Overview:

This comprehensive two-day course provides you with both theoretical knowledge and practical skills to understand, develop, and implement AI agents in your organization. Whether you're an innovation manager looking to leverage AI for business transformation, a developer seeking to build intelligent systems, or an IT leader evaluating strategic technology investments, you'll gain valuable insights and hands-on experience with cutting-edge AI agent technologies.

What will you learn in this live class?

• The fundamentals of AI agents and how they differ from other AI systems.
• How to develop conversational agents using Rasa and pre-trained models from Hugging Face.
• Practical applications of AI agents in customer service, process automation, and decision support.
• Strategies to address ethical challenges, privacy concerns, and user acceptance.
• How to evaluate and implement AI agents for specific business processes.
• Future trends and innovations in AI agent technologies.

Course structure:

The training combines theoretical foundations with hands-on application:

Day 1: Foundations and Technologies

• Introduction to AI agents: definitions, types, and core technologies.
• Technical architecture: NLP, reinforcement learning, and decision systems.
• Tools overview: Rasa, Hugging Face Transformers, n8n, and commercial solutions.
• Application scenarios and business use cases.

Day 2: Practical Implementation and Strategy

• Hands-on workshop: Building a simple AI agent with Rasa.
• Integration of pre-trained models and testing with real data.
• Addressing challenges: bias, transparency, and trust.
• Strategic implementation and evaluation of business impact.
• Future perspectives and innovation opportunities.

Teaching approach:

Our learning methodology combines theory with immediate practical application:

• Interactive presentations and demonstrations of AI agent technologies.
• Hands-on exercises to develop and test your own AI agents.
• Group discussions and case studies analyzing real-world implementations.
• Collaborative problem-solving and critical reflection.

Who should take this course?

This course is designed for:

• Innovation managers are seeking to understand AI's potential for new business models.
• Developers are interested in implementing AI agents in existing systems.
• IT leaders are responsible for strategic technology decisions.
• Business analysts are evaluating process automation opportunities.
• Project teams are working on digital transformation initiatives.

Why take this course:

For participants, this course provides practical knowledge and skills to develop AI-powered solutions, expanding your technical and strategic competencies. For organizations, it offers pathways to efficiency gains through intelligent automation, enhanced customer experiences, and competitive advantages through AI innovation.