CURATED LEARNING GUIDE
Start with courses whose provider level is normalized as beginner, then read the prerequisites because “beginner” can still describe different starting points.
APPROVED MATCHES
Microsoft Learn
A learning path introducing AI applications and agents using Azure and Microsoft Foundry.
Coverage helps connect AI capabilities to application use cases.
BEFORE YOU STARTBasic computing knowledge and Python experience.
Course facts checked 2026-09-07
Microsoft Learn
A beginner learning path covering Python setup, simple input and output, variables and decisions.
A short topic sequence offers a manageable starting point.
BEFORE YOU STARTCheck the provider’s recommended experience before enrolling.
Course facts checked 2026-09-07
Microsoft Learn
A beginner learning path connecting relational database concepts with Azure database services.
Links database fundamentals with concrete cloud-service choices.
BEFORE YOU STARTNo prerequisites are listed by the provider.
Course facts checked 2026-09-07
Coursera
An introductory course from DeepLearning.AI and Stanford Online, focusing on prediction and classification with Python.
Pairs core modelling ideas with Python practice.
BEFORE YOU STARTCheck the provider’s recommended experience before enrolling.
Course facts checked 2026-09-07
DataCamp
An introduction to Python for data work, combining short videos with interactive exercises.
Immediate exercises offer opportunities to practise small concepts.
BEFORE YOU STARTNo prior Python or coding experience is required.
Course facts checked 2026-09-07
Coursera
Continue the Machine Learning Specialization with neural networks, model evaluation and tree-based methods.
Comparing neural networks with tree methods helps broaden model-selection decisions.
BEFORE YOU STARTEditorial recommendation: study regression and classification first, then check the provider’s recommended experience.
Course facts checked 2026-09-07
Coursera
Explore clustering, recommendation systems and reinforcement learning in the third course of the Machine Learning Specialization.
The sequence introduces several ways to learn beyond labelled prediction tasks.
BEFORE YOU STARTEditorial recommendation: take the earlier Machine Learning Specialization courses or review their topics first.
Course facts checked 2026-09-07
DataCamp
Learn how relational tables are organised and write first queries to retrieve and shape data.
A focused introduction can be a manageable way to test your interest before a longer SQL course.
BEFORE YOU STARTNo prerequisites, according to the provider.
Course facts checked 2026-09-07
DataCamp
Extend basic Python into plotting, tabular data, filtering, loops and simulation.
Moving from lists to tables and plots can help bridge programming basics and data analysis.
BEFORE YOU STARTDataCamp lists Introduction to Python as the prerequisite.
Course facts checked 2026-09-07
Open each overview for prerequisites, practice, access details, limitations and the official source.
