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Becoming AI Power-Users: A Hands-on Workshop on Machine Learning and Generative AI

Price

$50

Duration

Full Day

Enroll

About the Course

Machine learning (ML) is revolutionizing various industries, and the AEC sector is no exception.

With remarkable developments in Generative AI over the past two years, professionals in the

AEC domain can now leverage these innovative tools to enhance their workflows and optimize

results. This one-day workshop is designed for AEC professionals with beginner to intermediate

knowledge of ML, aiming to bridge the gap between theory and practice and assist attendees

with resources and foundational skills to become ML power users.


1. Getting Started:

The workshop will kick off with introductions, highlighting the importance of ML in the AEC

industry. An interactive session on setting up your Python environment for ML will facilitate a

smooth beginning, ensuring participants are well-equipped for hands-on exploration throughout

the day.


2. Machine/Deep Learning Overview:

An exploration of the machine learning landscape, covering hot topics such as computer vision

and natural language processing. Hands-on activities will be offered to help attendees delve into

visualizations and insights through classical but powerful ML algorithms.


3. Generative AI:

The workshop will unravel the fascinating world of Generative AI, from the fundamental

concepts of prompt engineering to potential applications in vision and natural language

processing. This section aims to expose participants to the endless possibilities that Generative

AI offers in various domains.


4. Building a Chatbot with Custom Data:

The final segment of the workshop is an immersive, hands-on experience where participants will

learn how to build a chatbot using custom data. Tips and tricks for getting the most out of LLMs

will also be shared, equipping attendees with the practical know-how to create their

conversational AI solutions.


Keywords:

Machine Learning, Generative AI, Natural Language Processing, Large Language Models


Software:

The software and ML models required for this workshop will be opensource. Participants will be

guided to setup a Python environment for machine learning on their local machines.


Prerequisites:

Most of the software used in this workshop is open-source, making it easily accessible. While a

basic familiarity with Python programming language can be beneficial, it's not mandatory. The

workshop is crafted to accommodate all levels, ensuring a rewarding experience for everyone.






Your Instructor

Seyedomid Sajedi

Seyedomid Sajedi

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