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Data Science And Artificial Intelligence Course

Data Science And Artificial Intelligence Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

You will build a complete, job-ready skill set spanning the entire data science and AI workflow. Starting with Python, statistics, and exploratory data analysis, you will progress through machine learning algorithms, feature engineering, and model evaluation. You will implement deep learning architectures including CNNs, LSTMs, and transformers, then apply them to real NLP and computer vision problems. You will work with large language models, prompt engineering, and retrieval-augmented generation. Finally, you will learn to deploy, monitor, and scale models using Docker, FastAPI, and cloud platforms.

Elevify advantages

Develop skills

  • Machine Learning Model Building: Train, evaluate, and tune supervised and unsupervised models using scikit-learn.
  • Deep Learning and Neural Networks: Design and optimise CNNs, RNNs, and transformer-based architectures with TensorFlow and PyTorch.
  • AI Application Development: Integrate large language models, NLP pipelines, and computer vision systems into production applications.
  • ML Deployment and MLOps: Package, containerise, monitor, and maintain machine learning models in cloud production environments.

Suggested summary

Before starting, you can change the chapters and 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 my interest without needing to change platforms... I thank you 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, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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