Tel: 1-206-279-3300

Last Chance 60 hours

Data, databases, and Machine Learning for Geotechnical Engineers

Data, databases, and machine learning for civil engineers

Starts Sep 23rd

The future of civil engineering is approaching

Online Deep Excavation and Soil nail wall design Workshop

16 PDH

Nov 18-19, 2020

Deep excavation in Las Vegas

Early registration ends soon!

DeepEX 2020

Solving Deep Excavation Design

DeepEX 2017 talk to it and design your deep excavation!

Online Slope Stability, Soil Nailing, and Inclinometer Monitoring Workshop

4 hours each day, 8 PDH

Slope stability, soil nailing, and inclinometer worksho

July 15, 16, 2020

Deep Foundation Software, Pile Rafts, Pile Groups

From soil estimation to axial and lateral pile capacity

DeepFND - Deep Foundation Software, caissons, CFA, drilled piles, driven piles, concrete, timber

From soil estimation to helical pile settlement estimation.

New helical pile software HelixPile
Signup for a free trial and get our free pdf on the five most common errors in deep excavation design
What do you want to design?
DeepFND 2020: Deep Foundation software (NEW: Pile-Group/Pile Raft Analysis!)
DeepEX 2020: Deep Excavation software
Soldier pile walls
Sheet pile walls
Secant pile Walls
Tangent piles
Diaphragm Walls
Soldier and Tremied Concrete
Soil Mix walls
Combined king pile sheet piles
Slope stability
Cost estimation for braced excavations
Waler-Strut Cofferdams
Snail-Plus 2019: Soil nailing - soil nailing walls
SiteMaster: Inclinometer software (adopted by Geokon)
HelixPile: Helical Pile Software
RC-Solver: Concrete Design ACI-318, EC2, EC8
Steel-Beam: Steel beam column design, full equations, AISC, EC3

Online Workshop: Machine Learning Fundamentals for Civil Engineers

The future of civil engineering is taking shape, the 3rd of 3 workshop series building up on the previous courses

Prerequisites: Basic understanding of probability, basic Python programming (workshop 1)

Data processing with python for civil engineers

In this sixteen hour workshop, you will develop practical machine learning and data science skills. The course will cover theoretical basics of a broad range of machine learning concepts and methods with practical applications to sample engineering datasets. By the end of this course you should be able to describe the principal models used in machine learning and the types of problems to which they are typically applied, determine to which problems machine learning is applicable and which model or models would be most appropriate in each case and apply the principal models in machine learning to appropriate problems.

Machine Learning has revolutionized numerous fields and it can be an invaluable tool for engineers in producing safer and more economical designs. Think of Machine Learning as having the collective experience of countless capable professionals at your disposal.

By taking this workshop, you gain life-time access to the course’s Discourse server where you can post questions and browse for answers and advice from industry experts.

Dec. 2, 2020:

●     Python environment setup

●     Introduction to Machine Learning, civil engineering areas of applicatoin,

Dec. 3, 2020:

●     Supervised learning algorithms: overview of regression and classification with examples in geotechnical engineering

Dec. 9, 2020:

●     Supervised learning algorithms (continued)

●     Unsupervised learning algorithms: overview of clustering with examples in civil engineering, slope stability, geotechnical modeling

Dec. 10, 2020:

●     End-to-end Machine Learning project demonstration

Meet your Instructor

Nick Machairas, PhD, is a geotechnical engineering and applied analytics consultant with more than seven years of experience building custom business and engineering AI solutions, thus minimizing risk and construction costs. He holds a PH.d from New York University in Civil Engineering. He is also a lecturer at Columbia University and New York University, where he teaches graduate courses on modern database systems and machine learning. He can be reached at

3rd Workshop Cost: Early registration $1450 before Nov 1st, 2020, increases to $1950 afterwards.

Early combined registration with two follow up workshops 1) Data Processing with Pythong for Civil Engineers (Aug 24, 25, Sep 1, 2, 2020), and 2) Database management systems for civil engineers $3475 ($600 20% savings)

Data, Databases, and Machine Learning for Civil Engineers