Artificial Intelligence

You’ll develop the cultural awareness and critical thinking skills you need to analyze and produce a broad range of discourse in a full spectrum of careers — and to make a difference in whatever you do.

Course 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.

Is a Career in Artificial Intelligence Right for You? Find Out!

Take the CCBST “Artificial Intelligence Career Training Readiness Quiz”

This fun, online quiz takes 3 minutes to complete and you’ll get a personalized report. Identify your strengths and social style plus the training and positions you’re best suited for. Get Your Career Training Readiness Score Now.

Course Outline:

Course Outline:  
Introduction to Artificial Intelligence (AI)  
Introduction to Python for Data Science  
Speech Recognition Systems  
Computer Vision and Image Analysis  

Course Outcomes:

      At the end of the course the student will be able to:

  • Define the features of Basics of C++ Language & Python Language for Data Science.
  • Explain Artificial Intelligence (AI), Python for Data Science & Essential Math for Machine Learning.
  • Identify and apply principles of Ethics and Law in Data and Analytics.
  • Identify Data Science Research Methods with Python.
  • Describe the Principles of Machine Learning with Python.
  • Explain the Deep learning.
  • Explain the Reinforcement Learning methods.
  • Explain the Computer Vision and Image Analysis.
  • Summarize the Speech Recognition Systems
  • Define Natural Language Processing (NLP)
Career Opportunities  
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  
Deep Learning Explained  
software design super  
system integration analyst  
system integration consultant  
systems analyst  
systems quality assurance (QA) analyst  
Course Duration:120 Hours



Are you ready to take the next step toward your future career?