Our Program

Build your own AI Agent

Build AI Agents is a five week online course for AI enthusiasts, developers, consultants, and entrepreneurs. Learn to create AI-driven automation, chatbots, and intelligent workflows, making AI practical and approachable for any industry.

Gain strategic and technical skills to leverage AI in startups, enterprises, and consulting roles. The course also addresses ethical considerations and operational challenges, preparing you to build responsible AI solutions.

Program Details

Format

5 live online evening sessions spread over five weeks.

Wednesday evenings, 18:00 – 20:00 (CEST),
from April 2nd, 2025, to April 30th, 2025.

Schedule

Program Fee

€749 + VAT. Payment in installments is possible upon request.

Early Bird Price: €499 + VAT until February 28th, 2025.

Learning Outcomes

  • Develop a strong foundation in AI agent technology, understanding its role in automation, workflow optimization, and intelligent decision-making.

  • Master the end-to-end process of creating AI agents—from conceptualization to real-world deployment—using No-Code, Low-Code, and full-code approaches.

  • Learn how to integrate AI agents into various business and operational contexts, ensuring efficiency, adaptability, and ethical considerations.

  • Discover how expertise in AI agent development can open new career opportunities, positioning you as a leader in automation, AI-driven problem-solving, and innovation within your organization.

What Will You Learn?

Our depth Topics

This program will take you through the essential stages of AI agent development:

    • What are AI Agents and how do they work?

    • AI Agents vs. Workflows: Key Differences

    • How AI Agents handle decision-making and conflicting information

    • AI Agent capabilities: reasoning, memory, and tool use

    • Ethical considerations and risks in AI agent development

    • The impact of AI Agents across industries

    • ⁠⁠Introduction to No-Code/Low-Code AI platforms

    • ⁠Overview of tools like LangChain GUI, Rivet, Amazon Bedrock, Vellum, Flowise

    • How backend integration works for AI Agents

    • ⁠Implementing text-to-text, text-to-voice, voice-to-text, and text-to-image AI Agents

    • Cost analysis of No-Code AI solutions

    • ⁠Identifying real-world use cases for AI Agents

    • Designing and implementing AI Agents with No-Code/Low-Code solutions

    • Connecting AI Agents with APIs and external tools

    • ⁠Evaluating AI Agent performance and optimizing workflows

    • When to move from No-Code to Code-Based solutions

    • ⁠Introduction to LangChain and its architecture

    • ⁠Setting up a development environment (Python, API keys, dependencies)

    • ⁠Building a simple AI Agent with LangChain

    • Understanding LangChain's core components: chains, memory, and tool integrations

    • ⁠Implementing a basic AI Agent that processes text and interacts with external tools

    • ⁠Implementing dynamic conversations and memory management in LangChain

    • How to scale AI Agents for production use

    • Custom tool use: Integrating APIs, vector databases, and external knowledge sources

    • AI guardrails: Ensuring safety, transparency, and ethical AI agent behavior

    • Deployment strategies: Optimizing cost, performance, and scalability

    • The future of AI Agents: Trends, challenges, and advancements

    • Participants will design and build an AI Agent based on a real-world use case

    • ⁠Implement the project using No-Code/Low-Code tools or LangChain

    • Presentations and peer feedback to refine solutions

    • Final optimization and deployment considerations

A participation certificate will be awarded after the successful completion of the program.

Program Instructor

AI Engineer & Co-Founder of AI Strategy Institute

Gentrit Fazlija

The course will be taught by Gentrit Fazlija. He studied Mathematics in Data Science at the Technical University of Munich (TUM). For his Master's thesis, he created and analyzed 96 different AI chatbots to determine which chatbot is most effective depending on the application. He currently works at an international startup, helping small and medium-sized enterprises make better use of their data with AI solutions. Additionally, he works as a trainer specializing in AI, with a focus on prompt engineering, as well as no-code and low-code solutions.