technifyed

Overview

This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.

Skills you'll practise

AIAlgorithms and Data StructuresComputer ScienceData Science, Analytics & Computer TechnologyEngineeringMachine Learning

Advantages and disadvantages

Advantages

  • The real MIT course: lecture notes, problem sets and exams, often with solutions.
  • Free, with no sign-up or deadlines.
  • Taught by Massachusetts Institute of Technology, one of the strongest names in its field.
  • Completely free.
  • Self-paced: start any time.

Disadvantages

  • No certificate, no grading and no forum: you need to be self-driven.
  • Many courses are recordings of past semesters and some have notes only, no videos.
  • No certificate.

Some points apply to every course of this kind; see how we rank.

Free to learn

  • Free: All the materials are free to use, with no sign-up. MIT OpenCourseWare gives no certificate.

Taught by

  • Patrick Henry Winston

Massachusetts Institute of Technology is in Tier 1: world-leading universities and India's top institutes of our institution ranking (98/100). OpenCourseWare is the gold standard for free university material.

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