Attention Mechanisms Courses and Certifications

Edureka

Introduction to LLMs and Hugging Face

Discover transformer architecture, attention mechanisms, and Hugging Face tools to build intelligent language-driven systems with hands-on LLM fine-tuning and deployment.

• Coursera
• 10 hours 34 minutes
• On-Demand
• Paid Course

Mastering Generative AI: Language Models with Transformers

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.

• edX
• 2 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

Edureka Microcredential

Building LLMs with Hugging Face and LangChain

Master building production-ready LLM applications using Hugging Face and LangChain, from core concepts through optimization and deployment with modern MLOps practices.

• Coursera
• 8 weeks, 7 hours a week
• On-Demand
• Paid Course
• 3 courses

Introduction to Transformer Models for NLP: Unit 1

Explore transformer architectures, attention mechanisms, and transfer learning with BERT and GPT models for advanced NLP applications using PyTorch.

• Coursera
• 3 hours 25 minutes
• On-Demand
• Paid Course

Microcredential

Introduction to Transformer Models for NLP

Master transformer architectures like BERT, GPT, and T5 through hands-on coding exercises. Build attention mechanisms, apply transfer learning, and fine-tune models for real-world NLP applications.

• Coursera
• 4 weeks, 5 hours a week
• On-Demand
• Paid Course
• 3 courses

Packt

Decoding Large Language Models

Unlock the architecture, training, and deployment of Large Language Models through hands-on expertise in fine-tuning, evaluation, and real-world integration strategies.

• Coursera
• 20 hours 28 minutes
• On-Demand
• Paid Course

Packt Microcredential

AI Engineer Professional

Master advanced AI engineering through model optimization, deep learning architectures, transformers, and MLOps practices for production-ready solutions.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Edureka

Neural Models and Machine Translation

Discover neural architectures like RNNs, LSTMs, and Transformers to build powerful machine translation systems and NLP applications with hands-on fine-tuning exercises.

• Coursera
• 17 hours 8 minutes
• On-Demand
• Paid Course

Board Infinity

Transformers in Action: A Practical Approach to NLP and AI

Master Transformer architectures for NLP through hands-on coding with BERT, GPT, and T5. Build real-world applications using Hugging Face tools for classification, summarization, and deployment.

• Coursera
• 22 hours 32 minutes
• On-Demand
• Paid Course

Packt

Sequence Modeling, Transformers, and Transfer Learning

Master sequence modeling, transformers, and transfer learning to build powerful NLP models using RNNs, attention mechanisms, and fine-tuning techniques for real-world applications.

• Coursera
• 9 hours 48 minutes
• On-Demand
• Paid Course

Packt

Deep Learning & Modern AI Architectures

Master cutting-edge neural networks, CNNs, RNNs, and Transformers with hands-on projects in TensorFlow, Keras, and PyTorch for real-world AI applications.

• Coursera
• 15 hours 19 minutes
• On-Demand
• Paid Course

EDUCBA

Deep Learning: Build & Optimize Neural Networks

Master neural networks from foundations to advanced applications including computer vision, NLP with transformers, and recommender systems using PyTorch and real-world projects.

• Coursera
• 17 hours 3 minutes
• On-Demand
• Paid Course

Packt

Deep Learning, NLP, and AI Applications

Explore neural networks, CNNs, RNNs, and transformers to build AI applications for image classification, NLP tasks, and real-world projects using TensorFlow and PyTorch.

• Coursera
• 18 hours 11 minutes
• On-Demand
• Paid Course

Coursera

Unify Modalities: Cross-Modal Retrieval

Master cross-modal retrieval systems that bridge text and images using FAISS, attention mechanisms, and multimodal embeddings for production-scale AI applications.

• Coursera
• 1 hour 36 minutes
• On-Demand
• Paid Course

Discover AI

The Inner Workings of Large Language Models - Visualizing Self-Attention Mechanisms

Dive into the mechanics of Large Language Models, exploring self-attention mechanisms, architectural designs, and performance optimization through clear visualizations and practical examples.

• YouTube
• 35 minutes
• On-Demand
• Free Video