Biomedical Engineering Courses

Applied Math for Materials Science and Engineering

Master fundamental calculus, power series, and differential equations for materials science and engineering applications, building a strong mathematical foundation for physical science research.

• Coursera
• 7 hours 21 minutes
• Self-Paced
• Paid Course

Applied Math for Materials Science and Engineering (Part 2)

Master multivariable calculus, infinite series, and complex numbers with direct applications to materials science, including coordinate transformations, convergence tests, and LCR circuit analysis.

• Coursera
• 13 hours
• Self-Paced
• Paid Course

Sensors and Systems for Biomedical Applications

11 ratings at Coursera

Explore advanced biomedical sensor technologies, from implantable electrodes to cancer diagnostics, and master the integration of AI and spectroscopy for innovative healthcare solutions and medical device development.

• Coursera
• 22 hours 29 minutes
• Self-Paced
• Paid Course

Python Project for Data Engineering

857 ratings at Coursera

Hands-on data engineering project applying Python skills for ETL processes, web scraping, and API usage. Develop practical experience in data extraction, transformation, and database loading.

• Coursera
• 10 hours 16 minutes
• Self-Paced
• Paid Course

Essentials of Prompt Engineering

1005 ratings at Coursera

Learn to craft effective prompts, optimize for various use cases, explore advanced techniques, and identify potential risks in prompt engineering.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Eindhoven University of Technology;  4TU.Ethics

Ethics, Technology and Engineering

831 ratings at Coursera

Explore ethical considerations in engineering, developing moral competencies to address professional challenges and societal impacts of technological solutions.

• Coursera
• 19 hours 22 minutes
• Self-Paced
• Paid Course

DAW for Beginners:The Basics of Voice Over Engineering (Live Online)

735 ratings at CourseHorse

Master the fundamentals of DAW software for voiceover engineering with expert guidance.

• CourseHorse
• 2 hours
• Self-Paced
• $45.00

Career Certificate

DeepLearning.AI Data Engineering

607 ratings at Coursera

Comprehensive program teaching data engineering fundamentals, AWS tools, and real-world practices. Covers data lifecycle, ingestion, storage, modeling, and serving for analytics and machine learning applications.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

DeepLearning.AI;  Amazon Web Services

Introduction to Data Engineering

499 ratings at Coursera

Explore the data engineering lifecycle, from data generation to serving, and build an end-to-end system. Gain practical skills in gathering requirements, choosing tools, and applying data architecture principles.

• Coursera
• 17 hours 36 minutes
• Self-Paced
• Paid Course

Data Analytics Engineering: Probability & Techniques

Explore data analytics fundamentals, from Python basics to advanced techniques. Learn data structures, wrangling, and exploratory analysis to extract meaningful insights from real-world datasets.

• Coursera
• 19 hours 23 minutes
• Self-Paced
• Paid Course

NLP in Engineering: Concepts & Real-World Applications

Master practical NLP techniques and their engineering applications through word embeddings, neural networks, and deep learning models. Implement advanced methods for real-world problem-solving in natural language processing.

• Coursera
• 13 hours 28 minutes
• Self-Paced
• Paid Course

Practical Engineering Data Mining: Techniques and Uses

Master data mining fundamentals and techniques through hands-on engineering applications, from preprocessing to clustering, while implementing real-world case studies across manufacturing, healthcare, and business sectors.

• Coursera
• 11 hours 7 minutes
• Self-Paced
• Paid Course

Applied Natural Language Processing in Engineering Part 1

Discover NLP fundamentals from text classification to neural networks, optimization techniques, word embeddings, and parsing methods for engineering applications.

• Coursera
• 1 day 3 hours 45 minutes
• Self-Paced
• Paid Course

Applied Natural Language Processing in Engineering Part 2

Master advanced NLP techniques including RNNs, transformers, sentiment analysis, and neural machine translation through hands-on implementation with PyTorch and Hugging Face frameworks.

• Coursera
• 1 day 9 hours 37 minutes
• Self-Paced
• Paid Course

Web Design and User Experience Engineering Part 1

Discover HTML, CSS, and JavaScript fundamentals to build accessible, responsive web interfaces with semantic markup, modern layouts, animations, and interactive features.

• Coursera
• 2 days 2 hours 36 minutes
• Self-Paced
• Paid Course