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Kelley O'Connell
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.
Read more
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.
Read more
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.
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/ugihyz/ai
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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
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
Save this course
Save AI for Business: Generation & Prediction to your list so you can find it easily later:
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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
Show steps
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.
Browse courses on
Algebra
Show steps
-
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
Show steps
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.
Browse courses on
Machine Learning Algorithms
Show steps
-
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
Show steps
AI involves a lot of specialized terminology. Creating a glossary of terms will help you remember and understand the concepts covered in the course.
Show steps
-
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.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a Study Group for the Course
Show steps
Studying with peers can help you understand the material better, stay motivated, and prepare for assessments.
Browse courses on
Collaboration
Show steps
-
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
Show steps
Solving practice problems will help you apply the concepts you learn in the course to real-world situations.
Browse courses on
Generative AI
Show steps
-
Find practice problems online or in textbooks.
-
Solve the problems independently.
-
Check your answers against the solutions provided.
Build a Generative AI Model
Show steps
Building a generative AI model is a great way to apply your knowledge and skills to a practical project.
Show steps
-
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
Show steps
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
Show steps
-
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'
Show steps
This book provides a comprehensive overview of AI concepts and algorithms. Reading it will give you a strong foundation for the course.
View
Melania
on Amazon
Show steps
-
Read the book from cover to cover.
-
Take notes on the key concepts.
-
Complete the exercises at the end of each chapter.
Review Basic Algebra Concepts
Show steps
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.
Browse courses on
Algebra
Show steps
Show steps
Show steps
- 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
Show steps
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.
Browse courses on
Machine Learning Algorithms
Show steps
Show steps
Show steps
- 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
Show steps
AI involves a lot of specialized terminology. Creating a glossary of terms will help you remember and understand the concepts covered in the course.
Show steps
Show steps
Show steps
- 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.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a Study Group for the Course
Show steps
Studying with peers can help you understand the material better, stay motivated, and prepare for assessments.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- 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
Show steps
Solving practice problems will help you apply the concepts you learn in the course to real-world situations.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks.
- Solve the problems independently.
- Check your answers against the solutions provided.
Build a Generative AI Model
Show steps
Building a generative AI model is a great way to apply your knowledge and skills to a practical project.
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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'
Show steps
This book provides a comprehensive overview of AI concepts and algorithms. Reading it will give you a strong foundation for the course.
View
Melania
on Amazon
Show steps
Show steps
Show steps
- 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
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.
Data Scientist
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.
Machine Learning Engineer
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.
AI Product Manager
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.
AI Architect
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.
AI Strategist
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.
AI Developer
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.
AI Evangelist
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.
AI Researcher
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.
AI Consultant
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.
Business Analyst
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.
Data 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.
Product Manager
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.
AI Engineer
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.
Project Manager
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.
For more career information including salaries, visit:
OpenCourser.com/course/ugihyz/ai
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
AI for Business: Generation & Prediction.
Useful additional reading for those interested in implementing Generative AI models.
Provides a deep dive into machine learning techniques and algorithms, useful for those seeking more technical depth.
Save
An advanced reference book for those seeking an in-depth understanding of deep learning, the foundation of Generative AI.
Provides foundational knowledge on reinforcement learning, which is relevant to Generative AI.
Save
Provides insights on the business implications of AI, including strategies and case studies.
Provides a comprehensive examination of the ethical dimensions of AI, valuable for understanding the ethical implications discussed in the course.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ugihyz/ai
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Effort
75 minutes
Level
Introductory
Via
Coursera
Institution
Coursera Instructor Network
Instructor
Kelley O'Connell
Language
English
Transcripts
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Good to know
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
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