Building AI Agents: Tool Use, RAG and Multi-Agent Systems

Description

Learn the fundamentals of building AI agents that are reliable and efficient. This course on building ai agents covers tool use, retrieval-augmented generation (RAG), and multi-agent systems using Python and TypeScript.

Features

• Function Calling and Structured Outputs — Ground LLM reasoning in deterministic logic for reliable outputs.
• Retrieval-Augmented Generation (RAG) — Design pipelines that reduce hallucinations and enhance data grounding.
• Multi-Agent Orchestration — Architect systems with planning loops and memory for efficient execution.
• Cost Control and Observability — Implement monitoring and cost tracking for deployed agents.
• Safety and Security Measures — Defend against prompt injection and ensure safe outputs.

How it works

1. Enroll in the course to access modules.
2. Follow the structured curriculum focusing on practical applications.
3. Complete quizzes and a capstone project to demonstrate your skills.

Requirements

• A current WordPress install

Installation

1. Download the course materials from the marketplace.
2. Follow the setup instructions provided in the course.
3. Start learning at your own pace. Use the resources to build projects.

Frequently asked questions

Who is this course for?

This course is designed for full-stack engineers and technical founders.

What programming languages are used?

The course focuses on Python and TypeScript.

What will I learn?

You will learn to build reliable AI agents, implement tool use, and design RAG pipelines.

Is there a certificate upon completion?

Yes, you will receive a certificate after passing all quizzes and the capstone project.

Can I access the course materials anytime?

Yes, the course is self-paced and materials are available for you to access anytime.

Support & documentation

• Support: contact@cryptoliveleak.com