Structural Engineering Courses

Engineering Design and Rapid Prototyping

Hands-on product design course using rapid prototyping and computer-aided tools. Students iterate through manual design, fabrication, and validation, followed by software-based optimization of their prototypes.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Fundamentals of Systems Engineering

Comprehensive systems engineering course covering V-model and Meta approach, stakeholder analysis, requirements, architecture, optimization, integration, safety, and validation. Includes hands-on project for design competition.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Computational Science and Engineering I

Comprehensive review of advanced mathematical methods for engineering, covering linear algebra, differential equations, Fourier analysis, and numerical techniques with applications to various engineering problems.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

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

Discover hierarchical design principles for fiber-based smart materials, textile manufacturing processes, and patent application crafting in this comprehensive engineering program.

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

Making Science and Engineering Pictures: A Practical Guide to Presenting Your Work

In this course you will learn the basics of photography and gain an intriguing new perspective into the visual world. We will begin with a gentle introduction to the tools, and after that, we start in earnest. Although we will emphasize photographing sc…

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Thermal-Fluids Engineering 1: Basics of Thermodynamics and Hydrostatics

Explore the fundamentals of thermodynamics and hydrostatics, covering the first and second laws, entropy, ideal gas models, thermodynamic cycles, and fluid mechanics for real-life engineering systems.

• MITx Online
• Self-Paced
• Free Online Course

PioPetro

PETROLEUM ENGINEERING LAB Experiments

11 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

Credential

Python, Bash and SQL Essentials for Data Engineering

478 ratings at Coursera

Desarrolla habilidades esenciales en Python, Bash y SQL para la ingeniería de datos con ejercicios prácticos y estrategias aplicables, guiado por ingenieros profesionales.

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

Python and Pandas for Data Engineering

273 ratings at Coursera

Learn Python and Pandas for data engineering, covering environment setup, data manipulation, and analysis. Gain hands-on experience with Jupyter, Vim, and VS Code while exploring essential Python concepts and Pandas operations.

• Coursera
• 2 days 4 hours 12 minutes
• Self-Paced
• Paid Course

Linux and Bash for Data Engineering

135 ratings at Coursera

Master Linux and Bash essentials for data engineering tasks. Learn file management, shell scripting, and command-line tools to enhance your development environment and solve common data problems efficiently.

• Coursera
• 2 days 17 hours 34 minutes
• Self-Paced
• Paid Course

Credential

Applied Python Data Engineering

123 ratings at Coursera

Leverage big data for business strategy and AI using Python. Master data pipelines, platforms like Hadoop and Spark, and data visualization techniques. Ideal for engineers and data professionals.

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

Scripting with Python and SQL for Data Engineering

111 ratings at Coursera

Learn Python and SQL for data engineering: work with data structures, connect to databases, perform web scraping, and execute SQL queries using modern tools. Gain practical skills for effective data manipulation and extraction.

• Coursera
• 1 day 2 minutes
• Self-Paced
• Paid Course

Cloud Data Engineering

92 ratings at Coursera

Develop data engineering skills for cloud computing, covering serverless pipelines, ETL, databases, and storage. Apply best practices through hands-on projects using AWS, Azure, or GCP.

• Coursera
• 1 day 17 hours 11 minutes
• Self-Paced
• Paid Course

Cloud Machine Learning Engineering and MLOps

91 ratings at Coursera

Develop machine learning applications using cloud computing, AutoML, and MLOps. Explore emerging topics like edge ML and AI APIs. Build a Flask web app for ML predictions.

• Coursera
• 13 hours 47 minutes
• Self-Paced
• Paid Course

Spark, Hadoop, and Snowflake for Data Engineering

68 ratings at Coursera

Master data engineering with Hadoop, Spark, and Snowflake. Build efficient pipelines, optimize platforms, and integrate MLflow. Explore Databricks for analytics and machine learning, while applying DevOps and DataOps methodologies.

• Coursera
• 1 day 5 hours 55 minutes
• Self-Paced
• Paid Course