Course Content
Introduction
Introduction
0/2
Why to opt for this course?
01:45
Course Objectives and Expected Outcomes
04:28
AI around us
AI around us
0/3
AI around us – Part-1
00:00
AI around us – Part-2
15:03
AI in Industry – How it works
09:07
Exploring Artificial Intelligence
Exploring Artificial Intelligence
0/8
What is AI?
07:00
Narrow Vs General Vs Super AI
12:14
Machine Learning and its Types
12:17
Popular Industry Use Cases of Machine Learning
05:59
Deep Learning and its Industry Applications
06:17
Data Science and its Industry Applications
05:18
AI in Nutshell
06:37
Dispelling Myths about AI
00:00
Understanding No-Code AI
Understanding No-Code AI
0/2
Introduction to No-Code AI
00:00
Popular No-Code AI Platforms
00:00
Getting Started with Altair RapidMiner AI Studio
Getting Started with Altair RapidMiner AI Studio
0/4
Step-by-Step Installation
07:04
Understanding the Interface
09:24
Getting Started with the Platform
06:53
Importing Data into the Platform
06:27
Working with Altair RapidMiner AI Studio
Working with Altair RapidMiner AI Studio
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 Data Sources for Insights
03:49
Data Aggregation: Blending Data for Analysis
03:49
Feature Engineering: Data Attributes
03:27
Discretization Strategies: Enhancing Data Representation
05:14
My First No-Code AI Project
05:32
AI Applications in Finance Management
AI Applications in Finance Management
0/10
Risk Assessment and Management
00:00
Algorithmic Trading
02:47
Fraud Detection
02:30
Personalized Financial Advice
00:00
Financial Report Generation
02:41
Customer Support Chatbots
02:25
Accounting Automation
02:11
Market Analysis
02:37
Loan Underwriting
02:13
Portfolio Optimization
02:46
No-Code AI Capstone Project in Finance Management
No-Code AI Capstone Project in Finance Management
0/13
Introduction: Understanding the Problem Statement
03:13
Project Context: Establishing the Background
01:59
Objectives and Outcomes: Defining Project Goals
04:00
Data Exploration: Initial Dataset Analysis
04:04
Implementation Strategy: Step-by-Step Approach
04:08
Dataset Integration: Importing the Data
02:53
Exploratory Data Analysis: Navigating the Data Landscape
00:00
Data Refinement: Cleaning and Organizing
02:49
Data Preparation: Preprocessing for Analysis
05:53
Model Training: Developing the Predictive System
00:00
Model Evaluation: Assessing Performance
04:28
Outcome Assessment: The Result and Performance Analysis
00:00
Key Learnings: Extending Knowledge from the Project
01:47
AI Applications in HR Management
AI Applications in HR Management
0/10
Talent Acquisition
02:27
Employee On-Boarding
02:55
Performance Management
00:00
Employee Engagement
00:00
Learning and Development
02:55
Workforce Planning
02:48
Diversity and Inclusion
00:00
Employee Wellness Programs
02:42
Compensation and Benefits Management
02:53
Employee Exit Management
00:00
No-Code AI Capstone Project in HR Management
No-Code AI Capstone Project in HR Management
0/13
Introduction: Understanding the Problem Statement
02:35
Project Context: Establishing the Background
02:28
Objectives and Outcomes: Defining Project Goals
04:47
Data Exploration: Initial Dataset Analysis
04:31
Implementation Strategy: Step-by-Step Approach
04:05
Dataset Integration: Importing the Data
02:45
Exploratory Data Analysis: Navigating the Data Landscape
04:32
Data Refinement: Cleaning and Organizing
02:14
Data Preparation: Preprocessing for Analysis
00:00
Model Training: Developing the Predictive System
00:00
Model Evaluation: Assessing Performance
03:57
Outcome Assessment: The Result and Performance Analysis
03:24
Key Learnings: Extending Knowledge from the Project
02:01
AI Applications in Marketing Management
AI Applications in Marketing Management
0/10
Customer Segmentation
02:19
Personalized Marketing
02:33
Market Predictive Analytics
02:32
Personalized Content Generation
02:23
Chatbots and Virtual Assistants
02:41
Lead Scoring
02:23
Campaign Optimization
02:24
Social Media Management
02:31
E-Mail Marketing Automation
02:27
Market Forecasting
02:35
No-Code AI Capstone Project in Marketing Management
No-Code AI Capstone Project in Marketing Management
0/13
Introduction: Understanding the Problem Statement
02:31
Project Context: Establishing the Background
01:50
Objectives and Outcomes: Defining Project Goals
03:53
Data Exploration: Initial Dataset Analysis
03:00
Implementation Strategy: Step-by-Step Approach
03:21
Dataset Integration: Importing the Data
03:12
Exploratory Data Analysis: Navigating the Data Landscape
00:00
Data Refinement: Cleaning and Organizing
00:00
Data Preparation: Preprocessing for Analysis
03:39
Model Training: Developing the Predictive System
06:34
Model Evaluation: Assessing Performance
02:45
Outcome Assessment: The Result and Performance Analysis
03:06
Key Learnings: Extending Knowledge from the Project
03:17
AI Applications in Operations Management
AI Applications in Operations Management
0/9
Demand Forecasting
02:31
Supply Chain Optimization
02:28
Predictive Maintenance
02:16
Quality Control
02:20
Inventory Management
02:26
Production Scheduling
02:20
Logistics Optimization
02:35
Supplier Management
02:20
Process Automation
02:21
No-Code AI Capstone Project in Operations Management
No-Code AI Capstone Project in Operations Management
0/13
Introduction: Understanding the Problem Statement
02:42
Project Context: Establishing the Background
02:07
Objectives and Outcomes: Defining Project Goals
04:10
