Apply now | 1200₾

AI Essentials

  • 5.0 Rate

  • 9 Lecture

  • 22.5 hours

  • 5 Weeks

In today's tech-driven world, AI - especially generative AI - has become a powerful tool to enhance, simplify, and optimize both personal and professional activities.

Generative AI not only streamlines daily processes, but also helps with fast access to information, research, creative idea generation, task automation, and improving communication quality.

This course equips participants with practical knowledge and hands-on experience to leverage AI efficiently in their day-to-day work - saving time, boosting productivity, and helping them keep up with the rapid pace of modern life.

Outcome

Skills Acquired: ChatGPT, Gamma, Midjourney, RunwayML, Lovable.dev, Custom GPTs

  • Use generative AI tools in both personal and professional contexts;

  • Search, analyze, and conduct research using AI tools;

  • Create presentations, research papers, reports, and other written materials efficiently;

  • Generate visual content from text;

  • Work with and organize documents and files;

  • Build simple websites or landing pages using AI;

  • Customize AI models to meet specific needs (Custom GPTs);

  • Create your own Custom GPT.

Feb 27 1100₾

Tue-Thu | 20:00-22:30

Jun 23 1200₾

Mon-Thu | 20:00-22:30

Apply now
Oct 14 1200₾

Tue-Thu | 20:00-22:30

Pre-enrollment
Split your payment
TBC installment
BOG installment

Who is this course for?

For any curious individual

For individuals who want to explore practical applications of generative AI in daily life to increase productivity and stay competitive.

For professionals from all mediums

For people looking to discover and integrate generative AI capabilities into their professional workflows.

Program includes

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.

Graduate feedback

5.0 Rate

Syllabus

What is AI;
AI in everyday life – practical use cases;
Comparing traditional professionals vs AI-augmented professionals;
Intro to ChatGPT and its capabilities.
Techniques & best practices: Role-based prompting, zero-shot, few-shot, Chain-of-thought;
Overview & comparison of GPT, Claude, Gemini, Grok, DeepSeek;
Understanding and managing hallucinations;
Real-world case studies & examples.
Traditional vs Reasoning models;
Working with reasoning models – GPT-4 Family;
Deep research tools (Perplexity & GPT Deep Research);
Conducting research using AI.
Creating and analyzing text-based documents;
Working with Excel files;
Creating presentations with AI (using Gamma);
Case studies.
Creating marketing briefs and strategy with AI;
Text-to-image & image-to-text manipulation (GPT-4o, DALL·E 3);
Reference-based image generation;
Text-to-video & video-to-text tools;
Reference-based video generation.

Pick your suitable time

Lecturers

Archil Sharashenidze

AI Essentials

Archil Sharashenidze

AI Essentials

Archil is a computer engineer and AI enthusiast with hands-on experience in building real-world tech products. His tech journey began at AzRy, one of Georgia’s top tech companies, where he worked on a large-scale money transfer system that processes hundreds of millions of dollars annually. He later gained international experience at the Silicon Valley-based edtech startup GoPeer and at Quantori, a global bioinformatics company. Before launching his own AI agency, Mazeg, Archil spent two years at Körber Supply Chain, a major global logistics company, where he helped develop an AI-powered warehouse automation system using robots. For the past eight months, he has been fully focused on helping companies build custom AI solutions through Mazeg.

Linkedin

FAQs for this course

A: Within the course, anyone will be able to learn how to give proper instructions to artificial intelligence so that it can effectively complete their desired tasks. In today's AI era, it's important to understand its language, and that's exactly what the lecturer teaches using a method that everyone can understand.
A: Within the course, students must provide access to paid versions of artificial intelligence tools - ChatGPT. Monthly subscription of it costs 20$.

Your search Digital Designer did not match any documents

Unable to locate relevant information?

