Probabilistic Models for AI
Understand the mathematical foundations of AI algorithms and learn to apply probability concepts to data analysis.
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AI instructor
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Start anytime
No schedules or deadlines โ learn at your own pace, whenever suits you. -
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In English
Lessons, tasks and certificate โ all fully in your language.
About this course
Are you curious about the mathematical underpinnings of artificial intelligence? This course breaks down how probability theory forms the backbone of many AI algorithms. You will gain a solid understanding of core probabilistic concepts essential for working with AI and data. Learn to calculate probabilities, manipulate discrete and continuous random variables, and utilize key distributions like binomial, geometric, and normal distributions. Explore fundamental counting principles such as permutations, combinations, and arrangements, which are critical for data analysis and feature engineering. This course is designed for beginners with no prior experience in AI or advanced mathematics. Start building your foundational knowledge in AI today.
What you'll get
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Certificate of completion
Add it to your LinkedIn profile -
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Personal AI tutor
Stuck on a lesson? Ask your built-in tutor anything, any time. -
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Audio version included
Learn on the go โ no screen needed -
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Lifetime access
Come back anytime, no expiry -
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Phone or computer
Works anywhere, any device -
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14-day refund
No questions asked -
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Short & focused
2h 54m of practical content
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Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe. We donโt store card details โ Stripe handles them securely.
Can I get a refund? +
Yes โ full refund within 14 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
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