Peter Norvig
Research Director, Google
Intro to Artificial Intelligence
Dive into the world of AI with a comprehensive introduction to its foundational concepts, including machine learning, computer vision, NLP, and probabilistic reasoning. This course offers a solid starting point for anyone looking to understand the field.
- Course
- Intermediate
- 4.4 (418)
- Updated: May 15, 2025
Free Course
Intro to Artificial Intelligence
Prerequisites
0 prerequisites
No prior technical experience required.
You will need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 33 lessons
Program Instructors
2 instructors
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:
Sebastian Thrun
Founder and Executive Chairman, Udacity
Peter Norvig
Research Director, Google
Sebastian Thrun
Founder and Executive Chairman, Udacity
Reviews
Average Rating: 4.4 (418 Reviews)
good it is important course
Y
Yordanos Yihun
May 6, 2026
The course was very helpful for learning AI basics." (49 characters) "Great content and easy to follow lessons." (41 characters) "I enjoyed the projects in this Udacity course." (46 characters)
D
Desalegn asefa
May 6, 2026
Very Good
M
Merga Chala
May 6, 2026
high skill
E
Endrias Abera Agantso
May 6, 2026
Main Types of AI 1. Narrow AI (Weak AI) Designed for specific tasks Examples: voice assistants, recommendation systems This is the only type widely used today 2. General AI (Strong AI) Would perform any intellectual task like a human Still theoretical (not yet achieved) 3. Superintelligent AI Hypothetical AI that surpasses human intelligence Mostly discussed in future scenarios 🧩 Important Subfields Machine Learning: Systems learn from data without explicit programming Natural Language Processing: Understanding and generating human language Computer Vision: Interpreting images and videos Robotics: AI combined with physical machines 🌍 Real-Life Applications AI is already part of everyday life: Search engines and chatbots Medical diagnosis and healthcare tools Self-driving cars Translation apps Fraud detection in banking ⚖️ Advantages and Challenges ✅ Benefits Automates repetitive tasks Processes huge amounts of data quickly Improves decision-making ⚠️ Challenges Ethical concerns (bias, fairness) Privacy risks Job displacement Lack of human-like understanding
A
Ayu Mulatu
May 5, 2026
Free Course
Intro to Artificial Intelligence