Get Free consultation

You may interest

Beginner
1700₾
Data Analytics
It can be said that today's world stands on data. For most companies, data is their most important asset, but data without analytics is just numbers that cannot bring any added value. The role of a data analyst is precisely to translate large amounts of raw information into insights that push companies to take valuable and significant steps. During the course, we will cover the full cycle of data analysis: formulating a business problem as an analytical problem, finding relevant data, cleaning and processing it using SQL, analyzing and visualizing data using Power BI, communicating the findings, and making decisions based on analytics.
18 Lectures
36 hours
Intermediate
2700₾
Data Engineering
Data Engineering is the foundation on which the modern Data ecosystem stands. At its core, the goal of data engineering is to design and develop systems and infrastructure that automatically collect, store, and analyze data. Primarily, data engineering aims to develop methodologies and tools that ensure maximum process perfection, information sustainability, and reliability. Along with fundamental concepts, students will learn to use key technologies and tools for data engineering such as Apache Airflow, Apache Kafka, temporary and persistent data storage systems (SQL, PostgreSQL, Redis), designing web services for data (FastAPI), and various Python libraries. They will understand how different technologies/tools interact with each other and how theoretical concepts help in perfecting practice.
33 Lectures
66 hours
Intermediate
2700₾
Data Science
Data Science can be defined as a combination of mathematics, business, algorithms, and machine learning techniques that help us find patterns in data and make discoveries that will significantly simplify and make decision-making more effective for organizations.The course will cover all important areas of Data Science. Using Python, the most commonly used programming language for data analysis, we will cover the full cycle of data science - initial data processing, preparation for modeling, building machine and deep learning algorithms, training, application, and turning them into products.Throughout the program, students will work independently on an individual project.
32 Lectures
96 hours
Intermediate
1350₾
[Tech] Recruiting
The demand for tech talent has never been higher, making it increasingly challenging for companies to find and attract the best human resources. In this competitive environment, recruiters need not only a deep understanding of the tech industry but also practical expertise in how to find, onboard, and retain A+ tech professionals. This course is packed with practical work and designed to provide a detailed understanding of current trends, platforms, and qualifications - it's a mini MBA in human resource recruitment for the technology sector. Throughout the course, students will learn the complete 360-degree process of [Tech] recruiting.
14 Lectures
42 hours
Intermediate
1400₾
AI Agents & Automations
Agentic Artificial Intelligence is one of the most in-demand and widely applied technologies today. It is designed to act autonomously and make decisions with minimal human intervention. In other words, it can handle complex tasks such as planning, problem-solving, and communication. AI agents and no-code automation allow us to create systems that think, act, and respond to changing, dynamic environments. By the end of the course, students will be able to plan AI systems tailored to specific needs and automate processes to achieve more impact in less time.
8 Lectures
24 hours
Beginner
1200₾
AI Essentials
In today's tech-driven world, AI - especially generative AI - has become a powerful tool to enhance, simplify, and optimize both personal and professional activities. Generative AI not only streamlines daily processes, but also helps with fast access to information, research, creative idea generation, task automation, and improving communication quality. This course equips participants with practical knowledge and hands-on experience to leverage AI efficiently in their day-to-day work - saving time, boosting productivity, and helping them keep up with the rapid pace of modern life.
9 Lectures
22.5 hours
Beginner
1400₾
AI in Business Development
AI is no longer just a tech trend - it plays an increasingly vital role in today’s business landscape. It helps companies analyze large data volumes, improve decision-making, increase efficiency, cut costs, and develop innovative products or services. In fact, businesses using AI see, on average, 2.5x revenue growth and up to 50% productivity gains. Understanding AI technologies and knowing how to integrate them into business processes is now critical to the success and competitiveness of any organization.Through this program, you'll learn how to select and tailor AI tools to your business's unique needs, simplify workflows, and most importantly - without needing technical expertise - turn your company's data into a strategic asset.
12 Lectures
36 hours
Intermediate
1400₾
AI in Content Creation
Artificial Intelligence (AI) is actively transforming content creation and marketing processes. In today’s fast-changing digital environment, using AI has become not just beneficial, but essential. It significantly reduces the time spent on content creation, expands creative possibilities, and enables better personalization and optimization of content. AI tools simplify both the ideation and execution phases. During the course, participants will learn how to quickly and efficiently create photo and video content using various AI tools. Upon successful completion of the course, the student will receive a bilingual certificate.
12 Lectures
36 hours hours
Intermediate
1700₾
Android Development
In the modern world, no digital product or service is considered complete without a mobile application. Approximately 86% of mobile users worldwide use Android, making it the most popular direction in mobile development.Mobile applications are a type of software, so the initial stage of the course focuses on learning programming languages and approaches. After this, we move on to Android-specific frameworks, tools, and the application creation process.
24 Lectures
72 hours hours
Intermediate
1600₾
Angular
In recent years, Front-End Development has emerged as one of the fastest-growing and most promising industries. The Angular Framework, created by Google in 2016 and still actively improving, has played a significant role in this growth. Using the Angular Framework, you will be able to build TypeScript-Based Responsive Single-Page Applications (SPA). Throughout the course, the main focus will be on deeply learning Angular's core concepts. Considerable time will be devoted to in-depth analysis of TypeScript and RxJS, demonstrating why typing (TS) and the reactive paradigm (RxJS) are valuable.
20 Lectures
60 hours
Beginner
1700₾
Data Analytics
It can be said that today's world stands on data. For most companies, data is their most important asset, but data without analytics is just numbers that cannot bring any added value. The role of a data analyst is precisely to translate large amounts of raw information into insights that push companies to take valuable and significant steps. During the course, we will cover the full cycle of data analysis: formulating a business problem as an analytical problem, finding relevant data, cleaning and processing it using SQL, analyzing and visualizing data using Power BI, communicating the findings, and making decisions based on analytics.
18 Lectures
36 hours
Intermediate
2700₾
Data Engineering
Data Engineering is the foundation on which the modern Data ecosystem stands. At its core, the goal of data engineering is to design and develop systems and infrastructure that automatically collect, store, and analyze data. Primarily, data engineering aims to develop methodologies and tools that ensure maximum process perfection, information sustainability, and reliability. Along with fundamental concepts, students will learn to use key technologies and tools for data engineering such as Apache Airflow, Apache Kafka, temporary and persistent data storage systems (SQL, PostgreSQL, Redis), designing web services for data (FastAPI), and various Python libraries. They will understand how different technologies/tools interact with each other and how theoretical concepts help in perfecting practice.
33 Lectures
66 hours
Intermediate
2700₾
Data Science
Data Science can be defined as a combination of mathematics, business, algorithms, and machine learning techniques that help us find patterns in data and make discoveries that will significantly simplify and make decision-making more effective for organizations.The course will cover all important areas of Data Science. Using Python, the most commonly used programming language for data analysis, we will cover the full cycle of data science - initial data processing, preparation for modeling, building machine and deep learning algorithms, training, application, and turning them into products.Throughout the program, students will work independently on an individual project.
32 Lectures
96 hours
Intermediate
1350₾
[Tech] Recruiting
The demand for tech talent has never been higher, making it increasingly challenging for companies to find and attract the best human resources. In this competitive environment, recruiters need not only a deep understanding of the tech industry but also practical expertise in how to find, onboard, and retain A+ tech professionals. This course is packed with practical work and designed to provide a detailed understanding of current trends, platforms, and qualifications - it's a mini MBA in human resource recruitment for the technology sector. Throughout the course, students will learn the complete 360-degree process of [Tech] recruiting.
14 Lectures
42 hours
Intermediate
1400₾
AI Agents & Automations
Agentic Artificial Intelligence is one of the most in-demand and widely applied technologies today. It is designed to act autonomously and make decisions with minimal human intervention. In other words, it can handle complex tasks such as planning, problem-solving, and communication. AI agents and no-code automation allow us to create systems that think, act, and respond to changing, dynamic environments. By the end of the course, students will be able to plan AI systems tailored to specific needs and automate processes to achieve more impact in less time.
8 Lectures
24 hours
Beginner
1200₾
AI Essentials
In today's tech-driven world, AI - especially generative AI - has become a powerful tool to enhance, simplify, and optimize both personal and professional activities. Generative AI not only streamlines daily processes, but also helps with fast access to information, research, creative idea generation, task automation, and improving communication quality. This course equips participants with practical knowledge and hands-on experience to leverage AI efficiently in their day-to-day work - saving time, boosting productivity, and helping them keep up with the rapid pace of modern life.
9 Lectures
22.5 hours
1/10

