AWS ChatGPT Higgsfield ElevenLabs Suno AI AI Automation HeyGen

AWS Artificial Intelligence Practitioner

By AWS Training & Certification Team • Posted: Jul 23, 2026

Course Details

Pricing Free
Offered By AWS
Difficulty Beginner
Duration Approximately 14 Hours (Self-paced)
Language English
Certificate Available

Course Curriculum & Description

Intro - use this as the opening paragraphs

AWS Artificial Intelligence Practitioner introduces learners to the rapidly evolving world of Artificial Intelligence, Machine Learning, and Generative AI using Amazon Web Services.

Designed for beginners, this free AWS AI course explains the foundational concepts behind modern AI systems, explores how machine learning models are trained, and demonstrates how organizations use AI to automate tasks, improve decision-making, and create innovative products.

Learners will discover the AWS ecosystem for Artificial Intelligence, including services such as Amazon Bedrock and Amazon SageMaker, while understanding responsible AI development and ethical AI principles.

The course combines theory with practical business examples, making it ideal for professionals, students, business leaders, and anyone beginning their AI journey.

By the end of the course, learners will understand how AI technologies work, where they can be applied, and how AWS enables organizations to build secure, scalable AI solutions.

If you searched for free AWS AI courses, AWS AI training free, AWS AI course free, or free AWS AI courses, this is the page to start with on AI Files: a free AWS AI training course for beginners, as listed in the Course Details below.

Course details - from the existing page listing

  1. Pricing: Free
  2. Offered By: AWS
  3. Difficulty: Beginner
  4. Duration: Approximately 14 Hours (Self-paced)
  5. Language: English
  6. Certificate: Available

What you will learn - from the existing page listing

  1. Understand Artificial Intelligence fundamentals.
  2. Learn Machine Learning concepts.
  3. Explore Generative AI technologies.
  4. Understand Large Language Models (LLMs).
  5. Use AWS AI services.
  6. Build AI-powered business applications.
  7. Understand Amazon Bedrock.
  8. Learn Amazon SageMaker basics.
  9. Apply responsible AI principles.
  10. Understand prompt engineering fundamentals.
  11. Explore AI deployment workflows.
  12. Recognize real-world AI use cases.

Course prerequisites - from the existing page listing

  1. No prior AI experience required.
  2. Basic computer literacy.
  3. Interest in Artificial Intelligence.
  4. No programming knowledge required.
  5. Internet connection.

Course highlights - from the existing page listing

100% Online, Self-paced Learning, Beginner Friendly, AWS Official Course, Industry-recognized Certificate, Hands-on AI Concepts, Cloud AI Learning, Real-world Case Studies, Generative AI Fundamentals, Career-focused Learning.

FAQ - add these to the existing FAQ section

  1. Is AWS AI Practitioner a free AWS AI course?
  2. Yes, as listed on this page: Pricing Free, Difficulty Beginner, Duration Approximately 14 Hours (Self-paced), Language English, Certificate Available. Check the official AWS enrolment page at the time of publishing for current terms, as provider pricing can change.
  3. Is this page about all free AWS AI courses?
  4. No. The free AWS AI courses, AWS AI training free, AWS AI course free, and free AWS AI courses searches are grouped here because this AWS AI Practitioner listing is the free, beginner AWS AI course on AI Files. It does not mean every AWS course is free. For other AWS topics, use the related pages linked below.
  5. Is AWS AI Practitioner the same as AWS App Studio?
  6. No. AWS App Studio is a separate AWS topic, covered on the AWS App Studio Complete Guide page, about building apps with App Studio, its documentation, use cases, features and capabilities. It is not this AI Practitioner fundamentals course. Link to App Studio as a related AWS topic, do not target App Studio keywords on this page.
  7. Is there a free AWS AI certification with this course?
  8. The existing page listing states Certificate Available, and the highlights describe it as an Industry-recognized Certificate. The shared course description also notes the programme prepares learners for AI-powered careers and AWS certification, according to the existing page description. Check the official AWS page at enrolment for the exact certificate and exam terms before promising a specific AWS certification exam pass.
  9. Do I need programming experience for AWS AI Practitioner?
  10. No. The prerequisites state: no prior AI experience required, basic computer literacy, interest in AI, no programming knowledge required, and an internet connection.

What You Will Learn

  • Understand Artificial Intelligence fundamentals.
  • Learn Machine Learning concepts.
  • Explore Generative AI technologies.
  • Understand Large Language Models (LLMs).
  • Use AWS AI services.
  • Build AI-powered business applications.
  • Understand Amazon Bedrock.
  • Learn Amazon SageMaker basics.
  • Apply responsible AI principles.
  • Understand prompt engineering fundamentals.
  • Explore AI deployment workflows.
  • Recognize real-world AI use cases.

Course Prerequisites

No prior AI experience required.
Basic computer literacy.
Interest in Artificial Intelligence.
No programming knowledge required.
Internet connection.

Course Highlights

100% Online
Self-paced Learning
Beginner Friendly
AWS Official Course
Industry-recognized Certificate
Hands-on AI Concepts
Cloud AI Learning
Real-world Case Studies
Generative AI Fundamentals
Career-focused Learning

Tagged Topics & Skills

Categories:
Skills Mapped:
Machine Learning Deep Learning Prompt Engineering Computer Vision Artificial Intelligence Responsible AI Generative AI AI Productivity AI Applications Large Language Models Business AI Automation Natural Language Processing AWS AI Services Amazon Bedrock Amazon SageMaker Cloud Computing Neural Networks AI Ethics Foundation Models Model Evaluation AI Deployment Cloud AI Data Science AWS Cloud

Ready to Start Learning?

Enroll directly on the official AWS website to begin your lessons.

Open Course Website

Related Courses

Generative AI for Everyone by Andrew Ng | DeepLearning.AI Freemium
DeepLearning.AI 5h 1m

Generative AI for Everyone by Andrew Ng | DeepLearning.AI

Generative AI for Everyone is a beginner-friendly course by DeepLearning.AI, taught by Andrew Ng. It explains how generative AI works, its capabilities and limitations, practical AI tools and applications, prompt engineering, and the impact of generative AI on business and society. No coding experience or prior AI knowledge is required.

Andrew Ng
Beginner
Deep Learning Specialization Paid
Coursera 3 months, 10 hours per week

Deep Learning Specialization

Master deep learning with Andrew Ng’s 5-course specialization from DeepLearning.AI on Coursera. Learn neural networks, TensorFlow, CNNs, RNNs, Transformers, optimization, and practical AI applications through hands-on programming assignments. Ideal for intermediate learners pursuing careers in machine learning and artificial intelligence.

Andrew Ng, Younes Bensouda Mourri, Kian Katanforoosh
Intermediate
AI Foundations – OpenAI Academy | Free AI & ChatGPT Course Free
OpenAI 70 minutes

AI Foundations – OpenAI Academy | Free AI & ChatGPT Course

Learn AI fundamentals, large language models, ChatGPT prompting, context-setting and responsible AI use in OpenAI Academy’s free, self-paced 70-minute course. Practice real workplace tasks and earn a shareable digital badge by completing the course and passing the assessment with at least 80%.

Beginner