Neural networks to solve creative problems
A practical course for everyone who wants to pump a career and master a new tool
According to Smart Ranking for 2023
The largest profile design school
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Based on 1076 reviews
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4,8
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the image is created using AI
Online course "Neural networks for designers": teaching artificial intelligence
Welcome to the course "Artificial intelligence and neural networks for designers"! Here you will find all the necessary knowledge and skills for working with innovative technologies in the field
artificial intelligence and neural networks.
The course is available online, which allows you to flexibly study at any convenient time from anywhere in the world.You yourself set the pace of training and study the materials in a mode convenient for you.
A course for neuralates and artificial intelligence is needed: [1] Designers - To receive
Fast creative solutions and references. [2] DJITALS-specialists — To master from scratch
neural networks and stand out in the labor market. [3] Those who are passionate about technology — to
use the entire potential of AI and find out new scenarios of application
Our course is a unique program developed specifically for designers.It includes both basic and advanced topics, allowing you to master the key aspects of the artificial
intelligence and apply them in their design practice.
45% of designers use neural networks
The analysts of the design school found out
This tool helps them:
generate ideas and references
increase income
perform routine painstaking tasks
Optimize work processes
make complex concepts
to save time
Make these neural networks: Chat GPT | Midjourney | Stable Diffusion | Leonardo AI | Adobe Firefly | ClipDrop.co | Playground AI |
Phygital+ | Invoke ai
Make these neural networks: Chat GPT | Midjourney | Stable Diffusion | Leonardo AI | Adobe Firefly | ClipDrop.co | Playground AI |
Phygital+ | Invoke ai
For two months of training you
Make 5 diverse works for portfolio
You will use Midjourney for free
[+]
[+]
You can ask questions on weekly online wells
Make 10 demanded neural networks
[+]
[+]
Sort homework and receive feedback from the author of the course
Learn to generate images for a minute in a closed chatbot in Telegram
[+]
[+]
Midjourney
- a program based on artificial intelligence, which creates images from text descriptions.
Mokap
-This is a 3D visualization, with which you can clearly demonstrate the design of the object to the customer, as well as evaluate how successful the development was
And how it will look ready.
The logo is an inscription or image used by companies to increase recognition among the audience.
Figma is a graphic cross-platform online editor that allows users to work together in real time.
Adobe Illustrator is a program from the Adobe package designed to create and edit vector graphics objects: icon, logos, illustrations, etc. It is used in graphic design,
Web design, ux/ui design.
Landing-a web page for collecting contact data of the target audience.Used to enhance the effectiveness of advertising, increase the audience.
The mudboard in design and advertising is a collage of several images that reflect the mood of the future visual product (photo shoot, illustrations, logo, etc.).
Retouching is the process and the result of the correction of images.Before the invention of computers, retouches worked in the field of painting and classic printed photographs
technician.
Adobe Firefly is a set of generative artificial intelligence tools developed by Adobe, known for its programs for photographers and designers, such as Photoshop and Illustrator.
Learn to work with neural networks to
generate illustrations for projects - without problems with copyright
do professional ground sites and applications
With a minimum of effort
look for ideas for creating a corporate identity and logos
quickly conduct UX research and analyze competitors, setting the right plate for ChatGPT
Work of students
Кирилл Морозов Айгана
Кирилл Морозов
Айгана
Айгана
Ольга
James Figueroa
This course on neural networks and AI created
9+ years of experience in design.Makes a static and mowing schedule with the use of AI.He heads the direction of generative design.Introduces generative AI in Social applications.
He teaches newcomers to use AI in different fields
Senior Multimedia Designer
William White
Product designer
Together with the team and Chatgpt wrote his own neural network.He took first place on the largest hackathon on neural networks "Leaders of Digital Transformation" in 2023
Andrew Wise
UI/UX designer with work experience for more than 5 years.He opened his design studio with a wide range of services.Uses AI in design projects, teaches students to use neural networks to optimize
tasks and creating complex concepts
CEO of the company
Our teachers are highly qualified specialists with extensive experience in artificial intelligence and neural networks.They will help you successfully master the material and put it into practice.