Relevant Resources

Show More

5 Reasons Why You Should Learn Data Engineering

 Data engineering is the design and development of systems and infrastructure that automatically collect, store, and analyze large amounts of data. Its goal is to develop methodologies and tools that ensure maximum perfection of processes, stability, and reliability of information. This is achievable through programming.  A data engineer is a software engineer specialized in data technologies. They build systems where any employee of the company can easily access the data they need. Thus, they set up tools that the data team and their company need for success. It is data engineers who create the foundation of the modern data ecosystem.If you know the Python programming language and are attracted to working with data, this profession will interest you. Read the blog and find out the 5 reasons why you should choose data engineering. 1. Data engineering is the backbone of data science Data engineers are the first to receive large amounts of structured and unstructured data that enter the company's systems. Therefore, they are the foundation of the data strategy. It is data engineers who start working with them and ensure their collection, storage, and transformation. The more efficiently they work, the easier it becomes for other team members (data scientists and analysts) to conduct subsequent processes, and vice versa.Consequently, a lot depends on the work of data engineers. This is confirmed by the principle of how companies with well-developed strategies staff their data teams. Usually, in such organizations, we find this ratio: for every data scientist, there are 2-3 data engineers. In companies with more complex data, this number equals 4-5 engineers. Data Engineering 17 Week| 33 Lecture | 99 Hour Learn More Data engineering is full of technical challenges The essence of data engineering is to develop functions that will be large-scale and effective. This helps other team members focus directly on the data and devote time to their analysis, rather than trying to solve programming problems. Moreover, data engineering requires less mathematics than data science. Therefore, if programming is your strength and you prefer it to mathematics, this direction is the ideal option for you. A respected and valuable profession Making life easier for data scientists is not the only result that motivates data engineers. They also have a growing influence on ongoing processes in the world.We create 2.5 quintillion bits of data daily. Due to their scale, the importance of data engineers has never been as great as it is today. Their need will increase even more in the future. According to Business Insider, by 2025 there will be 64 billion IoT devices. For comparison, in 2018 this number was 10 billion. This trend indicates the multiplication of data from more sources. Consequently, the demand for data engineers will increase significantly in the future for their effective processing and storage.  This means that data engineers have a diverse path to discover their areas of interest and deepen relevant skills. Many tools and technologies available today help them in this. For example, popular tools such as Amazon Redshift, Amazon S3, Apache Cassandra, Apache HBase, Apache Kafka, Azure, PostgreSQL, Redis. Of course, it's not necessary to know how to use each tool, but this list shows well how versatile the world of data engineering is. And which technique you use to perform tasks depends on your desire and choice. Since data engineers also possess software engineering skills, they can also create digital products. If you want to participate in startup development or become an entrepreneur and start your own company, learning this profession will definitely be useful. The techniques needed for data engineering will help you both create a digital product and analyze its operation.If working remotely is more comfortable for you, data engineering is a good choice for this. Most tasks don't require being in the office. Due to the high demand for specialists, it's definitely possible to find a remote job or work on short-term private projects. In addition, you can contribute to the development of the data science community. On average, 65% of professional developers post Open Source projects on Stack Overflow once or more per year. So, you too can make changes and develop and refine new techniques for people working in the field. High income  It's true that salary shouldn't be the only decisive factor when looking for a job. However, we can't deny that it still plays a big role in this process. The average income of data engineers will not leave you indifferent - this number is equal to $117,000.This data is not surprising at all. The skills needed for data engineering, such as Python, SQL, are among the highest-paid knowledge. According to LinkedIn, there are many more job postings for data engineer positions (up to 112,500 vacancies) than for data scientists (up to 70,000 vacancies). And the demand is very growing - in 2019 it increased by 88% compared to the previous year. This trend will definitely continue in the future. Learning data engineering is valuable even if you don't plan to continue your career in this profession Even if you don't want to start working in data engineering and are more attracted to the position of data scientist, it will still be beneficial for you to gain knowledge in this regard:As a data specialist, you will often have to perform tasks that correspond to the role of another position, including data engineering;Learning different approaches will help you better understand the issue. Also, you will be able to improve skills that you rarely use in your daily activities;You will become more confident, which will also reflect on your career advancement;Communication with data engineers will be easier for you, which is the key to effective collaboration. As you can see, data engineering is a field full of adventures. It will never lack new and interesting challenges. So, if you want to have one of the most in-demand and highly paid skills in the future, start learning data engineering. Join us at Commschool! Learn More

