Based on the final project results, the top graduate will be guaranteed an internship at one of our partner creative agencies.
The program is entirely based on practice-oriented learning, during which students will have the opportunity to familiarize themselves with the process of working on various types of projects, the correct principles of creating visuals, and design directions. They will learn from scratch the essential technical aspects of graphic editors necessary for working in different directions. By gaining technical knowledge of Adobe Photoshop and Adobe Illustrator, they will learn to create visuals for various media channels, correctly analyze briefs, create mood boards, and plan design projects.
Throughout the program, after each lecture, students will independently complete corresponding practical exercises. They will also receive advice/consultations on career development. At the end of the course, they will create an individual project that will tie together the portfolio created during the course.
კურსის დასრულების შემდეგ შეგეძლება
დამატებითი უნარები: Adobe Photoshop, Adobe Illustrator.
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Work on raster and vector designs in Adobe Photoshop and Adobe Illustrator
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Develop designs technically, stylistically, and content-wise
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Create visuals for brands
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Analyze briefs and create mood boards
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Make logo sketches and draft versions
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Adapt visuals for different media channels
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Correctly plan design projects
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Properly analyze briefs
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Complete tasks using simple and short methods by applying various principles
ვისთვის არის კურსი
Complete Beginners
For those who want to learn graphic design from scratch, take their first steps in the field of design, and be able to develop further independently.
Creative Individuals
For those who draw digitally and want to turn this skill into a source of income.
პროგრამა მოიცავს
Alumni Club
After successfully completing the final exam, graduates will be automatically enrolled in the Alumni Club. This membership grants them access to exclusive events, content, and special offers from our partner companies.
Work Based Learning
The course includes practice-based learning, including assignments/exercises and individual projects.
Bilingual Certification
Upon successful completion of the course, students will receive a bilingual certificate.
კურსდამთავრებულები
სილაბუსი
აარჩიე შენთვის სასურველი დრო
ლექტორები
დავით მსახურაძე
Graphic Design
დავით მსახურაძე
Graphic Design
დათო გრაფიკოს-დიზაინერი და ილუსტრატორია, რომელსაც ამ სფეროში უკვე 8 წლიანი გამოცდილება აქვს. ამ დროის განმავლობაში უმუშავია ისეთ კომპანიებსა და სააგენტოებში, როგორებიცაა Leavingstone, McCann, GIPA, ხოლო ამჟამად სენიორ გრაფიკოს-დიზაინერის როლს იკავებს კრეატიულ სააგენტო Windfor’s-ში. მის დამკვეთებს შორის არიან საერთაშორისო კრეატივის ფესტივალი Ad Black Sea, Coca-Cola, EU for Energy, Canada Fund for Local Initiatives, Bank of Georgia, Terabank, Tbilisi Mall, Veli.Store და ა.შ. დათო ორიენტირებულია, ნამუშევრები გრაფიკული დიზაინისა და ილუსტრაციის ერთობლივი გამოყენებით შექმნას, სადაც ილუსტრაცია არა დამხმარე, არამედ ნამუშევრის ძირითადი ნაწილია. მთავარი მიმართულებები, რომელზეც დათო აქტიურად მუშაობს არის ლოგო, გრაფიკული ილუსტრაცია, პერსონაჟების დიზაინი, ვიზუალური იდენტობა, ლეთერინგი და პოსტერის დიზაინი.
