AI Basics

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The Career Advancement Programme in AI Basics plus course is a 5-unit comprehensive program designed to equip learners with the fundamental skills required to advance in their careers in the rapidly growing field of Artificial Intelligence. With the increasing industry demand for AI and machine learning professionals, this program prepares learners to meet the growing needs of employers.

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By understanding the basics of AI, learners will be able to develop and apply AI solutions, drive business outcomes, and stay ahead in the job market. This program is essential for those seeking to upskill or reskill in AI and advance their careers.

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CourseDetails

  • Introduction to AI & its Applications
  • Machine Learning Fundamentals
  • Deep Learning Techniques and Applications
  • AI Project Development and Implementation
  • AI Strategy and Roadmap for Career Advancement

CareerPath

Below are the career roles and percentage shares for the AI Basics Career Advancement Programme: Insurance Pricing Analyst (28%): Responsible for analyzing and pricing insurance policies using AI and machine learning techniques.

Risk Manager (24%): Manages and mitigates risks using AI-driven predictive analytics and machine learning algorithms.

Consultant (22%): Provides expert advice on AI implementation and strategy to organizations, helping them make data-driven decisions.

Team Lead (16%): Leads a team of data scientists and AI engineers, overseeing project development and ensuring successful project delivery.

Advisor (10%): Offers expert advice and guidance on AI technology and its applications to individuals and organizations, helping them navigate the AI landscape.

EntryRequirements

  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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  • NotAccreditedRecognized
  • NotRegulatedAuthorized
  • ComplementaryFormalQualifications

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AI Fundamentals Machine Learning Data Analysis Programming Basics

CourseFee

PlusCourse £79
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AI BASICS
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London School of Planning and Management (LSPM)
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05 May 2025
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