Advanced Model Architectures & Language AI

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Advanced Model Architectures & Language AI

Coursera · Advanced ·📐 ML Fundamentals ·1h ago
Take your data analysis skills to the next level by building, evaluating, and deploying the advanced models that power real-world AI systems. In this course, you'll work with decision trees, ensemble methods, neural networks, large language models, and conversational AI — integrating techniques that data professionals use to solve complex, production-grade problems. You'll move from training and pruning tree-based models to quantifying ensemble lift, from diagnosing overfitting in neural networks to fine-tuning LLMs on domain-specific data. You'll also build a retrieval-augmented chatbot and evaluate NLP pipelines end to end. By the end, you'll be able to recommend deployment-ready solutions, communicate model decisions to stakeholders, and demonstrate the breadth of skills that employers look for in intermediate-to-advanced data analyst and machine learning roles.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Predicting the Unpredictable: How I Built an AI-Driven Insurance Pricing Engine with 89% Accuracy
Learn how to build an AI-driven insurance pricing engine with 89% accuracy using exploratory data analysis, statistical hypothesis testing, and machine learning deployment
Medium · Machine Learning
Predicting the Unpredictable: How I Built an AI-Driven Insurance Pricing Engine with 89% Accuracy
Learn how to build an AI-driven insurance pricing engine with 89% accuracy using exploratory data analysis, statistical hypothesis testing, and machine learning deployment
Medium · Data Science
Predicting the Unpredictable: How I Built an AI-Driven Insurance Pricing Engine with 89% Accuracy
Learn how to build an AI-driven insurance pricing engine with high accuracy using Python
Medium · Python
Servindo modelos de ML em produção: FastAPI + Docker + AWS Lambda
Learn to serve ML models in production using FastAPI, Docker, and AWS Lambda for scalable and efficient deployment
Medium · Python
Up next
Are Python Dataclasses Always the Right Choice?
Real Python
Watch →