Course Content
Introduction
Introduction
0/9
Course Introduction
04:26
Pre-requisite for the course
00:00
Course Objectives & Expected Outcomes
04:50
Future Jobs in Civil Engineering Industry
13:25
Sneak Peek into Project – 1
03:06
Sneak Peek into Project – 2
03:08
Sneak Peek into Project – 3
03:20
Sneak Peek into Project – 4
03:51
Sneak Peek into Project – 5
03:05
Cultivating Intelligence: Introduction to Altair RapidMiner
Cultivating Intelligence: Introduction to Altair RapidMiner
0/4
Rapid Set-Up: Installing the Turbocharged No-Code AI Tool
07:04
Interface Expedition: Navigating RapidMiner’s Realm
09:24
Rapid Dive: Launching Your Journey with RapidMiner
06:53
Data Influx: Importing Streams into RapidMiner
06:27
Effortless Data Refinement: No-Code Data Cleaning & Preprocessing
Effortless Data Refinement: No-Code Data Cleaning & Preprocessing
0/8
Data Management: Handling Missing Values
06:23
Data Normalization: Detecting and Managing Outliers
06:28
Filtering Techniques: Refining Data Selection
04:07
Dataset Integration: Merging Tables for Insight
03:49
Aggregation Methods: Blending Data for Analysis
03:49
Feature Engineering: Transforming Data Attributes
03:27
Discretization Strategies: Enhancing Data Representation
05:14
My First No-Code AI Project
05:32
Project-1: Predicting Material Failure Strain Based on Stress-Strain Data
Project-1: Predicting Material Failure Strain Based on Stress-Strain Data
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Project Prelude: Unravelling the Problem Statement
01:55
Setting the Context: Unveiling the Project Background
05:22
Data Discovery Journey: Exploring the Dataset
04:12
Hands-on Data Dive: Importing the Essentials
04:14
Hands-on EDA Essentials: Navigating the Data Landscape
03:54
Hands-on Tidy Up: Mastering Data Cleaning and Preparation
05:19
Hands-on Model Crafting: Forging Predictive Power
07:18
Hands-on Spotlight on Outcome: The Results and Performance Analysis
04:18
Project-2: Predicting Punching Shear Resistance of Reinforced Concrete Slabs
Project-2: Predicting Punching Shear Resistance of Reinforced Concrete Slabs
0/8
Project Prelude: Unravelling the Problem Statement
02:15
Setting the Context: Unveiling the Project Background
04:00
Data Discovery Journey: Exploring the Dataset
05:37
Hands-on Data Dive: Importing the Essentials
03:13
Hands-on EDA Essentials: Navigating the Data Landscape
03:27
Hands-on Tidy Up: Mastering Data Cleaning and Preparation
03:14
Hands-on Model Crafting: Forging Predictive Power
03:28
Hands-on Spotlight on Outcome: The Results and Performance Analysis
03:57
Project-3: Predicting the Shear Strength of Reinforced Concrete Walls Using Structural and Material Properties
Project-3: Predicting the Shear Strength of Reinforced Concrete Walls Using Structural and Material Properties
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Project Prelude: Unravelling the Problem Statement
01:51
Setting the Context: Unveiling the Project Background
05:01
Data Discovery Journey: Exploring the Dataset
04:50
Hands-on Data Dive: Importing the Essentials
03:14
Hands-on EDA Essentials: Navigating the Data Landscape
03:01
Hands-on Tidy Up: Mastering Data Cleaning and Preparation
03:06
Hands-on Model Crafting: Forging Predictive Power
03:01
Hands-on Spotlight on Outcome: The Results and Performance Analysis
03:39
Project-4: Predicting Heating and Cooling Loads of Buildings for Energy Efficiency Optimization
Project-4: Predicting Heating and Cooling Loads of Buildings for Energy Efficiency Optimization
0/8
Project Prelude: Unravelling the Problem Statement
02:13
Setting the Context: Unveiling the Project Background
05:43
Data Discovery Journey: Exploring the Dataset
04:56
Hands-on Data Dive: Importing the Essentials
02:27
Hands-on EDA Essentials: Navigating the Data Landscape
03:09
Hands-on Tidy Up: Mastering Data Cleaning and Preparation
02:12
Hands-on Model Crafting: Forging Predictive Power
03:36
Hands-on Spotlight on Outcome: The Results and Performance Analysis
02:39
Project-5: Mitigating Nitrogen Pollution in Water Bodies to Protect Ecosystems & Public Health
Project-5: Mitigating Nitrogen Pollution in Water Bodies to Protect Ecosystems & Public Health
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Project Prelude: Unravelling the Problem Statement
01:49
Setting the Context: Unveiling the Project Background
04:15
Data Discovery Journey: Exploring the Dataset
04:49
Hands-on Data Dive: Importing the Essentials
03:21
Hands-on EDA Essentials: Navigating the Data Landscape
02:21
Hands-on Tidy Up: Mastering Data Cleaning and Preparation
03:31
Hands-on Model Crafting: Forging Predictive Power
02:13
Hands-on Spotlight on Outcome: The Results and Performance Analysis
04:17
AI in Civil Engineering: 5 Real-World No-Code AI Projects
About Lesson

You should have a reasonable knowledge about Artificial Intelligence, its different types, basic knowledge of Machine Learning, Deep Learning and Data Science concepts.
In case, you want to brush up your concepts, you may go through an online course available at https://nocodeaihub.com titled as No-Code AI in Civil Engineering.

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No Code AI for all

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