Today, an Airport Agent that automatically generates boarding announcements in multiple languages, a Financial Advisor Agent that carries out market analyses in real-time, and a Medical Assistant that processes patient inquiries in multiple languages are already a reality.
Dr. Maryam Miradi’s AI Agents Mastery course provides the knowledge required to apply these technologies professionally today. Participants learn how they can revolutionize processes through the targeted use of AI Agents. These autonomous digital assistants communicate with each other and carry out complex tasks.
A comparison of three specialized approaches
The rapid development in the field of AI Agents has led to the emergence of various specialized frameworks. Three approaches, which are characterized by their different focuses and philosophies, are currently receiving particular attention.
LangGraph focuses on precise process control, CrewAI relies on intuitive team structures and OpenAI Swarm pursues a minimalist, experimental approach. This diversity enables companies to choose the framework best suited to their specific requirements.
LangGraph: The workflow specialist
Core competence: Graph-based control of complex processes
Strengths:
- Comprehensive memory system for context management
- Superior multi-agent support
- Visualization of complex interaction patterns
Areas of application: Structured company workflows, precise process control
CrewAI: The team player
Core competence: Role-based collaboration of AI agents
Strengths:
- Intuitive user interface
- Fast implementation
- Flexible team structures
Areas of application: Prototyping, initial pilot projects, agile development
OpenAI Swarm: The minimalist
Core competence: Lightweight multi-agent systems
Strengths:
- Easy integration
- Focus on core functionality
- Ideal for educational purposes
Areas of application: Proof-of-concepts, training, simple automations
Practical experience from the AI Agents Mastery course
The AI Agents Mastery course shows in three industry-specific implementations how these different framework approaches can be used optimally in practice. Each framework is used for different use cases according to its strengths – from complex airport control and AI-supported financial analyses to sensitive patient care.
The examples tested in practice not only illustrate the technical possibilities, but also offer concrete instructions for your own implementation.
- Airport Management with OpenAI Swarm
Check-in Counter Agent: Automated passenger processing
Police Control Agent: Passport Control with Face Recognition and Nationality control
Flight Gate Agent: Intelligent boarding control
Geo Agent: Real-time information on flight destinations
Integration: ElevenLabs for natural language output
- Financial analysis with CrewAI
Market Research Agent: Analysis of market trends
Financial Advisor: AI-supported investment advice
Finance Table Generator: Automated data preparation
Integration: DuckDuckGo and Serper for real-time searches
- Healthcare with LangGraph
Front Desk Agent: Face and Gender Recognition with Vision Models
Doctor Agent: Initial medical assessments
Radiologist Agent: AI-supported image analysis
Integration: Hugging Face for image processing
Technical diversity: the ecosystem of AI agents
The AI Agents Mastery course provides a comprehensive introduction to a wide range of cutting-edge tools and technologies. This diversity makes it possible to implement the optimal solution for every requirement:
Local development environment
The integration of Ollama as a local LLM system not only ensures maximum data security, but also enables rapid iterations during development. Development takes place in protected, independent system environments – comparable to digital sandboxes. This means that prototypes can be tested securely and later transferred to larger company systems without risk.
Intelligent information procurement
The combination of Serper (an API service based on the Google search engine) for precise web searches and DuckDuckGo for data protection-compliant searches creates a powerful basis for well-founded decisions. Specialized APIs expand this spectrum with industry-specific specialist data and enable in-depth analyses.
User-oriented interaction
Gradio is used to create initial prototypes and tests, as it enables the rapid development of simple user interfaces. The integration of ElevenLabs extends the interaction possibilities through high-quality voice output. The examples in the course show different possibilities of user interaction – from simple input masks to more complex dialog systems.
AI model orchestration
Hugging Face, often referred to as “GitHub for AI”, provides an extensive library of already trained AI models. These can be used directly, whether for image analysis, speech processing or text generation. Instead of developing their own models from scratch, companies can access these pre-trained solutions and adapt them to their specific requirements. This not only saves development time and computing resources, but also enables smaller teams to get started with advanced AI applications.
EU AI Act: Current obligations since February 2025
Articles 1 to 5 of the EU AI Act have been in force since February 2025 and entail far-reaching requirements for companies. The key requirements include
- Mandatory AI training for all employees
- Comprehensive documentation of AI systems
- Risk classification according to EU requirements
- Threat of competition law warnings until August 2025
- From August 2025, infringements will be punishable by fines of up to 35 million euros or 7% of annual global turnover
Customized support offer for your EU AI Act-compliant AI deployment
Our comprehensive support offering is enriched by the latest insights from the AI Agents Mastery course, specifically in the area of AI agent implementation:
- Individual needs analysis: we analyze your existing processes and identify the optimal deployment options for artificial intelligence – from classic AI applications to specialized AI agent systems.
- Customized AI training: Based on your specific requirements, we develop tailor-made training concepts for your employees.
- Practice-oriented workshops: In hands-on sessions, we work together to develop concrete implementation strategies for your company.
- Training on ethical aspects: We impart the necessary skills for responsible and EU-compliant use of AI systems.
- Certified final exam: Document the skills your employees have acquired through our recognized certification.
We support you in setting up your company in accordance with the EU AI Act.
Conclusion
AI agents are becoming the centerpiece of modern business automation. The ability of these systems to coordinate and carry out complex tasks independently will fundamentally change the way we work. Companies that adapt this technology now will actively shape this transformation and secure decisive competitive advantages.
The AI Agents Mastery course by Dr. Maryam Miradi (www.maryammiradi.com/ai-agents-mastery) offers an excellent insight into the practical implementation of AI agents. The concepts and practical examples taught there provide a solid foundation for getting started with this pioneering technology.
Get started now with the EU-compliant implementation of AI agents in your company. Our tailor-made training courses are based on the latest developments and take all regulatory requirements into account.
