GenAI Engineer Bootcamp: Build AI Apps & Agents in Python
★ 4.6 rated · $10.99
Complete Guide to Building, Deploying, and Optimizing Generative AI with Langchain and Huggingface
$11.99 with coupon (list $169.99 — save $158.00, 93% off)
Coupon Verified: September 23, 2026 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the Development skills on the syllabus match what you actually want to learn. The regular price for Complete Generative AI Course With Langchain and Huggingface on Udemy is $169.99. With the coupon code on this page, that falls to $11.99 — a saving of $158.00, or 93% off the standard rate Spread across 54h of on-demand video, that works out to roughly $0.22 per hour of content — cheaper than a single chapter of most printed Development textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Krish Naik and KRISHAI Technologies Private Limited walk you through 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, and gain hands-on experience in deploying generative AI models to various environments, including cloud platforms and on-premise servers — skills meant to be used, not just watched. It has already been taken by 151,856 students and holds a 4.5-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: 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.. Best suited to learners who already have footing in Development. Plan for roughly 54h of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from Complete Generative AI Course With Langchain and Huggingface — taken from the official Udemy syllabus for Development learners.
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.
What you need before enrolling in Complete Generative AI Course With Langchain and Huggingface — prerequisites as listed by the instructor on Udemy.
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.
The full official description of Complete Generative AI Course With Langchain and Huggingface — curriculum, teaching approach, and everything included with this Udemy coupon.
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Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on September 23, 2026.
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