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Applied Artificial Intelligence: Natural Language Processing

Learn how Natural Language Processing is a crucial component in generative AI and understand its core problems.

  • Duration

    3 weeks
  • Weekly study

    6 hours
  • Included in an ExpertTrack

    Course 3 of 4
  • Get full ExpertTrack access

    $39/monthFind out more
  • Accreditation

    AvailableMore info

Gain an understanding of generative AI

This course is part of the Advanced and Applied AI on Microsoft Azure ExpertTrack, helping you develop AI and machine learning skills and prepare you for the relevant Microsoft microcredentials.

Have you ever asked Siri a question? Or told Alexa to play a song? If so, you’ve experienced the most powerful and advanced examples of Natural Language Processing (NLP) that exist today.

NLP is fast becoming a part of our day-to-day lives and is a crucial component of AI. In this course, you’ll get an understanding of the core problems in NLP and learn how to solve critical NLP tasks.

Discover Natural Language Processing (NLP)

Natural language processing (NLP) is a field of artificial intelligence (AI) machine learning and computational linguistics.

During the course, you’ll learn how NLP is one of the most important technologies of the Information Age. You’ll gain a deeper understanding of this aspect of AI by delving into its sub areas including; natural language understanding, machine translation, semantics, and syntactic passing as well as natural language emulation and dialectal systems.

Understand vision and language joint learning

You’ll also be introduced to vision and language joint learning and inference problems to learn more about the issues of NLP.

As well as this, you’ll cover multimodal intelligence tasks and learn how to apply deep learning models on image captioning and visual question answering.

Apply deep learning models to solve NLP problems

By the end of the course, you will understand that NLP, though extremely powerful, also comes with many problems.

You’ll learn how to apply deep learning models to solve problems such as machine translation and conversation as well as applying deep reinforcement learning models on natural language applications.

What topics will you cover?

  • Introduction to NLP and Deep Learning provides an overview of Natural Language Processing using classic machine learning methods and cutting-edge deep learning methods.
  • Neural models for machine translation and conversation gives an introduction to Statistical Machine Translation and neural models for translation and conversation.
  • Deep Semantic Similarity Models (DSSM) gives an introduction to Deep Semantic Similarity Model (DSSM) and its applications.
  • Natural Language Understanding gives an introduction to methods applied in Natural Language Understanding, such as continuous word representations and neural knowledge base embedding.
  • Deep reinforcement learning in NLP gives an introduction to deep reinforcement learning techniques applied in NLP.
  • Vision-Language Multimodal Intelligence gives an introduction to neural models applied in Image captioning and visual question answering.

Prove you're job ready

Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.

  • Learn the latest in your chosen industry or subject.
  • Complete each course and pass assessments.
  • Receive certificates validated by the educating organisation.
  • Impress employers with learning outcomes you can add to your CV.
  • Make your career dreams a reality.

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Who is this accredited by?


This course is accredited by Microsoft

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Apply deep learning models to solve machine translation and conversation problems.
  • Apply deep structured semantic models on information retrieval and natural language applications.
  • Apply deep reinforcement learning models on natural language applications.
  • Apply deep learning models on image captioning and visual question answering.

Who is the course for?

This course is ideal for anyone who wants to become familiar with this emerging domain of artificial intelligence (AI), including data scientists, analytics managers, data analysts, data engineers, and data architects.

Natural Language Processing plays a critical role in supporting machine-human interactions. It is becoming increasingly integral to most areas of AI and advanced cloud based system development.

Who developed the course?

CloudSwyft Global Systems, Inc.

CloudSwyft has partnered with the top global technology companies to deliver cutting edge digital skills learning across the modern workplace.

About this ExpertTrack

Enhance your understanding of machine learning and AI using Microsoft Azure and Python.

Start learning today - free 7-day trial

After your free trial you can:

  • Pay $39 per month to keep learning online
  • Have complete control over your subscription; you can cancel any time
  • Work at your own pace and set your own deadlines at every stage
  • Only pay while you’re learning; the subscription will cancel automatically when you finish
  • Complete online assessments to test your knowledge and prove your skills
  • Earn digital course certificates and a final award that you can share online, with potential employers, and your professional network
  • Keep access to the content of courses you complete even after your subscription ends

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps to help you keep track of your learning
  • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
  • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

Join a global classroom

  • Experience the power of social learning, and get inspired by an international network of learners
  • Share ideas with your peers and course educators on every step of the course
  • Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

Map your progress

  • As you work through the course, use notifications and the Progress page to guide your learning
  • Whenever you’re ready, mark each step as complete, you’re in control
  • Complete 90% of course steps and all of the assessments to earn your certificate

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