მარიამ გოგიაშვილი
Graphic Design for Beginners
მარიამ გოგიაშვილი
Graphic Design for Beginners
მარიამი ილუსტრატორი & გრაფიკოს დიზაინერია და ამ მიმართულებით მას ექვსწლიანი გამოცდილება აქვს როგორც ქართულ, ისე უცხოურ ბაზარზე. კარიერა წლების წინ სხვადასხვა მედიუმში ფრილანს მოღვაწეობით დაიწყო – გრაფიკული დიზაინი, ილუსტრაცია, ასევე ფოტოგრაფია, ვიდეო, კედლის მხატვრობა. ბოლო 2 წლის განმავლობაში მუშაობდა In-House დიზაინერად და ილუსტრატორად Adjara Group-ში ისეთ ბრენდებზე, როგორებიცაა: Stamba, Rooms, Holiday Inn, Shio, Milk, Udabno, Lolita, DBlock, Fabrika, TheShop AG, Shukura, ამჟამად კი კვლავ ფრილანს პროექტებზე მუშაობს. ბოლო დროს განხორციელებულ პროექტებს შორისაა: The Pearl Club ბრენდინგი, Art Direction, ფოტო, ვიდეო; Cord Brunch & Bar – ბრენდინგი, ილუსტრაცია, კონტენტი; Coda Story – Editorial illustration; ილუსტრაციები გამოფენისთვის – United for Georgia’s European Way. მარიამის პორტფოლიოს გამოარჩევს სხვადახვა მედიუმის სინთეზით შექმნილი ნამუშევრები
Behanceთამუნია ბუდაღაშვილი
Graphic Design for Beginners
თამუნია ბუდაღაშვილი
Graphic Design for Beginners
თამუნია გრაფიკოსი დიზაინერია, რომელსაც ამ სფეროში მუშაობის 11 წლიანი გამოცდილება აქვს. მისი ინტერესები ფარავს ისეთ სფეროებს, როგორებიცაა: ბრენდინგი და იდენტობა, ციფრული ილუსტრაცია, სოციალური მედია მარკეტინგი, რეკლამა და დიზაინი. კარიერის განმავლობაში მას უმუშავია ისეთ კომპანიებში, როგორებიცაა Stamba, Socialsharks Georgia, crystalbet.com, Vasco & Gama, ABK COMMUNICATION, BETDEALOFFICIAL, europebet, პოლიგრაფია და Livingstone. იგი სხვადასხვა დროს იკავებდა გრაფიკოს დიზაინერის, უფროსი გრაფიკოს დიზაინერის და არტ დირექტორის თანამდებობებს. ამჟამად თამუნია Giti//c-ში წამყვანი გრაფიკოს დიზაინერის პოზიციაზე მუშაობს, სადაც იგი აგრძელებს თავისი უნარების გამოყენებასა და განვითარებას კრეატიული პროექტების ფარგლებში.
Linkedinოთო მიქაძე
Graphic Design for Beginners
ოთო მიქაძე
Graphic Design for Beginners
ოთოს გრაფიკული დიზაინის ინდუსტრიაში მუშაობის რამდენიმეწლიანი გამოცდილება აქვს. კარიერა Holmes & Watson-ში დიჯითალ დიზაინერად დაიწყო და მალევე კრეატივის გუნდს შეუერთდა ბრენდინგისა და კამპანიების მიმართულებით. შემდეგ საქართველოს ბანკის Senior Graphic Designer-ის პოზიცია დაიკავა. ამჟამად მუშაობს ფრილანსზე და ფოკუსირებულია ლოგოსა და ბრენდინგის მიმართულებით. მას ასევე უმუშავია ისეთი პროექტებისთვის, როგორებიცაა საქართველოს ბანკის “გავშლით ფრთებს”, “Update”, “არ გაჩერდე”, “500 Startups Georgia”, თიბისის “შენ”, “ახალი წელი მოსულა”, ასევე “GBF” რებრენდინგსა და “Tbilisi School of Communication” ბრენდინგზე
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იხილე სრულადAI in Graphic Design - Explore the Portfolio of Course Instructor John Kvezereli
ასე რომ, თუ მზად ხარ, ტექნოლოგიური სფეროს N1 მაღალანაზღაურებად პროფესიას დაეუფლო, Commschool-ში გელოდებით. გამოიყენე ეს შესაძლებლობა და შემოგვიერთდი მონაცემთა ანალიტიკის კურსზე!ასე რომ, თუ მზად ხარ, ტექნოლოგიური სფეროს N1 მაღალანაზღაურებად პროფესიას დაეუფლო, Commschool-ში გელოდებით. გამოიყენე ეს შესაძლებლობა და შემოგვიერთდი მონაცემთა ანალიტიკის კურსზე! Artificial Intelligence (AI) is gradually establishing itself in every field, helping people solve simple tasks quickly, allowing them to use their time more effectively. As a result, knowledge of AI tools has become one of the most important and necessary skills in the labor market. AI has also entered the creative field, offering intriguing opportunities in graphic design by reducing the time spent on labor-intensive and routine tasks, thus giving more time for creative thinking. Given these trends, we’ve developed a new course at Commschool—AI in Graphic Design—led by Joni Kvezereli. Check out the blog and discover the prospects for integrating artificial intelligence into graphic design. Joni's career started in film directing—he has always been interested in visual work and observing how art affects people. His first work experience was in an advertising agency, where he learned more about how to consider customer needs and desires and realize ideas. Seeking more independence and creative freedom, Joni began freelancing. This path gave him the opportunity to work on various projects, helping him refine his skills and develop his unique style. Later, Joni’s interest shifted toward graphic design. Since childhood, he has been fascinated by visual art and its creative processes. He was always drawing, creating, and searching for new ways to better express his ideas. Currently, he works at Redberry, while also pursuing his passion for using AI in visual art. AI in Everyday Work Since primitive models for generating visuals first appeared on the market around 2018-2019, the use of AI has become part of Joni’s daily work. As children, we all probably dreamed of abstract tools that would allow us to easily bring our ideas or visual concepts to paper. This childhood dream became a reality when I first generated an image that was 200 by 200 pixels. It was almost impossible to make out what was depicted, but it was clear that, with a bit more refinement, these tools would become far more important than they first appeared. Joni started by using Stable Diffusion and other AI tools that allowed for the automatic generation and modification of visual materials. Initially, it