Logic programming is a cornerstone of modern artificial intelligence, relying on the inference of facts. This approach allows developers to express knowledge as logical relationships rather than mere sequences of execution steps. Prolog stands out as a premier language designed for this purpose; it utilizes a database of facts and rules to derive new conclusions based on specific queries. Dynamic knowledge updates—such as adding or deleting information—can be performed with great flexibility within these programs. Prolog contributes significantly to natural language processing and the construction of formal grammars. Meanwhile, Python serves as a fundamental pillar for artificial intelligence and machine learning applications, distinguished by its flexibility, readability, and extensive data-oriented libraries. Integrating Prolog and Python enables the combination of logical inference capabilities with computational flexibility. Python is highly efficient for building neural networks, analyzing patterns, and implementing deep learning. While Prolog focuses on symbols and rigorous logical relationships, Python excels at handling numerical data and statistics. This integration assists researchers in simulating human reasoning processes and making accurate decisions. Modern AI research focuses on developing systems capable of explaining their decisions to users. Search algorithms play a vital role in guiding programs toward optimal solutions at the lowest possible cost; informed search and hill-climbing algorithms, in particular, are essential tools for solving complex problems. Associative neural networks effectively handle associative memory and the updating of software weights. Public and private databases play a pivotal role in information storage and retrieval. Programming languages ​​contribute to automating complex processes and reducing the human effort involved. The use of specific grammatical rules enables the understanding of linguistic structures and the analysis of complex sentences. Modern programming environments support developers in rapidly and efficiently writing and debugging code. A deep understanding of data structures and algorithms aids in building more stable software. Programming technologies are constantly evolving to meet the growing demands of the Fourth Industrial Revolution. Academic institutions strive to integrate these advanced technologies into modern curricula. Ongoing scientific research contributes to finding innovative solutions for contemporary programming challenges. Logic programming languages ​​serve as powerful tools for analyzing complex systems and making decisions. Artificial intelligence applications require robust, integrated development environments to ensure optimal performance. Organizing programming knowledge helps accelerate search processes and access to results. Various programming languages ​​integrate to provide comprehensive, holistic solutions to technical problems. The evolution of artificial intelligence algorithms opens new horizons across diverse and important fields. Logic programming and artificial intelligence remain fertile grounds for continuous innovation and development. Al-Mustaqbal University ranks first among private universities in Iraq.