Introduction to AI Agents
As part of the training, we provide an opportunity to gain a comprehensive understanding of artificial intelligence (AI) agents, focusing on their design, implementation and practical application in various industries.
During the course, you will have the opportunity to learn more about how AI agents process information, make decisions and perform various actions autonomously. The curriculum includes both theoretical aspects and practical exercises, both in the development of AI agents and in the application of newly acquired knowledge in real situations.
Plans
Contact us
Apply or ask a question!
If you want to apply for the course or ask a question about it, feel free to use this form. |
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Contact us
Apply or ask a question!
If you want to apply for the course or ask a question about it, feel free to use this form. |
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|
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Course Target
Building a comprehensive understanding and promoting practical skills on:
- what are basic principles of AI agents and systems;
- how to design of autonomous agents and their various applications
- how to use AI agents in solving real challenges.
Audience
Anyone who wants to improve their knowledge and skills in working with AI and its agents.
At Course Completion you will be able to
- Understand the basic concepts and architectures of AI agents.
- Skillfully apply the newly acquired knowledge in the creation of agents and their design development.
- Create autonomous AI agents that can perceive, reason and act on their own.
Prerequisites
Knowledge and experience working with large language models or having mastered the basics of AI is desirable.
Training materials
Training materials and practial examples prepared by BDA.
Certification Exam
Not intended.
Course Outline
- Introduction to AI Agents. Their nature and main benefits.
- Agent architectures. Reactive, deliberative and hybrid models; stages, methods and their meaning.
- Perception and information processing. The study of interaction with the environment. Decision making and judgment, methods for customizing operations.
- Agents and Agentic Systems: AI and human work.
- Multi-Agent Systems. Cooperation and communication of agents, Agent-Based Modeling.
- Interaction between humans and AI agents, imitating emotions. Ethical aspects.
- Practical applications. Use cases in business process automation.
If you want to get more information about this course, please contact us by phone +371 67505091 or send an e-mail at mrn@bda.lv.
