Aihero – Build DeepSearch in TypeScript 2025-7

Aihero – Build DeepSearch in TypeScript 2025-7 Downloadly IRSpace

Aug 17, 2025 - 02:37 Updated: Aug 19, 2025 - 14:32

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Aihero – Build DeepSearch in TypeScript 2025-7

Build DeepSearch in TypeScript course. This intensive, hands-on course teaches participants the skills necessary to develop LLM agents and AI applications in production by building an AI application called DeepSearch. In this course, you will learn how to build a functional, producible AI application, beyond a simple proof of concept. Focusing on critical details such as unit testing, collecting performance metrics, and analyzing data, this course will introduce you to the challenges of developing AI in a production environment. Key topics include implementing backend infrastructure such as a PostgreSQL database and caching with Redis, debugging AI decisions, and ensuring chat consistency and real-time UI updates. You start with a pre-built project based on Next.js and TypeScript, building a simple agent, and connecting it to an LLM. You’ll then add visibility and evaluation capabilities with tools like LangFuse and Evalite, and learn advanced patterns like task decomposition and the evaluator-optimizer loop. By the end of the course, you’ll be able to build reliable AI applications that can be improved through user feedback.

What you will learn

Building an AI “DeepSearch” application from scratch using Next.js, TypeScript, and a database.
Implementing simple and advanced agents to manage complex tasks.
Learn and implement Observability and Evaluation (Evals) to analyze the performance and debug AI programs using tools like LangFuse and Evalite.
Manage data structures such as caching and databases to store and maintain conversations.
Rearchitecting agents to handle more complex logic and implement patterns such as Task Decomposition and Evaluator-Optimizer Loop.
Creating unit tests to assess LLM outputs and using LLM-as-a-Judge.
Understand the fundamental principles for building reliable AI programs that can improve over time.

This course is suitable for people who:

Developers looking to gain skills in building practical, production-ready AI applications.
Programmers who want to go beyond basic AI concepts and tackle real-world challenges like debugging and performance management.
People who want to build professional AI projects using TypeScript and tools like Next.js and PostgreSQL.
Programmers who want to learn advanced patterns and architectures in developing LLM agents.