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Prince Patni

AI image generators have been brewing (generating?) up a storm for the past year. If you've been on social media, watched prime time news shows, or read a magazine, AI-generated images have been impossible to miss. They're everywhere, and it's easy to see why: the tools necessary to make them are now good—and available to the public. If you want to join in the fun, or add some AI-powered features to your business workflows, the apps in this course will give you what you're looking for.

Read more

AI image generators have been brewing (generating?) up a storm for the past year. If you've been on social media, watched prime time news shows, or read a magazine, AI-generated images have been impossible to miss. They're everywhere, and it's easy to see why: the tools necessary to make them are now good—and available to the public. If you want to join in the fun, or add some AI-powered features to your business workflows, the apps in this course will give you what you're looking for.

In this course, we'll explore the latest tools for generating stunning images from text input. You'll learn about the different websites/tools for AI art generation, writing creative prompts and customizing the output to suit your needs.

But that's not all. This is a combined course that covers many tools in one comprehensive package. We will cover tools like Bing, Canva, Microsoft Designer, Blue Willow, Leonardo etc.

And the best part? You'll receive a certificate upon completion of the course, recognizing your mastery of this cutting-edge technology. Whether you're an artist, a researcher, a developer, a business professional, or a student, this course is the perfect opportunity to explore the exciting world of AI art generation and gain practical experience with the latest tools and techniques.

So why wait? Sign up now and join us on a thrilling journey of discovery and creativity.

Enroll now

What's inside

Learning objectives

  • Basics of text to image ai generators
  • Different tools to create image/art from prompt, like canva, leonardo, microsoft designer etc
  • How to write descriptive prompts to generate the expected image
  • Advanced topics like negative prompts, upscaling image, training models etc.

Syllabus

Introduction
Welcome
Introduction and Basics of Text to Image AI Art Generators
Exploring and Learning how to use the Text to Image AI Art Generators
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Activities

Coming soon We're preparing activities for 10 in 1 Course : Text to Image AI Art Generators Masterclass. These are activities you can do either before, during, or after a course.

