Apply now | 950₾

AI in Practice

  • 4.5 Rate

  • 6 Lecture

  • 18 hours

  • 3 Weeks

Artificial Intelligence has become an integral part of the modern manager's role. Therefore, the better we understand what language to use and how to communicate with artificial intelligence, the easier it becomes to integrate it into our daily lives. Most importantly, artificial intelligence enables efficient time use and helps avoid routine tasks.

Throughout the lectures, we will study how to use popular AI systems such as ChatGPT, Claude.ai, and Gemini. Working on practical assignments and the final project will help us gain in-depth knowledge about using AI tools and 'taming' them to our needs.

Outcome

Skills Acquired: AI tools, ChatGPT, Claude.ai, Gemini.

  • Effectively use the capabilities of AI systems in both personal life and work environment.

  • Properly communicate with artificial intelligence systems, create effective prompts that will maximize the quality of completed tasks.

  • Process multilingual and multimodal information with the help of AI.

  • Detect and minimize potential hallucinations to obtain reliable and factually correct results.

  • Work with documents of various formats (PDF, DOC, PPT), spreadsheets and images, process information, format and analyze using AI tools.

  • Adapt AI systems to solve specific, industry-specific tasks for you.

Nov 13 950₾

Tue-Thur 20:00-23:00

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Who is this course for?

For any curious individual

For any curious person interested in using AI in everyday life to increase productivity and competitiveness.

Managers

For managers and leaders who want to gain an in-depth understanding of AI's potential and capabilities and use it to optimize their own business processes. Also, for those who want to increase the efficiency and productivity of their activities using modern AI systems, regardless of their technical knowledge and experience.

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.

Syllabus

Introduction to Generative AI, what are the large language models (LLMs), and what are they capable and incapable of
How do LLMs work?
Use cases of LLMs in personal life, at work, and in business
Multilingualism: work with different languages
Multimodality: how to work with different sources of information (spreadsheets, textual files, images)
Most popular LLM systems: ChatGPT by OpenAI, Claude.ai by Anthropic, and Gemini by Google
Task distribution based on specific roles
Role of prompting and basic prompt techniques
Basic principles of effective prompting
Basic structure and fundamental components of effective prompts
Enhancing quality of output with effective keyword usage
Few-shot prompting
Iterating and refining prompts: managing behavior of LLM output generation
Problem of hallucination, why do LLMs hallucinate?
Basic principles of hallucination mitigation
In-context learning: providing sources of information
Chat with PDF, DOC, PPT, and textual file
Chat with Spreadsheets
Visualizing quantitative information and finding suitable representations of your data
Specific use-cases based on the domain

Pick your suitable time

Lecturers

Shota Natenadze

AI in Practice

Shota Natenadze

AI in Practice

Shota has several years of experience working as a data scientist and artificial intelligence (AI) engineer. His main interests and areas of work include the theory of classical machine learning algorithms and modern natural language text models, as well as their application in solving business problems. Shota has worked at ISET PI, a leading research organization in the region, and at Optio, an advanced Georgian fintech startup. Currently, he holds the position of Senior Data Scientist at EPAM, where he is creating an AI-based interactive chatbot system for one of the largest American corporations. For 3 years, Shota was also involved in academic activities, specifically teaching 4 different technical courses in probability theory, statistics, econometrics, and machine learning at the International School of Economics at TSU (ISET).

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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, whether it's Cloud.AI or ChatGPT. For the course, only a one-month package is needed, which costs $20.

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