Building Simple AI Agents with Python
This program includes hands-on course focusing on implementing basic agents using Python libraries. Covers setting up development environments, creating agents with basic planning and execution, and integrating simple tools.
Pre-Requisite
- Core Concepts of Agentic AI
- Intermediate Python programming (including object-oriented programming)
- Basic understanding of APIs
Course Outline
- 4 Sections
- 16 Lessons
- 4 Days
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- DAY 1 - Python Environment Setup & LLM Integration4
- DAY 2 - Agent Core Loop & Basic Planning4
- DAY 3 - First Tool Integration4
- 3.1Concept of Tools/Functions for Agents
- 3.2Defining and registering simple Python functions as agent tools (e.g., a calculator function, a basic data lookup)
- 3.3Implementing function calling mechanisms with LLMs (e.g., using tool_code in Gemini API or function_calling in OpenAI)
- 3.4Hands-on: Building an agent that uses a simple tool to complete a task.
- DAY 4 - Agent Evaluation & Refinement4
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