How to Handle an Interview for a Data Analyst Position? - Lela Gaikharashvili

Data analytics is actively used to make business decisions and draw important findings - which greatly helps companies optimize their operations. Data obtained from various sources can be used to improve services. Extracting valuable information from this data is made possible through data analytics. If you excel in analytical thinking and want to master a new profession, this field will interest you. You'll find a guide in this direction here - Lela Gaikharashvili, a Commschool lecturer, will answer questions of interest to you.  During her university studies, Lela particularly enjoyed the database subject. However, she didn't think then that she would have a data-related career. Her first job was at the quick payment terminal company "Nova Technology", where she worked as an analyst in the software department. It was from this time that Lela fell in love with working with data and realized how important her role was - she helped her colleagues see the company's overall picture. "The path was certainly not easy. When I started working, I only had theoretical knowledge. As soon as I encountered practical tasks, I realized that I had a lot of work to do on myself. I studied a lot, asked numerous questions, and tried to be as involved as possible in everything related to my position and responsibilities."  What helped Lela most at the beginning of her career was curiosity and responsibility. Curiosity helped her constantly search for and learn new topics that would help in her work. Responsibility forced her to approach each task with utmost seriousness and pay maximum attention to the quality of work. These two skills played a big role not only in job performance but also in professional development. Profession - Data Analyst The main task of a data analyst is to collect, analyze, and interpret data so that the organization can make informed decisions. Their daily activities look like this:Data collection and cleaning: Collecting data from data sources and ensuring quality;Data analysis: Analyzing data using statistical methods and analytical techniques;Data visualization: Presenting data graphically in a simple and clear form. According to Lela, there are several reasons why you should become a data analyst: High demand: The demand for data analysts is constantly growing. Companies in all industries are looking for professionals in this direction;Good remuneration: Data analysts often receive high salaries and have the opportunity to develop professionally, which creates a financially profitable career for them;Diverse opportunities: Data analytics skills are needed in almost every sector, including finance, healthcare, technology, marketing, and many other fields. This gives you the opportunity to choose the industry that interests you the most;Sustainable career: Data analytics is a field that is constantly renewable and developing along with technologies. This means that being in this profession will give you the opportunity to constantly learn new technologies and methods; Perception of importance: Data analysts play an important role in companies' success. Their analyses and recommendations help organizations make strategic decisions, which plays an important role in the company's growth and development. Data Analytics Course SQL/Power BI Learn More Tips for a Successful Interview  The career path of a data analyst usually starts with job searching, followed by an interview stage, completing a technical task, and an interview with the immediate supervisor/team leader. For job searching, Lela recommends LinkedIn, where numerous vacancies are posted. In this process, it's very important to establish social connections to receive advice, resources, learn about news from professionals. Also to meet potential employers or mentors. Therefore, Lela advises you to be active on LinkedIn, share your achievements, works, or certificates. Regarding the interview, Lela says that recently, interested candidates are given a task where you have data and need to set up infographics in Power BI. In this regard, it's entirely up to you what information you see in the data and what you focus on. There are also often standard simple questions related to SQL. For example, Join, Primary Key, Foreign Key, Functions, Group By, Order By, and others. "Be confident, but not proud. Show empathy and a friendly attitude. Honesty is also important. If you don't know something, say that you don't know, but you're ready to learn. Show enthusiasm and interest in the position and the company."  From a professional point of view, taking additional courses (Coursera, Udemy) will be very helpful. Get certificates that match your professional goals, which you'll add to your profile on LinkedIn. About the Data Analytics Course  Now I'll introduce you to Commschool's data analytics course, which Lela will lead. It's designed for those who want to understand and use Power BI and SQL for data analysis. The program includes theoretical and practical aspects, which will help students develop skills applicable in the real world. After completing the course, you'll be able to correctly analyze a business task and translate it into an analytical/technical task, independently collect, clean, and process data using SQL, then make effective visualization and analytics necessary for business goals using Power BI. "My goal is to review cases based on real experience, which shows students the practical use of SQL and Power BI. This includes real business scenarios and datasets that will be used for analysis and visualization." As Lela notes, program graduates will be ready to start working at a beginner/middle level. However, self-development is always necessary regardless of position. Therefore, her advice for future students will be that if a particular topic is a weak point for someone, they should devote more time to it in the future.  კურსი ეფექტური საშუალებაა, მოკლე დროში სიღრმისეულად შეისწავლო მონაცემთა ანალიტიკა და ანალიზისთვის დაჭირო ინსტუმენტები. თეონა პატარაიძეData Analyst at Dressup Group სასწავლო გარემო და პროცესი იყო ძალიან შემოქმედებითი და საინტერესო. იმის მიუხედავად რომ გარკვეულ დონეზე ვიცოდი როგორც SQL ისე Power BI, ბევრი საინტერესო დეტალი შევისწავლე და პრაქტიკული ამოცანებით არსებული ცოდნა უფრო მეტად დავხვეწე. დავით მაღალდაძეData Analyst at BlueTabla ყველაზე საინტერესო იყო რეალობასთან მაქსიმალურად მიახლოებული ქეისების გარჩევა, კომპანიების წინაშე არსებული პრობლემების გადაჭრის გზების ძიება და მათი პრაქტიკაში გამოყენება. მიხეილ ბობოხიძეBrand Manager at Transporter Previous Next So, if you're ready to master the #1 high-paying profession in the technology field, we're waiting for you at Commschool. Take advantage of this opportunity and join us for the data analytics course!   Join Us

From IT Project Management Course to Professional Scrum Master I Certificate - Nino Kvinikadze

With technological development, the demand for IT professionals is increasing. The competence of an IT project manager includes considering the interests of stakeholders in such a way that all parties are satisfied and the final IT product is acceptable to everyone. According to a PMI survey, IT Project Management is the #1 profession with the fastest-growing demand at 33%. In Georgia, the average monthly salary for IT project managers is 5000 GEL. If you want to master one of the most in-demand professions, you've come to the right place, because in this blog I'll tell you about IT PM course graduate – Nino Kvinikadze, who will share her journey from 0 to PSM I (Professional Scrum Master I) certificate. When starting the course, the IT field was a completely new challenge for Nino. After deciding to change her profession, with the help of Commschool's course and lecturer, she was able to successfully complete the final project, which is an integral part of Commschool's courses. "Until now, I had no knowledge or experience in this direction. I started learning from scratch, but by the end of the course, I wrote a project that seemed impossible to me at the beginning of the course." If you don't know, I'll tell you that Commschool's IT Project Management course covers methodologies currently used in IT project management. The emphasis is on Agile project management according to the Scrum Framework, which is used by leading companies in the Georgian and world markets. Course Details 13 Sessions | 7 Weeks | 39 Hours Apply Since Commschool's courses include practice-based learning, it's easy for any beginner to grasp and understand a new profession. According to Nino, it was precisely the practical assignments that allowed her to work independently on the final project, which gave her the desire and motivation to develop herself in this direction. "I want to continue working and developing in this direction in the future, which is why I passed the Professional Scrum Master I exam, for which the course and specifically the lecturer deserve great credit." The PSM I (Professional Scrum Master I) certificate is a significant step in the IT PM field, especially when you're taking your first steps in the IT field.PSM I is recognized by the industry as a certificate that demonstrates a fundamental level of Scrum knowledge. As a PSM I certificate holder, you prove that you understand the Scrum Framework at both theoretical and practical levels – that is, how it is used in Scrum Teams. PSM I holders have consistent terminology and approach to Scrum.So, if you're interested in the IT Project Management field and want to master this profession from 0 in a short time, start learning from June 3rd! Apply for IT Project Management Course

