Applied Generative AI & NLP with Python
Completed by Amanda Puspita Sari on November 4, 2025
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Applied Generative AI & NLP with Python
Learning objectives
- Import, clean, and manipulate data using Python libraries such as Pandas and Numpy.
- Build and evaluate machine learning models, including regression models, using scikit-learn.
- Develop and apply NLP techniques, including sentiment analysis and text summarization, using tools like Huggingface.
- Create and implement advanced AI applications, such as chatbots, using retrieval-augmented generation and prompt engineering.
Skills learned
- Exploratory Data Analysis
- Machine Learning Methods
- Large Language Modeling
- Natural Language Processing
- Applied Machine Learning
- Descriptive Statistics
- Text Mining
- Artificial Intelligence
- Predictive Modeling
- Generative AI
- Data Wrangling
- Python Programming
- Deep Learning
- Regression Analysis
- Feature Engineering
- Prompt Engineering
- Data Cleansing
- Data Manipulation
- OpenAI
- NumPy
- Data Processing
- Statistical Analysis
- Data Science
- Data Pipelines
- Databases
- Data Analysis
- Scikit Learn (Machine Learning Library)
- Pandas (Python Package)
- Skills section collapsed. Showing 8 of 28 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.