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AI Engineering: Build & Deploy ML Models

AI & Tech · Self-paced course

AI Engineering: Build & Deploy ML Models

Learn to build, evaluate and deploy machine learning models with Python, from feature engineering to serving and monitoring.

$97

One-time payment · Self-paced course · 6 modules · 12 lessons

Enroll now — $97Read a free preview lesson

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Photo by Juanjo Jaramillo on Unsplash

What this is

Go beyond theory — build real machine learning models and deploy them into production using Python, scikit-learn, and cloud ML platforms.

You will need basic Python. The course does not award a certification or promise a machine learning job, and cloud services mentioned may cost money to use.

What you will be able to do

  • Supervised and unsupervised learning algorithms
  • Feature engineering, model selection, and hyperparameter tuning
  • Model evaluation: accuracy, precision, recall, F1, ROC-AUC
  • Deploying models as REST APIs with FastAPI and Flask
  • Model packaging with Docker and serving on AWS SageMaker
  • Monitoring model drift and retraining pipelines

The curriculum

Module 1

Learning algorithms

  1. Supervised learningFree preview
  2. Unsupervised learning
Module 2

Building a model

  1. Feature engineering
  2. Model selection and tuning
Module 3

Evaluation

  1. Accuracy, precision and recall
  2. F1 and ROC-AUC
Module 4

Serving as an API

  1. FastAPI basics
  2. Flask alternative
Module 5

Packaging and cloud

  1. Docker for models
  2. Managed serving options
Module 6

Monitoring

  1. Detecting drift
  2. Retraining pipelines
A computer screen with a bunch of data on it
Photo by 1981 Digital on Unsplash

This is for you if…

  • You know some Python and want to move into practical ML
  • You have built notebooks but never deployed a model
  • You want to understand evaluation metrics properly
  • You want a full path from data to a running API

What you get

  • Lifetime access to all 12 lessons across 6 modules
  • Self-paced lessons you can start, pause and revisit on any device
  • A practical action step in each module to apply what you learn
  • A free preview lesson so you can check the approach before you buy
  • Coverage by our 30-day refund policy if the course is not right for you

Questions

Do I get a certification, licence or credential?

No. This course does not award any certification, licence or professional credential, and it is not accredited by any body. It is an educational course only.

Do I need any experience?

No formal experience is required unless noted above. Read the free preview lesson and the ‘This is for you if…’ list to check the level is right for you.

How do I get access?

Checkout is handled securely by Stripe. Access details are sent to the email address you use at checkout.

How long do I have access?

Access does not expire. The course is self-paced, so you can work through it on your own schedule.

What if it isn’t right for me?

Purchases are covered by our refund policy. Please read it before buying.

Start AI Engineering: Build & Deploy ML Models today

$97 · one-time payment

Enroll now — $97

Educational content only. No income, revenue or earnings results are promised or implied, and results depend on your own effort and circumstances. Skills Learning Hub is an independent education provider; this course is not accredited and does not award a certification, licence or professional credential.

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