
Advanced Model Architectures & Language AI

Advanced Model Architectures & Language AI
This course is part of AI-Powered Decision Intelligence: Data to Strategic Insights Specialization

Instructor: Professionals from the Industry
Access provided by Universidade Estadual de Campinas
Intermediate level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Build and evaluate ensemble methods including bagging, boosting, and stacking using Python and scikit-learn.
Develop and regularize feed-forward neural networks using Keras and PyTorch to meet validation loss targets.
Create automated data-to-text pipelines using SQL, Python, and LLM APIs to generate business narrative summaries.
Build RAG-powered chatbots and apply NLP techniques including NER and text vectorization using spaCy and HuggingFace.
Skills you'll gain
- Decision Tree Learning
- Classification And Regression Tree (CART)
- Large Language Modeling
- Machine Learning
- Random Forest Algorithm
- Model Training
- Retrieval-Augmented Generation
- MLOps (Machine Learning Operations)
- Fine-tuning
- Applied Machine Learning
- Data Analysis
- Deep Learning
- Text Mining
- LLM Application
- Model Evaluation
- Machine Learning Methods
Details to know

Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
April 2026
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Build your subject-matter expertise
This course is part of the AI-Powered Decision Intelligence: Data to Strategic Insights Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

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