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AI Agent Development Practitioner

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Artificial intelligence is entering a new phase of development. While large language models (LLMs) have become indispensable tools in recent years for text generation, information analysis, and decision support, a new generation of solutions is now emerging – AI agents. 

AI agents are no longer just digital assistants, but autonomous digital collaborators capable of using tools, performing tasks, and solving complex problems. Organizations that understand the difference between LLM systems and AI agents are already gaining a significant competitive advantage.

This training guides participants through the entire development process – from understanding the fundamentals of artificial intelligence to building real AI applications that can be used in a business environment.

The training is based on a practical approach and enables participants to quickly acquire knowledge that is currently among the most in-demand in the field of digital transformation.
 

 

Purpose

The purpose of the training is to equip participants with practical skills for using artificial intelligence in developing digital solutions and understanding the modern AI tools ecosystem. Participants are guided from basic AI concepts to developing their own AI applications and prototypes (MVPs). Special emphasis is placed on understanding the concept of Context Engineering, which represents one of the most important competencies for effective use of AI systems.

Participants:

  • gain an understanding of how large language models (LLMs) work 
  • explore modern AI development tools 
  • learn the difference between conversational AI tools and AI agents 
  • learn the principles of Context Engineering 
  • develop and test a prototype of their own application using AI coding agents 
  • learn the process from idea to production implementation

“One Course two Certificates”
 

Participants gain the IQNET Certificate (Internationally Recognized Certificate) and SIQ Certificate showing successful completion of the course.       

Content

The training consists of six modules that gradually guide participants from understanding the technology to developing concrete solutions.

💡Module 1: Understanding Large Language Models (LLMs) 

  • Overview of AI development
  • Basic architecture of LLMs 
  • Understanding capabilities and limitations of LLMs
  • Context, memory, and model behavior.

💡Module 2: AI Tools Ecosystem  

  • Overview of the modern AI tools landscape
  • Comparison of different AI platforms
  • Cloud and local models
  • Hands-on work with tools such as Claude Desktop, Google Gemini, Google AI Studio, LM Studio, Antigravity, and n8n
  • Use of GitHub and other development platforms

💡Module 3: AI Agents – Autonomous Digital Collaborators

  • Key differences between LLM systems and AI agents
  • Using AI agents for task automation
  • Connecting AI models with tools
  • Use of the Model Context Protocol (MCP)
  • Using AI coding agents in software development  

💡Module 4: Context Engineering

  • Preparing effective context for AI systems
  • Designing structured instructions for AI agents
  • Researching and documenting project information
  • Preparing documentation in markdown format
  • Preparing a context package for MVP application development

💡Modules 5–6: MVP Application Development  

  • Development of your own AI project
  • Use of AI coding agents
  • Web application development
  • Testing and optimization
  • Deployment to a production environment
  • Presentation of the developed solution
🔎 A detailed overview of the program is available in PDF Format

Recommended Participants

The training is intended for professionals who want to understand and apply AI in the development of digital solutions and business processes: 

  • business leaders and decision-makers 
  • entrepreneurs and startup founders 
  • product managers 
  • innovation and digital transformation leaders 
  • consultants and analysts 
  • marketing professionals
  • anyone with a solid understanding of digital technologies seeking new career opportunities 
No programming knowledge is required, but a basic understanding of digital technologies and willingness to actively participate in practical tasks is recommended.
For participants who wish to experiment with local AI models, a computer with at least 16 GB RAM and a modern processor is recommended, but not required. 

Working method

The training is conducted as an intensive two-week program combining theoretical explanations and practical work. It follows a learn-by-doing approach, where most of the time is dedicated to practical work. The training includes: 

  • expert lectures
  • hands-on workshops
  • individual or group project work
  • development of your own MVP project
  • presentation and discussion of solutions.

Participants use modern AI tools such as: Google Gemini, AI Studio, Firebase, NotebookLM, Antigravity, Claude, GitHub and n8n. Most platforms offer free versions sufficient for training purposes. 

Certificate

Upon successful completion, you will receive the title: AI Agent Development Practitioner. The condition for obtaining the certificate is regular attendance, active participation, and the development and presentation of your own project (MVP – minimum viable product) demonstrating the application of acquired knowledge.

 

Additional information: Bojan Varga, phone: (01) 4778 108, e-mail: bojan.varga@siq.si 

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