AI Agents
Pathway: Programming
This course aims to provide trainees with skills automate tasks using AI Agents Pre-req: python
#LLM#AI#Autonomous#AI_Agent
1. Understand the fundamental concepts of AI agents and their applications.
Learning Targets:
1. Define AI agents and explain their role in autonomous decision-making.
2. Identify different types of AI agents and their use cases.
Modules
1. Introduction to AI Agents
1. 1. Defining AI Agents
Learning Outcomes:
1. Define AI agents.
2. Explain the role of AI agents in autonomous decision-making.
1. 2. Types and Use Cases of AI Agents
Learning Outcomes:
1. Identify different types of AI agents.
2. Analyze use cases for various AI agents.
2. Apply Python programming skills to develop simple AI agents.
Learning Targets:
1. Write Python scripts to automate basic tasks using AI agents.
2. Integrate Python libraries to enhance the capabilities of AI agents.
Modules
1. Python for AI Agents
1. 1. Automating Tasks with Python
Learning Outcomes:
1. Write Python scripts to automate basic tasks using AI agents.
1. 2. Enhancing AI Agents with Python Libraries
Learning Outcomes:
1. Integrate Python libraries to enhance the capabilities of AI agents.