Learn Artificial Intelligence - Enroll to Artificial Intelligence Program

Description

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.

Course Outcomes:

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 an to solve machine translation and conversation problems

Artificial Intelligence: Practicum (350 hours)

Career Opportunity:

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 analyst
• computer simulations analyst
• computer systems 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
• software design super
• system integration analyst
• system integration consultant
• systems analyst
• systems quality assurance (QA) analyst

Course Duration

52 Weeks (1300 Hours)