AI for Business: Generation & Prediction from Coursera

This course provides a brief history of AI and moves quickly into how you can use Generative AI to improve your ways of working. We’ll cover content creation as well as using AI in financial forecasting. Finally, we will also touch on the ethical implications of AI as we seek to evaluate the trajectory of AI in our business environment.

Upon completing this course, learners will have a foundational understanding of AI, analyze which AI framework is useful for them, and synthesize this knowledge into their daily work.

This program is designed for anyone who is interested in examining the origins of AI and how it can be effectively used by businesspeople.

Learners should ideally possess the following prerequisite skills: basic critical thinking; open-mindedness; and an active learning mindset.

What's inside

Syllabus

AI For Business - Generation & Prediction

Artificial Intelligence (AI) is not a new technology, it has been in development for decades. Today, however, AI is in the spotlight as it reshapes the way businesses operate, innovate, and engage with customers. Generative AI stands at the forefront of this transformation. This course demonstrates the foundations and practices of using Generative AI in Business settings. This course provides a brief history of AI and moves quickly into how you can use Generative AI to improve your ways of working. We’ll cover content creation as well as using AI in financial forecasting. Finally, we will also touch on the ethical implications of AI as we seek to evaluate the trajectory of AI in our business environment.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Generates compelling text, code, and content

Teaches learners how they can use AI in their business environment

Provides a solid overview of the history of AI and its current applications

Requires only critical thinking, open-mindedness, and a learning mindset

Taught by AI experts Kelley O'Connell

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 AI for Business: Generation & Prediction with these activities:

Review Basic Algebra Concepts

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This course assumes familiarity with basic algebra concepts, such as solving linear equations and graphing functions. Reviewing these concepts before starting the course will help you succeed.

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Review notes from your high school algebra class.
Take practice problems from an algebra textbook or online resource.
Watch videos or tutorials on basic algebra concepts.

Follow Tutorials on Machine Learning Algorithms

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This course will cover a variety of machine learning algorithms. To get a head start, you can follow tutorials on these algorithms before the course begins.

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Find tutorials on machine learning algorithms online.
Follow the tutorials step-by-step.
Experiment with the code examples provided in the tutorials.

Create a Glossary of AI Terms

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AI involves a lot of specialized terminology. Creating a glossary of terms will help you remember and understand the concepts covered in the course.

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Identify the key terms used in the course syllabus.
Look up the definitions of these terms online or in a dictionary.
Write down the definitions in a notebook or spreadsheet.

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Join a Study Group for the Course

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Studying with peers can help you understand the material better, stay motivated, and prepare for assessments.

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Find a study group for the course online or through your university.
Meet with your study group regularly to discuss the course material.
Work together on assignments and projects.

Solve Practice Problems on Generative AI

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Solving practice problems will help you apply the concepts you learn in the course to real-world situations.

Browse courses on Generative AI

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Find practice problems online or in textbooks.
Solve the problems independently.
Check your answers against the solutions provided.

Build a Generative AI Model

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Building a generative AI model is a great way to apply your knowledge and skills to a practical project.

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Choose a project idea.
Gather data for your project.
Build and train your model.
Evaluate the performance of your model.

Volunteer at an AI Organization

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Volunteering at an AI organization will give you hands-on experience and help you network with professionals in the field.

Browse courses on Artificial Intelligence

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Find an AI organization that you are interested in volunteering for.
Contact the organization and inquire about volunteer opportunities.
Attend volunteer training sessions.

Read 'Artificial Intelligence: A Modern Approach'

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This book provides a comprehensive overview of AI concepts and algorithms. Reading it will give you a strong foundation for the course.

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Read the book from cover to cover.
Take notes on the key concepts.
Complete the exercises at the end of each chapter.

