Engineering Drawings Courses

UML Class Diagrams for Software Engineering

25 ratings at edX

Learn how unified modeling language (UML) class diagrams are created and used to visualize and conceptualize the design of a system.

• edX
• 3 weeks, 2-3 hours/week
• Self-Paced
• Free Online Course (Audit)

Mathematical Techniques for Problem Solving in Engineering and Science

Learn fundamental mathematical techniques from Linear Algebra and Calculus used in STEM domains, critically reflect on these through pertinent examples, and practice the concepts with the use of applets and exercises.

• edX
• 6 weeks, 15-20 hours/week
• Self-Paced
• Free Online Course (Audit)

Solving Differential Equations in Science and Engineering

Discover how differential equations help explain the world. Learn to analyze, solve, and apply them across real-world systems in this foundational course – using pen, paper and mathematics.

• edX
• 78 hours
• Self-Paced
• Free Online Course (Audit)

Credential

DeepLearning.AI Data Engineering

588 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

Model-Based Automotive Systems Engineering

5 ratings at edX

Learn how to model and simulate system dynamics in automotive engineering

• edX
• 7 weeks, 10-20 hours/week
• Self-Paced
• Free Online Course (Audit)

Road Traffic Safety in Automotive Engineering

Learn the fundamentals of passive and active safety in automotive engineering

• edX
• 9 weeks, 4-10 hours/week
• Self-Paced
• Free Online Course (Audit)

DeepLearning.AI;  Amazon Web Services

Introduction to Data Engineering

482 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

Engineering Probability and Statistics Part 1

Discover foundational statistics and probability concepts including variables, distributions, and data analysis techniques for engineering applications.

• Coursera
• 22 hours 22 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

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

Web Design and User Experience Engineering Part 2

Dive into advanced web UI/UX development with JavaScript, React, accessibility, and deployment strategies for building professional web applications.

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

Application Engineering and Development Part 1

Master Java programming fundamentals and object-oriented design principles through hands-on GUI development, inheritance, polymorphism, and real-world university system modeling.

• Coursera
• 1 day 4 hours 36 minutes
• Self-Paced
• Paid Course

Engineering Probability and Statistics Part 2

Explore statistical inference through hypothesis testing, confidence intervals, ANOVA, and sampling distributions to solve engineering problems with data-driven insights.

• Coursera
• 1 day 42 minutes
• Self-Paced
• Paid Course