Data Exploration: Initial Dataset Analysis
02:26
Implementation Strategy: Step-by-Step Approach
03:17
Dataset Integration: Importing the Data
03:25
Exploratory Data Analysis: Navigating the Data Landscape
04:44
Data Refinement: Cleaning and Organizing
00:00
Data Preparation: Preprocessing for Analysis
04:10
Model Training: Developing the Predictive System
06:38
Model Evaluation: Assessing Performance
02:31
Outcome Assessment: The Result and Performance Analysis
03:20
Key Learnings: Extending Knowledge from the Project
03:03
AI Applications in IT Management
AI Applications in IT Management
0/10
Cyber Security
02:28
Network Monitoring
02:20
IT Helpdesk Support
02:26
Predictive Maintenance
00:00
Incident Management
02:27
Data Management
00:00
Software Development
02:31
Cloud Management
00:00
User Behaviour Analytics
02:36
IT Asset Management
02:21
No-Code AI Capstone Project in IT Management
No-Code AI Capstone Project in IT Management
0/13
Introduction: Understanding the Problem Statement
02:38
Project Context: Establishing the Background
02:29
Objectives and Outcomes: Defining Project Goals
03:58
Data Exploration: Initial Dataset Analysis
02:56
Implementation Strategy: Step-by-Step Approach
03:38
Dataset Integration: Importing the Data
00:00
Exploratory Data Analysis: Navigating the Data Landscape
00:00
Data Refinement: Cleaning and Organizing
00:00
Data Preparation: Preprocessing for Analysis
00:00
Model Training: Developing the Predictive System
00:00
Model Evaluation: Assessing Performance
02:18
Outcome Assessment: The Result and Performance Analysis
04:00
Key Learnings: Extending Knowledge from the Project
02:22
AI Applications in International Business Management
AI Applications in International Business Management
0/10
Market Entry Strategy
02:26
Global Supply Chain Management
02:20
Cross Cultural Communication
02:54
International Marketing
02:01
Regulatory Compliance
02:49
Currency Exchange Management
02:18
Talent Acquisition and Management
02:43
Multi-Lingual Customer Support
02:30
Risk Management
02:37
Cross Border E-Commerce
02:52
No-Code AI Capstone Project in International Business Management
No-Code AI Capstone Project in International Business Management
0/13
Introduction: Understanding the Problem Statement
03:04
Project Context: Establishing the Background
02:18
Objectives and Outcomes: Defining Project Goals
04:55
Data Exploration: Initial Dataset Analysis
03:26
Implementation Strategy: Step-by-Step Approach
04:25
Dataset Integration: Importing the Data
03:06
Exploratory Data Analysis: Navigating the Data Landscape
04:43
Data Refinement: Cleaning and Organizing
02:28
Data Preparation: Preprocessing for Analysis
05:44
Model Training: Developing the Predictive System
04:56
Model Evaluation: Assessing Performance
02:29
Outcome Assessment: The Result and Performance Analysis
04:23
Key Learnings: Extending Knowledge from the Project
03:14
AI Applications in Supply Chain Management
AI Applications in Supply Chain Management
0/10
Demand Forecasting
02:40
Inventory Optimization
02:24
Supplier Selection and Management
02:38
Predictive Maintenance
02:33
Route Optimization
02:22
Warehouse Automation
02:25
Logistics Planning
02:32
Quality Control
02:21
Risk Management
02:18
End-to-End Visibility
02:33
No-Code AI Capstone Project in Supply Chain Management
No-Code AI Capstone Project in Supply Chain Management
0/13
Introduction: Understanding the Problem Statement
04:25
Project Context: Establishing the Background
02:02
Objectives and Outcomes: Defining Project Goals
05:00
Data Exploration: Initial Dataset Analysis
02:40
Implementation Strategy: Step-by-Step Approach
03:45
Dataset Integration: Importing the Data
03:32
Exploratory Data Analysis: Navigating the Data Landscape
00:00
Data Refinement: Cleaning and Organizing
00:00
Data Preparation: Preprocessing for Analysis
04:52
Model Training: Developing the Predictive System
04:38
Model Evaluation: Assessing Performance
02:28
Outcome Assessment: The Result and Performance Analysis
03:05
Key Learnings: Extending Knowledge from the Project
03:29
AI Applications in Healthcare Management
AI Applications in Healthcare Management
0/10
Predictive Analytics for Patient Care
03:20
Medical Imaging and Diagnostics
03:15
Virtual Health Assistants
00:00
Electronic Health Records (EHR) Management
03:01
Telemedicine
02:54
Drug Discovering and Development
00:00
Personalized Medicine
03:00
Hospital Operational Efficiency
02:50
Remote Patient Monitoring
03:00
Fraud Detection and Prevention
02:48
No-Code AI Capstone Project in Healthcare Management
No-Code AI Capstone Project in Healthcare Management
0/13
Introduction: Understanding the Problem Statement
03:00
Project Context: Establishing the Background
02:40
Objectives and Outcomes: Defining Project Goals
04:45
Data Exploration: Initial Dataset Analysis
02:07
Implementation Strategy: Step-by-Step Approach
04:18
Dataset Integration: Importing the Data
03:49
Exploratory Data Analysis: Navigating the Data Landscape
02:45
Data Refinement: Cleaning and Organizing
02:23
Data Preparation: Preprocessing for Analysis
06:19
Model Training: Developing the Predictive System
06:45
Model Evaluation: Assessing Performance
03:06
Outcome Assessment: The Result and Performance Analysis
03:01
Key Learnings: Extending Knowledge from the Project
01:48
No-Code AI for MBA Professionals: Master 8 Capstone Projects

Course Objectives and Expected Outcomes

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