Computer Science & Software courses

Install SQL Server to your desktop and run complex queries using the Structured Query Language (SQL). This course will cover database table structures, column data types, and the T-SQL language components that go into querying against a database. Reading data…

Learn to Share and Manipulate Spatial Data in the Web Environment Online geospatial technologies move the power of GIS from a local environment to everyone within the reach of the internet. The main goals of the course are to introduce students to many…

Intermediate Python This course utilizes the power and flexibility of the Python language to apply practical programming strategies such as the functional paradigm, modularity, parallelism, concurrency, metaprogramming, reactive programming, microservices,…

Python for Informatics Informatics is the study of structure, algorithms, behavior, and interactions of information systems. Its applications are powerful and broad, and include such fields as life sciences, data mining, business analytics, and social…

This intermediate level coding course will cover advanced JavaScript concepts and how JavaScript provides the essential foundation for the Object-Oriented pattern. Students will be introduced to the jQuery library, one of the most popular libraries and learn…

MIT xPRO presents Requirements for Large-Scale Universal Quantum Computation, an advanced Computer Science & Software course delving into quantum error correction and fault-tolerant computation thresholds. Students will examine models extending beyond…

MIT xPRO's Professional Certificate in Coding: Full Stack Development with MERN equips learners with cutting-edge skills in Computer Science & Software. This comprehensive program covers the MERN stack (MongoDB, Express.js, React, Node.js), enabling…

This course covers AI fundamentals and concepts as pertaining to finance. The course will review python programming basics such as Basic Input-Output Operations, Basic Operators, Conditional Execution, Loops, and Lists. The focus will be on how to utilize…

The main objective of this course is to introduce the fundamentals of remote sensing and related applications in the era of cloud computing. Our goal is to transition from GUI and/or code based remote sensing software that runs on PCs, MACs and/or local…

This course introduces the methods, techniques, and considerations behind geographic data visualization and GIS mapping. The first and most significant portion of the course covers best practices for cartographic design, including topics and techniques…

This course introduces concepts and techniques associated with the design, development, and management of geospatial databases, including databases used in shared and scalable enterprise GIS platforms. In addition to learning about relational database theory…

This hands‑on, exercise‑driven course introduces students to the foundational concepts, tools, and analytical techniques that underpin modern data‑driven decision‑making. Learners will explore the role of data science in organizational strategy while…

The internship course offers eligible students the opportunity to earn credit toward their certificate program through a supervised internship of at least 120 hours, allowing for the practical application of knowledge and skills gained in their coursework.…

Introduction to linear algebra: Systems of linear equations Matrix algebra Linear independence Subspaces, bases and dimension Orthogonality Least-squares methods Determinants Eigenvalues and eigenvectors Matrix diagonalization Symmetric matrices

This course offers a modern take on the critical discipline of systems analysis, specifically designed for professionals navigating today's complex technological landscape. We will explore traditional systems analysis methodologies and how they are evolving…

Data Structures and Algorithms provides students with a solid foundation in the essential concepts that support effective software development. Students will build a strong understanding of core data structures and algorithmic principles, including complexity…

This course introduces data engineering. Learn about problems, opportunities and challenges that data engineering and technologies solve, including data collection, storage, processing, and analysis. Explore the technologies and tools used in data…

This 10-week hands-on course takes you from generative AI fundamentals to production-grade applications. You will build real systems using the same tools and frameworks used in industry: PyTorch, Hugging Face, LangChain, and modern LLM APIs, and leave with a…

Deep Learning is designed to provide students with a solid understanding of deep learning principles, techniques, and applications. The course is structured to cover both theoretical concepts and hands-on implementation, ensuring students are equipped with…

This course introduces machine learning using R. Students will learn structured and unstructured data processing, linear regression modeling and non-linear modeling methods used in machine learning algorithm development, optimization techniques, neural…

Elevating Aerospace: Design Thinking for Safety Critical AI is a hands-on, applied course for aerospace professionals seeking practical, responsible, and deployment-oriented AI capabilities in regulated and mission-critical environments. Rather than focusing…

This course moves students from AI awareness and problem framing into structured execution. Building on the problem statements and AI foundations developed in Course 1, students learn how to translate aerospace challenges into practical AI-enabled workflows…

This capstone course brings together the full learning journey: problem identification, AI foundations, workflow design, secure architecture, governance, and deployment planning. Students apply what they have learned to design a practical AI solution for a…

This course develops the practical execution capability needed to design and secure AI-enabled systems in aerospace and other regulated environments. Students become “dangerous with tools” in a controlled and responsible way: capable of experimenting with…

This course prepares students to design, build, and deploy advanced agentic AI systems by combining core theory with hands-on implementation. Students will work with three leading frameworks: CrewAI, Google ADK, and n8n, while learning the principles that…

Lecture, four hours; laboratory, two hours; outside study, six hours. Prerequisite: course 180. Introduction to fundamental problem-solving and knowledge representation paradigms of artificial intelligence. Introduction to Lisp with regular programming…

This course provides a comprehensive introduction to generative AI, combining theoretical foundations with hands-on practice. Students will explore the historical evolution of generative models, beginning with early statistical methods and advancing through…

This hands-on course introduces students to the design and development of Retrieval-Augmented Generation (RAG) systems, powerful architectures that combine large language models (LLMs) with external knowledge sources to improve accuracy, reduce…

This course explores the theoretical concepts, design principles, and practical applications of large language models (LLMs). Students will gain a deep understanding of how LLMs process and generate human language, with a focus on both conceptual…

Explore the dynamic intersection of artificial intelligence and cybersecurity in this hands-on, six-week course. Designed for students with basic general knowledge of cybersecurity concepts, this course examines how AI is reshaping the cybersecurity…

This course provides a comprehensive foundation in building trustworthy machine learning systems, with emphasis on generative AI applications. Students will develop both theoretical understanding and practical implementation skills across key areas: model…

This course provides an in-depth exploration of machine learning systems design, covering the complete lifecycle from project scoping and data acquisition to model deployment and monitoring. We connect theoretical foundations with practical application,…

Dive into concepts and techniques of computer vision and deep learning. Students will develop proficiency in Python programming, with special emphasis on image processing, feature extraction, and neural network architectures designed for visual data. The…

AI is rapidly advancing beyond simple prompts and chatbot interactions, transforming how organizations build intelligent tools and automate complex workflows. In this session, Steve Anderson will break down four foundational concepts driving today’s most…

Navigate the world of AI responsibly and with confidence. This is an essential topic on understanding the risks and ethical implications of artificial intelligence technologies. Designed for non-coders, this course is the perfect gateway to a career shift…

As AI tools reshape how students create, research, and solve problems, traditional grading models are becoming less meaningful. This course explores practical alternatives including portfolio-based assessment, process documentation, narrative feedback, and…

Navigate the world of AI responsibly and with confidence. This is an essential topic on understanding the risks and ethical implications of artificial intelligence technologies. Designed for non-coders, this course is the perfect gateway to a career shift…

Artificial intelligence is transforming the way we design technologies, work, communicate, learn, and make decisions. As AI becomes integrated into the tools and services we use every day, understanding how intelligent technologies shape human thinking,…

Build and deploy six AI applications in six weeks: a semantic image search engine, a benchmarked visual question‑answering app, a real‑time voice agent, a document Q&A system with cited answers over real PDFs, a cross‑modal generative studio, and a capstone…