EDUCBA

Apply AI Foundations with Python and AWS Specialization

EDUCBA

Apply AI Foundations with Python and AWS Specialization

AI Fundamentals with Python and AWS. Build strong AI foundations and apply machine learning concepts using Python and AWS services.

EDUCBA

Instructor: EDUCBA

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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

  • Explain core artificial intelligence concepts, reasoning methods, and ethical considerations.

  • Apply Python libraries to analyze data and build foundational machine learning models.

  • Evaluate and apply AI solutions using AWS services in real-world use cases.

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Taught in English
Recently updated!

January 2026

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Specialization - 4 course series

What you'll learn

  • Explain core AI, machine learning, and deep learning concepts and how AI systems work.

  • Analyze AI applications such as NLP, computer vision, generative AI, and ethical AI practices.

  • Evaluate and apply AWS AI services to design real-world, scalable AI solutions.

Skills you'll gain

Category: Artificial Intelligence
Category: Amazon Web Services
Category: Reinforcement Learning
Category: Unsupervised Learning
Category: Convolutional Neural Networks
Category: Natural Language Processing
Category: Supervised Learning
Category: Deep Learning
Category: Ethical Standards And Conduct
Category: Model Deployment
Category: Machine Learning
Category: Responsible AI
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Applied Machine Learning
Category: AWS SageMaker

What you'll learn

  • Explain core Artificial Intelligence concepts and how Python supports AI workflows.

  • Apply NumPy for numerical computing and data manipulation.

  • Analyze and visualize data using Matplotlib and Seaborn to identify patterns and insights.

Skills you'll gain

Category: Artificial Intelligence
Category: AI Workflows

What you'll learn

  • Explain core AI concepts and analyze intelligent reasoning and search-based methods.

  • Apply machine learning techniques including supervised, unsupervised, and clustering methods.

  • Evaluate reinforcement learning approaches used in real-world intelligent systems.

Skills you'll gain

Category: Data-Driven Decision-Making
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Data Ethics

What you'll learn

  • Explain core machine learning concepts and prepare data using Python libraries.

  • Visualize and analyze datasets using NumPy, Pandas, and Matplotlib.

  • Build and evaluate basic machine learning models using Scikit-learn.

Skills you'll gain

Category: Data Preprocessing
Category: NumPy
Category: Pandas (Python Package)
Category: Exploratory Data Analysis
Category: Model Evaluation
Category: Regression Analysis
Category: Applied Machine Learning
Category: Data Manipulation
Category: Scikit Learn (Machine Learning Library)
Category: Matplotlib
Category: Supervised Learning
Category: Machine Learning
Category: Python Programming
Category: Feature Engineering

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Instructor

EDUCBA
EDUCBA
800 Courses 204,778 learners

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EDUCBA

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