Udemy – Development Multi Agent and AI Agent in Crypto

Equip you with the skills to build innovative applications using LLMs, leveraging tools like AutoGen, GAME, Virtual Protocol, MCP, Ollama, and models such as DeepSeek, Llama, Qwen, plus AI Agent, Multi-Agent, VLM, and RAG. You’ll master the development of intelligent agents and learn to apply various integrations.

Why Choose This Course?

• Helps you create relevant Pet Projects (AI Agents / RAG).
• Strong focus on practical application.
• Covers the full journey—from core concepts to advanced solutions.
• Modular structure suitable for all skill levels.
• Built on best practices for effective learning.
• Taught by a practitioner with experience in major projects and a teaching background.
• Memes
• Support

Who this course is for:

• A course for Python developers who want to create a smart agent with LLM, a browser, custom tools, and AutoGen.
• For AI enthusiasts who want to use MCP, Ollama, and AutoGen to create interactive and flexible assistants.
• For AI enthusiasts who want to use large language models on their own hardware or in closed systems. Local launch (self-host / on-premises) DeepSeek / Qwen / Llama.
• Suitable for developers familiar with Python who want to learn how to integrate LLM and tools into a single agent.
• A course for those who want to dive deeper into AutoGen and build their own agent with web search and code execution capabilities.
• Ideal for developers learning DeepSeek / Qwen / Llama and AutoGen and wanting to build a next-generation agent.
• A course for professionals interested in creating LLM agents that can combine web tools and custom functions.
• For advanced users interested in using local LLMs, such as LLaMA, in conjunction with external APIs.
• Suitable for Python developers who want to implement custom functions and web tools in their AI assistants.
• The course will be useful for developers who are already familiar with the basics of LLM and want to build an agent with complex behaviour.
• For engineers interested in AutoGen, async architecture, and the practical implementation of agents with MCP tools.

DOWNLOAD LINK: Development Multi Agent and AI Agent in Crypto