MBA: AI Technologies for Business and Management

Name: MBA: AI Technologies for Business and Management
Rating: 4.3 (8 reviews)

Become an AI-Powered Business Leader; Project based learning implement AI in solving business and management problems.

Created byImran Zakir

Last updated 8/2024

English

What you'll learn

Demystifying AI for Business: Gain a solid understanding of fundamental Machine Learning concepts and how they underpin AI technologies.
AI-powered Planning & Strategy: Learn how to integrate AI tools and techniques into the business planning process.
Extracting Value from AI: Develop a critical eye to evaluate how AI can add value across various business functions.
Project-based Learning: Apply your acquired knowledge and skills through a hands-on project.
Developing an AI Mindset: Throughout the course, you'll cultivate an "AI mindset" that allows you to critically evaluate situations and identify potential app

Course content

5 sections • 23 lectures • 2h 40m total length

Introduction2:02
MBA: AI Technologies for Business and Management" course, where you will dive into the dynamic realm of artificial intelligence (AI) within the framework of business and business management.
This course is designed to provide you with a comprehensive understanding of how AI methods can be evaluated and leveraged to drive strategic decision-making and innovation in the business world.
The Course Details4:58
In this video the purpose of the creation of this course has been discussed.
Brief understanding of the modules cover in this course.
Explain the learning objectives of the course.
Explain who can take this course.

Types of Machine Learning Algrothrims15:41
Data Sources3:57
This lecture explores the critical role of data sources in the AI process for business decision-making. Here's what you'll learn:
The Power of Data Sources: Discover the concept of data sources as the foundation for AI analysis and decision-making. We'll delve into where raw data originates, feeding the entire AI process.
Variety is Key: Explore the diverse types of data sources used in AI, including databases, spreadsheets, APIs, sensors, logs, and even external datasets. We'll discuss how data can be structured or unstructured, and come from both internal and external sources to your organization.
Internal vs. External Data: Gain insights into how internal data sources, like customer databases or financial records, can be leveraged alongside external sources providing market trends or economic indicators.
Data Quality Matters: Understand why managing data sources is crucial for successful AI implementations. We'll explore how the quality, relevance, and reliability of data directly impact the accuracy and effectiveness of the AI models developed.
Taming the Data Beast: Learn about essential tasks involved in managing data sources, such as data collection, data cleaning, and data integration. These steps ensure the data is in a usable format for analysis and ultimately, drives informed business decisions.
Knowledge-acquisition5:39
Knowledge representation12:01
Decision Making Processes15:58
Value Creation11:08
Case Study: Retail Revolution: AI-powered Personalization at Macy's6:02

Project Proposal-Application of AI in Solving Business Problems4:41
Phase 1- Identify the Business Problems5:55
Phase 2-Research AI Solution7:36
Phase 3- Develop AI Solution & Its Impact on Business Decision Making15:34
Phase 4- Presentation & Evaluation2:22
This video is about the phase 4 of the project on challenging the inventory management.
This video explain how to present the project on completion to the class.
Project 2: Leveraging Machine Learning for Smarter Accounts Payable Decisions5:41

Requirements

Prior knowledge: Business, IT Skills, Critical Thinking Skills, Problem Solving Skills, Team Building Skills, Colaborating work Skills
IT Skills: General IT Skills, Proficiency in programming languages is not required

Description

This comprehensive MBA-level course equips you with the knowledge and skills to leverage Artificial Intelligence (AI) across various business functions. Go beyond the hype and gain practical expertise in transforming data into actionable insights that inform strategic business planning and decision-making.

Harness AI for Smarter Decisions: Learn how to transform data into actionable insights that inform strategic business planning and decision-making. (Module 1)
Demystify Machine Learning: Gain a foundational understanding of Machine Learning, a core technology powering AI. Explore its capabilities and limitations for solving real-world business problems. (Module 2)
Unlock the Value of AI Decisions: Dive deep into how AI analyzes data to make valuable decisions. Discover how AI can optimize your decision-making processes and generate significant business value. (Module 3)
Apply AI Solutions to Real-World Challenges: Put your knowledge into action! Participate in a project-based learning experience. You'll work in teams to identify a real business problem and propose an innovative AI-powered solution. Develop a compelling presentation outlining your solution and its potential impact on the chosen business. (Module 4)

By the end of this course, you'll be able to:

Confidently discuss AI concepts and their applications in business.
Leverage AI tools and techniques to gain valuable insights from data.
Evaluate the potential of AI for solving specific business problems within your chosen field.
Collaborate effectively in teams to design and present AI-powered solutions.

Who this course is for:

This course is valuable for anyone belongs to any back ground preferably:
Business graduates
Entrepreneurs and professionals

MBA: AI Technologies for Business and Management

What you'll learn

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Course content

Introduction2 lectures • 7min

Using (AI) Technologies for Business Planning and Decision-making7 lectures • 1hr 10min

Fundamentals Machine Learning for AI5 lectures • 28min

Exploring AI Decision-making Can Add Value3 lectures • 13min

Applications of AI in Solving Business Problems6 lectures • 42min

Requirements

Description

Who this course is for: