Enroll Course: https://www.coursera.org/learn/fundamentals-of-ai-agents-using-rag-and-langchain
In the rapidly evolving world of artificial intelligence, acquiring skills in building advanced AI agents is more crucial than ever. The ‘Fundamentals of AI Agents Using RAG and LangChain’ course on Coursera is designed to equip aspiring AI engineers with practical, job-ready skills essential for today’s AI landscape. This course dives deep into cutting-edge topics such as retrieval-augmented generation (RAG), prompt engineering, and the versatile LangChain framework.
Throughout the course, you’ll explore how RAG enhances response generation for applications like chatbots, leveraging technologies like Dense Passage Retrieval (DPR) and the Faiss library to handle high-dimensional data searches efficiently. The hands-on labs using PyTorch and Hugging Face will give you practical experience in evaluating content relevance and dataset retrieval.
In addition, the course covers advanced prompt engineering techniques and the application of LangChain to streamline LLM-based development. You’ll learn to create sophisticated prompts, develop document loaders, retrievers, and build complex chains and agents that integrate LLMs with RAG technology for dynamic document retrieval and interactive applications.
This course is perfect for those looking to boost their AI career with in-demand skills and hands-on experience in modern AI frameworks. Whether you’re a beginner or an experienced developer, the comprehensive modules and practical labs will help you stay ahead in the AI industry.
Highly recommended for AI enthusiasts eager to build scalable and efficient AI applications, this course will empower you to develop technology that aligns with current business demands for advanced, intelligent solutions.
Enroll Course: https://www.coursera.org/learn/fundamentals-of-ai-agents-using-rag-and-langchain