SL 220 AgentCreator

Welcome to AgentCreator! This course will take you from zero to building functional AI agents using SnapLogic's AgentCreator platform. By the end of this course, you'll understand how to leverage large language models (LLMs) within SnapLogic's familiar Designer interface to create intelligent, autonomous agents that can perform complex tasks.

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About this course

Welcome to AgentCreator! This course will take you from zero to building functional AI agents using SnapLogic's AgentCreator platform. By the end of this course, you'll understand how to leverage large language models (LLMs) within SnapLogic's familiar Designer interface to create intelligent, autonomous agents that can perform complex tasks.

The key learning objectives cover during this training:

  • Define AgentCreator and explain its role in the SnapLogic ecosystem
  • Differentiate between Agents and Assistants
  • Identify the four major LLM providers and their characteristics
  • Navigate AgentCreator features within SnapLogic Design

To complete the hands-on labs in this course, your SnapLogic environment must include the AgentCreator Snap Packs and access to a supported LLM provider with valid credentials.

You can still take the course without these prerequisites. However, you will not be able to complete the lab exercises.

 

If you are unsure whether your environment supports building agents, check with your SnapLogic Administrator at your organization.

Curriculum

  • Lesson 1: Getting Started
  • Lesson 2: Introduction to AgentCreator
  • Lesson 3: Prompt Composer & SnapGPT
  • Lesson 4: Building Your First Agent
  • Lesson 5: Debugging
  • Learner Survey
  • Learner Survey

About this course

Welcome to AgentCreator! This course will take you from zero to building functional AI agents using SnapLogic's AgentCreator platform. By the end of this course, you'll understand how to leverage large language models (LLMs) within SnapLogic's familiar Designer interface to create intelligent, autonomous agents that can perform complex tasks.

The key learning objectives cover during this training:

  • Define AgentCreator and explain its role in the SnapLogic ecosystem
  • Differentiate between Agents and Assistants
  • Identify the four major LLM providers and their characteristics
  • Navigate AgentCreator features within SnapLogic Design

To complete the hands-on labs in this course, your SnapLogic environment must include the AgentCreator Snap Packs and access to a supported LLM provider with valid credentials.

You can still take the course without these prerequisites. However, you will not be able to complete the lab exercises.

 

If you are unsure whether your environment supports building agents, check with your SnapLogic Administrator at your organization.

Curriculum

  • Lesson 1: Getting Started
  • Lesson 2: Introduction to AgentCreator
  • Lesson 3: Prompt Composer & SnapGPT
  • Lesson 4: Building Your First Agent
  • Lesson 5: Debugging
  • Learner Survey
  • Learner Survey