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Learn Transformer Machine Learning Model online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
IBM
Become proficient with tensor operations in PyTorch. Learn how to build and train linear regression models from scratch, apply logistic regression for classification tasks, and handle data efficiently while optimizing models using gradient descent techniques.
Coursera
Production ML Engineering: Packaging, APIs, and Testing focuses on transforming machine learning models into reliable production systems. In this course, you will learn how to package, deploy, document, and test machine learning applications so they can operate reliably in real-world environments.…
IBM
This course focuses on the core concepts and models of generative AI, including deep learning and large language models. It covers the concept of foundation models and the capabilities of pre-trained models and platforms for AI application development.
The Georgia Institute of Technology
Learn the foundations of generative AI — how it works, why it matters, and how to move beyond basic use into practical integration through our artificial intelligence online course. This course provides an accessible but comprehensive introduction to the world of generative artificial intelligence.…
IBM
Build in-demand, job-ready generative AI architecture and data science skills in two weeks. A basic knowledge of Python and PyTorch and an awareness of machine learning and neural networks would be an advantage, though not strictly required.
IBM
Build advanced, job-ready skills in fine-tuning using Hugging Face, reinforcement learning using proximal preference optimization (PPO), and optimal solutions for direct preference optimization (DPO).
IBM
Build job-ready skills in NLP based applications using GPT and BERT in just 2 weeks! Add sought-after skills employers are looking for to your resume and power up your AI career.
IBM
Gain job-ready AI engineering skills for working with transformers, LLM frameworks, and GPT, and learn how to fine-tune models using Hugging Face and PyTorch.
RWTH Aachen University
"Deep Learning" gives an overview of the basic types of neural networks and how to train them. Starting with Multi-Layer Perceptrons (MLPs), the course covers the most important training tricks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), as well as Transformers, and giv…
Google Cloud
This course introduces the products and solutions to solve Natural Language Processing (NLP) problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
Microsoft
Master advanced ML algorithms, deep transfer learning (Transformers and CNNs), unsupervised clustering, automated hyperparameter optimisation, and Responsible AI explainability, all within Azure Machine Learning.
HP
Master the architectures powering modern AI — neural networks, computer vision, NLP, Transformers, LLMs, and Generative AI. Course 2 of the HP AI Foundations, Practice, and Leadership programme. Designed for learners at any stage. Get a free verified certificate with referral code 6FJGJOTX7MFH5M2H
Pragmatic AI Labs
Unlock Open Source AI: Dive into LLM Architectures, Fine-Tuning, and Cutting-Edge Deployments.
