Online Course – Certified Professional Internship in AI For Business from the University of Pennsylvania

Learn the fundamentals of artificial intelligence and machine learning. Develop a deployment strategy for integrating AI, ML, and Big Data into your organization to take advantage of advanced technologies.

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Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Basics of using Big Data
  • Artificial Intelligence and Machine Learning
  • Ethics and risks associated with artificial intelligence
  • Designing management frameworks for the fair implementation of AI
  • Managing people in a fair design of human resources functions
  • Effective marketing strategies using data analysis
  • Personalization to improve the customer experience
  • Insights from industry leaders on the impact of AI and Big Data
  • Implementing ethical AI strategies for people management
  • Understanding the relationship between data analytics, artificial intelligence, and machine learning
  • Application of artificial intelligence
  • Ethical government rules
  • Big Data Management
  • The customer journey
  • Fraud prevention
  • Personalization technology
  • Developing and implementing a successful AI strategy for business

What you will learn in the course

Courses for which the course is suitable

  • Information technology project managers
  • Data analysts
  • Artificial Intelligence Experts
  • Human Resources Managers
  • Marketing managers
  • Machine learning software developers
  • Information technology consultants
  • Product Managers
  • Customer Experience Experts
  • Information Technology Ethics Researchers

Specializations – a 4-part course series

This specialization will provide learners with the fundamentals of using Big Data, artificial intelligence, and machine learning, as well as various areas where they can be implemented to support your business.

Main topics:

  • Ethics and risks associated with artificial intelligence
  • Designing management frameworks for the fair implementation of AI
  • Managing people in a fair design of human resources functions
  • Effective marketing strategies using data analysis
  • Personalization to improve the customer experience
  • Insights from industry leaders on the impact of AI and Big Data

By the end of the internship, you will be able to apply ethical AI strategies to people management and will have a better understanding of the relationship between data analytics, artificial intelligence, and machine learning.

Further reading:

Professor Haussanger’s book “A Man’s Guide to Machine Intelligence” can be used as another source. You can find the book on Professor Haussanger’s personal website or on the Penguin Randomhouse website.

Hands-on Learning Project

Each course module in this specialization culminates in an assessment, with two courses including peer review exercises. The assessments are designed to test learners’ knowledge and provide an opportunity to apply course concepts.

Assessments include:

  • Application of artificial intelligence
  • Ethical government rules
  • Big Data Management
  • The customer journey
  • Fraud prevention
  • Personalization technology

The goal is to develop and implement a successful AI strategy for your business.

Details of the courses that make up the specialization

AI Basics for Non-Data Scientists

Course 1
9 hours
4.8 (449 ratings)

What you’ll learn

  • Using machine learning to manage and interpret big data.
  • Creating algorithms using tools like Teachable Machine and TensorFlow.
  • Different ML methods and deep learning.
  • Understanding limitations and driving accuracy in algorithms.
  • Working with GANs and VAEs.
  • Interviews with industry leaders in the field of big data.
  • Coding methods and codeless tools.
  • Using big data to develop business strategies.

AI Applications in Marketing and Finance

Course 2
6 hours
4.6 (281 ratings)

What you’ll learn

  • AI applications to improve the customer experience.
  • Analysis of consumption habits and marketing focus.
  • Using machine learning to detect fraud.
  • Understanding the role of AI in machine learning in consumer habits.

AI applications in people management

Course 3
9 hours
4.7 (190 ratings)

What you’ll learn

  • AI and machine learning in human resource management.
  • Reducing biases with blockchain technology.
  • Filtering huge data to discover patterns.
  • Streamline HR functions with AI.

AI Strategy and Government

Course 4
9 hours
4.8 (190 ratings)

What you’ll learn

  • AI technologies and strategies for achieving competitive advantage.
  • Tools for using AI in business settings.
  • Identifying biases in data and maintaining privacy.
  • Government strategies are responsible for AI.