Complete Prolog Course

Chapter 1: Introduction to Prolog
  • Lesson 1: What is Prolog?
  • Lesson 2: History and Evolution of Prolog
  • Lesson 3: Applications and Use Cases of Prolog
  • Lesson 4: Setting Up a Prolog Environment (SWI-Prolog, GNU Prolog, Sicstus, etc.)
  • Lesson 5: Writing and Running Your First Prolog Program
  • Lesson 6: Prolog Syntax Overview
  • Lesson 7: Using Prolog Interactively
Chapter 2: Facts, Rules and Queries
  • Lesson 1: Understanding Facts and Knowledge Representation
  • Lesson 2: Defining Rules in Prolog
  • Lesson 3: Queries and Goal Evaluation
  • Lesson 4: Backtracking and Unification
  • Lesson 5: Understanding the Declarative Paradigm
Chapter 3: Data Types in Prolog
  • Lesson 1: Atoms, Numbers, and Variables
  • Lesson 2: Lists in Prolog
  • Lesson 3: Tuples and Compound Terms
  • Lesson 4: Strings and Characters
  • Lesson 5: Differences Between Atoms and Strings
  • Lesson 6: Anonymous Variables (_)
Chapter 4: Control Flow in Prolog
  • Lesson 1: Understanding Logical Flow
  • Lesson 2: Conditional Statements (if-then-else)
  • Lesson 3: Recursion in Prolog
  • Lesson 4: The Cut Operator (!)
  • Lesson 5: Negation as Failure (\+)
  • Lesson 6: Depth-First Search in Backtracking
Chapter 5: Lists and List Processing
  • Lesson 1: Declaring and Manipulating Lists
  • Lesson 2: Recursively Processing Lists
  • Lesson 3: Membership and Searching in Lists (member/2)
  • Lesson 4: List Concatenation and Splitting
  • Lesson 5: Sorting Lists
  • Lesson 6: Using append/3 and length/2
  • Lesson 7: Removing Duplicates (setof/3 and bagof/3)
Chapter 6: Arithmetic and Comparison Operators
  • Lesson 1: Performing Arithmetic in Prolog (is/2, +, -, *, /)
  • Lesson 2: Integer and Floating Point Numbers
  • Lesson 3: Comparison Operators (<, >, =<, >=, =\=)
  • Lesson 4: Using mod/2, div/2, and Power Functions
Chapter 7: Pattern Matching and Unification
  • Lesson 1: Understanding Unification (=)
  • Lesson 2: Structural Pattern Matching
  • Lesson 3: The Difference Between = and ==
  • Lesson 4: Variable Binding and Instantiation
Chapter 8: Input and Output in Prolog
  • Lesson 1: Writing to the Console (write/1, writeln/1)
  • Lesson 2: Reading User Input (read/1)
  • Lesson 3: File Handling in Prolog
  • Lesson 4: Reading and Writing Files
  • Lesson 5: Formatting Output (format/2)
Chapter 9: Defining and Using Recursion
  • Lesson 1: Introduction to Recursion
  • Lesson 2: Recursive List Processing
  • Lesson 3: Tail Recursion Optimization
  • Lesson 4: Recursive Problem Solving (Factorial, Fibonacci)
Chapter 1: Advanced List Processing
  • Lesson 1: Higher-Order List Operations (maplist/2, foldl/3)
  • Lesson 2: List Comprehensions in Prolog
  • Lesson 3: Advanced Sorting Techniques
  • Lesson 4: Lazy Evaluation in List Processing
Chapter 2: Graphs and Trees in Prolog
  • Lesson 1: Representing Graphs as Facts
  • Lesson 2: Tree Structures and Tree Traversals
  • Lesson 3: Depth-First and Breadth-First Search
  • Lesson 4: Pathfinding Algorithms in Prolog
Chapter 3: Constraint Logic Programming (CLP)
  • Lesson 1: Introduction to Constraint Logic Programming
  • Lesson 2: Defining and Solving Constraints
  • Lesson 3: CLP over Finite Domains (clpfd)
  • Lesson 4: Scheduling and Optimization Problems
Chapter 4: Metaprogramming in Prolog
  • Lesson 1: Understanding Metaprogramming
  • Lesson 2: Writing Prolog Programs that Modify Themselves
  • Lesson 3: Using call/1 and apply/2
Chapter 5: Dynamic Knowledge Bases
  • Lesson 1: Creating and Modifying Facts at Runtime
  • Lesson 2: The assert/1 and retract/1 Predicates
  • Lesson 3: Persistent Storage of Facts
Chapter 6: Debugging and Optimization
  • Lesson 1: Using the Prolog Debugger
  • Lesson 2: Profiling Prolog Programs
  • Lesson 3: Improving Backtracking Efficiency
Chapter 7: Parallel and Concurrent Prolog
  • Lesson 1: Introduction to Parallel Prolog
  • Lesson 2: Multi-threading in Prolog
  • Lesson 3: Parallel Search Algorithms
Chapter 8: Prolog and Databases
  • Lesson 1: Connecting Prolog to SQL Databases
  • Lesson 2: Querying Databases Using Prolog
  • Lesson 3: NoSQL Databases with Prolog
Chapter 9: Web Development with Prolog
  • Lesson 1: Using Prolog for Web Applications
  • Lesson 2: Prolog with HTTP APIs (http_open/3)
  • Lesson 3: Generating Dynamic Web Pages
Chapter 10: Natural Language Processing (NLP) with Prolog
  • Lesson 1: Tokenization and Parsing
  • Lesson 2: Using DCG (Definite Clause Grammars) for NLP
  • Lesson 3: Building a Simple Chatbot
Chapter 11: Machine Learning and AI in Prolog
  • Lesson 1: Basics of AI Programming in Prolog
  • Lesson 2: Decision Trees and Rule-Based Systems
  • Lesson 3: Probabilistic Logic Programming
Chapter 12: Creating Prolog Libraries
  • Lesson 1: Writing Modular Prolog Code
  • Lesson 2: Packaging Prolog Libraries
  • Lesson 3: Versioning and Documentation
Chapter 13: Prolog in Embedded Systems
  • Lesson 1: Running Prolog on Embedded Devices
  • Lesson 2: Interfacing with IoT
Chapter 14: Modern Features in Prolog
  • Lesson 1: New Developments in Recent Prolog Versions
  • Lesson 2: Performance Optimizations in New Releases
Course Duration: about 50+10 hours

