Complete Generative AI Course With Langchain and Huggingface
Last updated on October 27, 2026 5:38 pmComplete Generative AI Course With Langchain and Huggingface
★★★★★
$479.00 in stock
Udemy.com
as of November 6, 2026 2:35 am
Complete Guide to Building, Deploying, and Optimizing Generative AI with Langchain and Huggingface
Created by:
Krish Naik
Chief AI Engineer
Chief AI Engineer
Created by:
KRISHAI Technologies Private Limited
Artificial intelligence and machine learning engineer
Artificial intelligence and machine learning engineer
Rating:4.58 (7268reviews)
55993students enrolled
What Will I Learn?
- Learn to create advanced generative AI applications leveraging the Langchain framework and Huggingface's state-of-the-art models.
- Understand the architecture and design patterns for building robust generative AI systems.
- Gain hands-on experience in deploying generative AI models to various environments, including cloud platforms and on-premise servers.
- Explore different deployment strategies, ensuring scalability and reliability of AI applications.
- Develop Retrieval-Augmented Generation (RAG) pipelines to enhance the performance and accuracy of generative models by integrating retrieval mechanisms.
- Learn to seamlessly incorporate Huggingface's pre-trained models into Langchain applications, leveraging their powerful NLP capabilities.
- Customize and fine-tune Huggingface models to fit specific application requirements and use cases.
- Work on real-world projects that illustrate the application of generative AI in various domains, such as chatbots, content generation, and data augmentation.
Requirements
- 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.
- Basic knowledge of deep learning concepts and frameworks (e.g., TensorFlow or PyTorch) is advantageous but not strictly required.
- Understanding of APIs and how to interact with them, as the course will involve integrating various APIs for model deployment and usage.
- Ability to navigate and execute commands in a command line interface (CLI) or terminal.
Target audience
- Individuals passionate about AI and ML who want to expand their knowledge and skills in generative AI applications.
- Professionals looking to enhance their expertise in building and deploying generative AI models, particularly using Langchain and Huggingface.
- Developers interested in integrating advanced AI capabilities into their applications and learning about the deployment and optimization of AI models.


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