LLM Architecture and Data Preparation for Generative AI

Understand the core structures of large language models and learn the essential data engineering techniques required to build modern AI systems.

4.7 (423) ⏱ 1 oras 49 min 📚 3 aralin 🎧 Audio version

Tungkol sa kursong ito

Large language models are reshaping the technological landscape, but the secret to their success lies in their internal design and the quality of the data they consume. This course provides a clear, text-based path for anyone looking to understand how these complex systems are built and how to prepare information for AI processing. You will move from foundational concepts to the practical logic behind the most advanced models used today. By the end of this course, you will have a solid grasp of the architectural choices that define generative AI and the data pipelines that make them functional. You will be able to explain how models learn patterns and what steps are necessary to ensure data is ready for training or fine-tuning. What you'll learn: - Understand the evolution from basic neural networks to modern Transformer-based architectures. - Learn the mechanics of self-attention and how models process and generate human-like text. - Practice data cleaning, normalization, and tokenization techniques for large-scale datasets. - Explore the role of vector databases and retrieval-augmented generation (RAG) in current AI workflows. - Differentiate between various model types, including GANs, RNNs, and diffusion models. - Apply prompt engineering basics to better control and refine model outputs. The course begins with a thorough introduction to AI terminology and the history of sequence modeling before moving into the specifics of modern model design and data preparation strategies. This structured approach ensures you build a strong theoretical foundation before exploring how these systems are implemented in real-world scenarios. This course is designed for beginners, data enthusiasts, and aspiring engineers who want to understand the inner workings of generative AI without needing prior experience in the field. Start building your foundational knowledge of generative AI architecture today.

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  • 📱 Telepono o computer
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  • Maikli at focused
    1 oras 49 min ng practical content

Mga review (9)

طارق DZ Verified learner
★ 4 · 2025-12-19T11:46:03+00:00

It's a solid course. The structure is logical and most of the examples were helpful. Could use a few more real-world scenarios though.

Sofia Dimitriou GR Verified learner
★ 4 · 2025-12-14T22:05:03+00:00

Learned a ton and the structure made it easy to follow along. Loved the practical application examples they provided.

Molnár László HU Verified learner
★ 5 · 2025-11-28T10:49:03+00:00

This course exceeded my expectations! The examples were super relevant and helped solidify the concepts. Highly enjoyable.

Segun Olatunji NG Verified learner
★ 4 · 2025-11-19T17:04:03+00:00

It's a good course if you have some prior knowledge. For absolute beginners, some concepts might be a bit challenging. The structure is logical, though.

Emi Ito KE
★ 4 · 2025-09-30T15:28:03+00:00

Exceeded my expectations! The structure was logical, and the real-world scenarios really helped cement the learning. Great value.

خالد عبد العزيز EG Verified learner
★ 4 · 2025-07-09T19:12:03+00:00

This was a brilliant way to learn! The structure was logical, the pace was spot on, and the examples were super helpful. Highly recommend!

حسن DZ
★ 4 · 2025-07-04T00:03:03+00:00

Fantastic resource. I learned so much, and the examples used were super helpful in understanding the concepts. Highly recommend.

Santiago Pérez MX Verified learner
★ 4 · 2025-05-01T13:34:03+00:00

A truly excellent learning experience. The flow was logical and the examples were super helpful.

Evelin Paju EE Verified learner
★ 5 · 2025-01-18T18:31:03+00:00

Valuable content, well-structured. Some of the examples were a bit abstract, but overall a good learning experience.

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