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Foundations of Artificial Intelligence Notes PDF (English)

Foundations of Artificial Intelligence notes: agents, search, knowledge representation, reasoning and machine learning basics. For second-year B.Tech students.

5 PDFs · 11.7 MB

Year
2026
Language
English
Files
5 PDFs · 11.7 MB
Subject
Computer
Updated
17 Oct 2026

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What is inside

This Foundations of Artificial Intelligence pack introduces the core ideas of the subject and then moves through search, knowledge and reasoning to a first look at learning.

Unit / topic Coverage
Introduction What AI is, its history and applications.
Intelligent agents Agent types, environments and rational behaviour.
Problem solving and search Uninformed and informed search and how algorithms are compared.
Knowledge representation Logic and other ways of storing facts for a program.
Reasoning Drawing conclusions from knowledge, including handling uncertainty.
Learning and applications Machine learning fundamentals and areas where AI is used.

Files in this set

The set is split into separate documents so you can open only the part you need. The upload contains:

  • Complete study notes (PDF)
  • Unit 1: introduction to AI, part 1 (PDF)
  • Unit 2: introduction to AI, part 2 (PDF)
  • Unit 3 notes (PDF)
  • Unit 4 notes (PDF)

Who it is for and how to use it

It suits second-year students in computer science and related branches. The files for units 1 to 4 are short, so read the complete notes first, then those. Trace one search algorithm by hand on a small graph. That one exercise explains most of the search unit. For the later units use the combined file, as separate files for units 5 and 6 are not given.

How it maps to the syllabus

Unit titles follow a general outline. Check them with your university syllabus, since some courses start machine learning early and others only mention it. Treat the pack as revision support.

A simple revision plan

A plan that works for most semester subjects is to divide the material into six sittings, one per unit, and finish each sitting with a closed-book recall of the headings. Mark the topics you could not recall and return to them in a final short round. Past semester papers from your own university, if you have them, tell you which of these topics are asked repeatedly.

  • Read one unit in full without stopping to look anything up.
  • Write the definitions, formulas and diagrams on a single revision page.
  • Solve at least two questions or numericals from memory.
  • Revisit weak topics two days later, then once more before the exam.

Printed material

Screens are fine for skimming, but diagrams, derivations and worked numericals are easier to revise on paper, so printing the units you actually need is a practical habit. If you are also preparing for a competitive exam such as UPSC, SSC, JEE or NEET, Competer stocks printed notes, previous year papers and test series for those exams as well.

Questions about notes

What topics does the AI pack cover?

AI fundamentals, intelligent agents, problem solving, search algorithms, knowledge representation, reasoning, machine learning basics and applications.

Are there files for all six units?

Separate files exist for units 1 to 4; units 5 and 6 are covered in the complete notes.

Is it for beginners?

Yes, it starts from the basics and suits a first course in AI.

Does it include algorithms and examples?

The description mentions concepts, algorithms, examples and diagrams.

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  • Source named on every page
  • Printed editions delivered, COD

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