Course Highlights
Artificial Intelligence (AI) is rapidly advancing across industries, with data showcasing its widespread adoption. A report by Statista in 2023 revealed that the global AI market was valued at $142.3 billion, projected to grow to $1.8 trillion by 2030 at a CAGR of 38%. In sectors like finance, AI is transforming operations, with AI-powered systems predicted to save banks up to $447 billion by 2025.
Additionally, the demand for AI talent is surging. LinkedIn data shows that AI specialist job roles have increased by 76% over the past two years. Meanwhile, Gartner reports that by 2025, over 70% of organizations will have implemented some form of AI, up from just 25% in 2020. The growing influence of AI is expected to significantly impact the job market, automating tasks but also creating new opportunities in fields like data science, machine learning, and robotics.
Learning outcome
- Familiar yourself with the recent development and updates of the relevant industry
- Know how to use your theoretical knowledge to adapt in any working environment
- Get help from our expert tutors anytime you need
- Access to course contents that are designed and prepared by industry professionals
- Study at your convenient time and from wherever you want
Course media
Why should I take this course?
- Affordable premium-quality E-learning content, you can learn at your own pace.
- You will receive a completion certificate upon completing the course.
- Internationally recognized Accredited Qualification will boost up your resume.
- You will learn the researched and proven approach adopted by successful people to transform their careers.
- You will be able to incorporate various techniques successfully and understand your customers better.
Requirements
- No formal qualifications required, anyone from any academic background can take this course.
- Access to a computer or digital device with internet connectivity.
Course Curriculum
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Module 01: Introduction to Artificial Intelligence00:21:00
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Module 02: Mathematics for AI00:17:00
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Module 03: Knowledge Representation in AI – Part 100:18:00
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Module 04: Knowledge Representation in AI – Part 200:16:00
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Module 05: Machine Learning – Part 100:16:00
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Module 06: Machine Learning – Part 200:15:00
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Module 07: Deep Learning00:16:00
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Module 08: Natural Language Processing00:22:00
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Module 09: Computer Vision00:14:00
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Module 10: Robotics00:18:00
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Module 11: Building AI Applications00:24:00
14-Day Money-Back Guarantee
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Duration:3 hours, 17 minutes
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Access:1 Year
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Units:11
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