• Home
  • Unit 1
    • Unit 1 Overview
    • Day 1 : APIs & Your First LLM Call
    • Day 2 : Tools - Structure & Uses
    • Day 3 : Tool Wrappers & Local Data
    • Day 4 : Response Formats & Datatypes
    • Day 5 : Statefulness & Conversation History
    • Day 6 : Connecting to the World via MCP
    • Day 7 : MCP from GitHub
    • Day 8 : Subagents & Multi-Agent Intro
    • Unit 1 Project : Build a Powerful Bot
  • Unit 2
    • Unit 2 Overview
    • Day 1 : What Makes an Agent Bad?
    • Day 2 : Defining Main Failures
    • Day 3 : LangSmith Setup & Trace Reading
    • Day 4 : Token & Latency Analysis
    • Day 5 : Evals & Golden Test Sets
    • Day 6 : Debugging Failure Patterns
    • Day 7 : Automation Rules & Alerts
    • Day 8 : Diagnosing a Broken Agent
    • Day 9 : Unit Review & Assessment
    • Unit 2 Project : Build a Good Bot
  • Unit 3
    • Unit 3 Overview
    • ⚠️ Unit 3 is currently in production
    • Day 1 : What Is Context Engineering?
    • Day 2 : Planning Agentic Systems
    • Day 3 : Context Management Strategies
  • Dictionary

Agentic AI Course — BYU-Idaho

 

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