AWS Academy Machine Learning for Natural Language Processing

Ready to unlock the power of language processing? Advance your machine learning expertise with this comprehensive natural language processing (NLP) course.

Course Description

This online, self-guided course is for students who want to advance their machine learning expertise by developing natural language processing techniques and building solutions. Content is delivered through pre-recorded videos, student guides, instructional labs, and knowledge checks.

This course builds additional skills on your journey toward the AWS Certified Machine Learning–Specialty certification. Preparation centers on substantive AWS knowledge, not test-taking techniques.  

Want a bigger picture of your potential AWS Academy Certification journey? Check out other AWS Academy courses and potential certification pathways. Stay tuned for these course launches!

The University of Denver is proud to be a member institution of the AWS Academy, giving students access to official Amazon Web Services (AWS) curriculum and learning resources that prepare them for industry-recognized certifications.

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Who should take this course?

  • Students pursuing careers in machine learning, data science, software engineering, or IT who want to build specialized NLP skills to meet growing industry demand

  • Undergraduate and graduate learners in STEM programs ready to advance their machine learning knowledge to an intermediate level

  • Technical professionals looking to reskill and expand their expertise into high-demand machine learning and NLP fields

Course Details

Requirements

To help ensure your success in this online, self-guided course, the following general competencies are recommended:

  • General Knowledge
  • Technical Background
    • A general familiarity with machine learning (ML) concepts
    • A working knowledge of distributed systems
    • Familiarity with general networking concepts
    • Working knowledge of multi-tier architectures

Format

Designed with your busy schedule in mind, this course is:  

  • 100% online: Learn from anywhere 

  • Self-guided: Built for self-starters who want to drive their own learning experience and work at their own pace 

  • 20 hours of content: Advance your skills and accelerate your career 

  • Skills-Based: Earn a digital badge by scoring 70%+ on graded activities 

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Ready to Enroll?

Sessions start monthly! Enroll and begin your course anytime within that month. You’ll have 3 months of access to course materials.

AWS Academy Machine Learning for Natural Language Processing - February

Professional and Workforce Development (PWD)
$200.00 Starts 02/02/2026

AWS Academy Machine Learning for Natural Language Processing - March

Professional and Workforce Development (PWD)
$200.00 Starts 03/02/2026

What You'll Learn

  • Outcomes

    When you’ve completed this course, you will be able to: 

    • Describe NLP
    • Understand how to apply the ML pipeline to NLP
    • Implement text extraction to obtain data from webpages
    • Create a solution for a sentiment analysis business problem
    • Use Amazon Comprehend to implement a topic modeling solution
    • Build a solution that uses AWS services to transcribe and translate text from multi-media
    • Build a solution using a combination of algorithms and Amazon Machine Learning services
    • Describe generative AI and large language models (LLMs)
    • Identify use cases to use generative AI and LLMs
    • Explain how to use LLMs with AWS generative AI services
  • Course Outline
    • Module 1: Welcome to AWS Academy NLP
    • Module 2: Introduction to NLP
    • Module 3: Processing Text for NLP
    • Module 4: Implementing Sentiment Analysis
    • Module 5: Introducing Information Extraction
    • Module 6: Introducing Topic Modeling
    • Module 7: Working with Languages
    • Module 8: Working with Generative AI
    • Module 9: Course Wrap-Up
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AWS Skill Builder Access

Enroll today and receive a complimentary 12-month subscription to AWS Skill Builder. This platform of over 600 self-paced courses, labs, and certification prep resources is designed to reinforce what you've learned and help you prepare for your AWS certification exam.