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Coursera

Transformers Unleashed: Master the Architecture of Modern AI

Coursera via Coursera Professional Certificate

Overview

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Transformers Unleashed: Master the Architecture Powering Modern AI prepares you to design, optimize, and deploy transformer-based AI systems used in modern machine learning applications. In this Professional Certificate, you’ll learn how production AI systems are built end to end. You’ll begin by developing predictive models and neural networks, then optimize deep learning architectures for performance and efficiency. From there, you’ll build computer vision and natural language processing pipelines using TensorFlow and transformer architectures. As you progress, you’ll engineer scalable machine learning data pipelines, analyze model performance, and communicate AI insights that drive real-world impact. You’ll also package models into reusable Python libraries, build ML APIs, implement CI/CD workflows, and automate testing to ensure reliable model deployment. The program concludes with advanced topics in AI system architecture, including designing scalable AI infrastructure, integrating AI services into enterprise systems, and deploying machine learning models in cloud environments. By the end of the program, you’ll understand how to build, test, deploy, and scale transformer-powered AI systems that operate in production environments. This certificate is ideal for machine learning engineers, data scientists, and software developers who want to expand their expertise in modern AI systems engineering.

Syllabus

  • Course 1: Building and Optimizing AI Models
  • Course 2: Building Vision and NLP Workflows with TensorFlow pipelines
  • Course 3: ML Data Pipelines and Communicating AI Insights
  • Course 4: Production ML Engineering: Packaging, APIs, and Testing
  • Course 5: Architecting and Integrating Scalable AI Systems
  • Course 6: Advancing Your Career in AI and Machine Learning Engineering

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