Artificial Intelligence Program
Artificial Intelligence is transforming the personal and professional lives of people across the world. AI refers to the development of computer systems that can perform tasks usually requiring human intelligence, such as visual perception, speech recognition, and even decision-making. Students participating in this course will learn how to apply these technologies to a number of undertakings to benefit organizations seeking to improve outcomes and productivity and to compete in this new tech-driven economy. Whether students are just starting out, building on existing IT skills, or sharpening their AI knowledge, Artificial Intelligence program can help student be more effective and do more in the AI. Student’s will also learn the fundamentals of Python language, principles of machine learning with python and Modern Robotics.
Upon successful completion of this course student will learn and will be familiar with;
AI’s current capabilities and applications—and its future potential
Grasp the technical aspects of AI well enough to communicate effectively with technical teams and colleagues
Learn how to avoid pitfalls associated with these new technologies
Use Python and Microsoft Cognitive Services to work with text, speech, images, and video
Build simple machine learning models with AWS Machine Learning
Use the Microsoft Bot Framework to implement conversational bots
Explore Python language fundamentals, including basic syntax, variables, and types
Will be familiar with the following concepts and techniques such as mathematical Equations, Functions, Graphs, Differentiation and Optimization, Vectors and Matrices, Statistics and Probability, Data analysis and inference, Data science research design, Experimental data analysis and modeling, Reinforcement Learning Problem, Markov Decision Process, bandits, Dynamic Programming
Foundational abilities in applying ethical and legal frameworks for the data profession
Applied data methods for ethical and legal work in Analytics and AI
Data exploration, preparation, and cleaning
Supervised and unsupervised machine learning techniques
The components and basic types of deep neural networks and how they work together
A working knowledge of vocabulary, concepts, and algorithms used in deep learning
Apply deep learning models on natural language applications, image captioning and visual question answering a to solve machine translation and conversation problems
Artificial Intelligence: Practicum (350 hours)
Graduates of this program will be able to start their career with entry-level positions in medium to large-sized companies as an;
applications analyst – computer systems
artificial intelligence analyst
computer simulations analyst
computer systems development coordinator
informatics applications analyst
informatics quality assurance (QA) analyst
information systems analyst – computer systems
information systems contingency coordinator
information systems quality assurance (QA) analyst
information technology (IT) analyst
simulations analyst – computer systems
system integration analyst
system integration consultant
systems quality assurance (QA) analyst
Artificial Intelligence (AI) Software is a computer program which mimics human behavior by learning various data patterns and insights. ... AI combined with Machine learning is used to provide users with the required functionality and make the business process a much simpler one. https://ccbstcollege.com/program/artificial-intelligence-program/