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edXGenerative AI Engineering
45k studentsBEGINNEREnglish
Korshub's take
From Foundations to Deployable Models in 6 Months
This isn't theory-first. You're building and shipping generative AI applications from week one using Python (Flask, SciPy, Scikit-Learn, PyTorch). Machine learning and deep learning become concrete: you implement transformers, fine-tune LLMs, and deploy chatbots and agents.
The Tools That Matter
BERT, GPT, RAG frameworks, LangChain—you'll understand what each does and when to use it. Prompt engineering and model training are practiced skills here, not abstract concepts. By the end, you're job-ready for generative AI roles employers actually need filled.
About this course
Job-ready gen AI engineering skills employers are crying out for, including machine learning, deep learning, NLP apps, and large language models in just 6 months. ,How to build and deploy generative AI applications, agents, and chatbots using Python libraries like Flask, SciPy and ScikitLearn, Keras, and PyTorch. ,Key gen AI architectures and NLP models, and how to apply techniques like prompt engineering, model training, and fine-tuning. ,How to apply transformers like BERT and LLMs like GPT for NLP tasks, with frameworks like RAG and LangChain.
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