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Generative AI Engineering with LLMs

The Gen AI market is expected to grow 46% . yearly till 2030 (Source: Statista). Gen AI engineers are high in demand. This program gives aspiring data scientists, machine learning engineers, and AI developers essential skills in Gen AI, large language models (LLMs), and natural language processing (NLP) employers need. Gen AI engineers design systems that understand human language. They use LLMs and machine learning to build these systems. During this program, you will develop skills to build apps using frameworks and pre-trained foundation models such as BERT, GPT, and LLaMA. You’ll use the Hugging Face transformers library, PyTorch deep learning library, RAG and LangChain framework to develop and deploy LLM NLP-based apps. Plus, you’ll explore tokenization, data loaders, language and embedding models, transformer techniques, attention mechanisms, and prompt engineering. Through the series of short-courses in this specialization, you’ll also gain practical experience through hands-on labs and a project, which is great for interviews. This program is ideal for gaining job-ready skills that GenAI engineers, machine learning engineers, data scientists and AI developers require. Note, you need a working knowledge of Python, machine learning, and neural networks.. Exposure to PyTorch is helpful.

Status: Prompt Patterns
Status: Tool Calling
IntermediateSpecialization

Top reviews across Generative AI Engineering with LLMs

JR

Reviewed Feb 28, 2025

Was waiting for a course like this for a long time. Very happy with it. Library installation on labs seems a bit slow

PG

Reviewed Oct 26, 2025

The lab materials are very complicated could be made abstract using tensorflow.

RR

Reviewed Oct 10, 2024

Once again, great content and not that great documentation (printable cheatsheets, no slides, etc). Documentation is essential to review a course content in the future. Alas!

AE

Reviewed Jan 1, 2025

The course is good but lacks depth on complex subjects.

SG

Reviewed Aug 20, 2025

An excellent course with a wealth of high-quality material, featuring highly informative lessons such as DPO and PPO.

AM

Reviewed Mar 14, 2025

The robotic voice of the reader made the experience a little fake, but the content was interesting

HA

Reviewed Aug 18, 2025

Simply great! Learnt a lot and also enjoyed the labs!

AS

Reviewed Jul 31, 2025

gives a clear overview on genai - basics specifically tokenization, & data loader concepts

SG

Reviewed Mar 25, 2025

Super course,.. labs are too good to learn and challenging too.

PA

Reviewed Nov 4, 2025

Excellent course to understand about AI/ML/GenAI. The videos are not very detailed and just the right amount to skim through the details.

RK

Reviewed Jan 16, 2025

The labs all too often failed on environment issues - packages, version alignment, etc. This should be seamless in your controlled environment.

AV

Reviewed Mar 10, 2025

Very Informative – Covers advanced fine-tuning techniques in a clear and structured way

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Course: Generative AI and LLMs: Architecture and Data Preparation
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Reviewed Dec 9, 2024Course: Generative AI and LLMs: Architecture and Data Preparation
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Course: Generative AI and LLMs: Architecture and Data Preparation
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Course: Generative AI and LLMs: Architecture and Data Preparation
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