Structural Engineering Courses

Numerical Methods Applied to Chemical Engineering

Apply numerical methods to chemical engineering problems: eigenvalues and SVD, Newton-Raphson solvers, ODE/DAE and PDE integration, constrained optimization, Monte Carlo, and stochastic chemical kinetics.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Engineering Design and Rapid Prototyping

Conceive, design and fabricate a structural component under set requirements, iterating through prototyping and validation, then optimize the design with structural analysis software.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Computational Science and Engineering I

Apply linear algebra to engineering problems: eigenvalues and positive definite matrices, springs, trusses and networks, finite differences and finite elements, Laplace's equation, Fourier series, convolution and the FFT.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Innovations in Textile Engineering: Fibers, Yarns, Nonwovens, & More

Design fiber-based smart materials hierarchically: choose fibers, yarns, and fabric structures, apply textile testing standards, weigh sustainability, and draft a utility patent application.

• MITx Online
• 12 weeks, 5-7 hours a week
• Self-Paced
• Free Online Course

PioPetro

PETROLEUM ENGINEERING LAB Experiments

12 ratings

Explore petroleum engineering lab experiments, covering energy transition, geology, petrophysics, and machine learning applications in the field.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Computer Networking Course - Network Engineering [CompTIA Network+ Exam Prep]

11 ratings

This full college-level computer networking course will prepare you to configure, manage, and troubleshoot computer networks. It will also help you prepare for CompTIA's Network+ exam.

• freeCodeCamp
• 9 hours
• Self-Paced
• Free Video

Career Certificate

Python, Bash and SQL Essentials for Data Engineering

487 ratings at Coursera

Build data engineering foundations: use Python and Pandas, Linux and Bash scripting, SQL scripting, and command-line tools and web apps to access and manage big data.

• Coursera
• 16 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 4 courses

Python and Pandas for Data Engineering

279 ratings at Coursera

Set up a virtual environment with Pandas and Jupyter, use sequences, dictionaries, sets and generators, select DataFrame rows and columns, and commit code from Vim or VS Code.

• Coursera
• 4 weeks, 13 hours a week
• Self-Paced
• Paid Course

Linux and Bash for Data Engineering

136 ratings at Coursera

Learn Linux shell fundamentals for data engineering: configure Bash and zsh, use shell variables and standard in/out, build command-line tools, and manage files and permissions.

• Coursera
• 4 weeks, 16 hours a week
• Self-Paced
• Paid Course

Career Certificate

Applied Python Data Engineering

131 ratings at Coursera

Build data pipelines with Spark, Hadoop, and Snowflake, containerize workloads using Docker and Kubernetes, and visualize data in Python while applying DataOps methodologies.

• Coursera
• 20 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Scripting with Python and SQL for Data Engineering

113 ratings at Coursera

Use Python data structures to load and iterate over JSON data, query MySQL databases from scripts and an editor, and scrape values from websites.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Cloud Machine Learning Engineering and MLOps

96 ratings at Coursera

Build machine learning engineering applications in the Cloud: apply software development best practices, use AutoML tools like Ludwig and Google AutoML, and serve predictions from a Flask app.

• Coursera
• 3 weeks, 5 hours a week
• Self-Paced
• Paid Course

Cloud Data Engineering

92 ratings at Coursera

Build serverless data engineering pipelines on AWS, Azure or GCP, applying ETL, cloud databases and storage, continuous deployment, code quality tools, logging and monitoring.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course

Data Engineering with Rust

71 ratings at Coursera

Build data pipelines in Rust: work with collections, Diesel, Polars and Apache Arrow, write concurrent safe code, and deploy microservices, Lambdas and REST/gRPC services to the cloud.

• Coursera
• 4 weeks, 16 hours a week
• Self-Paced
• Paid Course

Spark, Hadoop, and Snowflake for Data Engineering

71 ratings at Coursera

Build scalable data pipelines with Hadoop, Spark and PySpark DataFrames, Snowflake warehouses, Databricks clusters and MLflow experiment tracking, applying Kaizen, DevOps and DataOps practices.

• Coursera
• 4 weeks, 7 hours a week
• Self-Paced
• Paid Course