eduden
Machine Learning

AI & Machine Learning with Python 90 Days Job-Ready Career Track.

Master AI and Machine Learning using Python build ML models, visualize data, and deploy AI solutions with a real portfolio.

AI & Machine Learning with Python 90 Days Job-Ready Career Track
90 Days
Duration
75+ Lectures
Lectures
8 Projects
Projects
Online
Mode

Course Overview

To help learners build a strong foundation in AI & ML using Python, understand how to apply machine learning to real problems, and gain practical experience with data preprocessing, model building, evaluation, and deployment. You'll build a job-ready portfolio while learning the tools and algorithms used by AI engineers worldwide.

Who can join
Students and freshers with basic Python knowledge
Working professionals switching to AI/ML
Developers looking to enter AI product teams
Entrepreneurs building data-driven products

What's inside the course.

01Assignments solve classification and regression problems, clean real datasets, and visualize insights
02Quizzes concept checks on ML theory, Python libraries, statistics, and neural networks
03Live Sessions model walkthroughs, data science project reviews, and mentoring for job readiness
04Projects build models like fraud detectors, recommendation systems, and image classifiers

Curriculum.

8 modules · 75+ lectures · 8 projects

Tools covered
PythonScikit-learnPandasNumPy

Career path after this course.

Build a job-ready portfolio with the tools and algorithms used by AI engineers worldwide. Complete the assignments and final project to earn a verifiable eduden certificate — checkable on our Verify page.

AI EngineerData ScientistMachine Learning Engineer
What you'll gain
Course Certificate

A digital certificate of completion from Eduden after completing all modules and submitting your final project.

100% Access on Purchase Period

Lifetime access to recorded sessions, hands-on lab assignments, and downloadable resources through the Eduden dashboard.

Ready for interviews

Upon completion of the course, students will always be interviewed to assess their skills and readiness for practical applications.

Next learning step: Deep Learning & Neural Networks with TensorFlow & Keras, Data Science with Python, or AI Foundations with Python.