Course Outline

Introduction to Quark

  • Overview of Quark as an AI agent platform
  • Understanding the architecture and key components
  • Setting up Quark for development

Building Intelligent Agents with Quark

  • Agent design and decision-making frameworks
  • Developing automation workflows with Quark
  • Implementing decision trees and state machines

Integrating Quark with Data and Systems

  • Data ingestion and processing with Quark
  • Integrating Quark with external APIs and databases
  • Optimizing real-time decision-making

Advanced Automation with Quark

  • Event-driven automation with Quark
  • Creating dynamic workflows and decision matrices
  • Handling complex decision logic

Testing and Monitoring Intelligent Agents

  • Implementing testing frameworks for Quark agents
  • Monitoring agent performance and efficiency
  • Troubleshooting and debugging common issues

Case Studies and Real-World Applications

  • Exploring successful use cases of Quark for automation
  • Applying Quark to streamline business processes
  • Building a prototype intelligent agent

Summary and Next Steps

Requirements

  • Basic programming skills in Python
  • Familiarity with AI and automation concepts

Audience

  • AI engineers
  • Software developers
 14 Hours

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.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

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