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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Offered by Parsons School of Design via Coursera, Artificial Creativity is an intermediate-level online course. The course contains 13 hours of learning which is divided into five modules, teaching about theories and techniques behind artificial creativity. The Artificial Creativity certification by Coursera equips learners with design thinking research methods while enabling them to apply these methods for their creative insights and convert them into professional and business contexts. With this online course, students will learn to evaluate the potential of creative AI in everyday experience.
With the increasing use of AI applications and tools, Artificial Creativity talks about creativity in AI from a design perspective. By studying the Artificial Creativity online course, students will be able to conduct design research and execute the theories and techniques they learn from the course in a topic of their interest. Alongside videos and reading materials, the Artificial Creativity training also contains quizzes that help students develop their understanding of the subject.
The Highlights
- Intermediate-level online course
- Offered via Coursera
- 5 Modules
- Certification on completion
Programme Offerings
- 13 hours of online learning
- Comprehensive curriculum
- videos
- Reading Materials
- Practice Exercises
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
The Artificial Creativity certification fee can be paid in 1 month, 3 months, and 6 months. Students can choose any one plan and access the course. The 1-month course fee is Rs 3,243, the 3-month course fee is Rs 2,162 per month, and the 6-month course fee is Rs 1,622 per month.
Students can also choose the ‘Audit the course’ option to access it for free. However, they will not be able to access graded assignments and will not receive a certificate, except for accessing the course and reading materials.
Artificial Creativity Fee Structure
Particulars | Description |
1-month Course Fee | Rs 3,243 |
3-month Course Fee | Rs 2,162 per month |
6-month Course Fee | Rs 1,622 per month |
Audit the Course | Free |
Eligibility Criteria
Certification Qualifying Details
Students will be awarded a shareable certificate after completing the Artificial Creativity certification by Coursera. They can add the certificate to their LinkedIn profile, resume, or CV, and share it on social media.
What you will learn
Upon completion of the Artificial Creativity certification syllabus, students will learn about the techniques and theories of artificial creativity. They will learn to characterise and execute a variety of design research methodologies. They will also get familiar with business applications and understand customer behaviour. After completing the Artificial Creativity certification syllabus, students will further get to know about the potential science of AI and how to make things creative.
Who it is for
The Artificial Creativity training programme is apt for those individuals who want to learn about creativity in artificial intelligence (AI) from a design perspective. The online certification course can also be pursued by the following professionals:
Admission Details
Candidates can check the step-by-step process to join the Artificial Creativity classes.
Step 1: Browse the official URL - https://www.coursera.org/learn/artificial-creativity
Step 2: Click ‘Enrol for free’
Step 3: Select the course duration and fee plan
Step 4: Pay the requisite fee
Step 5: Start learning
Application Details
To enrol in the Artificial Creativity certification course, candidates should visit the official website of Coursera. They need to choose the duration and fee plan for the course to start learning.
The Syllabus
Video
- Welcome to Artificial Creativity
- Welcome to the Class
- A Creative Move by AlphaGo Introduction
- A Creative Move by AlphaGo
- Personal Reflection: A Creative Move by AlphaGo
- Your First Design Research Challenge: Observational Research Introduction
- Your First Design Research Challenge: Observational Research
- Personal Reflection: Observational Research
- Can Machines Be Creative? Conclusion
Reading
- Key Terminologies and Concepts
- Go Even Further with Parsons
- Required Reading: AlphaGo
- Business Application: Understanding Customer Behavior Through Observation
- Optional Reading: Universal Methods of Design
Quiz
Can Machines Be Creative? Quiz
Discussion Prompt
- Welcome to the Class
- A Creative Move by AlphaGo
- Observational Research
Video
- The Origins of Artificial Intelligence Introduction
- The Origins of Artificial Intelligence
- Personal Reflection: The Origins of Artificial Intelligence
- Determining Artificial Intelligence: The Turing Test Introduction
- Determining Artificial Intelligence: The Turing Test
- Personal Reflection: Determining Artificial Intelligence: The Turing Test
- Experimenting with Artificial Creativity: OpenAI's GPT-2 and Sony's Flow Machines Introduction
- Experimenting with Artificial Creativity: OpenAI's GPT-2 and Sony's Flow Machines
- Personal Reflection: Experimenting with Artificial Creativity: OpenAI's GPT-2 and Sony's Flow Machines
- Design Research: Analysis Introduction
- Design Research: Analysis
- Personal Reflection: Design Research: Analysis
- The Poetical Science of AI Conclusion
Reading
- Optional Reading: The Innovators: How a Group of Hackers, Geniuses, and Geeks Created the Digital Revolution by Walter Isaacson
