Artificial Intelligence & Machine Learning for Business from Udemy

What's inside

Learning objectives

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

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

Syllabus

In this Section we will talk about AI and ML for Business Leader and Why you should take this course.

Instructors Introduction

Why take this course?

In this Section we will introduce Artificial intelligence concept and Building block of AI

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

What is AI & ML? - Exercise

History of AI & ML

What AI can and can not do?

Types of ML

Types of ML - Exercise

AI vs. Humans

When to Apply AI & ML

When to Apply AI & ML - Exercise

AI uprising

ANI vs. AGI vs. ASI

ANI v AGI v ASI - Exercise

Recent AI uprising

Recent AI Uprising - Exercise

How is the world changing?

Further Recommended Resources

Building blocks of AI

Common terminologies in real world

Common Terminologies

Glossary of Machine Learning Terms

Common tools used for creating Artificial Intelligence

Common Data Capturing Types and Tools

Common Tools in the Data Science Spectrum

Common techniques in Artificial Intelligence

Overview of Common Techniques

Understanding ML Techniques (Part 1)

Understanding ML Techniques (Part 2)

Understanding ML Techniques

Applications of AI in various industries

Reinforcement Learning Reads

Introduction

Banking

E-Commerce

Healthcare

Telecom

Applications of AI in different functions

Human Resources

Sales

Operations

Marketing

Supply Chain

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

Overview

Level of Change

Building your AI Strategy (Part 1)

Timelines for Building AI Strategy

Building AI Strategy (Part 2)

How to recruit a team for enabling AI / ML?

Roles in AI

Keys to recruit top AI & ML talent

Common misconceptions about AI & ML

Misconceptions about AI/ML

The Artificial Intelligence Creation Process

Stages of Model Building and Problem Definition

Hypothesis Generation

Data Extraction or Collection

Data Exploration

Basics of Model Building

ML Projects and Model Evaluation

Promises and Challenges of Artificial Intelligence

Promises of Artificial Intelligence

Challenges of Artificial Intelligence

The Need for designing Safe AI

Guidelines from OpenAI and Google for creating Safe AI

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores the applications of Artificial Intelligence and Machine Learning for Business Leaders, which is standard in industry

Develops understanding of Artificial Intelligence and Machine Learning, which are core skills for business leaders

Taught by experienced and certified instructors

Covers business-relevant topics, making it accessible to business leaders without programming experience

Includes practical case studies to reinforce learning and provide context

Explicitly requires learners to come in with extensive background knowledge first

Reviews summary

Ai & ml for business

Learners say this course lays out the features of artificial intelligence and machine learning for business leaders to comprehend. It covers the concepts and applications of AI/ML and how they can benefit organizations. Although the material can be somewhat technical, the course is generally well-received due to its straightforward explanations and real-world examples. Students appreciate the use of industry-specific case studies and the practical knowledge gained.

Course is structured into small, digestible chunks.

"The sections are split up in small chunks of information and time which makes the information palatable and easy to follow."

"This course provides a very wide, well structured conceptual introduction to all aspects of what ML is and what it can do for business cases."

"Overall good -- points to focus on are the occasional spelling/grammatical errors on slides, and in at least one instance the quiz had a question on it that was for a future module -- need to make sure the user is being quizzed on material that has already been reviewed."

Uses industry-specific case studies.

"The content was wonderfully presented and much appreciated."

"I am very visual and the course is doing a wonderful job of illustrating the concepts and simplifying it to an extent that someone entirely new to the subject matter can grasp easily."

"Great broad-based introduction for leaders."

Explanations are easy to understand.

"Method of delivery is in the correct size and the terms and definitions are provided inside of the topic being discussed."

"The course is going well, I hope to have some key valuable insights further in the course"

"The course explains every concept in a very detailed way, including real life examples, specific data and the correct language."

Demystifies technical terms.

"The course explains every concept in a very detailed way, including real life examples, specific data and the correct language."

"This course is a good consolidation of knowledge that is right for the business leaders as it clearly demystifies the various technical terms and linkages between them to lead to a more broader understanding of the topic"

Quizzes can be overwhelming and lack context.

"The quizzes are uninformative and arguably confusing."

"El cusro es muy itneresante, perohay demasiados quizes"

"unrelated question and count of question is more. content needs to be improved."

Some material is outdated.

"some material significantly out of date"

"The course is dated. Pre Covid."

"This course has a good AI material and I learned many new concepts and definition of AI. I was also looking at what are the best tools available or used today and their comparison. Some section I feel are old I might be wrong. But all good."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Artificial Intelligence & Machine Learning for Business with these activities:

Read 'Artificial Intelligence: A Modern Approach'

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Provide a strong foundation in the theoretical underpinnings of AI and machine learning to enhance comprehension of course materials

View Melania on Amazon

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Read the chapters sequentially
Take notes and highlight key concepts
Complete the end-of-chapter exercises

Review Basic Math Skills

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Review the basic math skills, such as algebra, calculus, and statistics necessary for the course

Browse courses on Math

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Identify areas for improvement
Practice problems
Review solved examples
Take practice tests

Read 'Machine Learning in Action'

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Gain a practical understanding of machine learning algorithms and their implementation in real-world applications

View Machine Learning in Action on Amazon

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Read the chapters sequentially
Work through the code examples
Complete the exercises at the end of each chapter

Five other activities

Expand to see all activities and additional details

Show all eight activities

Follow Tutorials on Machine Learning Algorithms

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Gain hands-on experience with different machine learning algorithms and deepen understanding of their applications