5 Reasons Why You Should Learn Data Engineering

 Data engineering is the design and development of systems and infrastructure that automatically collect, store, and analyze large amounts of data. Its goal is to develop methodologies and tools that ensure maximum perfection of processes, stability, and reliability of information. This is achievable through programming.  A data engineer is a software engineer specialized in data technologies. They build systems where any employee of the company can easily access the data they need. Thus, they set up tools that the data team and their company need for success. It is data engineers who create the foundation of the modern data ecosystem.If you know the Python programming language and are attracted to working with data, this profession will interest you. Read the blog and find out the 5 reasons why you should choose data engineering. 1. Data engineering is the backbone of data science Data engineers are the first to receive large amounts of structured and unstructured data that enter the company's systems. Therefore, they are the foundation of the data strategy. It is data engineers who start working with them and ensure their collection, storage, and transformation. The more efficiently they work, the easier it becomes for other team members (data scientists and analysts) to conduct subsequent processes, and vice versa.Consequently, a lot depends on the work of data engineers. This is confirmed by the principle of how companies with well-developed strategies staff their data teams. Usually, in such organizations, we find this ratio: for every data scientist, there are 2-3 data engineers. In companies with more complex data, this number equals 4-5 engineers. Data Engineering 17 Week| 33 Lecture | 99 Hour Learn More Data engineering is full of technical challenges The essence of data engineering is to develop functions that will be large-scale and effective. This helps other team members focus directly on the data and devote time to their analysis, rather than trying to solve programming problems. Moreover, data engineering requires less mathematics than data science. Therefore, if programming is your strength and you prefer it to mathematics, this direction is the ideal option for you. A respected and valuable profession Making life easier for data scientists is not the only result that motivates data engineers. They also have a growing influence on ongoing processes in the world.We create 2.5 quintillion bits of data daily. Due to their scale, the importance of data engineers has never been as great as it is today. Their need will increase even more in the future. According to Business Insider, by 2025 there will be 64 billion IoT devices. For comparison, in 2018 this number was 10 billion. This trend indicates the multiplication of data from more sources. Consequently, the demand for data engineers will increase significantly in the future for their effective processing and storage.  This means that data engineers have a diverse path to discover their areas of interest and deepen relevant skills. Many tools and technologies available today help them in this. For example, popular tools such as Amazon Redshift, Amazon S3, Apache Cassandra, Apache HBase, Apache Kafka, Azure, PostgreSQL, Redis. Of course, it's not necessary to know how to use each tool, but this list shows well how versatile the world of data engineering is. And which technique you use to perform tasks depends on your desire and choice. Since data engineers also possess software engineering skills, they can also create digital products. If you want to participate in startup development or become an entrepreneur and start your own company, learning this profession will definitely be useful. The techniques needed for data engineering will help you both create a digital product and analyze its operation.If working remotely is more comfortable for you, data engineering is a good choice for this. Most tasks don't require being in the office. Due to the high demand for specialists, it's definitely possible to find a remote job or work on short-term private projects. In addition, you can contribute to the development of the data science community. On average, 65% of professional developers post Open Source projects on Stack Overflow once or more per year. So, you too can make changes and develop and refine new techniques for people working in the field. High income  It's true that salary shouldn't be the only decisive factor when looking for a job. However, we can't deny that it still plays a big role in this process. The average income of data engineers will not leave you indifferent - this number is equal to $117,000.This data is not surprising at all. The skills needed for data engineering, such as Python, SQL, are among the highest-paid knowledge. According to LinkedIn, there are many more job postings for data engineer positions (up to 112,500 vacancies) than for data scientists (up to 70,000 vacancies). And the demand is very growing - in 2019 it increased by 88% compared to the previous year. This trend will definitely continue in the future. Learning data engineering is valuable even if you don't plan to continue your career in this profession Even if you don't want to start working in data engineering and are more attracted to the position of data scientist, it will still be beneficial for you to gain knowledge in this regard:As a data specialist, you will often have to perform tasks that correspond to the role of another position, including data engineering;Learning different approaches will help you better understand the issue. Also, you will be able to improve skills that you rarely use in your daily activities;You will become more confident, which will also reflect on your career advancement;Communication with data engineers will be easier for you, which is the key to effective collaboration. As you can see, data engineering is a field full of adventures. It will never lack new and interesting challenges. So, if you want to have one of the most in-demand and highly paid skills in the future, start learning data engineering. Join us at Commschool! Learn More

