• Course
  • Artificial Intelligence: Principles and Techniques

Artificial Intelligence: Principles and Techniques
Review

Learn the foundational principles and practice implementing various AI systems

Medium
  • Last updated 01/01/2024
by Stanford Online

What you'll learn ? Overview

This course provides a comprehensive introduction to artificial intelligence, covering foundational principles and practical implementation of AI systems. Students will learn about key topics including:

  • Machine learning
  • Search algorithms
  • Game playing
  • Markov decision processes
  • Constraint satisfaction
  • Graphical models
  • Logic

The course combines theoretical concepts with hands-on programming assignments to give students practical experience building AI systems. It is designed for students and professionals looking to develop a strong foundation in modern AI techniques.

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Is this course for you?

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Prior experience needed

Intermediate (Some Foundational Knowledge Recommended)

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Time commitment

moderate Moderate (5–10 Hours/Week)

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Learning style

Self-Paced (Work On Your Own Schedule)

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Goal

Learn A New Skill

Best suited for:

Computer science students, software engineers, data scientists, and professionals looking to gain a strong foundation in AI principles and techniques

Instructor

Stanford Online

Premier Online Learning Platform by Stanford University Legitimacy Score: 10/10
Stanford Online is a comprehensive digital education initiative by Stanford University, offering a diverse array of online learning opportunities. The platform provides free online courses, professional certificates, and advanced degree programs, leveraging Stanford's world-class faculty and cutting-edge research to deliver high-quality education to learners worldwide. Stanford Online's offerings span various disciplines, including computer science, engineering, humanities, and business, catering to both individual learners and organizations seeking professional development solutions.
Stanford Online has been at the forefront of digital education since its inception. The platform has continuously evolved, incorporating innovative teaching methodologies and technologies to enhance the online learning experience. It has successfully delivered thousands of courses to millions of learners globally, collaborating with industry leaders to create relevant and impactful educational content. Stanford Online has also pioneered the development of interactive learning tools and adaptive course designs, setting new standards in online education.
  • Reached over 10 million learners worldwide through various online courses and programs
  • Launched the Stanford Center for Professional Development, offering more than 100 professional education courses
  • Developed groundbreaking online degree programs, including the Stanford Innovation and Entrepreneurship Certificate
  • Received numerous awards for educational innovation and online course design
  • Partnered with leading tech companies to create cutting-edge learning experiences in AI, machine learning, and data science
  • Annual Stanford Online Learning Summit, featuring keynote speeches by Stanford faculty and ed-tech leaders
  • Regular webinars and virtual open houses showcasing Stanford's online programs
  • Participation in major educational technology conferences like EDUCAUSE and Online Learning Consortium (OLC)
  • Hosting of the Digital Learning Forum, bringing together experts in online education
  • Stanford Online engages extensively across digital platforms, sharing educational content, course announcements, and thought leadership in online learning. The platform frequently posts on LinkedIn and Twitter, highlighting student success stories, faculty research, and upcoming course offerings. YouTube serves as a hub for video lectures, course previews, and educational series, while the official blog provides in-depth articles on learning innovations and industry trends.

    Course Details

    • ⏱ Duration90
    • 📶 DifficultyMedium
    • ⌛ Access Lifetime
    • ⏰ Time investmentModerate (5–10 Hours/Week)
    • 🧠 PrerequisitesStrong programming skills (preferably Python), basic probability and linear algebra
    • 💻 RequirementsComputer with internet access, Python development environment
    • 💸 Hidden CostsNone identified beyond course fee
    • 🙋‍♂️ Support OptionsOnline forums, office hours with teaching assistants

    Course content

    • Module 1: Introduction to AI and Machine Learning
    • Module 2: Search Algorithms
    • Module 3: Game Playing and Adversarial Search
    • Module 4: Constraint Satisfaction Problems
    • Module 5: Markov Decision Processes
    • Module 6: Reinforcement Learning
    • Module 7: Bayesian Networks
    • Module 8: Hidden Markov Models
    • Module 9: Logic and Planning
    • Module 10: Advanced Topics in AI

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    Feedbacks

    Overall sentiment

    Very positive, with students praising the comprehensive curriculum and hands-on approach

    Praised points

    Rigorous and thorough coverage of AI fundamentals, high-quality lectures from leading Stanford faculty, challenging but rewarding programming assignments

    Criticisms

    Heavy workload, fast pace can be difficult for those without strong CS/math background

    Testimonials

    "This course gave me a solid foundation in AI that I use every day in my work." - Former student

    "Challenging but incredibly rewarding. The programming assignments really helped solidify the concepts." - Online learner

    "Best AI course I've taken. The instructors are world-class." - Coursera review

    Social insights

    Frequently recommended as one of the best introductory AI courses available online, though some find it very challenging

    Video review

    Marketing Analysis

    Claim Verification

    Course content and structure align closely with advertised curriculum

    Price History

    Consistent pricing, no significant changes noted

    Upsell Practices

    Optional certificate of completion available

    Student Success

    Many students report improved job prospects and ability to apply AI concepts in their work

    Platform & Delivery

    Learning Platform

    Stanford Online platform, user-friendly interface with good reliability

    Content Accessibility

    Lecture videos, slides, and assignments available throughout course duration

    Mobile Compatibility

    Content accessible on mobile devices, but programming assignments best completed on computer

    Technical Requirements

    Modern web browser, stable internet connection, Python development environment

    Red flags check

    😬

    Complaints

    No significant complaints found

    😬

    Refund policy issues

    Clear refund policy provided by Stanford Online

    😬

    Marketing practices

    Transparent, focuses on course content rather than hype

    😬

    Community feedback

    Overwhelmingly positive, with some concerns about difficulty level

    Is this course legit?

    Value For Money

    High value given the depth of content and Stanford's reputation in AI

    Conclusion

    This is a legitimate, high-quality course from a world-renowned institution. Highly recommended for those serious about learning AI fundamentals.

    FAQs about this course

    The course primarily uses <strong>Python</strong> for programming assignments and examples.

    This course is generally considered more rigorous and comprehensive than many other online AI courses, covering a wide range of topics in depth.

    Yes, Stanford Online offers a <strong>certificate of completion</strong> for students who successfully finish the course requirements.

    The course requires strong programming skills, so it may be challenging for complete beginners. Some prior experience with Python is recommended.

    Students typically have <strong>lifetime access</strong> to the course materials after enrollment.
    thumbnail Images
    $ 995
    Total score: 9,0/10 ⭐
    • Duration90
    • DifficultyMedium
    • Release Date01/01/2024
    • Format Self-Paced or Enum.course_Format.cohort
    • AccessLifetime
    • Time InvestmentModerate (5–10 Hours/Week)
    • Payment Options One-Time
    • LanguageEnglish
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    Artificial Intelligence: Principles and Techniques Review