Basics of AI and Fake News Detection

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AI is transforming how we combat fake news. This course provides basics of artificial intelligence and its application in detecting misinformation.

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About this course

Learn about machine learning algorithms, natural language processing, and data analysis techniques used to identify fake news. Understand how AI analyzes text, images, and videos to detect inconsistencies and manipulation. Designed for students, journalists, and anyone concerned about the spread of misinformation. Develop critical thinking skills to evaluate information sources. Gain practical knowledge of AI tools for fact-checking. Explore the ethical implications of using AI in news verification. Enroll now and become a more informed and responsible digital citizen!

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Course details

• Introduction to Artificial Intelligence
• Machine Learning Fundamentals
• Natural Language Processing (NLP)
• Data Mining and Preprocessing
• Supervised and Unsupervised Learning Techniques
• Classification Algorithms for Fake News Detection
• Feature Engineering for Text Data
• Evaluation Metrics for Fake News Detection
• Case Studies in Fake News Detection
• Ethical Considerations in AI and Fake News

Career path

AI & Fake News Detection Career Roles (UK) Description
AI Specialist (Machine Learning Engineer) Develops algorithms for fake news detection, focusing on natural language processing (NLP) and machine learning models. High demand.
Data Scientist (Fake News Analyst) Analyzes large datasets to identify patterns and trends in fake news propagation, leveraging statistical methods and AI tools. Strong analytical skills required.
Software Engineer (AI & NLP) Builds and maintains software solutions for identifying and flagging fake news using AI-powered techniques. Experience with NLP libraries essential.
Cybersecurity Analyst (Fake News) Investigates the origins and spread of fake news, often focusing on the malicious intent behind disinformation campaigns. Deep understanding of cybersecurity principles.

Entry requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

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BASICS OF AI AND FAKE NEWS DETECTION
is awarded to
Learner Name
who has completed a programme at
Stanmore School of Business (SSB)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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