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Generative AI With Langchain, RAG, Huggingface & Agentic AI
Highest Rated
New
Rating: 5.0 out of 5(26 ratings)
74 students

Generative AI With Langchain, RAG, Huggingface & Agentic AI

Learn, Build Application, Deploy and Apply Generative AI with With Langchain, Huggingface & Agentic AI
Highest Rated
New
Created byAtchiyyamma Resu
Last updated 6/2026
English
English [Auto],

What you'll learn

  • Understand the foundations of Generative AI and deep learning, including neural networks, probability, statistics, linear algebra, GANs, VAEs, transformers
  • Build and implement real-world Generative AI applications using TensorFlow, Hugging Face, LangChain, LangGraph, and modern AI development frameworks
  • Develop, fine-tune, and deploy Large Language Model (LLM) solutions, including AI agents, Retrieval-Augmented Generation (RAG) systems, and chatbot applications
  • Create end-to-end AI-powered solutions by integrating vector databases, Streamlit frontends, multimodal models, and advanced Generative AI techniques

Course content

1 section • 7 lectures • 43m total length

  • Introduction6:29

    Explore how initialization happens when creating tables in a SQLite database, then execute and parse select statements from the sqlite_master schema, tracing tokenization and parsing steps.

  • What is Generative AI5:27
  • Applications of Generative AI7:09

    Follow how a prepared statement is typecast to VDBE, executes via an opcode switch, and moves through B-tree and pager during a select from SQLite master, including temp master.

  • Langchain models in Database methods5:27
  • Deep Learning Concepts7:33
  • Machine Learning Fundamentals4:13
  • Schema builder in Database Methods7:20

Requirements

  • You need to have a passion for learning Generative AI

Description

Step into the future of Artificial Intelligence with this comprehensive hands-on course designed to take you from the fundamentals of Generative AI to building advanced AI-powered applications. This course covers the complete ecosystem of modern AI development, including Large Language Models (LLMs), LangChain, Retrieval-Augmented Generation (RAG), Hugging Face, Vector Databases, AI Agents, Multi-Agent Systems, and real-world Agentic AI applications.

You will learn how to develop intelligent AI solutions that can understand natural language, retrieve relevant information from custom knowledge bases, automate complex workflows, and perform autonomous decision-making. Through practical projects and real-world use cases, you will gain experience building chatbots, AI assistants, document question-answering systems, autonomous agents, and enterprise-grade AI applications.

The course begins with the foundations of Generative AI and Large Language Models before moving into prompt engineering, embeddings, vector databases, and retrieval systems. You will then master LangChain for orchestrating AI workflows, implement RAG architectures for knowledge-grounded responses, and leverage Hugging Face's powerful open-source models and tools. Finally, you will explore Agentic AI concepts, tool-using agents, memory systems, planning frameworks, and multi-agent collaboration techniques.

By the end of this course, you will possess the skills required to design, build, deploy, and scale intelligent AI applications using the latest Generative AI technologies that are transforming industries worldwide. Whether you are a student, software developer, data scientist, AI enthusiast, or working professional, this course provides the practical knowledge needed to become a modern AI Engineer and create production-ready AI solutions.

Who this course is for:

  • It is for those who wish to master Generative AI from beginner to Advanced

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