EDUCBA
Artificial Intelligence with Python: Foundations to Projects Specialization
EDUCBA

Artificial Intelligence with Python: Foundations to Projects Specialization

Hands-On Machine Learning With Python. Master data handling, ML algorithms, deep learning, and NLP by building real-world AI projects.

EDUCBA

Instructor: EDUCBA

Included with Coursera Plus

Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Set up Python AI environments and create analytical visuals with NumPy, Matplotlib, and Seaborn.

  • Build, evaluate, and explain supervised, unsupervised, and deep learning models in Python.

  • Design NLP pipelines with NLTK and present end-to-end AI solutions using reproducible notebooks.

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Taught in English
Recently updated!

September 2025

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Specialization - 3 course series

What you'll learn

  • Set up Python environments with Anaconda and Jupyter.

  • Manipulate and analyze data efficiently using NumPy.

  • Create clear, insightful visualizations with Matplotlib & Seaborn.

Skills you'll gain

Category: Jupyter
Category: Matplotlib
Category: NumPy
Category: Seaborn
Category: Data Manipulation
Category: Heat Maps
Category: Box Plots
Category: Histogram
Category: Statistical Visualization
Category: Development Environment
Category: Data Visualization Software
Category: Exploratory Data Analysis
Category: Scatter Plots

What you'll learn

  • Analyze datasets and apply key ML algorithms in Python.

  • Evaluate classifiers and perform dimensionality reduction.

  • Build deep learning models with TensorFlow, Keras, and PyTorch.

Skills you'll gain

Category: Machine Learning
Category: Statistical Analysis
Category: Artificial Intelligence
Category: Scikit Learn (Machine Learning Library)
Category: Tensorflow
Category: Python Programming
Category: Deep Learning
Category: Dimensionality Reduction
Category: PyTorch (Machine Learning Library)
Category: Feature Engineering
Category: Matplotlib
Category: Data Cleansing
Category: Jupyter
Category: Unsupervised Learning
Category: Supervised Learning
Category: Exploratory Data Analysis
Category: Keras (Neural Network Library)
Category: Applied Machine Learning
Category: Data Manipulation
Category: Predictive Modeling

What you'll learn

  • Apply predictive analytics and ML algorithms to real problems.

  • Analyze clustering, classification, and NLP pipelines in Python.

  • Construct AI solutions using logic, rules, and search strategies.

Skills you'll gain

Category: Predictive Analytics
Category: Computational Logic
Category: Random Forest Algorithm
Category: Supervised Learning
Category: Natural Language Processing
Category: Python Programming
Category: Unsupervised Learning
Category: Machine Learning Algorithms
Category: Applied Machine Learning
Category: Unstructured Data
Category: Algorithms
Category: Scikit Learn (Machine Learning Library)
Category: Data Science
Category: Data Processing
Category: Text Mining
Category: Artificial Intelligence
Category: Predictive Modeling

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Instructor

EDUCBA
EDUCBA
376 Courses120,561 learners

Offered by

EDUCBA

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