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Artificial Intelligence Machine Learning for Business

  • Development
  • May 04, 2025
SynopsisArtificial Intelligence & Machine Learning for Business,...
Artificial Intelligence Machine Learning for Business  No.1

Artificial Intelligence & Machine Learning for Business, available at $84.99, has an average rating of 4.45, with 48 lectures, 19 quizzes, based on 13378 reviews, and has 38351 subscribers.

You will learn about Applications of Artificial Intelligence and Machine Learning for Business Leaders (CxOs, Managers, Team Leaders, MBA Students, Entrepreneurs) How can you apply Artificial Intelligence and Machine Learning in your areas of functions? Disruption happening in several domains and industries because of Artificial Intelligence and Machine learning This course is ideal for individuals who are CXOs, Business Managers, MBA students or Entrepreneurs or Any one interested in understanding and applying these technologies for business use It is particularly useful for CXOs, Business Managers, MBA students or Entrepreneurs or Any one interested in understanding and applying these technologies for business use.

Enroll now: Artificial Intelligence & Machine Learning for Business

Summary

Title: Artificial Intelligence & Machine Learning for Business

Price: $84.99

Average Rating: 4.45

Number of Lectures: 48

Number of Quizzes: 19

Number of Published Lectures: 48

Number of Published Quizzes: 19

Number of Curriculum Items: 67

Number of Published Curriculum Objects: 67

Original Price: ?7,900

Quality Status: approved

Status: Live

What You Will Learn

  • Applications of Artificial Intelligence and Machine Learning for Business Leaders (CxOs, Managers, Team Leaders, MBA Students, Entrepreneurs)
  • How can you apply Artificial Intelligence and Machine Learning in your areas of functions?
  • Disruption happening in several domains and industries because of Artificial Intelligence and Machine learning
  • Who Should Attend

  • CXOs, Business Managers, MBA students
  • Entrepreneurs
  • Any one interested in understanding and applying these technologies for business use
  • Target Audiences

  • CXOs, Business Managers, MBA students
  • Entrepreneurs
  • Any one interested in understanding and applying these technologies for business use
  • Are you prepared for the inevitable AI revolution? How can you leverage it in your current role as a business leader (whether that’s a manager, team leader or a CxO)? Analytics Vidhya’s ‘Artificial Intelligence (AI) & Machine Learning (ML) for Business’ course, curated and delivered by experienced instructors, will help you understand the answers to these pressing questions.

    Artificial Intelligence has become the centrepiece of strategic decision making for organizations. It is disrupting the way industries function – from sales and marketing to finance and HR, companies are betting on AI to give them a competitive edge.

    AI for Business Leaders is a thoughtfully created course designed specifically for business people and does not require any programming.

    Through this course you will learn about the current state of AI, how it’s disrupting businesses globally and in diverse fields, how it might impact your current role and what you can do about it. This course also dives into the various building blocks of AI and why it’s necessary for you to have a high-level overview of these topics in today’s data-driven world.

    We will also provide you with multiple practical case studies towards the end of the course that will test your understanding and add context to all that you’ve studied.

    By the time you finish the course, you will be ready to apply your newly-acquired knowledge in your current organization. You will be able to make informed strategic decisions for yourself and your business.

    Course Curriculum

    Chapter 1: About this course

    Lecture 1: Instructors Introduction

    Lecture 2: Why take this course?

    Chapter 2: What is Artificial Intelligence (AI) & Machine Learning (ML)?

    Lecture 1: What is Artificial Intelligence (AI) & Machine Learning (ML)?

    Lecture 2: History of AI & ML

    Chapter 3: What AI can and can not do?

    Lecture 1: Types of ML

    Lecture 2: AI vs. Humans

    Lecture 3: When to Apply AI & ML

    Chapter 4: AI uprising

    Lecture 1: ANI vs. AGI vs. ASI

    Lecture 2: Recent AI uprising

    Lecture 3: How is the world changing?

    Lecture 4: Further Recommended Resources

    Chapter 5: Building blocks of AI

    Lecture 1: Building blocks of AI

    Chapter 6: Common terminologies in real world

    Lecture 1: Common Terminologies

    Lecture 2: Glossary of Machine Learning Terms

    Chapter 7: Common tools used for creating Artificial Intelligence

    Lecture 1: Common Data Capturing Types and Tools

    Lecture 2: Common Tools in the Data Science Spectrum

    Chapter 8: Common techniques in Artificial Intelligence

    Lecture 1: Overview of Common Techniques

    Lecture 2: Understanding ML Techniques (Part 1)

    Lecture 3: Understanding ML Techniques (Part 2)

    Chapter 9: Applications of AI in various industries

    Lecture 1: Reinforcement Learning Reads

    Lecture 2: Introduction

    Lecture 3: Banking

    Lecture 4: E-Commerce

    Lecture 5: Healthcare

    Lecture 6: Telecom

    Chapter 10: Applications of AI in different functions

    Lecture 1: Human Resources

    Lecture 2: Sales

    Lecture 3: Operations

    Lecture 4: Marketing

    Lecture 5: Supply Chain

    Chapter 11: What do you need to enable a AI / ML practice in your organization?

    Lecture 1: Overview

    Lecture 2: Level of Change

    Lecture 3: Building your AI Strategy (Part 1)

    Lecture 4: Timelines for Building AI Strategy

    Lecture 5: Building AI Strategy (Part 2)

    Chapter 12: How to recruit a team for enabling AI / ML?

    Lecture 1: Roles in AI

    Lecture 2: Keys to recruit top AI & ML talent

    Chapter 13: Common misconceptions about AI & ML

    Lecture 1: Misconceptions about AI/ML

    Chapter 14: The Artificial Intelligence Creation Process

    Lecture 1: Stages of Model Building and Problem Definition

    Lecture 2: Hypothesis Generation

    Lecture 3: Data Extraction or Collection

    Lecture 4: Data Exploration

    Lecture 5: Basics of Model Building

    Lecture 6: ML Projects and Model Evaluation

    Chapter 15: Promises and Challenges of Artificial Intelligence

    Lecture 1: Promises of Artificial Intelligence

    Lecture 2: Challenges of Artificial Intelligence

    Lecture 3: The Need for designing Safe AI

    Lecture 4: Guidelines from OpenAI and Google for creating Safe AI

    Instructors

  • Artificial Intelligence Machine Learning for Business  No.2
    Analytics Vidhya
    Data Science Community
  • Rating Distribution

  • 1 stars: 87 votes
  • 2 stars: 188 votes
  • 3 stars: 1515 votes
  • 4 stars: 5321 votes
  • 5 stars: 6267 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!