Transformer Models Courses and Certifications

Transformer Models and BERT Model - Deutsch

Erlernen Sie die Transformer-Architektur und das BERT-Modell, einschließlich Selbstaufmerksamkeit und Anwendungen wie Textklassifizierung und Frage-Antwort-Systeme.

• Coursera
• 48 minutes
• Self-Paced
• Paid Course

Applied Information Extraction in Python

Master information extraction from free-text data using Python, from regex patterns to neural networks and Transformer models like ChatGPT for real-world applications.

• Coursera
• 1 day 50 minutes
• Self-Paced
• Paid Course

Transformer Models and BERT Model

1 rating

Explore Transformer architecture and BERT model, learning key components like self-attention and applications in text classification, question answering, and natural language inference.

• Google Skills
• 30 minutes
• Self-Paced
• Free Online Course

Advances in Generative AI

Explore how generative AI evolves into autonomous, goal-driven systems. Learn to evaluate, orchestrate, and responsibly deploy AI agents, multi-model workflows, and emerging research in real-world applications.

• Coursera
• 9 hours
• Self-Paced
• Paid Course

Modern Natural Language Processing in Python

1832 ratings at Udemy

Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab

• Udemy
• 5 hours 48 minutes
• Self-Paced
• Paid Course

Intro to Natural Language Processing (NLP) in Python for AI

1826 ratings at Udemy

Learn the NLP Technology Behind AI Tools Like ChatGPT: Understanding, Generating, and Classifying Human Language

• Udemy
• 3 hours 41 minutes
• Self-Paced
• Paid Course

Generative Pre-trained Transformers (GPT)

34 ratings at Coursera

Explore the fundamentals of natural language processing and language modeling, focusing on Transformer-based models like GPT. Gain hands-on experience with Python exercises and discuss ethical implications.

• Coursera
• 12 hours 40 minutes
• Self-Paced
• Paid Course

Edureka Career Certificate

Generative AI for Automation

23 ratings at Coursera

Master generative AI fundamentals, prompt engineering, and automation tools to build intelligent workflows and conversational agents for enterprise solutions.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course

Career Certificate

Microsoft Generative AI Engineering

22 ratings at Coursera

Master generative AI engineering with Azure tools, building and fine-tuning LLMs, GANs, and transformer models while implementing MLOps and responsible AI practices.

• Coursera
• 12 weeks, 8 hours/week
• Self-Paced
• Paid Course
• 5 courses

Coursera Career Certificate

Deep Learning Engineering

Master production-scale deep learning systems through TensorBoard diagnostics, PyTorch optimization, transformer fine-tuning, and GPU deployment with containerized infrastructure.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera Career Certificate

Multimodal Intelligence - Vision, Audio & Language in Action

Master multimodal AI by processing vision, audio, and text data, fine-tuning transformers, building ETL pipelines, and deploying production-ready inference services on Kubernetes with CI/CD.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Coursera Career Certificate

Vision & Audio AI Systems

Master production-ready AI systems that unify visual and audio data through advanced multimodal techniques, ETL pipelines, fusion algorithms, and transformer fine-tuning.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 2 courses

Coursera

Architect AI Solutions: From Needs to Models

Master the art of translating business goals into scalable AI architectures, integrating APIs, vector databases, and orchestration layers while balancing accuracy, cost, and performance.

• Coursera
• 1 hour 56 minutes
• Self-Paced
• Paid Course

Coursera

Develop Production-Ready ML APIs with MLOps

Master MLOps practices—version control, CI/CD pipelines, and FastAPI microservices—to build and deploy production-ready ML APIs that serve transformer models at scale.

• Coursera
• 2 hours 33 minutes
• Self-Paced
• Paid Course

Coursera

Advancing Your Career in AI and Machine Learning Engineering

Unlock strategies to advance your AI and ML engineering career, from building a portfolio and resume to navigating interviews and exploring roles in MLOps, AI systems, and applied machine learning.

• Coursera
• 14 minutes
• Self-Paced
• Paid Course