- Required Reading: Computing Machinery and Intelligence
- Video Activity: Experimenting with Artificial Creativity: OpenAI's GPT-2 and Sony's Flow Machines
- Required Reading: OpenAI's GPT-2 and Sony's Flow Machines
- Video Activity: Design Research: Analysis
- Business Application: Integrating Diverse Data Sources with Analysis Activities
Quiz
The Poetical Science of AI Quiz
Discussion Prompt
- The Origins of Artificial Intelligence
- Determining Artificial Intelligence: The Turing Test
- Experimenting with Artificial Creativity: OpenAI's GPT-2 and Sony's Flow Machines
- Design Research: Analysis
Video
- Understanding the Symbolic Approach to AI Introduction
- Understanding the Symbolic Approach to AI
- Personal Reflection: Understanding the Symbolic Approach to AI
- Meet AARON: Computer-Generated Original Art Introduction
- Meet AARON: Computer-Generated Original Art
- Personal Reflection: Meet AARON: Computer-Generated Original Art
- Generative Art: Simulating Life with AI Introduction
- Generative Art: Simulating Life with AI
- Personal Reflection: Generative Art: Simulating Life with AI
- Design Research: Interview Introduction
- Design Research: Interview
- Personal Reflection: Design Research: Interview
- Advanced Theories and Techniques Behind Artificial Creativity: Part I Conclusion
Reading
- Optional Reading: Artificial Intelligence: A Guide for Thinking Humans
- Video Activity: Meet AARON: Computer-Generated Original Art
- Optional Reading: Harold Cohen and AARON - A 40 Year Collaboration
- Video Activity: Generative Art: Simulating Life with AI
- Optional Reading: The Lasting Lessons of John Conway's Game of Life
- Business Application: Better Alignment with Strategic Partners through Interview Techniques
Quiz
- Advanced Theories and Techniques behind Artificial Creativity: Part I Quiz
Discussion Prompt
- Understanding the Symbolic Approach to AI
- Meet AARON: Computer-Generated Original Art
- Generative Art: Simulating Life with AI
- Design Research: Interview
Video
- Understanding the Subsymbolic Approach to AI Introduction
- Understanding the Subsymbolic Approach to AI
- Personal Reflection: Understanding the Subsymbolic Approach to AI
- The Next Rembrandt: Can AI Generate a Masterpiece? Introduction
- The Next Rembrandt: Can AI Generate a Masterpiece?
- Personal Reflection: The Next Rembrandt: Can AI Generate a Masterpiece?
- Creating Machine Learning Models with Google's Teachable Machine Introduction
- Creating Machine Learning Models with Google's Teachable Machine
- Personal Refelction: Creating Machine Learning Models with Google's Teachable Machine
- Design Research: Ideation Introduction
- Design Research: Ideation
- Personal Reflection: Design Research: Ideation
- Advanced Theories and Techniques Behind Artificial Creativity: Part II Conclusion
Reading
- Video Activity: The Next Rembrandt: Can AI Generate a Masterpiece?
- Video Activity: Creating Machine Learning Models with Google's Teachable Machine
- Business Application: Generating Effective Solutions with Ideation
Quiz
Advanced Theories and Techniques Behind Artificial Creativity: Part II Quiz
Discussion Prompt
- Understanding the Subsymbolic Approach to AI
- The Next Rembrandt: Can AI Generate a Masterpiece?
- Creating Machine Learning Models with Google’s Teachable Machine
- Design Research: Ideation
Video
- Creativity Through Computation Introduction
- Creativity Through Computation
- Personal Reflection: Creativity Through Computation
- Can Machines Imagine? Introduction
- Can Machines Imagine?
- Personal Reflection: Can Machines Imagine?
- Creating Generative Art with NVIDIA's AI Playground Introduction
- Creating Generative Art with NVIDIA's AI Playground
- Personal Reflection: Creating Generative Art with NVIDIA's AI Playground
- Design Research: LoFi Prototype Introduction
- Design Research: LoFi Prototype
- Personal Reflection: Design Research: LoFi Prototype
- Artificial Creativity Conclusion
Reading
- Optional Reading: Computational Creativity
- Video Activity: Can Machines Imagine?
- Optional Reading: Inceptionism: Going Deeper into Neural Networks
- Video Activity: Creating Generative Art with NVIDIA's AI Playground
- Optional Reading: Semantic Image Synthesis with Spatially-Adaptive Normalization
- Business Application: De-risking Research and Development with LoFi Prototyping
Quiz
Would You Collaborate with a Machine? Quiz
Peer Review
- Share Your Observational Research
Discussion Prompt
- Creativity Through Computation
- Can Machines Imagine?
- Creating Generative Art with NVIDIA's AI Playground
- Design Research: LoFi Prototypes
Parsons School of Design, The New School, New York Frequently Asked Questions (FAQ's)
The course is taught by Jeongki Lim, Assistant Professor of Strategic Design and Management, Parsons School of Design, The New School.
Once you are enrolled in the course, you will be provided with access to reading materials.
When you take this online course with an Audit only option, you can access the course but will not be provided with graded assignments and a certificate.
There is no prerequisite to pursuing this online certification course.
Upon completing this online course, you will acquire skills such as AI, design thinking, business applications, computational creativity, and machine learning that you can apply to your work setting in any business domain.
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