Member Avatar for Evenbit

It is my understanding that with over 115,000 signed-up, it constitutes the largest MOOC [ http://en.wikipedia.org/wiki/Massive_open_online_course ] ever. Certainly an historical experiment with possible future changes in delivery of University-level education: http://www.reddit.com/r/aiclass/comments/kp1wb/amazing_we_can_probably_offer_a_masters_degree_of/

I've decided to take the Basic track so that I only take the quizzes, but get to miss those frightening exams. :)

Thankfully, all of the pre-reqs are available as videos on Khan Academy.

http://www.ai-class.com/

  • 4 Contributors
  • 3 Replies
  • 257 Views
  • 1 Week Discussion Span
  • Latest Post Latest Post by cwarn23

Dani AI

Generated

Practical, evergreen notes to complement the replies about Stanford’s free Intro to AI MOOC — focused on choosing a track, managing time, and turning course work into useful projects.

Choosing a track: ’s Basic choice is sensible when assessment and deadlines are a squeeze. The Advanced/graded path typically demands more coding, debugging and time. For planning, treat the graded route like a part-time course: a common experience is roughly 6–12 hours/week if doing programming assignments, and 3–6 hours/week if following lectures and quizzes only. ’s concern about time is valid — auditing selected weeks preserves learning without the full commitment.

Prep and study workflow: establish a 3-step weekly rhythm — 1) watch the lecture (take timestamped notes), 2) reimplement one core idea from the lecture (even a minimal version), 3) run quick checks or visualizations to validate behavior. Prioritize fundamentals: basic programming, discrete algorithms, probability/statistics and simple linear algebra. For assessment weeks, break each assignment into bite-sized tasks and write small tests early; that prevents last-minute debugging.

Apply the material to projects: ’s robot idea is ideal — map an assignment (search, localization, or decision-making) to a concrete robot task and iterate. , combine course concepts into a final-year deliverable where possible: a focused module (e.g., path planning or sensor fusion) makes for a stronger project than trying to do everything. Practical tips: instrument code with simple logs/plots, start with simulated data, and keep commits small so regressions are easy to trace. Note: certificates and credit policies vary — treat the course primarily as a structured learning and portfolio opportunity rather than guaranteed formal credit.

Recommended Answers

All 3 Replies

Member Avatar for rubberman

I was going to take it, but I don't have enough time this fall to do it properly.

Member Avatar for mustafaneguib

i have taken the advanced course, but i doubt that i will be able to spend as much time on it, because my final year project is coming to a close, and i am also working on a new project in my free time. though i have video lectures of virtual university
http://www.vu.edu.pk/ for artificial intelligence, so i can watch them when i want to.

Member Avatar for cwarn23

I think I would like to program the AI of my own robot thankyou MR Standford.

Be a part of the DaniWeb community

We're a friendly, industry-focused community of developers, IT pros, digital marketers, and technology enthusiasts meeting, networking, learning, and sharing knowledge.