AI for Healthcare
5 weeks intensive
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What is it?
Embark on a transformative journey at the intersection of Artificial Intelligence (AI) and healthcare with our comprehensive course through our online ”Crash Course in AI for Healthcare” where multiple axes and angles of applying and developing AI-driven solutions in medicine and healthcare systems will be explored.
Healthcare data is known to be diverse, represented under various formats and modalities,
high-dimensional and imbalanced. Throughout this advanced 100% practical course, different pipelines behind implementing machine learning models depending on the data format will be tackled and covered in detail.
Time Commitment
Time spent on class material can vary from student to student, but as a general rule, plan on spending at least 4 hours online each week (online session), plus 4-6 hours of work outside of class on readings and assignments in addition to interactive Q&A sessions.
What are the course objectives?
● Learn how to preprocess different types of medical data.
● Learn how to find the best machine learning model and deploy it for a given medical diagnosis task.
● Learn about interacting with molecules, gene expression and protein sequences in Python.
● Learn how to create interactive and automated data-oriented medical web applications.
● Learn how to preprocess medical images and build deep learning models on top of them.
● Learn how to interpret machine learning models
Skills You’ll Gain
● Python, Pandas, sklearn, Eli5, Keras, OpenCV, RDKit, BioPython.
What is the course schedule?
Start date: June 18th, 2024
Fully online
Duration: 120 min per session
Recurrence: 2x week
# of occurrence: 8 x sessions
Days: Tuesdays and Saturdays
Time: 20h-22h Algeria time
How much does it cost?
29,900 DZD if paid before May15th, 2024 (then 34,000 DZD)
Payment through CCP, credit/debit card or PayPal (see more details here)
Sofiane Ouaari, Worked as a software engineer in a FinTech startup in Constantine in 2020.
Awarded the “Stipendium Hungaricm” scholarship which allowed me to pursue a master degree in Data Science at the Eötvös Lorand University (ELTE) in Budapest Hungary
He worked as a part-time machine learning engineer in a Hungarian company “Webpredict.io” where we leveraged and implemented NLP and NLG-oriented technologies.
Currently doing a PhD in Tübingen, Germany in the sphere of “Privacy-Preserving Machine Learning for Healthcare” within the “International Max-Planck Research School for Intelligent Systems” (IMPRS-IS) doctoral program.
Who is this Program For?
Healthcare professionals seeking to harness the potential of Artificial Intelligence to enhance patient care, diagnosis, and treatment.
Medical practitioners eager to stay at the forefront of technological advancements shaping the healthcare landscape.
Researchers and academics aiming to integrate AI methodologies into their medical research endeavors.
Healthcare administrators and policymakers interested in understanding the transformative role of AI in healthcare delivery and management.
Data scientists and analysts looking to specialize in the unique challenges and opportunities presented by healthcare data analytics.
Students and graduates pursuing careers in healthcare, data science, or related fields, keen on acquiring specialized skills at the intersection of AI and healthcare.
