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Artificial Intelligence
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Udemy

Complete Generative AI with Langchain and Huggingface

  • up to 4 weeks
  • Intermediate

Unlock the full potential of Generative AI with our comprehensive course. This course is designed to take you from the basics to advanced concepts, providing hands-on experience in building, deploying, and optimizing AI models using Langchain and Huggingface. Perfect for AI enthusiasts, developers, and professionals, this course offers a practical approach to mastering Generative AI.

  • Generative AI
  • Langchain Framework
  • Huggingface Models
  • AI Deployment
  • RAG Pipelines

Overview

This course provides a detailed exploration of generative AI, focusing on the integration of Langchain and Huggingface models. Participants will learn to create advanced AI applications, understand architecture and design patterns, and gain hands-on experience in deploying models across various environments. The course covers deployment strategies, RAG pipelines, and model optimization, ensuring learners can build scalable and reliable AI systems.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

AI and Machine Learning Enthusiasts

Individuals passionate about AI and ML who want to expand their knowledge and skills in generative AI applications.

Professionals

Professionals looking to enhance their expertise in building and deploying generative AI models, particularly using Langchain and Huggingface.

Developers

Developers interested in integrating advanced AI capabilities into their applications and learning about the deployment and optimization of AI models.

This course offers a comprehensive understanding of generative AI, focusing on Langchain and Huggingface. Ideal for AI enthusiasts and professionals, it provides practical skills for building and deploying advanced AI models, enhancing career prospects in the tech industry.

Pre-Requisites

1 / 3

  • Familiarity with Python programming language, including basic syntax, data structures, and functions.

  • Basic understanding of machine learning concepts, including supervised and unsupervised learning, and fundamental AI principles.

  • Understanding of APIs and how to interact with them, as the course will involve integrating various APIs for model deployment and usage.

What will you learn?

Introduction to Generative AI
Understand the fundamentals of Generative AI and its applications. Explore the differences between traditional AI models and generative models.
Getting Started with Langchain
Learn the basics of Langchain and its role in AI development. Set up your development environment and tools.
Huggingface Integration
Integrate Huggingface's state-of-the-art models into your Langchain projects. Customize and fine-tune Huggingface models for specific applications.
Building Generative AI Applications
Step-by-step tutorials on creating advanced generative AI applications. Real-world projects such as chatbots, content generators, and data augmentation tools.
Deployment Strategies
Learn various deployment strategies for AI models. Deploy your models to cloud platforms and on-premise servers for scalability and reliability.
RAG Pipelines
Develop Retrieval-Augmented Generation (RAG) pipelines to enhance AI performance. Combine generative models with retrieval systems for improved information access.
Optimizing AI Models
Techniques for monitoring and optimizing deployed AI models. Best practices for maintaining and updating AI systems.
End-to-End Projects
Hands-on projects that provide real-world experience. Build, deploy, and optimize AI applications from scratch.

Meet your instructor

  • Krish Naik

    Youtuber (1 Million+ Subscribers), Udemy

    Krish Naik is a Youtuber with over 1 million subscribers. He has over 9 years of experience in software development and project implementation, and over 6 years of experience as a lead data scientist.

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€9.99