Will I earn university credit for completing the Specialization?

Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

What will I be able to do upon completing the Specialization?

Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

AI For Business Specialization

Learn the Fundamentals of AI and Machine Learning. Develop a deployment strategy for incorporating AI, ML, and Big Data into your organization that will take advantage of cutting-edge technologies

Instructors: Michael R Roberts

Included with Coursera Plus

Learn more

4 course series

Get in-depth knowledge of a subject

4.7

(1,573 reviews)

Beginner level

No prior experience required

1 month at 10 hours a week

Flexible schedule

Earn a career credential

Share your expertise with employers

4 course series

Get in-depth knowledge of a subject

4.7

(1,573 reviews)

Beginner level

No prior experience required

1 month at 10 hours a week

Flexible schedule

Earn a career credential

Share your expertise with employers

What you'll learn

This specialization will provide learners with the fundamentals of using Big Data, Artificial Intelligence, and Machine Learning and the various areas in which you can deploy them to support your business. You'll cover ethics and risks of AI, designing governance frameworks to fairly apply AI, and also cover people management in the fair design of HR functions within Machine Learning. You'll also learn effective marketing strategies using data analytics, and how personalization can enhance and prolong the customer journey and lifecycle. Finally, you will hear from industry leaders who will provide you with insights into how AI and Big Data are revolutionizing the way we do business.

By the end of this specialization, you will be able to implement ethical AI strategies for people management and have a better understanding of the relationship between data analytics, artificial intelligence, and machine learning. You will leave this specialization with insight into how these tools can shape and influence how you manage your business. For additional reading, Professor Hosanagar's book "A Human’s Guide to Machine Intelligence" can be used as an additional resource,". You can find Professor Hosanagar's book on his personal website or at Penguin Randomhouse.

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English

16 practice exercises

Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from University of Pennsylvania

Specialization - 4 course series

Each course module in this Specialization culminates in an assessment, with two courses including peer-review exercises. These assessments are designed to check learners' knowledge and to provide an opportunity for learners to apply course concepts such as data analytics, machine learning tools, and people management best practices with AI algorithms.

The assessments will be cumulative and cover the application of artificial intelligence, ethical governance rules, Big Data management, the customer journey, fraud prevention, and personalization technology in order to develop and implement a successful AI strategy for your business.

AI Fundamentals for Non-Data Scientists

Course 19 hours4.8 (900 ratings)View course

What you'll learn

In this course, you will go in-depth to discover how Machine Learning is used to handle and interpret Big Data. You will get a detailed look at the various ways and methods to create algorithms to incorporate into your business with such tools as Teachable Machine and TensorFlow. You will also learn different ML methods, Deep Learning, as well as the limitations but also how to drive accuracy and use the best training data for your algorithms. You will then explore GANs and VAEs, using your newfound knowledge to engage with AutoML to help you start building algorithms that work to suit your needs. You will also see exclusive interviews with industry leaders, who manage Big Data for companies such as McDonald's and Visa. By the end of this course, you will have learned different ways to code, including how to use no-code tools, understand Deep Learning, how to measure and review errors in your algorithms, and how to use Big Data to not only maintain customer privacy but also how to use this data to develop different strategies that will drive your business.

Skills you'll gain

Deep Learning, Machine Learning, Generative AI, Big Data, Machine Learning Methods, Artificial Neural Networks, Data Analysis, Tensorflow, Machine Learning Algorithms, Algorithms, Process Optimization, and Artificial Intelligence

AI Applications in Marketing and Finance

Course 26 hours4.6 (463 ratings)View course

What you'll learn

In this course, you will learn about AI-powered applications that can enhance the customer journey and extend the customer lifecycle. You will learn how this AI-powered data can enable you to analyze consumer habits and maximize their potential to target your marketing to the right people. You will also learn about fraud, credit risks, and how AI applications can also help you combat the ever-challenging landscape of protecting consumer data. You will also learn methods to utilize supervised and unsupervised machine learning to enhance your fraud detection methods. You will also hear from leading industry experts in the world of data analytics, marketing, and fraud prevention. By the end of this course, you will have a substantial understanding of the role AI and Machine Learning play when it comes to consumer habits, and how we are able to interact and analyze information to increase deep learning potential for your business.

Skills you'll gain

Fraud detection, Customer Engagement, AI Personalization, Artificial Intelligence, Credit Risk, Advanced Analytics, Artificial Intelligence and Machine Learning (AI/ML), Driving engagement, Analytics, Risk Management, Data Mining, Big Data, Customer experience improvement, Digital Transformation, Customer Insights, Marketing Analytics, Data-Driven Decision-Making, Anomaly Detection, Applied Machine Learning, and Machine Learning

AI Applications in People Management

Course 39 hours4.7 (301 ratings)View course

What you'll learn

In this course, you will learn about Artificial Intelligence and Machine Learning as it applies to HR Management. You will explore concepts related to the role of data in machine learning, AI application, limitations of using data in HR decisions, and how bias can be mitigated using blockchain technology. Machine learning powers are becoming faster and more streamlined, and you will gain firsthand knowledge of how to use current and emerging technology to manage the entire employee lifecycle. Through study and analysis, you will learn how to sift through tremendous volumes of data to identify patterns and make predictions that will be in the best interest of your business. By the end of this course, you'll be able to identify how you can incorporate AI to streamline all HR functions and how to work with data to take advantage of the power of machine learning.

Skills you'll gain

Artificial Intelligence, Employee Engagement, Predictive Analytics, Machine Learning, Data-Driven Decision-Making, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Blockchain, Data Ethics, Employee Retention, Human Resources, and HR Tech

AI Strategy and Governance

Course 49 hours4.7 (365 ratings)View course

What you'll learn

In this course, you will discover AI and the strategies that are used in transforming business in order to gain a competitive advantage. You will explore the multitude of uses for AI in an enterprise setting and the tools that are available to lower the barriers to AI use. You will get a closer look at the purpose, function, and use-cases for explainable AI. This course will also provide you with the tools to build responsible AI governance algorithms as faculty dive into the large datasets that you can expect to see in an enterprise setting and how that affects the business on a greater scale. Finally, you will examine AI in the organizational structure, how AI is playing a crucial role in change management, and the risks with AI processes. By the end of this course, you will learn different strategies to recognize biases that exist within data, how to ensure that you maintain and build trust with user data and privacy, and what it takes to construct a responsible governance strategy. For additional reading, Professor Hosanagar's book "A Human’s Guide to Machine Intelligence" can be used as an additional resource for more extensive information on topics covered in this module.

Skills you'll gain

Artificial Intelligence, Innovation, Responsible AI, Data Security, Data Ethics, AI Product Strategy, Machine Learning, Ethical Standards And Conduct, Business Strategy, Governance, Data Governance, Business Transformation, and Analytics

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Michael R Roberts

University of Pennsylvania

4 Courses300,378 learners

Kartik Hosanagar

University of Pennsylvania

8 Courses274,464 learners

Peter Cappelli

University of Pennsylvania

3 Courses98,275 learners

Offered by

University of Pennsylvania

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Frequently asked questions

Time to completion will vary based on your schedule, but we anticipate most learners being able to finish the material in 6 months.

No specific background is required—this Specialization is ideal for technology-oriented professionals, online marketers, statisticians, automation innovators, and data professionals, or anyone seeking a competitive edge in emerging business technology.

No, you can take the courses in this Specialization in any order.

AI For Business Specialization

What you'll learn

Skills you'll gain

Tools you'll learn

What’s included

Advance your subject-matter expertise