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Kevin Noelsaint
This course walks learners through setting up their OpenAI trial, generating API keys, and making their first API request. Learners are introduced to the basics of using the Dall-E API to generate a variety of images.
Register for this course and see more details by visiting:
OpenCourser.com/course/c6m031/images
What's inside
Syllabus
Intro to DALL·E
DALL·E & PIL
DALL·E Advance
Read more
Syllabus
Intro to DALL·E
DALL·E & PIL
DALL·E Advance
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces DALL·E, and its uses in image generation
Builds a foundation for learners who wish to utilize the DALL·E API
Adequate for individuals seeking basic knowledge of DALL·E and its functionalities
Implementing knowledge gained in hands-on settings may necessitate additional guidance
Save this course
Save Images with DALL-E 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 Images with DALL-E with these
activities:
Review Computer Vision and Image Processing Concepts
Show steps
Strengthen understanding of foundational concepts related to DALL·E API's functionality
Browse courses on
Computer Vision
Show steps
-
Review materials on image representation, feature extraction, and computer vision algorithms
-
Complete practice exercises to apply computer vision concepts to image analysis tasks
-
Relate the reviewed concepts to the working principles of DALL·E API
Introduction to DALL·E 2's Image Generation Model
Show steps
Build understanding of DALL·E 2's capabilities and potential applications
Show steps
-
Follow a guided tutorial to set up OpenAI account and DALL-E 2 API
-
Experiment with image generation using provided prompts and parameters
-
Read documentation and explore OpenAI's official resources to expand knowledge
Generate Images Using DALL-E API
Show steps
Apply knowledge of DALL·E API by generating images
Show steps
-
Generate an image using DALL-E API to experiment with API functionality
-
Make subsequent requests to API with variations in parameters to observe variable outcomes
-
Save and share generated images for further analysis
One other activity
Expand to see all activities and additional details
Show all four activities
Develop a Collection of Generated Images with Varying Parameters
Show steps
Enhance creative thinking by experimenting with diverse DALL·E API parameters
Show steps
-
Identify a topic or theme to generate images around
-
Experiment with different combinations of prompts, style options, and generation settings
-
Create a gallery or portfolio showcasing the range of generated images
-
Share the collection with other learners or interested parties for feedback and discussion
Review Computer Vision and Image Processing Concepts
Show steps
Strengthen understanding of foundational concepts related to DALL·E API's functionality
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Review materials on image representation, feature extraction, and computer vision algorithms
- Complete practice exercises to apply computer vision concepts to image analysis tasks
- Relate the reviewed concepts to the working principles of DALL·E API
Introduction to DALL·E 2's Image Generation Model
Show steps
Build understanding of DALL·E 2's capabilities and potential applications
Show steps
Show steps
Show steps
- Follow a guided tutorial to set up OpenAI account and DALL-E 2 API
- Experiment with image generation using provided prompts and parameters
- Read documentation and explore OpenAI's official resources to expand knowledge
Generate Images Using DALL-E API
Show steps
Apply knowledge of DALL·E API by generating images
Show steps
Show steps
Show steps
- Generate an image using DALL-E API to experiment with API functionality
- Make subsequent requests to API with variations in parameters to observe variable outcomes
- Save and share generated images for further analysis
One other activity
Expand to see all activities and additional details
Show all four activities
Develop a Collection of Generated Images with Varying Parameters
Show steps
Enhance creative thinking by experimenting with diverse DALL·E API parameters
Show steps
Show steps
Show steps
- Identify a topic or theme to generate images around
- Experiment with different combinations of prompts, style options, and generation settings
- Create a gallery or portfolio showcasing the range of generated images
- Share the collection with other learners or interested parties for feedback and discussion
Career center
Learners who complete Images with DALL-E will develop knowledge and skills
that may be useful to these careers:
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers advance artificial intelligence and machine learning technologies. They develop and design new algorithms, while also improving existing ones. DALL-E is an exceptional tool for developing AI models and would be incredibly helpful to an AI Engineer. This course can help you build a foundation in using DALL-E.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers design and develop computer vision systems that can understand and interpret images. DALL-E can be used for a variety of computer vision tasks, such as object detection, image classification, and image segmentation. This course can help you get started using DALL-E for your computer vision projects.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and maintain machine learning models that can automate complex tasks. DALL-E is a cutting-edge tool for developing machine learning models. Understanding how to integrate DALL-E into your work can make you a more efficient Machine Learning Engineer. This course can help you learn to use DALL-E and integrate it into your machine learning models.
Data Scientist
Data Scientist
Data Scientists use machine learning, data analysis, and other tools and techniques to extract insights from data. The data that they work with often comes in the form of images. DALL-E can generate images for you based on your data, so an understanding of DALL-E would be helpful. This course can help you gain an understanding of how to use the DALL-E API.
