machine learningpythonartificial intelligencebeginner level

Practical, instructor-led training

Machine Learning with Python: Build Intelligent AI Applications

Master Machine Learning with Python by building real-world AI models and industry-level projects from scratch.

4.7150 ratingsLive online

Your outcome

What you will be able to do

Clear capabilities you can demonstrate after completing the course.

  • Understand Machine Learning concepts and workflows
  • Write Python programs for AI and data analysis
  • Perform data cleaning and preprocessing
  • Visualize datasets using professional tools
  • Build regression and classification models
  • Develop clustering and recommendation systems
  • Train and evaluate Machine Learning models
  • Implement Deep Learning using TensorFlow & Keras
  • Deploy trained ML models as web applications
  • Work on industry-level AI projects

Course overview

About this course

Become a Machine Learning Engineer by learning how to build intelligent systems using Python and industry-standard AI libraries. This comprehensive course is designed for beginners, students, developers, and professionals who want to learn Machine Learning from fundamentals to advanced concepts through practical implementation. You'll master data preprocessing, feature engineering, supervised and unsupervised learning, model evaluation, recommendation systems, deep learning basics, and model deployment. Throughout the course, you'll build real-world projects using Python, Scikit-Learn, Pandas, NumPy, Matplotlib, TensorFlow, and Jupyter Notebook. By the end of this program, you'll be able to develop production-ready Machine Learning solutions, participate in AI projects, freelance, or apply for Machine Learning Engineer and Data Scientist roles.

Guided assessment

10 practical assignments

Project-based learning

Build 3 real-world projects

Step-by-step curriculum

What you will study

10 modules

Learn Python fundamentals including variables, loops, functions, OOP concepts, file handling, and libraries required for Machine Learning.

Skills you will build

Machine LearningPython ProgrammingData AnalysisData VisualizationModel TrainingFeature EngineeringPredictive AnalyticsDeep LearningAI DevelopmentModel Deployment

Tools you will use

PythonJupyter NotebookNumPyPandasMatplotlibSeabornScikit-LearnTensorFlowKerasGoogle ColabGitVS Code

Career value

Turn learning into proof

Certificate of Completion

Quick answers

Common questions about this course

Who is the Machine Learning with Python: Build Intelligent AI Applications course for?+

This course is designed for beginner-level learners who want structured, instructor-led training and practical experience.

How long does the Machine Learning with Python: Build Intelligent AI Applications course take?+

The listed course duration is 4 months. The curriculum is divided into 10 modules.

Is this course online or offline?+

The course is delivered through live online instructor-led sessions.

Does the course include practical projects?+

Yes. The course includes 3 practical projects designed to help learners apply the course concepts.

Will I receive a certificate?+

Yes. Learners who complete the course receive Certificate of Completion.

Your next step

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