Course Modules

6 modules • 30+ lessons • From fundamentals to production

1

مقدمه‌ای بر عامل‌های AI

4 lessons

100%
1.1What is an AI Agent?
1.2Types of AI Agents
1.3Key Components of an AI Agent
1.4Applications of AI Agents
2

مبانی AI و ML

5 lessons

40%
2.1Core AI Concepts
2.2Introduction to Machine Learning
2.3Key Algorithms for AI Agents
2.4Large Language Models (LLMs)
2.5Tools, APIs, and the Agent Ecosystem
3

طراحی و معماری عامل

5 lessons

0%
3.1Agent Architecture Patterns
3.2Defining Agent Goals and Objectives
3.3Environment Modeling and Perception
3.4Decision-Making and Reasoning
3.5System Design for AI Agents
4

پیاده‌سازی عامل‌های AI

8 lessons

0%
4.1Development Environment Setup
4.2Building Your First Agent
4.3Building an LLM-Powered Agent
4.4Adding Tools and Function Calling
4.5Building with LangChain
4.6Building with LlamaIndex
4.7Agent Memory and State Management
4.8Testing and Debugging Agents
5

مفاهیم پیشرفته

6 lessons

0%
5.1Multi-Agent Systems
5.2Agent Communication and Collaboration
5.3Learning and Adaptation
5.4Safety, Ethics, and Responsible AI
5.5Deployment and Scaling
5.6Production Best Practices
6

یادگیری مبتنی بر پروژه

4 lessons

0%
6.1Project: Customer Support Agent
6.2Project: Research Assistant Agent
6.3Project: Multi-Agent Workflow
6.4Capstone Project