Teachers
These works are done using AI and neural networks
Creation of corporate identity for packaging goods
The neural network is used in architecture
character Creation
The idea of a corporate identity from a neural network
The prototype of the application
neural network creates 3D objects
Reton photos
prototype site
Results after training
Tools
Skills
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Create complex illustrations for any projects
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Create branded styles and logos
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Combine neural networks with Figma,
Adobe Illustrator
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Midjourney — generates images, interfaces, lothtip concepts and banners according to text description
Do professional ground Landing and mobile
applications
ChatGPT — Chat Bot with AI.The system is able to generate texts of any complexity
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Conduct research and analyze competitors
In 2023, 4.7 thousand vacancies require the applicant to work with neural networks and artificial intelligence according to the data
Stability.ai — In the program, you can generate images, draw in styles of different artists, replace objects, backgrounds, create animation and videos
InvokeAI — Tools for creating images
Leonardo AI — generate images that can be used in video games: create game characters or various items
Clipdrop — A set of tools for working with neural networks
Adobe Firefly — You can quickly edit and create images, effects and much more using simple text requests
Playground AI — The neural network allows you to generate images and edit ready -made images using tools
Course program
— What is AI
— How the neural network works
— The most popular programs used by designers
— Instructions: how and where to install midjourney
— How the neural network works
— The most popular programs used by designers
— Instructions: how and where to install midjourney
— The basics of using the Midjourney interface
— Fundamentals of using the Dalle 2 interface
— Advanced use of Midjourney
— Using midjourney in graphic design
— Conclusion of pictures into vector format
— Using midjourney in UI/UX design
— Osnovs of ChatGPT
— Work analysis on online vibrations
On webinars you will learn how to do:
— wineboards in Midjourney
— Iceod at Midjourney and Adobe Illustrator
— Landjourney and ChatGPT concept
— Fundamentals of using the Dalle 2 interface
— Advanced use of Midjourney
— Using midjourney in graphic design
— Conclusion of pictures into vector format
— Using midjourney in UI/UX design
— Osnovs of ChatGPT
— Work analysis on online vibrations
On webinars you will learn how to do:
— wineboards in Midjourney
— Iceod at Midjourney and Adobe Illustrator
— Landjourney and ChatGPT concept
— Big language models
— Promov generation
— Services for generating images: Clipdrop.co, PlayGround AI, Leonardo AI, Phygital +, Adobe Firefly, Invoke ai
— Introduction to Stable Diffusion
— Expansion for Stable Diffusion
— Stable Diffusion and Extrass
— Generation audio
— Music generation instruments
— Video generation services
— Neural networks in 3D
— Work analysis on online vibrations
On webinars you will learn:
— Work at Stable Diffusion
— Create Proming
— Promov generation
— Services for generating images: Clipdrop.co, PlayGround AI, Leonardo AI, Phygital +, Adobe Firefly, Invoke ai
— Introduction to Stable Diffusion
— Expansion for Stable Diffusion
— Stable Diffusion and Extrass
— Generation audio
— Music generation instruments
— Video generation services
— Neural networks in 3D
— Work analysis on online vibrations
On webinars you will learn:
— Work at Stable Diffusion
— Create Proming
case
With the help of neural networks, create an illustration, identity or full -fledged landing.Draw up the result as a case and you can show employers
With the help of neural networks, create an illustration, identity or full -fledged landing.Draw up the result as a case and you can show employers
Figma — Make a popular graphic online editor from scratch
Adobe Illustrator - master the main tool for vector graphics to create illustrations, logos and typographics
Adobe Illustrator - master the main tool for vector graphics to create illustrations, logos and typographics
Start:
Anytime
Sign up for the course
Duration: 2 months
-40%
54
to end of the week
Additional 10% discount on one -time payment
$/month
84 $/month
when installing for 12 months without the initial contribution and overpayments
The cost of the course:
The cost of the course
Join now and become an expert in the field of artificial intelligence and neural networks for designers!
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5 works in the portfolio
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free access to Midjourney for training
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Bonuses: Figma courses, Adobe Illustrator
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Online vibrations every week
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10+ top neural networks
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Individual homework checks
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Closed Chat Bot in Telegram, where you can generate images
FAQ
#neural networks courses, #neural networks training courses, #artificial intelligence training, #neural networks Course, #Courses Artificial Intelligence and Neural Networks, #standing Networks, #Artificial Intellect
Luel training, #training neural networks online, #course on neural networks
Artificial intelligence (AI) is a wide term.He describes ML models capable of performing the tasks that a person usually does.For example, reasoning, training and acceptance
solutions.
