Multimodal-Agents-Course

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multimodal-agents-course is a free, open-source course that teaches how to build AI agents capable of understanding images, text, audio, and videos. It focuses on creating production-ready AI systems with multimodal capabilities.

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At a glance

Pricing

Free · Open Source

Free tier

Yes

API

Skill level

Technical

About

What is multimodal-agents-course?

multimodal-agents-course is a free, open-source educational program designed to teach developers how to build advanced AI agents. The course focuses on creating agents that can process and understand multimodal data, including images, text, audio, and videos. Participants will learn to build an MCP (Model Context Protocol) server for video processing using Pixeltable and FastMCP, design Groq-powered agents, and integrate systems with Opik for observability and prompt versioning. The curriculum emphasizes practical, hands-on implementation, covering topics like complex multimodal processing pipelines, video search engines, and LLMOps principles, making it suitable for ML/AI engineers, software engineers, and data engineers/scientists.

Best used for

Ideal for ML/AI engineers, software engineers, and data engineers/scientists who need to learn how to build AI agents that can understand images, text, audio, and videos, and implement production-ready AI systems. Especially valuable for those looking to design complex multimodal processing pipelines and integrate observability tools.

Common actions

learn AI agent development

build multimodal agents

understand video processing

implement MCP protocol

apply LLMOps principles

"AI Agents"github copilotdeepfakelow-code/no-codecollaborationworkflowsface swappingautomated workflowopen-source

Capabilities

Key features

Build MCP servers
Design Groq-powered agents
Integrate Opik observability
Implement custom MCP clients
Multimodal data processing
Video search engine

Target Audience

developerstudent

Integrations

Not yet documented

Pricing & Plans

Free · Open Source

Free

FAQs

What prerequisites are needed to take the multimodal-agents-course?

A basic understanding of programming, especially Python, is required. While knowledge of AI/ML concepts, LLMs, MCP, and agents is a nice-to-have, the course aims to explain these topics step-by-step, making it accessible for beginner to intermediate learners.

What kind of AI agents will I learn to build in this course?

You will learn to build an MCP Multimodal AI Agent capable of processing video, images, text, and audio. This includes designing a custom, Groq-powered agent connected to an MCP server and integrating it with Opik for observability and prompt versioning.

What are the costs associated with running the examples in the course?

The course and its materials are open-source and free. While AI model inference requires compute, the examples are designed to stay at a minimum cost by utilizing freemium plans from providers like OpenAI ($5 on first sign-up) and Groq (500,000 tokens/day), which are sufficient for the Kubrick Agent example.

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