Career center

Learners who complete AI for Business: Generation & Prediction will develop knowledge and skills that may be useful to these careers:

AI Innovator

An AI Innovator develops new AI technologies and solutions. This course may be useful for someone in this role, as it teaches the history and theory of AI, as well as how to use Generative AI. AI Innovators may find specific inspiration in the section on ethical implications of AI, as this is an area ripe for innovation.

See salaries and explore the career path for AI Innovator

Data Scientist

A Data Scientist uses programming and statistical knowledge to solve business problems. This course may be useful for someone in this role because it teaches machine learning and deep learning for use with Generative AI. These are in-demand techniques for data scientists to work with.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A Machine Learning Engineer designs, develops and deploys supervised and unsupervised machine learning solutions. This course may be useful for someone in this role as it provides an introduction to the history and theory of AI, including machine learning. They will also learn how to use Generative AI in machine learning workflows.

See salaries and explore the career path for Machine Learning Engineer

AI Product Manager

An AI Product Manager plans, develops, and manages AI products. This course may be useful for someone in this role, as it teaches the history and theory of AI, as well as how to use Generative AI. This will position them to make informed decisions about AI product strategy.

See salaries and explore the career path for AI Product Manager

AI Architect

An AI Architect plans, designs, and implements AI solutions. This course may be useful for someone in this role, as it teaches the history and theory of AI, as well as how to use Generative AI. These are essential skills for an AI Architect.

See salaries and explore the career path for AI Architect

AI Strategist

An AI Strategist develops and implements AI strategies for organizations. This course may be useful for someone in this role, as it teaches the history and theory of AI, as well as how to use Generative AI. This course will help AI Strategists to develop a strong foundation in the field.

See salaries and explore the career path for AI Strategist

AI Developer

An AI Developer designs, develops and deploys AI solutions. This course may be useful for someone in this role, as it provides an introduction to AI history and theory. They will also learn critical skills for using Generative AI with deep learning and machine learning.

See salaries and explore the career path for AI Developer

AI Evangelist

An AI Evangelist speaks, writes and teaches about AI. This course may be useful for someone in this role, as it teaches the history and theory of AI, as well as how to use Generative AI. This in-depth knowledge of the field will help them to advocate for AI adoption.

See salaries and explore the career path for AI Evangelist

AI Researcher

An AI Researcher conducts fundamental research on AI. This course may be useful for someone in this role, as it teaches the history and theory of AI, including Generative AI. This foundational knowledge is essential for breakthroughs in the field of AI research.

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AI Consultant

An AI Consultant provides guidance to organizations on how to use and implement AI. This course may be useful for someone in this role, as it teaches the history and theory of AI, as well as current trends such as Generative AI. This course may help you to advise your clients in an informed and insightful way.

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Business Analyst

A Business Analyst analyzes business processes and identifies opportunities for improvement. This course may be useful for someone in this role, as it helps to build a foundational understanding of AI. They will learn about Generative AI and how it may be used to improve business processes.

See salaries and explore the career path for Business Analyst

Data Analyst

A Data Analyst collects, analyzes, and interprets data. This course may be useful for someone in this role, as it helps to build a foundation in AI. They will learn about Generative AI and how it may be used to improve data analysis.

See salaries and explore the career path for Data Analyst

Product Manager

A Product Manager plans, develops, and manages products. This course may be useful for someone in this role, as it helps to build a foundation in AI. They will learn about Generative AI and how it may be implemented to create better products.

See salaries and explore the career path for Product Manager

AI Engineer

An AI Engineer designs, develops and deploys AI solutions. This course may be useful for someone in this role, as it provides a foundation in the history, theory and use of AI. This may be particularly useful for ethical decision-making when working with Generative AI, which is a key trend in the field of AI engineering.

See salaries and explore the career path for AI Engineer

Project Manager

A Project Manager plans, executes, and closes projects. This course may be useful for someone in this role, as it helps to build a foundation in AI. They will learn about Generative AI and how it may be used to improve project outcomes.

See salaries and explore the career path for Project Manager

AI for Business

Generation & Prediction

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