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Generative AI & Large Language Models with PyTorch & LangChain

Harness modern GenAI, Transformer models, RAG architectures, and fine-tuning with PyTorch, OpenAI, and LangChain.

Best Seller
4.9
(215 ratings)980 students
Last updated 8/2026
English
English [Auto], Subtitles
Certificate Included
Generative AI & Large Language Models with PyTorch & LangChain
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What you'll learn

Master core fundamentals and practical concepts of Generative AI & Large Language Models with PyTorch & LangChain

Build real-world projects and production-grade architectures in Artificial Intelligence & Data Science

Gain hands-on problem-solving techniques and industry best practices

Earn verified completion credentials to boost your portfolio and career

Course content

3 sections7 lectures • 3.3 Hours total length
Attention Is All You Need: Mathematical Breakdown
28:20
Building a Multi-Head Attention Layer from Scratch
35:00

Requirements

  • Solid foundation and previous experience in Artificial Intelligence & Data Science
  • A computer with modern web browser and active internet connection
  • Commitment to follow practical exercises and build the project assignments

Description

Dive deep into modern machine learning and generative artificial intelligence. Learn how Transformers work from mathematical principles to fine-tuning Llama 3, building vector search indexes with Pinecone, and deploying autonomous AI agents.

Instructor

Prof. Elena RostovaMentor (elena.rostova@skillsync.io)
Prof. Elena Rostova
4.9 Instructor Rating
215 Reviews
980 Students
1 Course

Prof. Elena Rostova is a verified Mentor (elena.rostova@skillsync.io) on our platform.

Student feedback

1 verified ratings & student experiences
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Sarah Jenkins
Sarah Jenkins
Aug 26, 2026

Elena explains the complex mathematics of attention mechanisms and Transformer layers with unbelievable clarity. The hands-on RAG vector pipeline projects are worth ten times the price.

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$99.99$149.99

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