[00:02] 2026, then [music] these are the frameworks you should know. First is scikit-learn. This is where you're going to understand the basics of machine classification, and model training. Second one is learn PyTorch. PyTorch is
[00:16] one of the most important [music] deep learning frameworks, especially if you want to work with neural networks and AI models. [music] Third is learn TensorFlow and Keras. Keras is the high-level API of TensorFlow, [music]
[00:28] and it is useful when you want beginner-friendly way to build deep learning model. Fourth is Hugging Face Transformers. [music] And this is very important for working with LLMs, text, visions, audio, video, [music] and
[00:41] multimodal AI models. Fifth is LangChain and LangGraph. LangChain helps you build AI applications, while LangGraph is useful for building reliable AI agents with memory, tool use, and multi-step workflows. Sixth is learn LlamaIndex. If
[00:57] you want to build RAG apps that connect AI with PDF, APIs, SQL, and business data, then LlamaIndex is a must-know framework. And finally, explore CrewAI, which is a semantic kernel or OpenAI agent SDK if you want to build AI agent
[01:14] don't try to learn everything at the first go. Start with machine learning basics, then go into deep learning, then learn about LLMs, and then explore Agentic AI. So, guys, these are the smartest AI
[01:27] framework for 2026. Let us know in the comment section below Let us know in the comment section below which one are you learning right now.