A neural network is a type of algorithm inside AI, which imitates the work of the human brain to recognize patterns and learning based on examples.It is one From the tools that AI uses to solve problems
A neural network is a type of algorithm inside AI, which imitates the work of the human brain to recognize patterns and learning based on examples.It is one From the tools that AI uses to solve problems
On the online course of “Neural networks for designers” you will learn how to work in demanded programs: Chatgpt, Midjourney, Dalle, Stable Diffusion, Adobe Firefly
Phygital+.After training, you can create texts with the help of AI and neural networks, generate images, logos, branded styles, prototypes of landing pages, video and audio
1. Stable Diffusion
ОС Windows 10+
Nvidia GeForce video card, at least 4 GB of video memory.
16 GB of RAM
10+ GB on a hard drive orSSD
Stable Internet connection
Important: this program does not work on the Mac
2. ChatGPT
The processor: A minimum of an 8-flow processor with AVX support (preferably AVX2).Suitable processors of the AMD Ryzen 1600+ family
Memory: 8-16 GB of modern memory of the DDR4/5 standard
Video card: not required, since all processing occurs by CPU forces
3. Midjourney
Midjourney works based on Discord.
The processor: Intel Core i3−8100 8-го поколения, 4 ядра или выше, включение VT.
Memory: 8 GB and above
Place for storage: 10 GB or more affordable place for the installation disk, and 2 GB or more affordable place for the system disk
Video card: Discrete graphics Nvidia GeForce GTX1050 Ti 2G and above/
System: The 64-bit Win10 and higher system is recommended, including OpenGL 4.X.
4. Leonardo AI
The processor: Intel Core i3−8100 of the 8th generation, 4 nuclei or higher, inclusion of VT.
Memory: 8 GB and above
Place for storage: 10 GB or more affordable place for the installation disk, and 2 GB or more affordable place for the system disk
Video card: Discrete graphics Nvidia GeForce GTX1050 Ti 2G and above
System: The 64-bit Win10 and higher system is recommended, including OpenGL 4.X.
5. Clipdrop
System: The 64-bit Win10 and higher system is recommended, including OpenGL 4.X.
The processor: Intel Core i3−8100 of the 8th generation, 4 nuclei or higher, inclusion of VT.
Video card: Discrete graphics Nvidia GeForce GTX1050 Ti 2G and above
Memory: 8 GB and above
Place for storage: 10 GB or more affordable place for the installation disk, and 2 GB or more affordable place for the system disk
6. InvokeAI
System: The 64-bit Win10 and higher system is recommended, including OpenGL 4.X.
The processor: Intel Core i3−8100 of the 8th generation, 4 nuclei or higher, inclusion of VT.
Video card: Discrete graphics Nvidia GeForce GTX1050 Ti 2G and above
Memory: 8 GB and above
Place for storage: 10 GB or more affordable place for the installation disk, and 2 GB or more affordable place for the system disk
7. Adobe Firefly
The processor Intel®, AMD or ARM with support for 64-bit calculations
Windows: version 10 or later
macOS: version 12 or later Chromeos
Memory: At least 4 GB of memory
Web site requirements:
Web browsers: Chrome, Edge: 108 or later version
Firefox: 108 or later version
Safari: 15 or later
Note.It is necessary to enable JavaScript
8. Playground AI
System: The 64-bit Win10 and higher system is recommended, including OpenGL 4.X.
The processor: Intel Core i3−8100 of the 8th generation, 4 nuclei or higher, inclusion of VT.
Video card: Discrete graphics Nvidia GeForce GTX1050 Ti 2G and above
Memory: 8 GB and above
Place for storage: 10 GB or more affordable place for the installation disk, and 2 GB or more affordable place for the system disk
ОС Windows 10+
Nvidia GeForce video card, at least 4 GB of video memory.
16 GB of RAM
10+ GB on a hard drive orSSD
Stable Internet connection
Important: this program does not work on the Mac
2. ChatGPT
The processor: A minimum of an 8-flow processor with AVX support (preferably AVX2).Suitable processors of the AMD Ryzen 1600+ family
Memory: 8-16 GB of modern memory of the DDR4/5 standard
Video card: not required, since all processing occurs by CPU forces
3. Midjourney
Midjourney works based on Discord.
The processor: Intel Core i3−8100 8-го поколения, 4 ядра или выше, включение VT.
