Before you sign up
Suits developers and data scientists with Python and Jupyter skills who want a long, structured route into machine learning and deep learning engineering. IBM rates it intermediate and recommends its Data Science or Applied AI certificates first. The main caveat is length and cost: Coursera estimates 4 months at 10 hours a week, it needs a subscription, and no price is shown. A free alternative is Practical Deep Learning for Coders from fast.ai.
What you'll learn
IBM's 13-course Professional Certificate on Coursera for data scientists, ML engineers and software engineers. It covers machine learning with SciPy and scikit-learn, Apache Spark pipelines, deep learning with Keras, PyTorch and TensorFlow, computer vision, NLP, and LLM and RAG applications with Hugging Face and LangChain, through labs and projects.
More courses on machine learning.
Who it's for
Developers and engineers, Data scientists and analysts.
Level: intermediate (as stated by the provider). Delivery: online, self-paced.
Prerequisites
Working knowledge of Python and Jupyter Notebooks; high school mathematics or maths for machine learning; IBM highly recommends the IBM Data Science or IBM Applied AI Professional Certificate first
How much does IBM AI Engineering Professional Certificate cost?
Paid subscription. Price not recorded yet. Coursera subscription; financial aid available.
Certificate: professional certificate. IBM Professional Certificate (Coursera).
Questions people ask
How much does this course cost?
Paid subscription. Price not recorded yet.
Is there a certificate?
Yes: professional certificate. The provider calls it "IBM Professional Certificate (Coursera)".
Do I need experience first?
It's an intermediate course. Prerequisites: Working knowledge of Python and Jupyter Notebooks; high school mathematics or maths for machine learning; IBM highly recommends the IBM Data Science or IBM Applied AI Professional Certificate first.
When does it start?
Start any time.