Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Download Course Brochure

Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

AI for Healthcare

Course Code: C1018

What's This Course About

The integration of artificial intelligence (AI) in healthcare is transforming the industry. Stay ahead of the curve and gain a comprehensive understanding of AI applications, techniques, and ethics in healthcare with our online course. Led by healthcare professionals and AI experts, this course will equip you with the knowledge and skills to improve diagnosis, treatment, and patient care using cutting-edge techniques like machine learning, deep learning, natural language processing, and computer vision.

You'll also explore ethical considerations and regulatory frameworks related to AI in healthcare. Through hands-on projects and case studies, you'll develop practical solutions to real-world healthcare challenges. This course is designed for professionals looking to advance their knowledge and skills in AI for healthcare. Join us now to unlock the future of healthcare.

WSQ Funding

Full Fee ₵7,200.00 Before GST
GST ₵648.00 9% of fee
Baseline Nett ₵4,248.00 SG/PR age 21+ · 50% funded
MCES / SME Nett ₵2,808.00 SG age 40+ · 70% funded
Funding and Grant Applications

For WSQ funding, please checkout the details at WSQ - Data Analytics and AI for Healthcare

Course Fee

₵7,200.00

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to info@tertiarycourses.com.gh and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic1 Introduction to AI in Healthcare

  • Understanding the Benefits of AI in Healthcare
  • Interpreting Data Patterns in Healthcare
  • Extracting Insights from Healthcare Data
  • Case Studies:

Topic 2 Data Science and Business Insights

  • Evaluating Data Science Solutions for Healthcare
  • Managing Data Science Projects in Healthcare
  • Prioritizing Data Science Projects for Maximum ROI
  • Customizing Data Models for Healthcare Hypotheses
  • Case Studies:

Topic 3 Data Mining and Analysis

  • Running Complex Data Mining Models in Healthcare
  • Managing Organizational Capacity for Data Science Projects
  • Exploring Healthcare Data Sets Visually and Analytically
  • Case Studies:

Topic 4 Advanced Data Science Techniques

  • Communicating the Results of Data Science Projects
  • Making Recommendations Based on Data Insights
  • Application of Statistics and Data Mining in Healthcare
  • Tools and Techniques for Advanced Data Modeling
  • Measuring the Capability of the Data Science Team
  • Case Studies:

Course Info

Prerequisite

This is a intermediate course. The following knowledge is assumed:

  • Basic Python

Software Requirement

Please install the following software prior to the class

1. Pycharm : - Install Pycharm (https://www.jetbrains.com/pycharm/download/)

2 . Install Tensorflow on Mac

Please follow this guide to install Tensorflow on Mac https://www.tensorflow.org/install/install_mac

Alternatively, you can enter the following commands on your Mac terminal

pip3 install tensorflow

3 . Install Tensorflow on Window

Please follow this guide to install Tensorflow on Window https://www.tensorflow.org/install/install_windows

Tensorflow only support Python 3.5, you can install Tensorflow in Python 3.5 the following ways:

Job Roles

Job Roles

  • Data Scientist
  • Healthcare Analyst
  • Clinical Researcher
  • Medical Practitioner
  • AI Developer
  • Machine Learning Engineer
  • Health Informatics Specialist
  • Biostatistician
  • Medical Imaging Specialist
  • Robotics Engineer
  • Bioinformatician
  • Pharmacologist
  • Genetic Counselor
  • Public Health Specialist
  • Medical Writer

Trainers

Trainers

is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies

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