Memory: 8 GB and above
Place for storage: 10 GB or more affordable place for the installation disk, and 2 GB or more affordable place for the system disk
Video card: Discrete graphics Nvidia GeForce GTX1050 Ti 2G and above/
System: The 64-bit Win10 and higher system is recommended, including OpenGL 4.X.
4. Leonardo AI
The processor: Intel Core i3−8100 of the 8th generation, 4 nuclei or higher, inclusion of VT.
Memory: 8 GB and above
Place for storage: 10 GB or more affordable place for the installation disk, and 2 GB or more affordable place for the system disk
Video card: Discrete graphics Nvidia GeForce GTX1050 Ti 2G and above
System: The 64-bit Win10 and higher system is recommended, including OpenGL 4.X.
5. Clipdrop
System: The 64-bit Win10 and higher system is recommended, including OpenGL 4.X.
The processor: Intel Core i3−8100 of the 8th generation, 4 nuclei or higher, inclusion of VT.
Video card: Discrete graphics Nvidia GeForce GTX1050 Ti 2G and above
Memory: 8 GB and above
Place for storage: 10 GB or more affordable place for the installation disk, and 2 GB or more affordable place for the system disk
6. InvokeAI
System: The 64-bit Win10 and higher system is recommended, including OpenGL 4.X.
The processor: Intel Core i3−8100 of the 8th generation, 4 nuclei or higher, inclusion of VT.
Video card: Discrete graphics Nvidia GeForce GTX1050 Ti 2G and above
Memory: 8 GB and above
Place for storage: 10 GB or more affordable place for the installation disk, and 2 GB or more affordable place for the system disk
7. Adobe Firefly
The processor Intel®, AMD or ARM with support for 64-bit calculations
Windows: version 10 or later
macOS: version 12 or later Chromeos
Memory: At least 4 GB of memory
Web site requirements:
Web browsers: Chrome, Edge: 108 or later version
Firefox: 108 or later version
Safari: 15 or later
Note.It is necessary to enable JavaScript
8. Playground AI
System: The 64-bit Win10 and higher system is recommended, including OpenGL 4.X.
The processor: Intel Core i3−8100 of the 8th generation, 4 nuclei or higher, inclusion of VT.
Video card: Discrete graphics Nvidia GeForce GTX1050 Ti 2G and above
Memory: 8 GB and above
Place for storage: 10 GB or more affordable place for the installation disk, and 2 GB or more affordable place for the system disk
We try to flexibly approach your needs.Therefore, we take into account the circumstances and return the cost of training in whole or in part when it is provided for by the contract.
If you have changed your mind to take the course or want to get a return for another reason, you can call the hotline number - our manager will tell you about the conditions.
If you have changed your mind to take the course or want to get a return for another reason, you can call the hotline number - our manager will tell you about the conditions.
Imagine that a neural network is a person who wants to recognize fruits.We can teach him in a few steps.
Step 1: Preparation of training materials
First we collect many photos of fruit.For each picture there is a label denoting the fruit that is depicted on it.This is similar to a textbook with pictures and signatures to them.
Step 2: First lesson
We show the neural networks these photos and tell her what kind of fruit on each of them.The neural network is trying to notice the features in the pictures that will help her distinguish One object from another.For example, the bananas are usually yellow and curved, and apples are round and multi -colored.
Step 3: Knowledge testing
After the neural network looked at the examples and tried to learn them, we begin to test it: we show photos of fruits that she had not seen before.The neural network does Assumption: this is an apple, this is a banana, this is a cherry and so on.
Step 4: Evaluation and correction of errors
Every time the neural network makes a mistake, we indicate to it.The neural network is trying to understand what went wrong.For example, if she took a peach by the apple, perhaps She needs to pay attention to the texture of the skin and shape.After that, the neural network adjusts the internal parameters in order to prevent such a mistake next time.
Step 5: Repetition
This process is repeated many times.The neural network continues to study, becoming better in the definition of fruits.It’s as if the student read the textbook, solved problems, received the reverse Communication from the teacher and corrected errors, acquiring new knowledge.
When the neural network becomes good enough in fruit recognition and makes few mistakes in test photographs, we can say that the training is completed.Now A neural network student is ready to go to the “real world” and put knowledge into practice, recognizing fruits on any new images
Step 1: Preparation of training materials
First we collect many photos of fruit.For each picture there is a label denoting the fruit that is depicted on it.This is similar to a textbook with pictures and signatures to them.
