Philadelphia Institute of Science and Technology

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Artificial Intelligence

PHILLY-TECH’S Artificial intelligence (AI) program provides students the ability of a computer and a robot controlled by a computer system to do tasks that are usually done by humans because they require human intelligence and discernment. At PHILLY-TECH, students will learn the branch of computer languages and programs that emphasize the development of intelligent machines that think and work like humans.

The program will continuously adapt to evolving AI technologies and practices. Students will have the opportunity to engage in cutting-edge AI research and projects, preparing them for careers in AI development, data science, machine learning, and AI applications in various industries.

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Diploma in Artificial Intelligence Application Program

Duration: 1 to 2 years (4 Trimesters).

Prerequisites: High school diploma or equivalent.

AI 100: Introduction to Artificial Intelligence (AI)

  • Overview of AI and its applications
  • The role of AI in modern technology
  • Ethical considerations in AI development

AIMATH 100: Mathematics and Statistics for AI

  • Fundamentals of linear algebra and calculus
  • Probability and statistics for machine learning
  • Mathematical modeling in AI

AIPRO 100: Programming Fundamentals

  • Introduction to programming languages (Python, Java, etc.)
  • Algorithm design and development
  • Data structures and algorithms

AIML 100: Machine Learning Basics

  • Introduction to machine learning concepts
  • Supervised and unsupervised learning
  • Data preprocessing and feature engineering

AIML 101: Advanced Machine Learning Algorithms

  • Regression and classification models
  • Ensemble methods (random forests, gradient boosting)
  • Neural networks and deep learning

AIML 102: Deep Learning Frameworks

  • Introduction to deep learning libraries (TensorFlow, PyTorch)
  • Convolutional neural networks (CNNs)
  • Recurrent neural networks (RNNs)

AINLP 100: Natural Language Processing (NLP)

  • Basics of NLP and its applications
  • Text processing and analysis
  • Language models and sentiment analysis

AICOM 100: Computer Vision

  • Image processing and computer vision techniques
  • Object detection and image recognition
  • Applications in autonomous vehicles and robotics

AIBUS 100: AI in Business and Industry

  • AI applications in finance, healthcare, and retail
  • Business process automation with AI
  • Case studies and industry-specific applications

AIETH 100: AI Ethics and Regulations

  • Ethical considerations in AI development and deployment
  • Bias and fairness in AI algorithms
  • Regulatory frameworks for AI

AIPROJ 100: AI Project Management

  • Project planning and scoping in AI applications
  • Budgeting and resource allocation
  • Risk management in AI projects

AICAPP 100: Capstone Project

  • Independent AI project development
  • Real-world application of AI technology
  • Presentation and documentation of the project

AIRINV 100: AI Research and Innovation

  • Advanced research methods in AI
  • Theoretical foundations of AI algorithms
  • Research publication and presentation

AIAUTO 100: AI in Robotics and Automation

  • Robotics and automation using AI
  • Reinforcement learning and robot control
  • AI-driven automation in manufacturing

AIHCAR 100: AI in Healthcare

  • Applications of AI in medical diagnosis and treatment
  • Health data analysis and predictive analytics
  • Ethical considerations in healthcare AI

AIFTES 100: Final Assessment and Certification

  • Final assessment and evaluation of knowledge and skills

Successful completion of the program leads to the award of the Diploma in Artificial Intelligence Application

Students have to contact the school administration if they want to take extra credits or transfer credits to pursue the Diploma Certificate or Associate of Applied Science (A.A.S.) Degree in their field of interest.  Students will select required number courses in each of the areas listed to meet general education requirements graduation for the A.A.S.  Some of these courses can be transferred directly from and to the university system and may be substituted for recommended courses on the outline.  Students should speak with an advisor before doing so these selective courses are required for all students.

  • Selected Communication Course (Choose two for Diploma or three for the Associate)

ENGL 100: Fundamentals of Speech

CPL    100: Career Planning  

CPL    101: Communications and Career Strategies

ENGL 101: Composition

ENGL 102: composition

  • Selected Mathematics Course (Choose two for Diploma or three for the Associate)

MATH 100:General Math

MATH 101:Intermediate Algebra

MATH 102:College Algebra

  • Selected Social Science Course (Choose two for Diploma or four for the Associate)

ECON 105:Leadership

ECON 101:Principles of Microeconomics I

ECON 102:Principles of Macroeconomics II

SOC    101:Introduction to Sociology

PSYC  101: Introduction to Psychology

HIST   101: History