Live-onlineAI Agents & Automations
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10.0 Rate
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8 Lecture
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16 hours
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4 Weeks
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.
Outcome
Skills Acquired: n8n, ChatGPT, Prompt Engineering, API Basics, JSON RAG
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Understand how AI agents work and when to use them vs simple automations;
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Evaluate problems and determine if agent-based automation is the right fit;
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Build no-code workflows in n8n that automate real business processes (email handling, lead processing, content routing);
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Connect AI models (ChatGPT) to workflows and control their behavior through effective prompting;
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Integrate n8n with everyday business tools like Google Sheets, Gmail, Telegram, social media platforms;
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Design AI agents that can reason, use tools, and make decisions autonomously;
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Debug and troubleshoot workflows and agents when things go wrong;
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Evaluate whether a problem is better solved with a linear workflow or an AI agent;
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Equip an agent with memory and knowledge base;
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Deploy and maintain reliable automations with error handling, scheduling, and monitoring.
Mon-Thu | 19:30-21:30
TBC installment
BOG installment
Who is this course for?
For those who’ve outgrown basic generative AI
Anyone who actively works with generative AI and is looking to explore more advanced capabilities.
Tech-oriented Professionals
Tech team leads, product managers, business analysts, and professionals in tech fields who want to move from basic generative AI to agentic systems and modernize their workflows with deeper technical understanding.
Small and medium business owners
Those already using generative AI and seeking more efficient ways to automate business processes.
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
Jaba Kuridze
First of all, I’ll start by saying that I was very impressed with the organization, attentiveness, and quality of service at Commschool. I believe this directly impacts the learning process, and when you’re informed step-by-step from the beginning, the challenges related to learning become much less problematic. As for the course itself, I would highlight two main factors: 1. The lecturer’s professionalism, friendliness, and enthusiasm for the subject. 2. The curriculum was designed not only around technical aspects and features but also provided a meaningful, in-depth explanation of the essence of AI Agents and automation—things that are completely invisible to an outside perspective. In my opinion, this significantly simplifies the path to learning and development. Ultimately, with the help of this course, I achieved and can do much more than I could have imagined when I registered for it.
Natia Liparteliani
I really liked the course. The lecturer was competent, always accessible, and clearly enjoyed helping solve problems. The course structure was clear and well-organized, built on real-world examples. I decided to take this course because I am the Strategy Director at an American creative agency, The Big Possible, working asynchronously and interacting daily with numerous freelancers, clients, and creators across different time zones. Therefore, I really needed to better automate processes. This course helped me a lot with that. I now use n8n daily and have set up several workflows. In short, I recommend it to everyone.
Salome Mindiashvili
The **AI Agents and Automation** course is an exceptionally high-quality introduction for small business founders, marketers, and anyone interested in building automation or AI agents. Commschool always stands out for its special attention to students, but in this case, the lecturer’s communication, expertise, and passion for the subject make this course particularly engaging and desirable. Nika was able to break down complex technical concepts into simple, digestible parts, explaining them thoroughly with both theoretical and practical examples. The exploration and implementation of vector databases, RAG, and semantic search principles were especially interesting. Special mention must go to Mariam, who actively participated in the course process, sought our recommendations, and quickly shared them with the lecturer, which was noticeably reflected in the subsequent lectures. In short, this is clearly a top-tier course, and I’d give it a 100/100!
Syllabus
Pick your suitable time
Lecturers
George Kiknadze
AI Agents & Automations
George Kiknadze
AI Agents & Automations
Software engineer with 12+ years of experience building hyper-scale production systems across fintech, blockchain, and enterprise software. Currently CTO at Stealth Startup, where he architects real-time sub-second latency infrastructure by orchestrating AI agents. Previously worked at MetaMask (Consensys) building N1 institutional crypto wallet serving hundreds of millions of users, as well as senior engineering roles at Genesis Mining, Allianz, and many more. George specializes in AI agent orchestration and autonomous coding workflows using AI agents not just as tools, but as core team members that build, test, and ship complex software systems. He brings a practical, engineering-first perspective to AI automation.
Linkedin
Nika Sakandelidze
AI Agents & Automations
Nika Sakandelidze
AI Agents & Automations
Nika has years of experience in the tech field. He is a graduate of the MACS Engineering Faculty and has worked with both local and international companies such as Quantori, Syniotec, Nsure.ai, and others. Currently, he is fully focused on developing his AI company, Mazeg, and integrating AI into business processes across various industries.
Linkedin
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