Career center

Learners who complete 10 in 1 Course : Text to Image AI Art Generators Masterclass will develop knowledge and skills that may be useful to these careers:
Prompt Engineer
A Prompt Engineer specializes in crafting precise and effective textual inputs to guide artificial intelligence models towards desired outputs, particularly in fields like image generation. This role requires a deep understanding of how language influences AI behavior and the ability to iterate on prompts to achieve specific creative or functional goals. This course is exceptionally relevant for an aspiring Prompt Engineer, as its core focus is on "writing creative prompts and customizing the output" across various text-to-image AI art generators. Learners will gain direct practical experience with "descriptive prompts" and "negative prompts," which are foundational techniques for mastering the art of instructing AI to generate specific imagery, making them adept at optimizing AI performance for visual tasks.
Artificial Intelligence Artist
An Artificial Intelligence Artist creates visual artworks using AI tools, often by guiding algorithms through text prompts or other inputs to realize unique artistic visions. This creative role involves experimentation, aesthetic judgment, and an understanding of how to leverage technology for artistic expression. The "Text to Image AI Art Generators Masterclass" is perfectly suited for an Artificial Intelligence Artist, providing comprehensive practical experience with numerous cutting-edge tools. The course helps individuals master the techniques for "generating stunning images from text input" and "customizing the output," enabling them to explore new creative avenues and produce diverse, high-quality AI-generated art.
Digital Content Creator
A Digital Content Creator produces various forms of media, including text, images, and videos, for online platforms such as social media, blogs, and websites. Their goal is to engage audiences and communicate messages effectively, often requiring a constant stream of fresh and appealing visuals. This course can significantly enhance the capabilities of a Digital Content Creator by providing practical mastery of AI art generators. The ability to "generate stunning images from text input" and customize them using tools like Canva and Microsoft Designer allows for rapid production of unique, eye-catching visual content, streamlining workflows for dynamic online presence.
Concept Artist
A Concept Artist develops visual designs for characters, environments, vehicles, and props for various media, including video games, films, and animation. Their work translates ideas and narratives into compelling visual forms, often requiring extensive ideation and iteration. This course is highly beneficial for a Concept Artist, as it hones the skill of translating textual descriptions into visual ideas. By learning "how to write descriptive prompts to generate the expected image" and experimenting with various AI art generators, individuals can rapidly explore diverse visual concepts, generate mood boards, and iterate on designs more efficiently, accelerating the creative process.
Marketing Visual Designer
A Marketing Visual Designer specializes in creating captivating visual assets for marketing campaigns, advertisements, websites, and social media. This role focuses on designing visuals that attract target audiences, convey brand messages, and drive engagement. This course is very relevant for a Marketing Visual Designer, as it teaches a cutting-edge method for producing unique imagery. The practical experience with text-to-image AI art generators, including tools like Bing and Canva, provides the ability to quickly generate visually compelling and customized images for various marketing needs, offering creative flexibility and efficiency in design workflows.
Social Media Manager
A Social Media Manager oversees an organization's presence across various social media platforms, including content creation, community engagement, and performance analysis. This role requires a keen eye for trending visuals and the ability to consistently publish engaging content to capture audience attention. This course can significantly empower a Social Media Manager by providing the skills to generate a continuous flow of fresh and unique visual content. By mastering text-to-image AI art generators and learning "how to write descriptive prompts," they can produce custom, visually appealing images for posts, stories, and campaigns, keeping their social feeds dynamic and highly engaging.
Art Director
An Art Director is responsible for the overall visual style and images for projects, campaigns, or products, leading teams of designers and artists. This role involves setting the aesthetic tone, guiding visual execution, and ensuring consistency with creative vision. An Art Director may find this course helpful for rapidly prototyping visual concepts and exploring diverse aesthetic directions. By familiarizing themselves with text-to-image AI art generators like Leonardo AI and Runway ML, they can quickly generate initial visual ideas from text prompts, facilitating faster ideation and more informed guidance for their creative teams.
E-commerce Product Visualizer
An E-commerce Product Visualizer creates compelling visual representations of products for online retail platforms. This often involves crafting high-quality images that showcase product features, context, and aesthetic appeal to attract customers and drive sales. This course may be helpful for an E-commerce Product Visualizer to generate diverse product settings, background imagery, or even stylistic variations of product concepts using text-to-image AI art generators. The ability to use tools like Photosonic and PicsArt can enhance online listings with unique, eye-catching visuals without the need for extensive photography setups.
Game Asset Creator
A Game Asset Creator designs and produces visual components, such as textures, characters, environments, and props, that are used within video games. This role is crucial for building the aesthetic world and interactive elements of a game. This course may be helpful for a Game Asset Creator to rapidly prototype visual elements, generate diverse textures, or create preliminary concept art for game environments and characters using text-to-image AI art generators. The practical experience with various tools like Runway ML can accelerate the ideation phase and provide a wealth of visual options for game development.
Storyboard Artist
A Storyboard Artist creates sequential drawings that visually map out a narrative, often for films, animations, or commercials. This role translates screenplays into a series of images, depicting key scenes, character actions, and camera angles to plan production. A Storyboard Artist may find this course useful for quickly generating visual references and concept images from textual descriptions. Learning to use various text-to-image AI art generators can help them rapidly visualize scenes, experiment with different styles, and iterate on compositions more efficiently, aiding the pre-visualization process for their projects.
Brand Identity Designer
A Brand Identity Designer develops the distinctive visual elements that define a brand, including logos, color palettes, typography, and imagery, to ensure a cohesive and recognizable presence. Their work aims to communicate brand values and personality. A Brand Identity Designer may find this course useful for exploring unique visual styles and generating distinctive imagery for brand assets. By leveraging text-to-image AI art generators, they can rapidly prototype and iterate on design concepts, creating custom visuals that align with a brand's aesthetic while maintaining efficiency in the creative process.
Educator in Digital Arts
An Educator in Digital Arts instructs students on various digital art techniques, software applications, and theoretical concepts within art schools, universities, or specialized training programs. This role requires staying abreast of emerging technologies and creative methodologies. An Educator in Digital Arts may find this course useful for understanding the practical application of cutting-edge text-to-image AI generators. By gaining hands-on experience with tools like Leonardo AI and Microsoft Designer, they can integrate these innovative techniques into their curriculum, preparing students for the evolving landscape of digital creativity.
Technical Illustrator
A Technical Illustrator creates precise and detailed visual representations of complex objects, processes, or concepts for technical manuals, instructional guides, or scientific publications. Their work emphasizes clarity and accuracy. This course may be helpful for a Technical Illustrator in generating exploratory visual concepts and detailed component representations from specific textual descriptions using text-to-image AI art generators. The ability to craft "descriptive prompts to generate the expected image" can aid in visualizing intricate details or different perspectives of technical subjects, supporting the creation of accurate illustrations.
Artificial Intelligence Researcher
An Artificial Intelligence Researcher conducts scientific investigations into AI systems, algorithms, and applications, often involving data analysis, model development, and experimentation. This role typically requires an advanced degree. An Artificial Intelligence Researcher may find this course helpful for understanding the practical applications and user-facing capabilities of text-to-image AI generators. Insights gained from "how to write descriptive prompts" and exploring "advanced topics like Negative Prompts, Upscaling Image, Training Models" can inform research into human-AI interaction, model refinement, and the societal impact of generative AI from a user perspective.
Fashion Designer
A Fashion Designer creates clothing and accessories, from initial concept to final production, considering trends, materials, and target markets. This role involves sketching, fabric selection, and often presenting visual mood boards. This course may be useful for a Fashion Designer to rapidly generate innovative textile patterns, garment concepts, or mood board imagery from textual descriptions. Using various text-to-image AI art generators can accelerate the ideation phase, allowing them to visualize and explore a wider range of design possibilities and stylistic directions more efficiently.

