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Create an Agentic Code Assistant with GPT-5 | View in the Skills Network Catalog

You probably use Cursor, why not learn how to build your own? Using LangChain and OpenAI's inexpensive GPT-5 mini model, you'll create an agentic code assistant that writes, debugs, and explains code. Step by step, this project will connect the pieces that make agents work—prompts, tools, and reasoning. By the end, you’ll be ready to apply what you've learned and start building agentic systems of your own.

Introduction to Agentic AI Tools | View in the Skills Network Catalog

Talk to your data instead of coding SQL queries. Imagine asking a database “Who spent the most last year?” and getting an instant answer. In this course, you’ll build two working AI agents that make this possible: one that turns plain English into SQL queries for real databases, and another that lets you chat with pandas DataFrames using LangChain. Along the way, you’ll gain hands-on practice with agentic tools, seeing how they reason about data, generate queries, and make exploration intuitive.

Enhance LLM Powered Web Apps with LangChain.js | View in the Skills Network Catalog

Learn hands-on with LangChainjs and implement its core concepts like models, prompts, conversational memory, tools and agents. This open-source framework is essential for developers and data scientists who work with large language models, it empowers development with flexible tools and abstractions for integration with data sources and workflows. This project is perfect for those looking to streamline Gen AI development and improve application relevance through practical example applications designed to enhance your skills in LLM interactions, document parsing, and agent-based querying.

Use DeepEval and Traditional Metrics to assess RAG responses | View in the Skills Network Catalog

Explore Large Language Model (LLM) evaluation techniques in this hands-on project that compares LLaMA and Granite for Retrieval-Augmented Generation (RAG) and textual analysis. Leverage HuggingFace's Evaluate library for computing traditional metrics and DeepEval, a modern, LLM-based framework for evaluating complex metrics. Through step-by-step guidance, you’ll set up RAG and metric evaluation pipelines, interpret the results, and discover how modular metrics adapt to any LLM use case. Enroll now to gain essential data science expertise and confidently deploy robust RAG applications.

Updates

Analyzing Spreadsheet Data with Python | View in the Skills Network Catalog

We all know how hard it can be to sift through spreadsheets sometimes. With hundreds upon hundreds of rows and columns, there’s a lot of data to get through! But not to worry, we have some good news for you: all that data can be analyzed in Python with just a few lines of code. No longer do you have to scroll through your lagging spreadsheets! With only a few keystrokes, you can cherry pick the data that you need. Get your spreadsheets ready because with this project, you’ll be able to launch your journey into the world of data analysis!