Generative AI Courses to Create Realistic Images for AI Artists
Generative AI courses explore various AI art tools, techniques, and platforms like Midjourney, Stable Diffusion, and DALL-E, enabling students to create unique digital artworks through prompt engineering and style manipulation. Students learn to develop their digital artistic capabilities by gaining expertise in skills related to prompt crafting, image composition, and ethical considerations in AI art creation.
Table of Contents
- Why Should Students Enrol in Generative AI Courses?
- Useful Generative AI Courses to Create Realistic Images for AI Artists
Why Should Students Enrol in Generative AI Courses?
People who aspire to become AI artists should enrol in Generative AI courses for the following reasons:
- Generative AI courses help in learning the fundamentals of diffusion models, VAEs (Variational Autoencoders), and transformers helps students grasp why some prompts work better than others. For instance, understanding how latent space works in Stable Diffusion helps them better control image composition and style transfer.
- These courses help in understanding token weighting, negative prompts, and attention mechanisms enable precise control. For example, learning how "(masterpiece: 1.2)" affects token weight differently from "masterpiece" alone, or how to use negative prompts like "blurry, bad anatomy" to improve image quality.
- Students will learn structured prompting approaches like: "subject: detailed description, style: specific artist/movement, medium: painting/digital, lighting: specific conditions, composition: rule of thirds/golden ratio".
- By enrolling in Generative AI courses, students will learn to manipulate technical parameters such as CFG Scale (Classifier Free Guidance) for balancing creativity vs prompt adherence, sampling steps for detail control, imbibing values for reproducibility, CLIP guidance for better aesthetic alignment and denoising strength for img2img transformations
- Generative AI courses help in understanding fine-tuning concepts helps students in creating custom Textual Inversion embeddings for consistent style, training LoRA (Low-Rank Adaptation) models for specific artistic styles, implementing Hypernetworks for specialized artistic effects and use DreamBooth for personalizing models with their art style.
Useful Generative AI Courses to Create Realistic Images for AI Artists
The following Generative AI courses are useful for AI artists:
1. AI Foundations: Prompt Engineering with ChatGPT
This Generative AI course helps students evaluate prompts and after evaluation, helps them in creating impactful AI prompts. The course includes prompt templates, creative prompt structures and ways to design prompts for tasks and applications.
Course Name |
|
Duration |
6 hours |
Provider |
|
Course Fee |
₹ 4,117/month |
Trainers |
Andrew Maynard |
Skills Gained |
ChatGPT and Prompt Engineering |
Students Enrolled |
8,428 students |
Rating |
4.0/5 (650+ ratings) |
Learner’s Experience:
I loved the lectures and the exercises.
PROs: I like that I learned about RACCCA, a critical thinking tool to be used at the end of each Prompt session. Its purpose is to make sure your objectives from the Prompt session were fully met. ChATGPT4 isn't perfect, makes mistakes, and needs knowledgeable human direction. It enhances your professional use of ChatGPT. Also, there is an option in the Discussions to share your favorite prompt. A few that were shared were really good!
CON: I wasn't fond of being peer reviewed, especially on the last assignment. I understand the faculties' interest in expanding students' knowledge of the many interesting and varied ways a problem can be solved by ChatGPT. However, I take these classes late at night. Evaluating someone else's work is double duty for me. Overall, I encourage anyone interested in Prompt Engineering to take this class. I learned too much to have one little con take a star away.
Explore prompt engineering courses
2. Machine Learning with ChatGPT: Image Classification Model
This course helps in understanding the capabilities of ChatGPT and its role in generative machine learning code. The course helps students optimize the performance of machine learning models by enhancing the hyperparameters with ChatGPT.
Course Name |
|
Duration |
1 hour |
Provider |
|
Course Fee |
₹ 4,117/month |
Trainers |
Jousef Murad |
Skills Gained |
Artificial Neural Network, Python Programming, Machine Learning and Keras |
Students Enrolled |
3,135 students |
Rating |
4.4/5 (650+ ratings) |
Learner’s Experience: There is very little scope to innovate or learn when you are doing everything using ChatGPT. However, it was a decent outing. Thank you.
3. Digital Arts and AI Tools Fluency
The course covers from the basics of digital arts (elements and design principles) to using Generative AI tools such as ArtBreeder, Midjourney and DALL-E. Students will learn to work with image using free online software and how they can effectively write prompts for AI-based text-to-image tools.
Course Name |
|
Duration |
5 hours |
Provider |
|
Course Fee |
₹ 20,500 |
Trainers |
May Friej and Raphael Mallari |
Skills Gained |
Artificial Neural Network, Python Programming, Machine Learning and Keras |
Students Enrolled |
3,135 students |
Rating |
4.4/5 (650+ ratings) |
Learner's Experience: The course is easy to understand and is useful for me as an artist who is currently doing digital arts. Course teaches easy use of AI tools for image generation and prompts for better image creation. Overall, it's a good course.
4. Fundamentals of Digital Image and Video Processing
In this course, students will learn about image and video processing. Signals and systems, fourier transform and sampling, motion estimation, image enhancement, image recovery, image and video compression as well as image and video segmentation will be taught in this course.
Course Name |
|
Duration |
36 hours |
Provider |
|
Course Fee |
₹ 4,117/month |
Trainers |
Aggelos K. Katsaggelos |
Skills Gained |
Image Processing, Data Compression and Matlab |
Students Enrolled |
3,135 students |
Rating |
4.6/5.0 (1,742 reviews) |
Learner’s Experience: This was an exceptionally good experience to participate in this course. Sadly, I had to unenroll from the course before completing it because of personal issue with time management. Course material was challenging and rewarding at the same time. I look forward to come back in future and complete the course.
5. Create Beautiful Imagery with Midjourney A.I.
Through this course, students will learn to generate images using Midjouney tool. In this course, list and types of prompts to communicate with Midjourney will be explained. Beginner prompts, advanced prompts, style ideas and proprompting with Midjourney will be discussed in this course.
Course Name |
|
Duration |
5 hours |
Provider |
|
Course Fee |
₹2,499 |
Trainers |
Aggelos K. Katsaggelos |
Skills Gained |
Midjourney and Generative AI |
Students Enrolled |
6,567 students |
Rating |
4.9/5.0 (1,176 reviews) |
Learner’s Experience: Good introduction to the AI world and MJ. I knew probably 98% before starting this course, so it was not that helpful to me. However, for a newbie, this might be a good start. But honestly, if you read the MJ manual, you will get much more information. And one note - the instructor promised updates, but the last update was 8 months ago and since then, some of the features changed/changed places..
Conclusion
Whether they're established artists looking to become skilled in generating images through AI or they are newcomers who want to leverage art and technology for better image creation, these courses provide comprehensive training in both the technical and artistic aspects of AI-generated art.
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