What's New in Our Catalog

Newest Releases

GPXX0F6REN bannerBuild Reasoning and Acting AI Agents with ReAct | View in the Skills Network Catalog

Create intelligent agents that combine step-by-step reasoning with targeted actions using the ReAct framework. Learn to build AI systems that can break down complex queries, search for information, analyze results, and take appropriate actions to solve problems. This project teaches you to implement the complete ReAct cycle in LangGraph where agents think before they act, observe outcomes, and refine their approach. In 45 minutes, master techniques for developing more reliable and transparent AI assistants capable of multi-step problem solving.

GPXX01DREN bannerBuild a Simple ReAct Agent from Scratch | View in the Skills Network Catalog

Software engineers building with AI don't get left behind, stay ahead by learning the ReAct framework. Create smart agents that reason through problems and take action—where every decision matters. Become the AI architect who designs assistants that solve complex problems by thinking step by step, consulting tools, and taking purposeful actions.

GPXX0IRMEN bannerReflexion Agent 101 | View in the Skills Network Catalog

LangGraph ReAct agents: end the era of unreliable AI responses. Build nutritional advisors that actively research, critique, and improve their answers through systematic self-reflection using the powerful Reflexion framework. Learn to create AI systems that don't just respond but iterate, validate, and refine their expertise like human professionals who double-check their work before giving advice.

GPXX0FPGEN bannerAgentic AI Workflow Design Patterns with LangGraph | View in the Skills Network Catalog

Master the three core Agentic AI design patterns in just one hour using cutting-edge frameworks like LangGraph and LangChain—tools that power today’s most advanced multi-agent systems. Learn Sequential Agent Coordination for step-by-step workflows, Intent-Based Routing for intelligent task distribution, and Parallel Agent Execution for efficient, concurrent processing. With these frameworks, you'll build real-world AI applications such as job application assistants, customer support agents, research copilots, intelligent data routers, and multilingual AI translators.

GPXX0VMSEN bannerPolars 101: Efficient Data Handling That Outperforms Pandas | View in the Skills Network Catalog

Polars is a fast and memory-efficient DataFrame library built in Rust, making it ideal for handling large-scale data. It uses lazy evaluation & multi-threading to outperform tools like Pandas in both speed and scalability. It supports expressive data transformations, scales effortlessly in production environments, and comes backed by robust documentation—making it a powerful choice for building efficient, modern data pipelines. You will analyse a real-world weather dataset and perform a variety of data manipulation tasks.

GPXX0GVVEN bannerBuild a Multi-Tool AI Agent Using LangChain and IBM Granite | View in the Skills Network Catalog

Agentic AI is very popular. Learn to build a responsive AI agent using LangChain’s tool calling with IBM's Granite model in 30 minutes. This beginner-friendly hands-on project guides you through combining key tools like live weather data fetchers, YouTube content handlers, and search utilities. Learn to design a multi-tool workflow that delivers dynamic, real-time outputs using LangChain and watsonx.ai. Ideal for developers seeking applied experience in orchestrating intelligent agents with LLMs and external APIs.

GPXX0BX5EN bannerLearn PydanticAI By Building A Customer Support Agent | View in the Skills Network Catalog

Build a customer support chatbot using the PydanticAI framework in this practical, hands-on project. Learn how to create schema-driven agents that can structure, validate, and manage real AI interactions. Designed to sharpen your applied AI skills, this project helps you build reliable, adaptive systems through real-world support scenarios—preparing you to build smarter AI tools and innovate confidently in the field of AI development. PydanticAI has one simple aim to bring that FastAPI feeling to GenAI app development.

Updates

CC0201EN bannerIntroduction to Containers, Kubernetes, and OpenShift | View in the Skills Network Catalog

This course introduces the core concepts of Containers and Kubernetes and explains how containers differ from virtual machines. It also covers the importance of containers in cloud computing as well as the emerging ecosystem of related technologies such as Docker, Kubernetes, OpenShift, Istio and Knative.

GPXX0560EN bannerBuild a Self-Reflective Deep Research Agent using LangGraph | View in the Skills Network Catalog

Build an OpenAI's DeepResearch-like self-improving AI agent that critiques its responses using structured feedback and external search. This hands-on project covers research-backed validation, graph-based workflows, and intelligent decision-making to refine accuracy and efficiency. You'll explore self-critique, adaptive learning, and automated performance optimization to create an AI agent that handles complex, multi-step tasks with precision. Perfect for developers looking to develop reliable, high-quality AI responses with external tool integration and continuous refinement.