Reading list

We haven't picked any books for this reading list yet.
Focuses on the use of prompt engineering for natural language processing. It is written by Thomas Wolf, a leading researcher in the field of NLP.
Focuses on the use of prompt engineering for recommendation systems. It is written by Masashi Sugiyama, a leading researcher in the field of recommendation systems.
Covers the use of prompt engineering for finance. It is written by Richard Roll, a leading researcher in the field of finance.
Focuses on the use of prompt engineering for education. It is written by Salman Khan, a leading researcher in the field of education.
Provides a comprehensive guide to prompt engineering, covering techniques for crafting effective inputs to generative AI models. It's particularly useful for understanding how to obtain reliable and predictable results, which is crucial for both beginners and those looking to deepen their practical skills. This book is valuable as a current reference for anyone working with generative AI.
Offers a practical, hands-on approach to prompt engineering specifically with ChatGPT. It's an excellent resource for high school and undergraduate students getting started, providing clear examples and exercises. It serves as a useful introductory guide and additional reading to complement foundational AI courses.
While not solely focused on prompt engineering, this book provides a strong foundation in understanding how LLMs work, which is essential for effective prompting. It's suitable for undergraduate and graduate students, offering technical insights into language understanding and generation. It serves as valuable background reading for those wanting to understand the underlying mechanisms of the models they are prompting. Expected publication in September 2024.
This guide aims to make prompt engineering accessible with a step-by-step approach. It is well-suited for beginners and those new to the field, including high school students and those in introductory undergraduate programs. It provides practical tips and is useful for gaining a broad understanding of how to formulate effective AI prompts.
Focuses on the creative aspects of prompt engineering and generating diverse language outputs. It's a good fit for students and professionals looking to go beyond basic prompting and explore more advanced techniques for creative content generation. It adds breadth by covering applications in areas like creative writing and podcasting.
Explores prompt engineering within the broader context of generative AI and touches upon ethical considerations. It's relevant for all levels, providing a balanced view of the technical aspects and the societal impact of generative AI. It's useful for gaining a broader understanding and considering the responsible use of AI.
Delves into the technical underpinnings of generative models, which are the foundation of systems like ChatGPT. While not strictly about prompting, understanding these models at a deeper level is invaluable for advanced prompt engineering. It's best suited for undergraduate and graduate students with a technical background. It provides essential background knowledge for those seeking to truly master prompt engineering.
This classic and widely-referenced textbook in the field of NLP. While it predates the latest advancements in LLMs and prompt engineering, it provides a foundational understanding of language processing, which is crucial for anyone serious about the field. It's highly recommended for undergraduate and graduate students as a comprehensive reference for core NLP concepts.
Widely used introduction to NLP using the NLTK library in Python. It's excellent for beginners and undergraduate students to gain practical skills in processing and analyzing text data, which fundamental prerequisite for prompt engineering. It serves as a hands-on guide for learning the basics of NLP.
A foundational text in statistical NLP, this book provides the theoretical background necessary for understanding many of the techniques used in modern LLMs. It's a valuable resource for graduate students and researchers looking to deepen their understanding of the statistical underpinnings of language models. It is more theoretical and serves as a strong reference for advanced learners.
Focuses on the practical aspects of building NLP systems. While prompt engineering specific technique, understanding the entire NLP pipeline is beneficial for professionals. It's a good reference for those looking to implement prompt engineering within larger NLP applications.
Covers the broader field of AI engineering with a focus on foundation models, which include the LLMs used in prompt engineering. It's relevant for professionals and graduate students interested in the engineering aspects of building AI applications. It provides context on how prompt engineering fits into larger AI systems.
A beginner-friendly guide to using ChatGPT. is ideal for high school students and those new to generative AI who want a straightforward introduction to interacting with models. It focuses on practical usage and good starting point before diving into more complex prompt engineering concepts.
A comprehensive guide aimed at making prompt engineering accessible to a wide audience. It covers various techniques and applications for leveraging AI language models effectively. is useful for high school students through working professionals seeking a thorough introduction and practical guidance.
This guide offers quick tips and tricks for prompt engineering across different generative AI models, including text and image generation models. It's a practical resource for users who want to improve their immediate results with various AI tools. It's suitable for all levels looking for actionable advice.
For those who want to understand the mechanics of LLMs deeply, this book guides you through building one from scratch. This is highly technical and suitable for advanced undergraduate students, graduate students, and researchers. A deep understanding of LLM architecture is beneficial for advanced prompt engineering techniques.

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