Maximize cost efficiency by choosing the right AI agent development approach on Azure
In this module, you'll evaluate when to develop custom AI agents tailored to your needs and when to deploy prebuilt solutions from trusted platforms. Learn how to assess trade-offs in time-to-value, complexity, customization, and operational cost. This module also guides you in selecting the right models for your AI agents, from lightweight task-specific agents to advanced multi-modal agents.
Learning objectives
In this module, you'll evaluate when to develop custom AI agents tailored to your needs and when to deploy prebuilt solutions from trusted platforms. Learn how to assess trade-offs in time-to-value, complexity, customization, and operational cost. This module also guides you in selecting the right models for your AI agents, from lightweight task-specific agents to advanced multi-modal agents.
By the end of this module, you are able to:
- Select the appropriate AI hosting platform.
- Build agents, your way.
- Understand the trade-offs between Copilot and Pro-Code.
Prerequisites
- "Basic understanding of AI and large language models (LLMs)"
- "Familiarity with cloud platforms and software lifecycle concepts"