Step 2: First lesson
We show the neural networks these photos and tell her what kind of fruit on each of them.The neural network is trying to notice the features in the pictures that will help her distinguish One object from another.For example, the bananas are usually yellow and curved, and apples are round and multi -colored.
Step 3: Knowledge testing
After the neural network looked at the examples and tried to learn them, we begin to test it: we show photos of fruits that she had not seen before.The neural network does Assumption: this is an apple, this is a banana, this is a cherry and so on.
Step 4: Evaluation and correction of errors
Every time the neural network makes a mistake, we indicate to it.The neural network is trying to understand what went wrong.For example, if she took a peach by the apple, perhaps She needs to pay attention to the texture of the skin and shape.After that, the neural network adjusts the internal parameters in order to prevent such a mistake next time.
Step 5: Repetition
This process is repeated many times.The neural network continues to study, becoming better in the definition of fruits.It’s as if the student read the textbook, solved problems, received the reverse Communication from the teacher and corrected errors, acquiring new knowledge.
When the neural network becomes good enough in fruit recognition and makes few mistakes in test photographs, we can say that the training is completed.Now A neural network student is ready to go to the “real world” and put knowledge into practice, recognizing fruits on any new images
The United States leads the world in the total volume of private investment in artificial intelligence.This indicator for 2022 amounted to $ 47.4 billion.This is about 3.5 times
Above the amount of investment in China, occupying a second position with $ 13.4 billion
Dispatchers and call centers operators. Neural networks can process a natural language, which allows them to conduct dialogs with people: answer questions,
Take orders, solve simple customer problems.
Professional translators. Neural networks trained in large text buildings can perform machine translation from various languages.
Truckers, taxi drivers and public transport operators. With the development of autonomous vehicles driven by neuralities, these professions can disappear or Significantly change.
Sellers and storekeepers. With the help of neural networks, you can automate the inventory and control of reserves.Based on the data, they can create Personal offers for customers are no worse than a person.
Employees in production. Neural networks can control robots on production lines, optimize processes and even conduct complex assembly operations, which reduces the need for labor.
Journalists and content managers. AI is already able to generate simple content and take on part of the work of these specialists.For example, create news Messages, reports on sporting events, posts in social networks.
Jurisprudence and document management. Neural networks can automate the analysis of documents, the search for legal precedents, and even the formation of standard documents.
Some doctors. AI already helps in the diagnosis, processing of medical images and prediction of the outcomes of diseases.He can change the role of radiologists, Pathologists and other health specialists
Professional translators. Neural networks trained in large text buildings can perform machine translation from various languages.
Truckers, taxi drivers and public transport operators. With the development of autonomous vehicles driven by neuralities, these professions can disappear or Significantly change.
Sellers and storekeepers. With the help of neural networks, you can automate the inventory and control of reserves.Based on the data, they can create Personal offers for customers are no worse than a person.
Employees in production. Neural networks can control robots on production lines, optimize processes and even conduct complex assembly operations, which reduces the need for labor.
Journalists and content managers. AI is already able to generate simple content and take on part of the work of these specialists.For example, create news Messages, reports on sporting events, posts in social networks.
Jurisprudence and document management. Neural networks can automate the analysis of documents, the search for legal precedents, and even the formation of standard documents.
Some doctors. AI already helps in the diagnosis, processing of medical images and prediction of the outcomes of diseases.He can change the role of radiologists, Pathologists and other health specialists
The development of AI creates new jobs for specialists who will create, train and serve these systems.For example:
Artificial intelligence development engineer
ML Engineer / ML Scientist.
Data analyst
Artificial intelligence development engineer
ML Engineer / ML Scientist.
Data analyst
Python is often chosen for projects with artificial intelligence, because it is easy to study and has many fans among programmers.Java is also suitable
But to learn it is more difficult.There are other languages for working with AI, for example, Julia, Haskell, Lisp, R, JavaScript, C ++, Prolog and Scala, but they are less popular
From the data that we give her.It can be pictures, texts, sounds or any other examples on which she learns to recognize patterns
Mathematics, including probability, statistics, higher mathematics and algebra.Another developer of AI should be able to program on Python and know the tools for this
Language-Numpy, Pandas, Scikit-Learn, MatPlotlib.
You can create and train neural networks using keras, TensorFlow and Pytorch.It is also important to work with databases and knowledge of the SQL queries language
You can create and train neural networks using keras, TensorFlow and Pytorch.It is also important to work with databases and knowledge of the SQL queries language