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Duration 14 hours
Course Outline
Overview of AI Agents
- Defining AI agents
- Categorization: Reactive, proactive, and hybrid agents
- Real-world applications of AI agents
Foundational Design Principles
- Essential components of an AI agent
- Interactions between agents and their environment
- Introduction to agent-based modeling
Developing Basic AI Agents
- Survey of tools and frameworks for AI agent creation
- Practical exercise: Building a simple chatbot with Rasa
- Customizing agent behaviors
Advanced Features
- Integrating natural language understanding
- Incorporating machine learning models
- Personalizing agent responses
Real-World Applications
- AI agents in customer service
- Virtual assistants and productivity enhancements
- Interactive learning tools
Performance Improvement
- Boosting agent efficiency
- Considerations for scalability
- Evaluating agent success using KPIs
Ethical and Societal Impact
- Mitigating biases within AI agents
- Safeguarding privacy and data security
- Adhering to AI regulatory standards
Current Challenges and Future Trends
- Limitations in scalability and performance
- Ethical aspects of deploying AI agents
- Evolving trends in AI agent technology
Requirements
- A foundational understanding of artificial intelligence concepts
- Proficiency in Python programming
Target Audience
- Enthusiasts of AI technology
- IT professionals
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
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