Structural Engineering Courses

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

Business Process Engineering Part 1

Explore business process engineering fundamentals, covering process mapping, stakeholder analysis, design thinking, and agile techniques to optimize workflows and drive continuous improvement in digital-age organizations.

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

Business Process Engineering Part 2

Master business process engineering with agile techniques, data visualization, and lean methodologies to optimize workflows, drive continuous improvement, and integrate complex information systems into core operations.

• Coursera
• 16 hours
• 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

Application Engineering and Development Part 2

Master object-oriented Java programming with advanced pricing models, ecosystem design, recursive methods, AI integration, and user interface development for real-world applications.

• Coursera
• 9 hours 29 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

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

Engineering Project Management Part 1

Explore project management fundamentals covering planning, budgeting, risk management, and team leadership through systems development lifecycle framework with practical tools.

• Coursera
• 11 hours 51 minutes
• Self-Paced
• Paid Course

Engineering Project Management Part 2

Master advanced project management techniques including network scheduling, resource planning, earned value management, and project control mechanisms for successful engineering projects.

• Coursera
• 13 hours 56 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