was just an attempt to understand how these technologies could be used in design. Over time, he noticed that AI tools not only simplified the work process but significantly improved results, leaving more time for creative thinking. He successfully applied AI in a particularly interesting Georgian project. Joni created the first AI-generated postage stamp for Georgian Post using Stable Diffusion. The challenge of the project was to synthesize existing visuals to create something new, a task that is difficult even with the tools available on the market. AI in Graphic Design 8 Lectures | 24 Hours | 4 Weeks syllabus Reddit is one of the best places where I read about AI technologies and participate in discussions. From there, I often get important information that helps me understand how others are using AI technologies and how I can apply these approaches in my work process. YouTube, Pinterest, Behance, Reddit—these are the platforms Joni turns to for inspiration. He believes that there are limitless resources around us that we sometimes fail to see. The sources of inspiration are boundless if you search for them properly. It’s important to seek references everywhere—in museums, nature, architecture, and everyday life. Why AI in Graphic Design Has Become Necessary As Joni notes, the need to use AI in graphic design arose for several key reasons:Time and Efficiency: Design processes often require a lot of time and effort, especially for detailed work. AI tools automate these processes, allowing designers to save time and resources and complete tasks more efficiently.Improved Quality: AI enables the creation of visual materials with higher quality. AI technologies ensure the production of precise and detailed works, increasing the professionalism and quality of designers' output.Expanded Creativity: AI tools allow designers to create new and unique visual ideas that might be difficult or labor-intensive using traditional methods, especially during brainstorming when testing every possible option. This enhances designers' creativity and innovation.Inspiration Source: AI can generate a variety of visual content, providing designers with inspiration and ideas for new projects. These technologies help discover new styles and techniques.It’s important to remember that AI is a tool that, without our ideas, is just empty code. Therefore, learning design principles and mastering working methods is essential for choosing the right tools. უნდა გვახსოვდეს, რომ AI არის ხელსაწყო რომელიც ჩვენი იდეების გარეშე უბრალოდ ცარიელი კოდია. ამიტომაც უფრო მეტად მნიშვნელოვანია, რომ ისწავლო დიზაინის პრინციპები, მუშაობის მეთოდები და მათი სწორად შერჩევა. AI Tools in Graphic Design One of the leading tools in the field of generative AI is Stable Diffusion, which has various functions. Stable Diffusion allows for the creation of high-quality and detailed visual images and patterns, offering an unlimited degree of control over the visuals that other AI tools do not provide. It can process both photos and graphic images, standing out for its fast and efficient algorithms that facilitate process automation and optimization. It’s best to start using Stable Diffusion by learning its basic functions and practical examples. To use this tool effectively, you need to understand its interface and capabilities. Since Stable Diffusion is a versatile and flexible tool, you can begin with basic features like image generation, quality enhancement, concept creation, manipulation, and more. AI tools give designers the opportunity to try new techniques and styles, which enhances their professional development and creativity. By simplifying collaborative opportunities, AI facilitates teamwork, leading to more diverse and innovative work. Thus, AI tools not only do not limit but significantly enhance designers’ creativity, raising their work to a higher level. AI tools truly boost designers' creativity. First and foremost, by automating tasks, they save time and resources, allowing designers to dedicate more energy to the creative process. AI technologies also provide sources of inspiration, generating unique ideas and encouraging the discovery of new directions. They make it easier to complete complex and challenging tasks, enabling designers to take on more ambitious projects. AI in Graphic Design - About the Course As mentioned, at Commschool you can discover a new course that will serve as a guide for graphic designers on how to incorporate AI into their work. According to Joni, the course will be highly practical and intensive, helping students acquire the skills to use AI technologies in graphic design. The program includes both theoretical and practical parts, allowing participants to apply the theoretical foundations to real projects. Throughout the course, you will be introduced to the basic theoretical concepts of AI and graphic design. You’ll learn how AI tools work, such as how Stable Diffusion functions and how you can use it in design. You’ll work on real briefs and projects focused on developing various design skills. You will create visual materials such as posters, logos, social media