Overview
The Generative AI (Gen AI) market is anticipated to grow by 46% yearly until 2030 (Source: Statista). As a result, Gen AI engineers are in high demand. This program equips aspiring data scientists, machine learning engineers, and AI developers with vital skills in Gen AI, large language models (LLMs), and natural language processing (NLP) that employers seek.
Gen AI engineers specialize in designing systems that comprehend human language. They utilize LLMs and machine learning to construct these sophisticated systems. Throughout this program, participants will develop skills to build applications using frameworks and pre-trained foundation models such as BERT, GPT, and LLaMA.
You will leverage the Hugging Face transformers library, PyTorch deep learning library, RAG, and LangChain framework to create and deploy LLM NLP-based applications. The program covers key topics like tokenization, data loaders, language and embedding models, transformer techniques, attention mechanisms, and prompt engineering.
In addition to theoretical knowledge, the program includes practical experience through hands-on labs and a capstone project, which is beneficial for interviews. This specialization is ideal for acquiring job-ready skills that Gen AI engineers, machine learning engineers, data scientists, and AI developers need.
Prerequisites for this program include a working knowledge of Python, machine learning, and neural networks; familiarity with PyTorch is also helpful.
University: Provider: Coursera
Categories: Machine Learning Courses, Generative AI Courses, PyTorch Courses, BERT Courses, LangChain Courses, Hugging Face Courses, Retrieval Augmented Generation (RAG) Courses
