This course is part of the AI For Business Specialization

4.7
stars
81 ratings

Kartik Hosanagar +1 more instructor

5,946 already enrolled

Offered By

AI For Business SpecializationUniversity of Pennsylvania

About this Course

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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.

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 1 of 4 in the

AI For Business Specialization

Approx. 7 hours to complete

English

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 1 of 4 in the

AI For Business Specialization

Approx. 7 hours to complete

English

Instructors

Instructor rating

4.91/5 (40 Ratings)

Kartik Hosanagar

Prasanna Tambe

Associate Professor of Operations

Information and Decisions

7,792 Learners

3 Courses

Offered by

University of Pennsylvania

Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

Module 1 – Big Data and Artificial Intelligence

In this module, you will be introduced to Big Data and examine how machine learning is used throughout various business segments. You will also learn how data is analyzed and extracted, and how digital technologies have been used to expand and transform businesses. You will also get a detailed look at data management tools and how they are best implemented and the value of data warehouses. By the end of this module, you will have gained insight into how machine learning can be used as a general-purpose technology, and some best techniques and practices for data mining.

3 hours to complete

11 videos (Total 93 min), 1 reading, 1 quiz

11 videos

AI for Business Introduction8mCourse Introduction1mBig Data Overview9mBig Data Analysis5mData Management Tools7mData Management Infrastructure9mData Analysis: Extracting Intelligence from Big Data10mIntroduction to Artificial Intelligence9mMachine Learning Overview15mReinforcement Learning7mA Detailed View of Machine Learning7m

1 reading

Module 1 Slides30m

1 practice exercise

Module 1 Quiz30m

Week2

Week 2

2 hours to complete

Module 2 – Training and Evaluating Machine Learning Algorithms

In this module, you will get an in-depth look at contrasting Machine Learning methods, including logistic regression and neural nets. You will also learn about Deep Learning and its relationship to neural networks and how to best optimize Machine Learning algorithms. Lastly, you will be introduced to loss functions and how to best measure and review errors to maintain the integrity of your algorithms. By the end of this module, you will have learned about Machine Learning methods, the limitations and value of Deep Learning, how best to drive precision and accuracy in algorithms, and how to get the best training data for those algorithms.

2 hours to complete

13 videos (Total 74 min), 1 reading, 1 quiz

13 videos

Specific Machine Learning Methods: A Deep Dive18mIntro to Model Selection3mFeature Engineering and Deep Learning Introduction3mDeep Learning6mHow Deep Learning Works8mLimitations of Deep Learning2mEvaluating ML Performance3mCommon Loss Functions5mTradeoffs Between Loss Functions2mHow is Training Data Acquired?4mThe Over-Fitting Problem5mTest Data3mExamples of End-to-End Work Flow4m

1 reading

Module 2 Slides30m

1 practice exercise

Module 2 Quiz30m

Week3

Week 3

1 hour to complete

Module 3 – ML Application and Emerging Methods

In this module, you will take a look at Machine Learning within natural language processing and using generative modeling to create new data. You will also focus on AutoML and how to best utilize automated processes to make your algorithms more efficient. You will also review the no-code Machine Learning tool Teachable Machine, which serves to make Deep and Machine Learning more accessible. By the end of this module, you will be able to use AutoML in your algorithms and be able to navigate and use Teachable Machine in practice for no-code solutions to building an algorithm.

1 hour to complete

8 videos (Total 45 min), 1 reading, 1 quiz

Week4

Week 4

1 hour to complete

Module 4 - Industry Interview

In this module, you will hear from an industry leader and gain valuable insight into data sampling and building realistic usable models. Ed Lee, VP of Global Menu Strategy & Global Marketing at McDonald's, will allow you to review real-world solutions and how they handle data issues as one of the most successful global brands. By the end of this module, you will have heard from a top industry expert in their field and gained firsthand knowledge and understanding of how Big Data plays into maintaining privacy in data and also utilizing that data to enhance your marketing, content, and refine your algorithms.

1 hour to complete

1 video (Total 13 min)

Reviews

4.7

18 reviews

5 stars
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4 stars
13.09%
3 stars
1.19%
2 stars
1.19%
1 star
3.57%

TOP REVIEWS FROM AI FUNDAMENTALS FOR NON-DATA SCIENTISTS

by CLSep 6, 2022

This course is very interesting and well presented.

by THJan 9, 2023

The Course is quite informative. I'd like to see more information about specific nomenclature in this area and more interviews with actual specialists.

by DMDec 20, 2022

It is a great foundamental course about AI to help professionals and companies build AI skills.

by KHFeb 14, 2022

Excellent information and presentation. The only drawback in being so thought provoking, the format does not allow for active convesations in expanding understanding or ideas.

View all reviews

About the AI For Business Specialization

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.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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.

More questions? Visit the Learner Help Center.

AI Fundamentals for Non-Data Scientists

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