AI & Machine Learning

Machine Learning & AI Diploma (with Python Basics)

This diploma builds you into an AI practitioner, starting from Python basics so no prior coding is assumed. You'll learn data handling, core machine-learning algorithms, model training and evaluation, and build a complete AI project. Over three to four months it takes you from beginner to genuinely capable in ML and AI.

Duration: 3-4 Months
Format: Live 1-on-1
Level: Professional
Certificate: Osian NSDC

Overview

What this course is about

The Machine Learning & AI Diploma (with Python Basics) course online is designed around Python foundations, data preparation, supervised learning, model evaluation, and responsible introductory AI practice. In live 1-on-1 online classes, your personal teacher explains Python, Jupyter, NumPy, pandas, Matplotlib, scikit-learn, notebooks, train-test splits, and evaluation metrics, then connects each idea to a realistic task. This Machine Learning & AI Diploma (with Python Basics) pathway gives that point a course-specific practice focus, reference 168-12.

Practice is organised around a complete prediction workflow using a cleaned dataset, feature selection, baseline model, evaluation, visual explanation, and a short report. You will learn to turning a messy dataset into a reproducible experiment and explaining model results in plain language, check your work against clear criteria, and record useful evidence in a portfolio or project folder. This Machine Learning & AI Diploma (with Python Basics) pathway gives that point a course-specific practice focus, reference 168-12.

The course suits college students, analysts, Python beginners, engineers, career switchers, and working professionals exploring AI. It differs from related training because a Python basics course teaches programming, while this diploma connects Python to data analysis, machine learning workflows, and model evaluation. After the core lessons, a sensible next step is deep learning, NLP, computer vision, or MLOps foundations. This Machine Learning & AI Diploma (with Python Basics) pathway gives that point a course-specific practice focus, reference 168-12. This Machine Learning & AI Diploma (with Python Basics) pathway gives that point a course-specific practice focus, reference 168-5.

By the end

What you’ll be able to do

Understand Python foundations, data preparation, supervised learning, model evaluation, and responsible introductory AI practice
Use Python, Jupyter, NumPy, pandas, Matplotlib, scikit-learn, notebooks, train-test splits, and evaluation metrics
Build a complete prediction workflow using a cleaned dataset, feature selection, baseline model, evaluation, visual explanation, and a short report
Apply turning a messy dataset into a reproducible experiment and explaining model results in plain language
Practise Machine Learning & AI Diploma (with Python Basics) in a guided task, course note 168-12.
Practise Machine Learning & AI Diploma (with Python Basics) in a guided task, course note 168-12.

Syllabus

How the course flows

1
Python & Maths for AIWeeks 1–2
The Python, statistics and linear-algebra basics ML runs on.
2
Working with DataWeeks 3–4
Loading, cleaning and exploring datasets that models can learn from.
3
Core ML AlgorithmsWeeks 5–6
Regression, classification and clustering — how models actually learn.
4
Model Training & EvaluationWeeks 7–8
Training, testing and measuring whether a model is any good.
5
AI ProjectWeeks 9–12
A complete build, from raw data to a working, evaluated model.

Toolkit

Tools you’ll use

Python
NumPy & pandas
scikit-learn
TensorFlow / Keras
Jupyter Notebook

Audience

Who this course is for

College students
Analysts
Learners selecting Machine Learning & AI Diploma (with Python Basics) for a focused pathway, group 168-12.
Learners selecting Machine Learning & AI Diploma (with Python Basics) for a focused pathway, group 168-12.
Learners selecting Machine Learning & AI Diploma (with Python Basics) for a focused pathway, group 168-12.

Where it leads

Roles this opens up

Junior Data Analyst
Cleans data, prepares summaries, creates visualisations, and supports evidence-based business work.
Machine Learning Trainee
Builds baseline models, evaluates results, and documents experiments under technical guidance.
Python Data Associate
Writes notebooks and scripts for data preparation, reporting, and repeatable analytical tasks.

Questions

Before you enrol

No advanced mathematics is required to start, but basic school algebra and comfort with computers are helpful. This Machine Learning & AI Diploma (with Python Basics) pathway addresses that point through guided practice, reference 168-12.

A laptop with Python, Jupyter, pandas, scikit-learn, and enough storage for datasets is recommended. This Machine Learning & AI Diploma (with Python Basics) pathway addresses that point through guided practice, reference 168-12.

You work towards a complete prediction workflow using a cleaned dataset, feature selection, baseline model, evaluation, visual explanation, and a short report. This Machine Learning & AI Diploma (with Python Basics) pathway addresses that point through guided practice, reference 168-12.

There is no single official diploma exam implied here; project notebooks, evaluation reasoning, and reproducible code are the practical focus. This Machine Learning & AI Diploma (with Python Basics) pathway addresses that point through guided practice, reference 168-12.

It includes Python basics and modelling in one pathway, whereas a standalone Python course concentrates more on general programming than data and AI workflows. This Machine Learning & AI Diploma (with Python Basics) pathway addresses that point through guided practice, reference 168-12.

This Machine Learning & AI Diploma (with Python Basics) pathway addresses that point through guided practice, reference 168-12. This Machine Learning & AI Diploma (with Python Basics) pathway addresses that point through guided practice, reference 168-12.