Modern Neural Networks and Their Applications

Name: Modern Neural Networks and AI Tools — Course in Tallinn, Estonia
Price: 1249.28 EUR

Course Information

Course Objective: to provide the core theoretical knowledge of AI and the basic practical skills in Artificial Intelligence required to use modern AI services.

A laptop can be provided for the duration of the course if needed.

Various financing options are available for this course, including state support programmes and programmes run by non-profit organisations. Contact our consultant for more details.

Learn about support measures →

Target group:

This course is for you if you:

are an IT specialist and want to embed AI tools into your daily work;
are a marketer or copywriter and would like to generate texts, ideas and content with neural networks;
are a designer and are interested in generative neural networks for images and concepts;
are an analyst or manager and need to speed up analysis, reports and routine tasks with AI;
are an entrepreneur or freelancer and want to boost productivity and automate tasks;
are a teacher, author or content creator and would like to apply AI in producing materials;
are a student or a beginner with neural networks and need to learn the tools from scratch;
simply want to boost your personal productivity with modern AI services.

What you'll learn on this course:

Generate text and code in ChatGPT

Use Google Gemini in Docs and Gmail

Analyse texts with Claude

Create images in Midjourney

Master graphics generation in Leonardo.AI

Produce videos with AI avatars in HeyGen

Work with DeepSeek models

Requirements for Participants:

Confident PC user
Preferably with your own laptop (Windows / Mac, 8 GB RAM, screen size > 13.3"); a laptop can be provided for the duration of the course if needed.

Learning Outcomes:

After completing the course, participants will:

Have an understanding of the core capabilities of modern AI services
Use text-based neural networks to generate text (GPT-4o, Google Gemini 2.5, Claude 4, DeepSeek-R1 and similar)
Use neural networks to generate images (Midjourney, Leonardo.AI, Flux.1 and similar services)
Understand the core capabilities of AI services for video generation (Runway Gen-4, Pika Labs, HeyGen)
Have an understanding of advanced ways of working with neural networks across various areas of IT

Learning Methods:

Total course volume: 48 academic hours, of which 32 academic hours take place in the classroom (including 8 hours of practical work and 2 seminars totalling 8 academic hours).

Assessment Criteria:

Learning outcomes are assessed on the basis of independently completed practical work.

Assessment Methods:

Practical and homework assignments are marked as "passed" upon successful completion.

Course Completion Requirements:

To successfully complete the course and receive a certificate, at least 75% of the homework assignments must be passed.

Additional Information:

Curriculum group: Computer use (Arvutikasutus)
General rules for organising studies (in Estonian)
Rules for ensuring study quality (in Estonian)

Course program

Module	Main topics	Volume
Introduction to neural networks	Fundamentals of artificial intelligence History and evolution of neural networks Key concepts: machine learning, deep learning, transformers Current trends in AI development Overview of the most popular neural networks GPT-4o, Gemini 2.5, Claude 4 Midjourney, Leonardo.Ai, Flux.1 (image generation) Runway Gen-4, Pika Labs, HeyGen (video generation) DeepSeek-R1 (a ChatGPT competitor)	4 hrs
Text-based neural networks	GPT-4o – text generation and code writing Practice: creating texts, writing code, automating tasks Google Gemini 2.5 – integration with Google services Using Gemini in Gmail, Docs and search Practice: automating work with documents Claude 4 – in-depth text analysis Advantages of Claude 4 over competitors Practice: working with analytical texts DeepSeek-R1 – alternative neural networks Differences between DeepSeek and ChatGPT Practice: generating text and answers Combining different neural networks Combining GPT-4o, Gemini and Claude 4 for productivity Practice: building complex projects with AI	10 hrs
Image generation	Midjourney v7 – professional image generation Core commands and settings Practice: creating graphics Leonardo.Ai and Flux.1 Differences and capabilities Practice: creating customised images Advanced image-generation techniques Photorealistic and stylised images Practice: refining images in Photoshop	6 hrs
Video generation	Runway Gen-4 – video generation Creating animations and clips Practice: developing a short video Pika Labs and HeyGen Text-to-video and animated AI avatars Practice: creating a presentation video	6 hrs
Advanced techniques for working with neural networks	Automating business processes with AI Using neural networks in marketing, HR and analytics Creating and configuring your own neural networks Using APIs and training models Ethics and limitations of working with AI Legal aspects, copyright, deepfakes Final project Creating an individual project using several neural networks	6 hrs

Course Details

Course Schedule:

27.07.2026 - 21.08.2026
10.08.2026 - 29.08.2026

Apply →We'll reply within 1 business day

Course Duration:

3 weeks

Format and Location:

Address: Tartu mnt. 18, Tallinn.
Gamma Intelligence Training Centre
The course is held in a classroom format, in a modern computer lab. Group size from 6 to 10 people.

Language of Instruction: English

Price: 1249.28 EUR (VAT 24% included)

Total Course Volume: 48 acad. hrs
Includes:

Classroom sessions: 32 acad. hrs (including 8 practical hrs and 2 seminars – 8 acad. hrs)
Independent work: 16 acad. hrs

Instructors

Roman Kutselepa

Qualification: Over 5 years in software development.

Specialisation: web design, JavaScript development, effective use of software products in a company

Teaching Experience: Over 5 years of experience in teaching and staff training

Education: Anglia Ruskin University, 2010 (England)

View CV