Brief summary of Agent intensive 5 days course

Source: Dev.to

Introduction

This 5‑day introduction course is helpful for seekers who want to advance in the world of A.I. It is well suited for people with some background in programming or deep learning who want to learn about agents. The course answers the following questions:

1. What are agents?
2. Why do we need agents?
3. Are agents necessary for real‑life scenarios?
4. How do they work?
5. How to build your own agent.

Day 1 – Introduction to Agents

• Learned how to import the toolkit to create an agent.
• Conceptualized the agent as a “robot” that we assemble from a package of components (non‑physical, abstract).
• Built an agent that specializes in a particular task and uses Google Search as its tool.

Day 2 – Agent Tools & Interoperability with Model Context Protocol

• Created custom tools tailored to specific needs.
• Connected the agent to A.I. using function tools to retrieve data not present in the training set.
• Improved reliability by reducing hallucinations, enabling actual calculations and coding.
• Learned how to expose an agent as a tool for use by a larger agent.

Day 3 – Agent Sessions

• Discussed the stateless nature of raw LLMs.
• Implemented session management with agents, providing short‑term and long‑term memory.
• Enabled agents to retain context across interactions.

Day 4 – Observability

• Gained visibility into the decision‑making process of agents.
• Learned debugging techniques for both development and production phases, including plugin usage.
• Explored metrics to evaluate agent performance.

Day 5 – Agent‑to‑Agent Communication

• Recognized the limitations of a single agent.
• Established communication between multiple specialized agents.
• Combined capabilities of different agents to deliver comprehensive outputs that meet user needs.

Any questions or topics for discussion are most welcome.