LiveGenAIAgentsTool Use
Agentic AI & AI Agents
Build autonomous agents that use tools, retrieve knowledge, and act.
4.9(980 ratings)8.1K learnersAdvancedEnglishUpdated Jun 2026
Created by Kabir Anand · Agent Systems Architect · ex-OpenAI
What you'll learn
Wire LLM tool/function calling and the agent loop (ReAct)
Give agents knowledge with RAG and durable memory
Plan and execute multi-step tasks reliably
Use agent frameworks (LangGraph / OpenAI Agents SDK)
Orchestrate multi-agent systems with guardrails + human-in-the-loop
Evaluate, cost-control, and ship agents to production
Course content
3 sections · 13 lessons · 5h 2m
- LLM APIs & tool/function calling22m
- What is an agent? (perceive → reason → act)20m
Requirements
- Comfortable calling an API and reading JSON
- Basic Python; you've used an LLM API before
- Finished Prompt Engineering or equivalent (recommended)
Description
Go beyond chat. Build AI agents that perceive, reason, and act — calling tools, retrieving knowledge, remembering state, and planning multi-step tasks. Start with tool/function calling and the ReAct loop, move through RAG, memory, planning and agent frameworks, then reach GOD tier: multi-agent orchestration, safety guardrails, human-in-the-loop, cost control, and shipping a real agent to production.
Your instructor
KA
Kabir Anand
Agent Systems Architect · ex-OpenAI
Builds autonomous agents that use tools and act safely in production. Agents, end to end.