EDUCBA

Apply AI Foundations with Python and AWS Specialization

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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

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

  • 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.

Details to know

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Taught in English
Recently updated!

January 2026

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  • Earn a career certificate from EDUCBA

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

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: Artificial Intelligence and Machine Learning (AI/ML)
Category: Data-Driven Decision-Making
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: Matplotlib
Category: NumPy
Category: Applied Machine Learning
Category: Data Preprocessing
Category: Scikit Learn (Machine Learning Library)
Category: Model Evaluation
Category: Machine Learning
Category: Python Programming
Category: Data Manipulation
Category: Exploratory Data Analysis
Category: Feature Engineering
Category: Regression Analysis
Category: Supervised Learning
Category: Pandas (Python Package)

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Instructor

EDUCBA
EDUCBA
711 Courses 195,631 learners

Offered by

EDUCBA

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