Browse courses on Machine Learning Algorithms

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Identify reputable online platforms or resources for machine learning tutorials
Select tutorials that cover algorithms relevant to the course
Follow the tutorials step-by-step
Implement the algorithms in a programming language

Solve AI-Related Coding Challenges

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Enhance programming skills specific to AI and machine learning and improve problem-solving abilities

Browse courses on Coding

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Identify online platforms or resources for AI coding challenges
Select challenges that align with course topics
Attempt to solve the challenges independently
Review solutions and learn from mistakes

Build a Simple Chatbot

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Develop practical skills in building AI applications and reinforce knowledge of AI concepts

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Design the chatbot's functionality
Choose a programming language and framework
Implement the chatbot's logic
Test and refine the chatbot

Write a Blog Post on AI in Business

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Demonstrate understanding of course concepts by applying them to a real-world scenario

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Choose a specific topic related to AI in business
Research and gather relevant information
Write a well-structured blog post
Share the blog post on social media or other platforms

Attend AI Industry Meetups

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Connect with professionals in the field, learn about industry trends, and explore potential career opportunities

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Identify local AI industry meetups
Attend the meetups regularly
Network with other attendees and speakers

Career center

Learners who complete Artificial Intelligence & Machine Learning for Business will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists work with large amounts of data to find actionable insights. Artificial Intelligence & Machine Learning for Business can provide you with a basis to understand how data is analyzed to gain insights. At the course's end, you will have a better understanding of what Data Scientists do and how you can work with them.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers create and deploy Machine Learning models. By taking Artificial Intelligence & Machine Learning for Business, you will gain the insight needed to work well with Machine Learning Engineers. You will have a better understanding of the jobs they perform, how to communicate with them, and how their work fits into your business strategy.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

Business Analysts figure out what drives successful outcomes. Taking Artificial Intelligence & Machine Learning for Business can help you learn to solve business problems using AI and ML. With the skills developed in this course, you will be better prepared to work with other business analysts and lead AI or ML projects.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers are responsible for the success of a product. Artificial Intelligence & Machine Learning for Business can help you stay on top of the latest AI and ML trends. You will also learn how AI and ML can be applied to different industries. This course may be useful if you are interested in a management role where you can make decisions that drive the development and implementation of new products.

See salaries and explore the career path for Product Manager

Data Architect

Data Architects design and build data architectures. By taking Artificial Intelligence & Machine Learning for Business, you can build a foundation for understanding how data is stored and managed. The course will also help you learn how to design data architectures that can support AI and ML applications.

See salaries and explore the career path for Data Architect

Management Consultant

Management Consultants help organizations improve their performance. Taking Artificial Intelligence & Machine Learning for Business may be useful if you want to learn how AI and ML can be used to solve business problems. This course can help you better understand the challenges and opportunities that organizations face in the digital age.

See salaries and explore the career path for Management Consultant

Software Engineer

Software Engineers design, develop, and maintain software applications. Artificial Intelligence & Machine Learning for Business can help prepare you for working with AI and ML technologies. You will learn about the different types of AI and ML algorithms, as well as how to apply them to real-world problems.

See salaries and explore the career path for Software Engineer

Chief Data Officer

Chief Data Officers are responsible for the management and use of data within an organization. Taking Artificial Intelligence & Machine Learning for Business can help build a foundation of data management and analysis. You will learn about the different types of data, as well as how to collect, store, and analyze data.

See salaries and explore the career path for Chief Data Officer

Chief Technology Officer

Chief Technology Officers are responsible for the development and implementation of technology within an organization. Artificial Intelligence & Machine Learning for Business may be useful if you are interested in a leadership role in technology. You will learn about the latest AI and ML technologies, as well as how to apply them to different industries.

See salaries and explore the career path for Chief Technology Officer

Statistician

Statisticians collect, analyze, and interpret data. Artificial Intelligence & Machine Learning for Business provides an overview of AI and ML techniques. You will learn about the different types of data, as well as how to apply statistical methods to analyze data.

See salaries and explore the career path for Statistician

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data. Taking Artificial Intelligence & Machine Learning for Business can provide you with insights into how AI and ML can be used to improve decision-making. You will learn about the different types of AI and ML models, as well as how to interpret their results.

See salaries and explore the career path for Quantitative Analyst

Market Researcher

Market Researchers conduct research to understand the needs and wants of consumers. Artificial Intelligence & Machine Learning for Business may be useful to learn how to apply AI and ML to market research. This course teaches you about the different types of AI and ML algorithms, as well as how to apply them to real-world problems.

See salaries and explore the career path for Market Researcher

Financial Analyst

Financial Analysts provide advice on investments and financial planning. Taking Artificial Intelligence & Machine Learning for Business may be useful for understanding how AI and ML are used in the financial industry. You will learn about the different types of AI and ML algorithms, as well as how to apply them to financial data.

See salaries and explore the career path for Financial Analyst

Customer Relationship Manager

Customer Relationship Managers build relationships with customers to increase sales and improve customer satisfaction. Artificial Intelligence & Machine Learning for Business may be useful for learning how AI and ML can be used to improve customer relationships. You will learn about the different types of AI and ML algorithms, as well as how to apply them to customer data.

See salaries and explore the career path for Customer Relationship Manager

Sales Manager

Sales Managers lead and motivate sales teams to achieve sales goals. Artificial Intelligence & Machine Learning for Business may be useful for learning how to use AI and ML to improve sales performance. You will learn about the different types of AI and ML algorithms, as well as how to apply them to sales data.

See salaries and explore the career path for Sales Manager