Logic Courses and Certifications

BITSAT Exam - English & Logic: Study Guide & Test Prep

Comprehensive preparation for BITSAT's English and Logic sections, covering grammar, vocabulary, reading, composition, and verbal reasoning with video lessons and interactive quizzes.

• Study.com
• 6 hours
• Self-Paced
• Paid Course

Solve Problems with Critical Thinking

Master critical thinking skills to frame problems effectively, distinguish facts from interpretations, and make inclusive, values-aware decisions that consider diverse perspectives.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Board Infinity Career Certificate

Holistic Web Development: Responsive UIs, Logic, Deployment

Master modern web development essentials from responsive UI design to server-side logic and scalable deployment, preparing for real-world tech industry challenges.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Board Infinity

Comprehensive Guide to Server-Side Logic and Development

Master server-side development essentials, from Node.js and Express.js to database management and RESTful API design. Build secure, scalable applications using MongoDB while implementing authentication and authorization.

• Coursera
• 14 hours 51 minutes
• Self-Paced
• Paid Course

Data-Driven Life Decisions

Data-Driven Life Decisions with Seth Stephens-Davidowitz, Chase Jarvis

• CreativeLive
• 1 hour 1 minute
• Self-Paced
• Paid Course

EDUCBA

Build Console Games in C: Apply Game Logic Skills

Master C programming by building interactive console games like Hangman and Tic-Tac-Toe, applying core concepts through hands-on project development and game logic implementation.

• Coursera
• 6 hours 10 minutes
• Self-Paced
• Paid Course

EDUCBA

Unreal Engine Blueprints-Advanced Gameplay and Logic Systems

Master advanced Blueprint systems to build a complete 2D arcade shooter in Unreal Engine without coding, covering gameplay logic, spawning systems, and interactive mechanics.

• Coursera
• 12 hours 51 minutes
• Self-Paced
• Paid Course

AI/ Basic Knowledge Representation And Reasoning

Explore critical thinking in AI, focusing on knowledge representation and reasoning techniques to enhance problem-solving skills in artificial intelligence.

• OpenLearning
• Self-Paced
• Paid Course

Coursera

Design Smart Surveys with Skip Logic

Master survey design with skip logic to create efficient, user-friendly questionnaires that maximize completion rates and data quality through dynamic respondent paths.

• Coursera
• 1 hour 47 minutes
• Self-Paced
• Paid Course

KodeKloud

Golang: Logic Flow and Data Collections

Master Go's logic flow and data collections — covering operators, control flow, loops, arrays, slices, and maps to build efficient, data-driven backend services.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt

Data Visualization & Advanced App Logic

Master data visualization and advanced app logic through hands-on SwiftUI development, creating dynamic charts, alarm apps, and interactive interfaces with real-world applications.

• Coursera
• 1 day 1 hour 48 minutes
• Self-Paced
• Paid Course

Mathematical Logic

Explore statements, propositions, connectives, truth tables, tautology, and contradiction in mathematical logic.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Fundamentals of Artificial Intelligence​

Build a strong foundation in AI concepts, classical methods, and introductory machine learning principles.

• OpenLearning
• 40 hours
• Self-Paced
• Paid Course

DISCRETE MATHEMATICAL STRUCTURE

Master discrete math fundamentals—logic, sets, relations, functions, graph theory, and combinatorics—to build a strong foundation for algorithm design, software development, and advanced computer science studies.

• OpenLearning
• Self-Paced
• Paid Course

人工智慧：搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

327 ratings at Coursera

本課程分為人工智慧（上）、人工智慧（下）兩部份，第一部分除了人工智慧概論外，著重在目標搜尋、meta heuristic、電腦對弈、演繹學習（包含證言邏輯、一階邏輯及 planning ）等技術。這些技術主要發展時機為人工智慧的第一波及第二波熱潮，也就是 1950 年代至 1990 年代附近的主流發展，即使到現在也在各個領域廣為應用。 課程教學目標： 使同學對人工智慧有基礎概念 同學能夠理解如何運用目標搜尋技術及演繹學習方式達成人工智慧 同學能將相關技術應用到自己的問題上

• Coursera
• 19 hours
• Self-Paced
• Paid Course