How to Handle an Interview for a Data Analyst Position? - Lela Gaikharashvili

Data analytics is actively used to make business decisions and draw important findings - which greatly helps companies optimize their operations. Data obtained from various sources can be used to improve services. Extracting valuable information from this data is made possible through data analytics. If you excel in analytical thinking and want to master a new profession, this field will interest you. You'll find a guide in this direction here - Lela Gaikharashvili, a Commschool lecturer, will answer questions of interest to you.  During her university studies, Lela particularly enjoyed the database subject. However, she didn't think then that she would have a data-related career. Her first job was at the quick payment terminal company "Nova Technology", where she worked as an analyst in the software department. It was from this time that Lela fell in love with working with data and realized how important her role was - she helped her colleagues see the company's overall picture. "The path was certainly not easy. When I started working, I only had theoretical knowledge. As soon as I encountered practical tasks, I realized that I had a lot of work to do on myself. I studied a lot, asked numerous questions, and tried to be as involved as possible in everything related to my position and responsibilities."  What helped Lela most at the beginning of her career was curiosity and responsibility. Curiosity helped her constantly search for and learn new topics that would help in her work. Responsibility forced her to approach each task with utmost seriousness and pay maximum attention to the quality of work. These two skills played a big role not only in job performance but also in professional development. Profession - Data Analyst The main task of a data analyst is to collect, analyze, and interpret data so that the organization can make informed decisions. Their daily activities look like this:Data collection and cleaning: Collecting data from data sources and ensuring quality;Data analysis: Analyzing data using statistical methods and analytical techniques;Data visualization: Presenting data graphically in a simple and clear form. According to Lela, there are several reasons why you should become a data analyst: High demand: The demand for data analysts is constantly growing. Companies in all industries are looking for professionals in this direction;Good remuneration: Data analysts often receive high salaries and have the opportunity to develop professionally, which creates a financially profitable career for them;Diverse opportunities: Data analytics skills are needed in almost every sector, including finance, healthcare, technology, marketing, and many other fields. This gives you the opportunity to choose the industry that interests you the most;Sustainable career: Data analytics is a field that is constantly renewable and developing along with technologies. This means that being in this profession will give you the opportunity to constantly learn new technologies and methods; Perception of importance: Data analysts play an important role in companies' success. Their analyses and recommendations help organizations make strategic decisions, which plays an important role in the company's growth and development. Data Analytics Course SQL/Power BI Learn More Tips for a Successful Interview  The career path of a data analyst usually starts with job searching, followed by an interview stage, completing a technical task, and an interview with the immediate supervisor/team leader. For job searching, Lela recommends LinkedIn, where numerous vacancies are posted. In this process, it's very important to establish social connections to receive advice, resources, learn about news from professionals. Also to meet potential employers or mentors. Therefore, Lela advises you to be active on LinkedIn, share your achievements, works, or certificates. Regarding the interview, Lela says that recently, interested candidates are given a task where you have data and need to set up infographics in Power BI. In this regard, it's entirely up to you what information you see in the data and what you focus on. There are also often standard simple questions related to SQL. For example, Join, Primary Key, Foreign Key, Functions, Group By, Order By, and others. "Be confident, but not proud. Show empathy and a friendly attitude. Honesty is also important. If you don't know something, say that you don't know, but you're ready to learn. Show enthusiasm and interest in the position and the company."  From a professional point of view, taking additional courses (Coursera, Udemy) will be very helpful. Get certificates that match your professional goals, which you'll add to your profile on LinkedIn. About the Data Analytics Course  Now I'll introduce you to Commschool's data analytics course, which Lela will lead. It's designed for those who want to understand and use Power BI and SQL for data analysis. The program includes theoretical and practical aspects, which will help students develop skills applicable in the real world. After completing the course, you'll be able to correctly analyze a business task and translate it into an analytical/technical task, independently collect, clean, and process data using SQL, then make effective visualization and analytics necessary for business goals using Power BI. "My goal is to review cases based on real experience, which shows students the practical use of SQL and Power BI. This includes real business scenarios and datasets that will be used for analysis and visualization." As Lela notes, program graduates will be ready to start working at a beginner/middle level. However, self-development is always necessary regardless of position. Therefore, her advice for future students will be that if a particular topic is a weak point for someone, they should devote more time to it in the future.  კურსი ეფექტური საშუალებაა, მოკლე დროში სიღრმისეულად შეისწავლო მონაცემთა ანალიტიკა და ანალიზისთვის დაჭირო ინსტუმენტები. თეონა პატარაიძეData Analyst at Dressup Group სასწავლო გარემო და პროცესი იყო ძალიან შემოქმედებითი და საინტერესო. იმის მიუხედავად რომ გარკვეულ დონეზე ვიცოდი როგორც SQL ისე Power BI, ბევრი საინტერესო დეტალი შევისწავლე და პრაქტიკული ამოცანებით არსებული ცოდნა უფრო მეტად დავხვეწე. დავით მაღალდაძეData Analyst at BlueTabla ყველაზე საინტერესო იყო რეალობასთან მაქსიმალურად მიახლოებული ქეისების გარჩევა, კომპანიების წინაშე არსებული პრობლემების გადაჭრის გზების ძიება და მათი პრაქტიკაში გამოყენება. მიხეილ ბობოხიძეBrand Manager at Transporter Previous Next So, if you're ready to master the #1 high-paying profession in the technology field, we're waiting for you at Commschool. Take advantage of this opportunity and join us for the data analytics course!   Join Us

From IT Project Management Course to Professional Scrum Master I Certificate - Nino Kvinikadze

With technological development, the demand for IT professionals is increasing. The competence of an IT project manager includes considering the interests of stakeholders in such a way that all parties are satisfied and the final IT product is acceptable to everyone. According to a PMI survey, IT Project Management is the #1 profession with the fastest-growing demand at 33%. In Georgia, the average monthly salary for IT project managers is 5000 GEL. If you want to master one of the most in-demand professions, you've come to the right place, because in this blog I'll tell you about IT PM course graduate – Nino Kvinikadze, who will share her journey from 0 to PSM I (Professional Scrum Master I) certificate. When starting the course, the IT field was a completely new challenge for Nino. After deciding to change her profession, with the help of Commschool's course and lecturer, she was able to successfully complete the final project, which is an integral part of Commschool's courses. "Until now, I had no knowledge or experience in this direction. I started learning from scratch, but by the end of the course, I wrote a project that seemed impossible to me at the beginning of the course." If you don't know, I'll tell you that Commschool's IT Project Management course covers methodologies currently used in IT project management. The emphasis is on Agile project management according to the Scrum Framework, which is used by leading companies in the Georgian and world markets. Course Details 13 Sessions | 7 Weeks | 39 Hours Apply Since Commschool's courses include practice-based learning, it's easy for any beginner to grasp and understand a new profession. According to Nino, it was precisely the practical assignments that allowed her to work independently on the final project, which gave her the desire and motivation to develop herself in this direction. "I want to continue working and developing in this direction in the future, which is why I passed the Professional Scrum Master I exam, for which the course and specifically the lecturer deserve great credit." The PSM I (Professional Scrum Master I) certificate is a significant step in the IT PM field, especially when you're taking your first steps in the IT field.PSM I is recognized by the industry as a certificate that demonstrates a fundamental level of Scrum knowledge. As a PSM I certificate holder, you prove that you understand the Scrum Framework at both theoretical and practical levels – that is, how it is used in Scrum Teams. PSM I holders have consistent terminology and approach to Scrum.So, if you're interested in the IT Project Management field and want to master this profession from 0 in a short time, start learning from June 3rd! Apply for IT Project Management Course