The online class is held via Skype (or Zoom or Microsoft Teams) and the cost per hour of tutoring is only $15. At the end of this long course, you will master all the required basic and advanced concepts of Prolog and we will develop a real-world application together for about 10 hours which fully prepares you to find a job as a Prolog developer.
To book this class, message or call my telegram or WhatsApp:
+98 (912) 490-8372 or +98 (935) 490-8372
You can also send email to me:
abolfazl.mohammadijoo@gmail.com

Your Message






























Introductory Course of Prolog


Chapter 1: Introduction to Prolog
Chapter 2: Facts, Rules and Queries
Chapter 3: Data Types in Prolog
Chapter 4: Control Flow in Prolog
Chapter 5: Lists and List Processing
Chapter 6: Arithmetic and Comparison Operators
Chapter 7: Pattern Matching and Unification
Chapter 8: Input and Output in Prolog
Chapter 9: Defining and Using Recursion

Advanced Course of Prolog


Chapter 1: Advanced List Processing
Chapter 2: Graphs and Trees in Prolog
Chapter 3: Constraint Logic Programming (CLP)
Chapter 4: Metaprogramming in Prolog
Chapter 5: Dynamic Knowledge Bases
Chapter 6: Debugging and Optimization
Chapter 7: Parallel and Concurrent Prolog
Chapter 8: Prolog and Databases
Chapter 9: Web Development with Prolog
Chapter 10: Natural Language Processing (NLP) with Prolog
Chapter 11: Machine Learning and AI in Prolog
Chapter 12: Creating Prolog Libraries
Chapter 13: Prolog in Embedded Systems
Chapter 14: Modern Features in Prolog
Course Duration: about 50+10 hours

The online class is held via Skype (or Zoom or Microsoft Teams) and the cost per hour of tutoring is only $15. At the end of this long course, you will master all the required basic and advanced concepts of Prolog and we will develop a real-world application together for about 10 hours which fully prepares you to find a job as a Prolog developer.
To book this class, message or call my telegram or WhatsApp:
+98 (912) 490-8372 or +98 (935) 490-8372
You can also send email to me:
abolfazl.mohammadijoo@gmail.com

Your Message