Course Content
Introduction
Introduction
0/9
Course Introduction
04:18
Pre-requisite for the course
00:00
Course Objectives & Expected Outcomes
03:59
Future Jobs in Mechanical Engineering Industry
12:11
Sneak Peek into Project – 1
04:05
Sneak Peek into Project – 2
04:03
Sneak Peek into Project – 3
05:31
Sneak Peek into Project – 4
05:16
Sneak Peek into Project – 5
04:50
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: Predictive Fault Detection in Joint Human-Automated Systems Using AI / ML
Project-1: Predictive Fault Detection in Joint Human-Automated Systems Using AI / ML
0/8
Project Prelude: Unravelling the Problem Statement
02:06
Setting the Context: Unveiling the Project Background
03:28
Data Discovery Journey: Exploring the Dataset
04:41
Hands-on Data Dive: Importing the Essentials
04:37
Hands-on EDA Essentials: Navigating the Data Landscape
06:38
Hands-on Tidy Up: Mastering Data Cleaning and Preparation
09:11
Hands-on Model Crafting: Forging Predictive Power
05:58
Hands-on Spotlight on Outcome: The Results and Performance Analysis
06:08
Project-2: Predicting Air Pressure System Failures in Scania Trucks for Enhanced Operational Safety and Efficiency
Project-2: Predicting Air Pressure System Failures in Scania Trucks for Enhanced Operational Safety and Efficiency
0/8
Project Prelude: Unravelling the Problem Statement
01:55
Setting the Context: Unveiling the Project Background
03:07
Data Discovery Journey: Exploring the Dataset
05:01
Hands-on Data Dive: Importing the Essentials
04:16
Hands-on EDA Essentials: Navigating the Data Landscape
04:41
Hands-on Tidy Up: Mastering Data Cleaning and Preparation
04:27
Hands-on Model Crafting: Forging Predictive Power
04:13
Hands-on Spotlight on Outcome: The Results and Performance Analysis
04:22
Project-3: Predictive Modeling of Silica Content in Ore Concentrate to Enhance Quality and Efficiency in Mining Operations
Project-3: Predictive Modeling of Silica Content in Ore Concentrate to Enhance Quality and Efficiency in Mining Operations
0/8
Project Prelude: Unravelling the Problem Statement
01:35
Setting the Context: Unveiling the Project Background
03:42
Data Discovery Journey: Exploring the Dataset
08:36
Hands-on Data Dive: Importing the Essentials
02:59
Hands-on EDA Essentials: Navigating the Data Landscape
03:29
Hands-on Tidy Up: Mastering Data Cleaning and Preparation
04:50
Hands-on Model Crafting: Forging Predictive Power
03:28
Hands-on Spotlight on Outcome: The Results and Performance Analysis
05:38
Project-4: Predictive Analysis of Gas Turbine Performance Decay for Optimized Naval Propulsion Efficiency
Project-4: Predictive Analysis of Gas Turbine Performance Decay for Optimized Naval Propulsion Efficiency
0/8
Project Prelude: Unravelling the Problem Statement
02:08
Setting the Context: Unveiling the Project Background
07:35
Data Discovery Journey: Exploring the Dataset
05:25
Hands-on Data Dive: Importing the Essentials
03:18
Hands-on EDA Essentials: Navigating the Data Landscape
03:13
Hands-on Tidy Up: Mastering Data Cleaning and Preparation
02:47
Hands-on Model Crafting: Forging Predictive Power
05:47
Hands-on Spotlight on Outcome: The Results and Performance Analysis
04:18
Project-5: Automated Surface Defect Detection and Classification in Steel Plates Using Machine Learning
Project-5: Automated Surface Defect Detection and Classification in Steel Plates Using Machine Learning
0/8
Project Prelude: Unravelling the Problem Statement
02:28
Setting the Context: Unveiling the Project Background
08:19
Data Discovery Journey: Exploring the Dataset
09:12
Hands-on Data Dive: Importing the Essentials
03:17
Hands-on EDA Essentials: Navigating the Data Landscape
03:25
Hands-on Tidy Up: Mastering Data Cleaning and Preparation
05:31
Hands-on Model Crafting: Forging Predictive Power
03:58
Hands-on Spotlight on Outcome: The Results and Performance Analysis
04:51
AI in Mechanical 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 Mechanical Engineering.

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