AI Eğitimleri

Learn how CrewAI, LangGraph, and AutoGen approach multi-agent AI. Explore their differences in workflows, memory, scalability, and collaboration to discover which fits your needs best.

Learn how to run Qwen3-Next locally, serve it with transformers serve, and interact using cURL and the OpenAI SDK, making it ready for your app integrations.

Learn how Self-RAG improves traditional RAG by incorporating iterative reasoning and self-evaluation, and how to implement it step-by-step using LangGraph.

Learn how to build a chatbot with Snowflake Cortex AI. Step-by-step guide to preparing data, using Cortex Search, and deploying with Streamlit.

Compare LangChain, LangGraph, LangSmith, and LangFlow. Learn their roles, strengths, and when to use each for building production-ready AI applications.

Learn what LiteLLM is and how to use it for unified API calls to various LLM providers, covering basic API usage, error handling, fallbacks, streaming, structured outputs, and cost tracking.

Learn how to build a Streamlit app for side-by-side comparison of Qwen3-Next-80B-A3B and other Qwen models, focusing on real-world performance metrics.

Learn how to install and use Roo Code, an open-source AI coding assistant, and compare its features and functionalities with Cline.

Learn how to build an AI image editor using Tabnine and Google's Nano Banana model.

Learn to set up and use LangExtract for extracting structured data and relationships from unstructured text, comparing its approach to traditional NLP libraries.

Learn what GitHub Models are and how they enhance productivity by integrating AI capabilities into development workflows.

Learn how to turn any PDF into an interactive research assistant using DeepSeek V3.1 and a Streamlit app.