Complete Generative AI Course with LangChain and Hugging Face | Course Overview & Key Highlights (2025)
⭐ Course introduction
Complete Generative AI Course with LangChain and Hugging Face, created by Krish Naik, is a comprehensive, hands-on program designed to help developers build, deploy, and optimize production-ready Generative AI applications. Updated in December 2025, this course combines LangChain, Hugging Face, and real-world deployment strategies to bridge the gap between theory and practical AI engineering.
The course focuses on end-to-end generative AI workflows, including RAG pipelines, model customization, cloud deployment, and scalable AI system design.
Course details
- Instructor: Krish Naik
- Last updated: December 2025
- Language: English
- Duration: ~57.5 hours (57h 37m total)
- Rating: ★4.5 / 5
- Learners: 107,018+
- Price (typical sale): ~US$7–12 (varies by Udemy promotions)
- Access: Lifetime (mobile + TV)
- Certificate: Udemy Certificate of Completion included
Key highlights
- Build advanced Generative AI applications using LangChain
- Deep integration with Hugging Face pre-trained models
- Hands-on Retrieval-Augmented Generation (RAG) pipelines
- Learn real-world deployment strategies (cloud & on-prem)
- Understand AI system architecture & design patterns
- Model customization and fine-tuning workflows
- Large, project-driven course with 57+ hours of content
- Practical focus on scalability, reliability, and optimization
What you will learn
Generative AI Foundations
- Core concepts of Generative AI and modern use cases
- Differences between traditional ML and generative models
- Understanding LLM workflows for real applications
Python & Environment Setup
- Python fundamentals for AI development
- Virtual environments, Conda, and dependency management
- VS Code setup and best practices
LangChain Development
- Building generative AI pipelines with LangChain
- Prompt chaining, tools, memory, and agents
- Designing modular, maintainable AI workflows
Hugging Face Integration
- Using Hugging Face Transformers in LangChain apps
- Leveraging pre-trained NLP models
- Model customization and fine-tuning strategies
RAG (Retrieval-Augmented Generation)
- Designing retrieval pipelines for higher accuracy
- Integrating external data sources
- Improving context relevance and response quality
Deployment & Optimization
- Deploying generative AI models to cloud platforms
- On-premise deployment strategies
- Scaling, monitoring, and optimizing AI systems
Real-World Projects
- Chatbots and conversational AI systems
- Content generation applications
- Data augmentation and intelligent automation
Frequently asked questions (FAQ)
Q — Is this course beginner-friendly?
A — It’s best suited for learners with basic Python knowledge and some familiarity with AI or ML concepts.
Q — Does the course include hands-on projects?
A — Yes. The course includes real-world projects that demonstrate generative AI in practical business scenarios.
Q — Will I learn Hugging Face and LangChain together?
A — Yes. The course focuses on integrating Hugging Face models directly into LangChain workflows.
Q — Does it cover deployment?
A — Yes. Both cloud and on-prem deployment strategies are covered.
Q — Is a certificate included?
A — Yes. Udemy provides a Certificate of Completion.
Why this course is worth it
This course stands out for its depth and completeness. It doesn’t just show how to call APIs—it teaches how to design, deploy, and scale real Generative AI systems. With strong coverage of LangChain, Hugging Face, and RAG pipelines, it’s ideal for developers aiming to work on production-grade AI applications.
Final verdict
If you want a single, long-form course that takes you from Generative AI basics to real-world deployment, this course is a solid choice. It’s practical, detailed, and well-suited for developers who want to build serious AI applications using LangChain and Hugging Face.
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