What You Need to Know Before
You Start
Starts 6 June 2025 18:55
Ends 6 June 2025
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1 hour 6 minutes
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Overview
Discover how to build AI agents that transform unstructured data into searchable insights, from basic implementations to advanced multi-agent systems.
Syllabus
- Introduction to AI Agents
- Understanding Unstructured Data
- Basic AI Agent Implementation
- Transforming Unstructured Data into Insights
- Building a Simple AI Agent
- Intermediate AI Agents
- Advanced AI Agent Systems
- Case Studies
- Hands-On Project
- Conclusion and Future Trends
- Q&A and Networking Session
Overview of AI Agents
Types and Applications of AI Agents
Definition and Characteristics
Challenges in Processing Unstructured Data
Data Collection Techniques
Data Preprocessing
Simple Search Algorithms
Natural Language Processing (NLP) Techniques
Text Structuring and Summarization
Knowledge Extraction Methods
Setting Up the Environment
Basic Agent Architecture
Implementing a Searchable Database
Incorporating Machine Learning Models
Improving Data Processing with ML
Automation of Agent Processes
Introduction to Multi-Agent Systems
Communication Strategies Between Agents
Coordination and Decision Making
Real-world Examples of AI Agents
Analysis of Successful Implementations
Designing and Implementing Your AI Agent
Transforming Unstructured Data into Insights
Challenges in AI Agent Development
Emerging Trends and Technologies
Subjects
Computer Science
