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Author: Siyona Agarwal

  /  Articles posted by Siyona Agarwal

Tina Huang offers a beginner-friendly guide to building AI agents using both no-code and code-based tools, explaining key components like models, tools, memory, and guardrails. Through real-world examples and workflows, you’ll learn prompt engineering and how to design practical agents

N8n is an open-source automation tool that lets you create custom workflows by connecting apps, APIs, and services through a visual interface. It supports AI integration and complex logic, making it ideal for automating tasks without writing code.

LangGraph is a framework for building autonomous AI agents using graph-based orchestration, enabling complex, multi-step workflows with memory and logic. It supports advanced reasoning, human-in-the-loop controls, and performance monitoring, making it ideal for scalable and adaptable AI applications.

LangChain is a flexible AI framework that simplifies building LLM-powered applications by connecting models with data sources, APIs, and tools. It’s ideal for creating linear, step-by-step workflows for tasks like document retrieval, chatbots, and question answering.

MindStudio is a no-code platform for building custom AI agents that automate tasks, manage projects, and support content or research workflows. It offers a visual interface, API integration, and collaboration tools—ideal for individuals and businesses seeking efficient, AI-powered solutions.

CrewAI is an AI framework for building collaborative multi-agent systems, where each agent is assigned a specialized role and works together to complete complex tasks. It enables structured planning, dynamic delegation, and coordination between agents using large language models.

This course teaches how to design and apply AI agents for increased productivity and real-world problem solving. Through hands-on labs and practical projects, you'll gain skills in generative AI, prompt engineering, and multi-agent system design for personal and professional use.