Introduction to AI Agents
Course Description
Overview
AI agents are essential tools in modern artificial intelligence, enabling automation and interaction across various applications. This course introduces the fundamentals of AI agents, covering their types, design principles, and practical applications in areas such as chatbots and virtual assistants.
This instructor-led, live (online or onsite) training is aimed at beginner-level professionals who wish to understand and create simple AI agents for real-world applications.
After completing this training, participants will be able to:
- Understand the core concepts of AI agents.
- Identify different types of AI agents and their use cases.
- Design and implement basic AI agents for practical tasks.
- Learn about the tools and frameworks used to build AI agents.
Book This Course
- Format: Remote
- Language: PL
- Type: Open Course, Guaranteed
- Date: October 08-09, 2026
- Duration: 2 days (7h/day)
- Trainer: Konrad Patyański
Net price per participant.
Course Format
- Interactive lecture and discussion.
- Extensive exercises and practice.
- Practical implementation in a live-lab environment.
Prerequisites
- Basic understanding of artificial intelligence concepts
- Knowledge of Python programming
Target Audience
- AI Enthusiasts
- IT Professionals
Course Agenda
Introduction to AI Agents
- What are AI agents?
- Types of AI agents: Reactive, proactive, and hybrid
- Real-world applications of AI agents
Fundamental Design Principles
- Key components of an AI agent
- Agent-environment interaction
- Introduction to agent-based modeling
Building Simple AI Agents
- Overview of tools and frameworks for AI agent development
- Hands-on: Building a basic chatbot using Rasa
- Customizing agent behavior
Advanced AI Agent Features
- Enabling natural language understanding
- Integrating machine learning models
- Personalizing agent responses
Practical Use Cases
- AI agents in customer service
- Virtual assistants and personal productivity tools
- Interactive educational tools
Performance Optimization
- Improving agent efficiency
- Scalability considerations
- Measuring agent success with KPIs
Ethical and Social Implications
- Combating bias in AI agents
- Ensuring data privacy and security
- Compliance with AI regulations
Challenges and Future Directions
- Scalability and performance limitations
- Ethical considerations in AI agent deployment
- Emerging trends in AI agent technology
Summary and Next Steps
No budget? Get funding!
A program that allows you to easily and quickly obtain funding for individual participants' training.
Why choose a guaranteed course?
- Guaranteed delivery — the course takes place regardless of the number of participants.
- Knowledge exchange and networking with professionals from various industries.
- Interactive, live sessions — not just theory, but also exercises and discussions.
- Flexible online format — join from anywhere.
Need Help?
Reach out to learn more about our team and the kinds of tailored solutions we can offer your organization.
Get in Touchwroclaw@nobleprog.pl or +48 (22) 103 3718