AI Engineering with Python
Build intelligent applications with machine learning and AI.
AI Engineering is not about using chatbots — it is about building systems that leverage machine learning and AI to solve real problems. In this course, you will learn the Python data ecosystem, train and evaluate models, work with large language models, and deploy AI services that are reliable, scalable, and production-ready.
Intermediate
14 weeks
Self-paced with project reviews
5 projects
What you'll learn
The practical skills you will gain by completing this course.
Manipulate and analyse data with NumPy and Pandas
Build and train machine learning models with scikit-learn
Understand neural networks and deep learning with PyTorch
Work with large language models and prompt engineering
Build AI-powered applications with LangChain
Create REST APIs for AI services with FastAPI
Evaluate model performance and prevent overfitting
Deploy AI services to production
Course curriculum
A structured progression through 6 modules, each building on the last.
Build real projects
Every module includes hands-on projects. By the end, you will have a portfolio of real software.
Data Analysis Dashboard
Build an end-to-end data analysis pipeline that cleans, processes, and visualises a real dataset.
Spam Classifier
Train and deploy a machine learning model that classifies messages as spam or legitimate.
Image Recognition Model
Build a neural network with PyTorch that classifies images and deploy it as an API.
RAG Knowledge Base
Build a retrieval-augmented generation system that answers questions from a document collection.
Final Project: AI-Powered Application
Final Project: AI-Powered Application
Design and build a complete AI-powered application — from data pipeline to model to deployed service — that solves a real-world problem.
Skills demonstrated
You don't just watch lessons. You build software.
Find out if this is the right fit
Perfect for
- Developers with basic programming skills
- Self-taught programmers ready to level up
- Bootcamp grads wanting deeper knowledge
- Developers moving to a new stack
You'll need
- Intermediate Python programming skills
- Basic understanding of linear algebra and statistics
- Completion of Software Engineering Foundation recommended
Learn by building.
The CodersCode method — four pillars that run through every course.
Learn
Understand the core concepts through clear, practical lessons.
Build
Apply every concept to real projects and write real code.
Debug
Learn to solve problems systematically with testing.
Ship
Deploy your software to production with confidence.
Enroll Now
Interested in AI Engineering with Python? Share your details and we will get back to you with next steps.
Frequently asked questions
Everything you need to know before enrolling.
Ready to start building?
Start your journey with CodersCode. Enrol in AI Engineering with Python today.