About Haystack - Build customizable LLM pipelines with AI Tools course
Haystack is an end-to-end framework that accompanies you in every step of the GenAI project life cycle. Whether you want to perform document search, retrieval-augmented generation (RAG), question answering, or answer generation, Haystack can orchestrate state-of-the-art embedding models and LLMs into pipelines to build end-to-end NLP applications and solve your use case.
This beginner to advanced all-encompassing course aims to swiftly show you how to leverage the Haystack 2.0 library for LLM applications. You will acquire the expertise and insights required to create state-of-the-art LLM solutions across a wide array of subjects.
What you'll learn:
- Haystack Foundations : Understand fundamentals of Haystack2.0 by learning Haystack components. Haystack theory with applications
- Real-World Applications : Implement Haystack components with real world applications
- Prompt Engineering : Learn prompt engineering techniques - Zero Shot, Few Shot and Chain of Thought
- RAG Pipeline : Learn about RAG, Vector store
- Haystack 2.0 Concepts : Pipelines, Components, Document Store, Retrievers
- Haystack 2.0 Advance Topics : Ranker, Hybrid Retriever, Advanced Filtering, Self Correcting Loops
- During the course, you will engage in practical exercises and real-world projects to solidify your grasp of the concepts and methods discussed. By the course's - conclusion, you will be skilled in utilizing Haystack to develop robust, efficient, and adaptable LLM applications for a broad range of uses.
Who Should Enroll:
AI developers, data scientists, business leaders looking to acquire skills in building generative AI-based applications with Haystack
