All current PyTorch Courses courses in 2024
58 Courses
Fundamentals of AI Agents Using RAG and LangChain
Fundamentals of AI Agents Using RAG and LangChain | Coursera
Business demand for technical gen AI skills is exploding, with AI engineers skilled in working with large language models (LLMs) being highly sought after. This Fundamentals of AI Agents using RAG and LangChain course prepares you with job-ready skills to advance your AI career.
In t.
Introduction to RNN and DNN
Introduction to RNN and DNN
Artificial Intelligence is transforming industries by enabling machines to learn from data and make intelligent decisions. This course offers an in-depth exploration of Recurrent Neural Networks (RNN) and Deep Neural Networks (DNN), two pivotal AI technologies. You’ll start with the basics of RNNs and.
RNN Architecture and Sentiment Classification
Title: RNN Architecture and Sentiment Classification
Description: Artificial Intelligence is revolutionizing data analysis. This course delves into Recurrent Neural Networks (RNNs), starting with basic memory models and advancing to deep RNN structures. You'll explore RNN models like ManyToMany, ManyToOne, and OneToMany through practical exerci.
Mastering Neural Networks and Model Regularization
Mastering Neural Networks and Model Regularization
The course "Mastering Neural Networks and Model Regularization" dives deep into the fundamentals and advanced techniques of neural networks, from understanding perceptron-based models to implementing cutting-edge convolutional neural networks (CNNs). This course offers hands-on experience with r.
Foundations and Core Concepts of PyTorch
Foundations and Core Concepts of PyTorch
In this comprehensive course, you'll embark on a journey through the foundational elements and core concepts of PyTorch, one of the most popular deep learning frameworks. Starting with a detailed overview and system setup, you'll be guided through installing and configuring your environment t.
Generative AI Engineering with LLMs
Generative AI Engineering with LLMs
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 natu.
Gen AI Foundational Models for NLP & Language Understanding
Gen AI Foundational Models for NLP & Language Understanding
This IBM course will teach you how to implement, train, and evaluate generative AI models for natural language processing (NLP). The course covers a variety of NLP applications including document classification, language modeling, and language translation. Learn the fundamentals of buil.
Implement Named Entity Recognition with BERT
In this course, you'll learn about the state-of-the-art transformer technique called BERT, how to tag respective news domain entities to classify information, and how to get relevant insights about geo-political news using a deep learning library. Classifying information into multiple domain entities is crucial for an enterprise to garner key i.