5 Reasons Why You Should Learn Data Engineering

 Data engineering is the design and development of systems and infrastructure that automatically collect, store, and analyze large amounts of data. Its goal is to develop methodologies and tools that ensure maximum perfection of processes, stability, and reliability of information. This is achievable through programming.  A data engineer is a software engineer specialized in data technologies. They build systems where any employee of the company can easily access the data they need. Thus, they set up tools that the data team and their company need for success. It is data engineers who create the foundation of the modern data ecosystem.If you know the Python programming language and are attracted to working with data, this profession will interest you. Read the blog and find out the 5 reasons why you should choose data engineering. 1. Data engineering is the backbone of data science Data engineers are the first to receive large amounts of structured and unstructured data that enter the company's systems. Therefore, they are the foundation of the data strategy. It is data engineers who start working with them and ensure their collection, storage, and transformation. The more efficiently they work, the easier it becomes for other team members (data scientists and analysts) to conduct subsequent processes, and vice versa.Consequently, a lot depends on the work of data engineers. This is confirmed by the principle of how companies with well-developed strategies staff their data teams. Usually, in such organizations, we find this ratio: for every data scientist, there are 2-3 data engineers. In companies with more complex data, this number equals 4-5 engineers. Data Engineering 17 Week| 33 Lecture | 99 Hour Learn More Data engineering is full of technical challenges The essence of data engineering is to develop functions that will be large-scale and effective. This helps other team members focus directly on the data and devote time to their analysis, rather than trying to solve programming problems. Moreover, data engineering requires less mathematics than data science. Therefore, if programming is your strength and you prefer it to mathematics, this direction is the ideal option for you. A respected and valuable profession Making life easier for data scientists is not the only result that motivates data engineers. They also have a growing influence on ongoing processes in the world.We create 2.5 quintillion bits of data daily. Due to their scale, the importance of data engineers has never been as great as it is today. Their need will increase even more in the future. According to Business Insider, by 2025 there will be 64 billion IoT devices. For comparison, in 2018 this number was 10 billion. This trend indicates the multiplication of data from more sources. Consequently, the demand for data engineers will increase significantly in the future for their effective processing and storage.  This means that data engineers have a diverse path to discover their areas of interest and deepen relevant skills. Many tools and technologies available today help them in this. For example, popular tools such as Amazon Redshift, Amazon S3, Apache Cassandra, Apache HBase, Apache Kafka, Azure, PostgreSQL, Redis. Of course, it's not necessary to know how to use each tool, but this list shows well how versatile the world of data engineering is. And which technique you use to perform tasks depends on your desire and choice. Since data engineers also possess software engineering skills, they can also create digital products. If you want to participate in startup development or become an entrepreneur and start your own company, learning this profession will definitely be useful. The techniques needed for data engineering will help you both create a digital product and analyze its operation.If working remotely is more comfortable for you, data engineering is a good choice for this. Most tasks don't require being in the office. Due to the high demand for specialists, it's definitely possible to find a remote job or work on short-term private projects. In addition, you can contribute to the development of the data science community. On average, 65% of professional developers post Open Source projects on Stack Overflow once or more per year. So, you too can make changes and develop and refine new techniques for people working in the field. High income  It's true that salary shouldn't be the only decisive factor when looking for a job. However, we can't deny that it still plays a big role in this process. The average income of data engineers will not leave you indifferent - this number is equal to $117,000.This data is not surprising at all. The skills needed for data engineering, such as Python, SQL, are among the highest-paid knowledge. According to LinkedIn, there are many more job postings for data engineer positions (up to 112,500 vacancies) than for data scientists (up to 70,000 vacancies). And the demand is very growing - in 2019 it increased by 88% compared to the previous year. This trend will definitely continue in the future. Learning data engineering is valuable even if you don't plan to continue your career in this profession Even if you don't want to start working in data engineering and are more attracted to the position of data scientist, it will still be beneficial for you to gain knowledge in this regard:As a data specialist, you will often have to perform tasks that correspond to the role of another position, including data engineering;Learning different approaches will help you better understand the issue. Also, you will be able to improve skills that you rarely use in your daily activities;You will become more confident, which will also reflect on your career advancement;Communication with data engineers will be easier for you, which is the key to effective collaboration. As you can see, data engineering is a field full of adventures. It will never lack new and interesting challenges. So, if you want to have one of the most in-demand and highly paid skills in the future, start learning data engineering. Join us at Commschool! Learn More