posts, etc. Each project will be based on a real brief, giving you a better understanding of how AI tools function in a practical setting. In my opinion, by the end of the course, participants will have the ability to navigate the AI world independently. They will easily complete repetitive and tedious tasks, leaving more time for learning and developing creative skills. Here are some YouTube channels recommended by Joni, where you can find interesting information about AI and graphic design:Two Minute Papers – A channel that presents the latest research and achievements in AI and technology in a simple and understandable format.The Futur – A channel focused on design, marketing, and creativity, often discussing the use of AI in these fields. If you work in graphic design and want to integrate AI into your work, this course is for you. Be sure to take advantage of this opportunity and join us at Commschool! Join Us
What is Stable Diffusion and How is it Used in Graphic Design?
Stable Diffusion is a deep learning tool created by Stability AI in 2022 that transforms text into photographs. More specifically, it generates a detailed description of an image provided by the user. It can also be used for graphic processing of existing photographs. This tool is accessible to everyone. This program is constantly evolving and its capabilities are improving - the photographs generated based on text are becoming more and more realistic. In this blog, I'll tell you how Stable Diffusion works, what possibilities it offers for designers, and what limitations it has. The Importance of Stable Diffusion Stable Diffusion is public and accessible to anyone. You can easily download and use it on various devices. Thus, it's no longer necessary to use large technological platforms to conduct experiments and create art samples with the help of artificial intelligence. How Does Stable Diffusion Work? Stable Diffusion uses a convolutional autoencoder network with an embedded transformer-based encoding system. Manipulations on photographs are done using Gaussian noise. The generation process looks like this: the encoder takes an image X and encodes it into a latent vector. Then Gaussian noise is added to it, which changes the existing vector. Next, the vector is decoded. The decoder tries to remove the Gaussian noise and restore the original image X. When encoding text, the program transforms the provided text into a latent description, which is then linked together and transformed into the corresponding dimension. As a result, it becomes possible to create a relevant photograph based on the text. In the process of creating samples, the vector feeds the decoder, which removes noise from each of them. This way, the quality of the photograph increases and its resolution becomes 1024×1024. What Capabilities Does Stable Diffusion Have? This program can create new photographs based on the text provided to it. It includes a description of what elements the photograph should consist of. It's also possible to recreate existing photographs and add described elements. This process is called "guided photo synthesis". The program allows you to combine elements of two or more photographs into one photo. Examples of Using Stable Diffusion Due to its versatile capabilities, you'll encounter this program in many fields:Digital Media: It's actively used to create sketches, illustrations, or storyboards. It enables cost reduction in the content creation process. Product Design: Fashion designers use the program to create new prints, silhouettes, or color variations. They describe an imaginary product and create its 3D models. This accelerates the early stages of idea formation. Marketing and Advertising: Marketers use the program to create product photographs, life scenes, and social media posts. AI-generated photos reduce photography costs and provide unlimited content production. Science and Medicine: Researchers provide AI with detailed descriptions of chemical compounds, genomes, molecules, and diseases to visualize data and models. This helps them discover new scientific conclusions. In medicine, it's used to recognize patient diseases and plan treatment stages. AI in Graphic Design: About the New Course As you can see, using AI tools offers versatile possibilities. In the field of design, it allows you to turn ideas that exist in your imagination into reality using unlimited fantasy. To successfully implement AI tools in the creative process, you need to know how to use them effectively. AI in Graphic Design 8 Lecture | 24 Hour| 4 Week Learn More That's why we've developed a new course at Commschool - AI in Graphic Design. Within this program, you'll learn how to befriend AI and use it to create visual effects. You'll master the use of Stable Diffusion for various projects and implement AI in your work, allowing you to improve your design while saving time and energy.Therefore, we're waiting for graphic designers at Commschool for new and interesting adventures! Register for the course and start using AI to achieve better results. Join Us
What is Data-Driven Marketing and Why is it Important?
