Computer Applications of AI and e-Construction
Leverage e-Construction technologies and develop machine learning and NLP algorithms to improve construction efficiency and decision-making through AI.
Description for Computer Applications of AI and e-Construction
Spreadsheet Application Development for Construction Project Management: Acquire the skills necessary to program and create spreadsheet applications that optimize construction project management processes.
Machine Learning Algorithms for Construction Data: Gain an understanding of the process of developing a variety of machine learning algorithms to analyze and process construction data in order to improve decision-making.
Construction Utilizing Natural Language Processing Big Data: Investigate the development of NLP algorithms for the management and processing of large-scale construction data.
Utilizing e-Construction Applications: Acquire the necessary skills to optimize project management and efficiency within the construction sector by leveraging e-Construction applications.
Level: Advanced
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by PurdueX
Duration: 6�9 hours per week approx 5 weeks
Schedule: Instructor-paced
Pricing for Computer Applications of AI and e-Construction
Use Cases for Computer Applications of AI and e-Construction
FAQs for Computer Applications of AI and e-Construction
Reviews for Computer Applications of AI and e-Construction
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Computer Applications of AI and e-Construction
Learn the fundamental techniques of supervised and unsupervised learning and apply them to real-world problems to unlock the potential of machine learning.
Explore the topic of AI-powered personalization by acquiring the skills necessary to utilize LangChain and ChatGPT.
Gain an extensive understanding of TinyML applications, fundamental principles, and the ethical development of artificial intelligence.
A comprehensive six-week program that teaches the use of Python, frameworks, and advanced LLM technologies to develop generative AI applications.
A fundamental introduction to the development of AI-powered applications using IBM Watson APIs and Python programming.
A structured guide to the study of business opportunities in the chatbot space, as well as the comprehension, design, and deployment of chatbots using Watson Assistant.
Develop your skills in image processing, augmented reality, and object recognition to prepare yourself to create cutting-edge AI-powered visual apps.
Explore the world of AI-powered language processing by acquiring the skills necessary to construct chatbots, analyze sentiment, and incorporate AI insights into practical applications.
Acquire an extensive understanding of reinforcement learning, deep neural networks, clustering, and dimensionality reduction to effectively address real-world machine learning challenges.
Learn to apply advanced machine learning and deep learning models to real-world challenges by immersing yourself in the cutting-edge world of AI-powered finance and insurance.
Featured Tools
The material equips data engineers to incorporate machine learning models into pipelines while adhering to best practices in collaboration, version control, and artifact management.
Examine how to improve learning and preserve integrity by incorporating morally sound and useful AI tools into evaluation procedures.
Develop your skills in image processing, augmented reality, and object recognition to prepare yourself to create cutting-edge AI-powered visual apps.
To enhance machine learning models, this course offers fundamental understanding of artificial intelligence, machine learning methods like classification, regression, and clustering.
Acquire practical expertise in the integration of machine learning models into pipelines, optimizing performance, and efficiently managing versioning and artifacts.
Compare & Review AI Tool Directory AI Course Marketplace