How to Handle an Interview for a Data Analyst Position? - Lela Gaikharashvili

Data analytics is actively used to make business decisions and draw important findings - which greatly helps companies optimize their operations. Data obtained from various sources can be used to improve services. Extracting valuable information from this data is made possible through data analytics. If you excel in analytical thinking and want to master a new profession, this field will interest you. You'll find a guide in this direction here - Lela Gaikharashvili, a Commschool lecturer, will answer questions of interest to you.  During her university studies, Lela particularly enjoyed the database subject. However, she didn't think then that she would have a data-related career. Her first job was at the quick payment terminal company "Nova Technology", where she worked as an analyst in the software department. It was from this time that Lela fell in love with working with data and realized how important her role was - she helped her colleagues see the company's overall picture. "The path was certainly not easy. When I started working, I only had theoretical knowledge. As soon as I encountered practical tasks, I realized that I had a lot of work to do on myself. I studied a lot, asked numerous questions, and tried to be as involved as possible in everything related to my position and responsibilities."  What helped Lela most at the beginning of her career was curiosity and responsibility. Curiosity helped her constantly search for and learn new topics that would help in her work. Responsibility forced her to approach each task with utmost seriousness and pay maximum attention to the quality of work. These two skills played a big role not only in job performance but also in professional development. Profession - Data Analyst The main task of a data analyst is to collect, analyze, and interpret data so that the organization can make informed decisions. Their daily activities look like this:Data collection and cleaning: Collecting data from data sources and ensuring quality;Data analysis: Analyzing data using statistical methods and analytical techniques;Data visualization: Presenting data graphically in a simple and clear form. According to Lela, there are several reasons why you should become a data analyst: High demand: The demand for data analysts is constantly growing. Companies in all industries are looking for professionals in this direction;Good remuneration: Data analysts often receive high salaries and have the opportunity to develop professionally, which creates a financially profitable career for them;Diverse opportunities: Data analytics skills are needed in almost every sector, including finance, healthcare, technology, marketing, and many other fields. This gives you the opportunity to choose the industry that interests you the most;Sustainable career: Data analytics is a field that is constantly renewable and developing along with technologies. This means that being in this profession will give you the opportunity to constantly learn new technologies and methods; Perception of importance: Data analysts play an important role in companies' success. Their analyses and recommendations help organizations make strategic decisions, which plays an important role in the company's growth and development. Data Analytics Course SQL/Power BI Learn More Tips for a Successful Interview  The career path of a data analyst usually starts with job searching, followed by an interview stage, completing a technical task, and an interview with the immediate supervisor/team leader. For job searching, Lela recommends LinkedIn, where numerous vacancies are posted. In this process, it's very important to establish social connections to receive advice, resources, learn about news from professionals. Also to meet potential employers or mentors. Therefore, Lela advises you to be active on LinkedIn, share your achievements, works, or certificates. Regarding the interview, Lela says that recently, interested candidates are given a task where you have data and need to set up infographics in Power BI. In this regard, it's entirely up to you what information you see in the data and what you focus on. There are also often standard simple questions related to SQL. For example, Join, Primary Key, Foreign Key, Functions, Group By, Order By, and others. "Be confident, but not proud. Show empathy and a friendly attitude. Honesty is also important. If you don't know something, say that you don't know, but you're ready to learn. Show enthusiasm and interest in the position and the company."  From a professional point of view, taking additional courses (Coursera, Udemy) will be very helpful. Get certificates that match your professional goals, which you'll add to your profile on LinkedIn. About the Data Analytics Course  Now I'll introduce you to Commschool's data analytics course, which Lela will lead. It's designed for those who want to understand and use Power BI and SQL for data analysis. The program includes theoretical and practical aspects, which will help students develop skills applicable in the real world. After completing the course, you'll be able to correctly analyze a business task and translate it into an analytical/technical task, independently collect, clean, and process data using SQL, then make effective visualization and analytics necessary for business goals using Power BI. "My goal is to review cases based on real experience, which shows students the practical use of SQL and Power BI. This includes real business scenarios and datasets that will be used for analysis and visualization." As Lela notes, program graduates will be ready to start working at a beginner/middle level. However, self-development is always necessary regardless of position. Therefore, her advice for future students will be that if a particular topic is a weak point for someone, they should devote more time to it in the future.  კურსი ეფექტური საშუალებაა, მოკლე დროში სიღრმისეულად შეისწავლო მონაცემთა ანალიტიკა და ანალიზისთვის დაჭირო ინსტუმენტები. თეონა პატარაიძეData Analyst at Dressup Group სასწავლო გარემო და პროცესი იყო ძალიან შემოქმედებითი და საინტერესო. იმის მიუხედავად რომ გარკვეულ დონეზე ვიცოდი როგორც SQL ისე Power BI, ბევრი საინტერესო დეტალი შევისწავლე და პრაქტიკული ამოცანებით არსებული ცოდნა უფრო მეტად დავხვეწე. დავით მაღალდაძეData Analyst at BlueTabla ყველაზე საინტერესო იყო რეალობასთან მაქსიმალურად მიახლოებული ქეისების გარჩევა, კომპანიების წინაშე არსებული პრობლემების გადაჭრის გზების ძიება და მათი პრაქტიკაში გამოყენება. მიხეილ ბობოხიძეBrand Manager at Transporter Previous Next So, if you're ready to master the #1 high-paying profession in the technology field, we're waiting for you at Commschool. Take advantage of this opportunity and join us for the data analytics course!   Join Us

From IT Project Management Course to Professional Scrum Master I Certificate - Nino Kvinikadze

With technological development, the demand for IT professionals is increasing. The competence of an IT project manager includes considering the interests of stakeholders in such a way that all parties are satisfied and the final IT product is acceptable to everyone. According to a PMI survey, IT Project Management is the #1 profession with the fastest-growing demand at 33%. In Georgia, the average monthly salary for IT project managers is 5000 GEL. If you want to master one of the most in-demand professions, you've come to the right place, because in this blog I'll tell you about IT PM course graduate – Nino Kvinikadze, who will share her journey from 0 to PSM I (Professional Scrum Master I) certificate. When starting the course, the IT field was a completely new challenge for Nino. After deciding to change her profession, with the help of Commschool's course and lecturer, she was able to successfully complete the final project, which is an integral part of Commschool's courses. "Until now, I had no knowledge or experience in this direction. I started learning from scratch, but by the end of the course, I wrote a project that seemed impossible to me at the beginning of the course." If you don't know, I'll tell you that Commschool's IT Project Management course covers methodologies currently used in IT project management. The emphasis is on Agile project management according to the Scrum Framework, which is used by leading companies in the Georgian and world markets. Course Details 13 Sessions | 7 Weeks | 39 Hours Apply Since Commschool's courses include practice-based learning, it's easy for any beginner to grasp and understand a new profession. According to Nino, it was precisely the practical assignments that allowed her to work independently on the final project, which gave her the desire and motivation to develop herself in this direction. "I want to continue working and developing in this direction in the future, which is why I passed the Professional Scrum Master I exam, for which the course and specifically the lecturer deserve great credit." The PSM I (Professional Scrum Master I) certificate is a significant step in the IT PM field, especially when you're taking your first steps in the IT field.PSM I is recognized by the industry as a certificate that demonstrates a fundamental level of Scrum knowledge. As a PSM I certificate holder, you prove that you understand the Scrum Framework at both theoretical and practical levels – that is, how it is used in Scrum Teams. PSM I holders have consistent terminology and approach to Scrum.So, if you're interested in the IT Project Management field and want to master this profession from 0 in a short time, start learning from June 3rd! Apply for IT Project Management Course

1/3