Data-Driven Marketing allows companies to optimize information about their customers and use it to develop marketing strategies. The marketing industry has undergone massive changes in recent years, resulting in no longer needing to make decisions based on assumptions or gut feelings.Today, marketers seek information from the most reliable source: consumer data. What is Data-Driven Marketing? Data-driven marketing is a marketing strategy based on consumer data and trends, focused on collecting and using information to make and implement marketing decisions.Data-driven marketers can study what consumers buy, how they respond to ads, and how they behave. The goal of data-driven marketing is to take active, quick responsive steps according to their target audience's needs and answer their questions.Then, the data is used to predict future consumer needs, desires, and behaviors, allowing the marketing strategy to ensure maximum return on investment (ROI) based on collected data about the ideal consumer.The data-driven approach has three main advantages: Establishing effective connections with customers;Increasing efficiency;Improving performance. What's the difference between Data-Driven Marketing and Traditional Marketing? Traditional marketing and data-driven marketing have the same goal: to attract the target audience and force them to make a purchase decision. Traditional Marketing Traditional marketing is any marketing activity that is not conducted online. This includes print, broadcast, mail, telephone, and outdoor advertising such as billboards or yard signs. When identifying and developing the right message for the target audience, traditional marketing combines data from focus groups, customer satisfaction surveys, and past sales trends, with first-hand experience and gut instincts rather than data. Data-Driven Marketing Data-driven marketing uses data as the primary source of marketing activities. By analyzing data, marketers can:Determine what type of content will be successful for the internet audience;Determine how effectively their communication reaches a specific target audience.Marketing data can be obtained through various media channels, including web browsers, telephone networks, social media, and smart TVs.Some specific examples of data-driven marketing are:Using demographic data for better ad utilization;Using one marketing channel to inform another (e.g., using PPC campaign results to inform your SEO strategy);Using customer data to increase engagement and revenue (like the ever-popular Spotify Wrapped campaign);Data can also be used to improve search engine optimization (SEO), allowing for better understanding of the target audience.In short, traditional marketing has very high costs and low profit margins and will generate less results than data-driven marketing. Data-driven marketing is not only cheaper with higher profit margins, but it also has a much wider reach than traditional marketing. Most importantly, it helps businesses generate more sales - at a lower cost. See the Data-Driven Marketing Program What are the advantages of Data-driven marketing? What are the advantages of Data-driven marketing? Data-driven marketing is a fantastic tool for marketers and should be incorporated into every marketing strategy to some extent. But, like any other tool or strategy, it has both positives and challenges: It allows you to better define your target audience The main benefit of understanding the target audience is the guarantee that you'll be able to create a message that will resonate directly with them. With data-driven marketing, marketers can get a lot of information about their target audience.CRM (Customer Relationship Management) reviews allow marketers to better understand customer behavior by analyzing customer history data and using this data to improve business relationships with customers. In traditional marketing, marketers have an idea of who their target audience is, but, apart from past trends, there's no real data to establish a better relationship with them. It helps you create relevant content for your audience Collecting data helps marketers deliver the right content to the right audience. If they understand the problem their audience is facing, they can more easily offer solutions to these problems to consumers. By evaluating consumer data, marketers get information about: What type of content (short, long, beginner, advanced) drives consumer interaction;What kind of visuals/creatives (real people, graphics, diagrams, memes) resonate with consumers;What kind of formatting (infographics, lists, case studies, videos, guides, blog posts) affects engagement; It helps deliver a personalized brand experience Data-driven marketing helps an organization retain consumer attention for longer and establish a stronger connection with its audience by creating personalized messages and content for specific target audiences. Consumers often become disappointed with brands that send general messages to their audience, so delivering personal messages is essential for your audience, as this can lead to purchases or conversions. You'll learn which channels work best for your company CRM software such as Semrush, Salesforce, or Hubspot allows data-driven marketing to track the customer journey from the first point of contact to the final sale Using CRM helps you track the actions and behavior of current or potential customers through your website, social media, or email marketing campaigns. It alerts the sales representative if a customer is interested in a product. By collecting this type of data, marketers can determine which channels will work best for their target audience and which channels will take them from initial contact to final purchase. Learn More