetsCommercial Programmer
These tutorials have helped me create course material, which in turn has helped all levels of students; to get the most from UE4.
Jason MatthewsGame Development College Instructor
Yes. It has helped me understand the basics whereas other tutorials seem to think I already knew a bit about coding.
Kane Patterson
I don't know much about coding, making games, or even computers, but this guy sure does make it simple.
Joshua Martinez
I touched ruby in a bootcamp last summer, so expected to know the basics. I have learned a whole lot even in the beginning. It is well explained and great for beginners as well as intermediary devs.
Joshua MartinezVincent MD