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Course 3 of 4: Applied Artificial Intelligence – Natural Language Processing
This course is part of the Advanced and Applied AI on Microsoft Azure QLMExpertFastTrack
Applied Artificial Intelligence: Natural Language Processing
Understand the crucial role of Natural Language Processing (NLP) in generative AI and explore its core challenges.
Duration
– 3 weeks
– Weekly study: 6 hours
Course 3 of 4
Gain an Understanding of Generative AI
This course is part of the Advanced and Applied AI on Microsoft Azure QLMExpertFastTrack, aimed at enhancing your AI and machine learning skills and preparing you for relevant Microsoft microcredentials.
Have you ever queried Siri or commanded Alexa to play a song? These are prime examples of advanced Natural Language Processing (NLP) in action.
NLP is increasingly integrated into our daily lives and is a pivotal aspect of AI. This course will provide you with an understanding of the fundamental problems in NLP and equip you with the skills to tackle essential NLP tasks.
Discover Natural Language Processing (NLP)
NLP is a branch of AI, machine learning, and computational linguistics.
During this course, you'll learn why NLP is one of the most significant technologies of the Information Age. You’ll delve into its subfields, including natural language understanding, machine translation, semantics, syntactic parsing, natural language emulation, and dialectal systems.
Understand Vision and Language Joint Learning
Explore the intersection of vision and language joint learning and inference issues to better understand NLP challenges.
You will also engage with multimodal intelligence tasks, learning to apply deep learning models to image captioning and visual question answering.
Apply Deep Learning Models to Solve NLP Problems
By the end of this course, you will grasp the complexities and power of NLP.
You will learn to apply deep learning models to address problems such as machine translation and conversation generation, as well as employing deep reinforcement learning models in natural language applications.
What Topics Will You Cover?
– Introduction to NLP and Deep Learning: Overview of NLP using traditional machine learning and modern deep learning methods.
– Neural Models for Machine Translation and Conversation: Introduction to Statistical Machine Translation and neural models for translation and conversation.
– Deep Semantic Similarity Models (DSSM): Introduction to DSSM and its applications.
– Natural Language Understanding: Methods in Natural Language Understanding, including continuous word representations and neural knowledge base embedding.
– Deep Reinforcement Learning in NLP: Techniques of deep reinforcement learning applied to NLP.
– Vision-Language Multimodal Intelligence: Neural models for image captioning and visual question answering.
Prove You're Job Ready
Showcase your newly acquired skills with an industry-specific digital certificate for each course within your QLMExpertFastTrack.
– Stay current in your field.
– Complete each course and pass assessments.
– Receive certificates validated by the educating organisation.
– Impress employers with your CV's enhanced learning outcomes.
– Realise your career aspirations.
Accreditation
Microsoft: This course is accredited by Microsoft.
Learning on This Course
Engage with fellow learners, share insights, and join active discussions in the comments throughout the course.
What Will You Achieve?
By the end of the course, you will be able to:
– Apply deep learning models to solve machine translation and conversation problems.
– Use deep structured semantic models for information retrieval and natural language applications.
– Implement deep reinforcement learning models in natural language applications.
– Apply deep learning models to image captioning and visual question answering.
Who Is the Course For?
This course is ideal for those looking to familiarise themselves with this emerging domain of AI, including:
– Data Scientists
– Analytics Managers
– Data Analysts
– Data Engineers
– Data Architects
NLP is crucial for supporting human-machine interactions and is increasingly essential across various AI and advanced cloud-based system developments.
Course Development
QLM has partnered with leading global technology companies to deliver cutting-edge digital skills training for the modern workplace.
Course 3 of 4