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AI Python Course

AI Python Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

You will start with Python fundamentals and progress through NumPy, Pandas, and data visualisation before moving into machine learning with Scikit-Learn and deep learning with PyTorch. You will learn how to clean and engineer features from real datasets, train and evaluate models, and prevent overfitting with proven regularisation techniques. The course then covers large language models, including prompt engineering, Hugging Face Transformers, retrieval-augmented generation, and fine-tuning. You will also explore MLOps practices such as model serving, experiment tracking, and CI pipelines. By the end, you will have the skills to build, deploy, and maintain AI systems professionally.

Elevify advantages

Develop skills

  • Python for AI Pipelines: Write modular, production-ready Python code for AI workflows.
  • Machine Learning Modelling: Train, evaluate, and tune classification and regression models confidently.
  • Deep Learning with PyTorch: Build and optimise neural networks for real-world AI applications.
  • LLM Integration and Prompting: Connect, prompt, and fine-tune large language models using Python APIs.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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