User Experience Designer
User Experience Designer
User Experience Designers design and develop user interfaces that are both user-friendly and visually appealing. DALL-E can be used to create unique and visually appealing images that can enhance the user experience. This course can help you learn how to use DALL-E to create images that can improve the user experience of your products.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software. DALL-E is a powerful tool that can be used to create unique and visually appealing images. This course can help you learn how to use DALL-E to create images that can enhance your software applications.
Web Designer
Web Designer
Web Designers create and maintain websites. They are responsible for the visual appearance of a website, as well as its usability. DALL-E can be used to create unique and visually appealing images for websites. This course can help you learn how to use DALL-E to improve the visual appeal of your websites.
Graphic designer
Graphic designer
Graphic Designers create visual concepts, using computer software or by hand, to communicate ideas that inspire, inform, and captivate consumers. DALL-E can be used by graphic designers to generate unique and visually appealing images for their projects. This course can help you learn how to use DALL-E to improve your graphic design work.
Art Director
Art Director
Art Directors oversee the visual style and concepts of a variety of media, including print, digital, and film. DALL-E can be used to create unique and visually appealing images for a variety of projects. This course can help you learn how to use DALL-E to improve the visual appeal of your projects.
Technical Artist
Technical Artist
Technical Artists use their knowledge of both art and technology to create digital assets for video games, movies, and other forms of media. DALL-E can be used to create unique and visually appealing images for a variety of projects. This course can help you learn how to use DALL-E to improve the visual appeal of your projects.
Animator
Animator
Animators create moving images for a variety of media, including film, television, and video games. DALL-E can be used to create unique and visually appealing images for a variety of projects. This course can help you learn how to use DALL-E to improve the visual appeal of your animations.
Product Designer
Product Designer
Product Designers design and develop physical and digital products. DALL-E can be used to create unique and visually appealing images for a variety of products. This course can help you learn how to use DALL-E to improve the visual appeal of your products.
Creative Director
Creative Director
Creative Directors oversee all aspects of the creative process for a variety of media, including print, digital, and film. DALL-E can be used to create unique and visually appealing images for a variety of projects. This course can help you learn how to use DALL-E to improve the creative process for your projects.
Visual Artist
Visual Artist
Visual Artists create art using a variety of media, including paint, sculpture, and photography. DALL-E can be used to create unique and visually appealing images for a variety of projects. This course can help you learn how to use DALL-E to improve the visual appeal of your artwork.
Photographer
Photographer
Photographers take pictures for a variety of purposes, including commercial, artistic, and personal. DALL-E can be used to create unique and visually appealing images for a variety of projects. This course can help you learn how to use DALL-E to improve the visual appeal of your photographs.
For more career information including salaries, visit:
OpenCourser.com/course/c6m031/images
Reading list
We've selected 13 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
Images with DALL-E.
Provides a gentle introduction to artificial intelligence, including generative AI like DALL-E, for readers with no background in the field.
Save
Provides a comprehensive overview of computer vision algorithms and applications, including image generation.
Introduces the fundamentals of deep learning, the underlying technology behind DALL-E. It offers a practical approach with Python code examples, providing a strong foundation for understanding the course materials.
Save
Provides a comprehensive overview of generative adversarial networks (GANs), which are used to generate realistic images like those produced by DALL-E.
Provides a comprehensive overview of statistical learning methods, including those used in generative AI models like DALL-E.
Explores generative deep learning models, including their architectures, training methods, and applications. It provides a comprehensive overview of the field, complementing the course's focus on image generation.
Provides a comprehensive overview of generative deep learning, including models like DALL-E.
Covers the fundamentals of artificial intelligence and machine learning. While it does not directly focus on generative models like DALL-E, it provides a solid foundation for understanding their underlying principles.
Provides a comprehensive overview of machine learning from a probabilistic perspective, including generative models like DALL-E.
Provides a comprehensive overview of pattern recognition and machine learning, including generative models like DALL-E.
Combines practical deep learning techniques with fastai and PyTorch. While it does not focus on generative models, it provides valuable insights into deep learning implementation, which is relevant to understanding DALL-E's inner workings.
Provides a comprehensive overview of information theory, inference, and learning algorithms, including generative models like DALL-E.
Save
Provides a comprehensive overview of the new science of cause and effect, which is relevant to generative models like DALL-E.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/c6m031/images
Share
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Effort
2-3 hours/week
Level
Introductory
Via
Coursera
Institution
Codio
Instructor
Kevin Noelsaint
Language
English
This course belongs to a
collection
called
Getting Started with Generative AI API. It's comprised of three courses:
- Images with DALL-E (viewing)
- Getting Started with Generative AI APIs
- Generating code with ChatGPT API
Good to know
Introduces DALL·E, and its uses in image generation
Builds a foundation for learners who wish to utilize the DALL·E API
Adequate for individuals seeking basic knowledge of DALL·E and its functionalities
Implementing knowledge gained in hands-on settings may necessitate additional guidance
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