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School Name: University of the Pacific
School POC: Career Services
University of the Pacific Webpage

  

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School Name: University of San Francisco
School POC: Career Services
University of San Francisco Webpage

  

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School Name: University of San Diego
School POC: Career Services
University of San Diego Webpage

  

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School Name: California Southern University
School POC: Career Services
California Southern University Webpage

  

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School Name: University of Southern California
School POC: Career Services
University of Southern California Webpage

  

School Statistics:
  321     1%-5%


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School Name: Touro University
School POC: Career Services
Touro University Webpage

  

School Statistics:
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School Name: Santa Clara University
School POC: Career Services
Santa Clara University Webpage

  

School Statistics:
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Open IT Professional Apprenticeship/CP-ITAC2024-1 3/5/2024 Virtual Unleashing Your Harnessed Potential   $289  

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School Name: Pepperdine University
School POC: Career Services
Pepperdine University Webpage

  

School Statistics:
  350     1%-5%


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School Name: University of California, Los Angeles
School POC: Career Services
University of California, Los Angeles Webpage

  

School Statistics:
  900     1%-5%


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Open IT Professional Apprenticeship/CP-ITAC2024-1 3/5/2024 Virtual Unleashing Your Harnessed Potential   $289  

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School Name: University of California, Berkeley
School POC: Career Services
University of California, Berkeley Webpage

  

School Statistics:
  350     1%-5%


Term   Course Title/Number   Register NLT Date   Location   Textbook   Fee  
Open IT Professional Apprenticeship/CP-ITAC2024-1 3/5/2024 Virtual Unleashing Your Harnessed Potential   $289  

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School Name: Saint Mary's College
School POC: Career Services
Saint Mary's College Webpage

  

School Statistics:
  50     1%-5%


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Open IT Professional Apprenticeship/CP-ITAC2024-1 3/5/2024 Virtual Unleashing Your Harnessed Potential   $289  

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School Name: San Diego State University
School POC: Career Services
San Diego State University Webpage

  

School Statistics:
  200     1%-5%


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Term Of The Day: Computer
WHAT IS A COMPUTER? A computer is a programmable machine. The two principal characteristics of a computer are: It responds to a specific set of instructions in a well-defined manner, and it can execute a prerecorded list of instructions (a program). Modern computers are electronic and digital. The actual machinery wires, transistors, and circuits are called hardware; the instructions and data are called software. All general-purpose computer systems require the following hardware components: Memory: Memory enables a computer to store, at least temporarily, data and programs. Mass storage device: This allows a computer to permanently retain large amounts of data. Common mass storage devices include solid state drives (SSDs) or disk drives and tape drives. Input device: Usually a keyboard and mouse, the input device is the conduit through which data and instructions enter a computer. Output device: An output device is a display screen, printer, or other device that lets you see what the computer has accomplished. Central processing unit (CPU): The heart of the computer, this is the component that actually executes instructions. A motherboard: This component allows all of the other components to communicate with one another. WHEN WAS THE FIRST COMPUTER INVENTED? The first mechanical computer was developed in the early 19th century by Charles Babbage, an English engineer, and Ada Lovelace, a mathematician. At the computer’s core was the Difference Engine, which was responsible for making calculations using multiple sets of numbers printing the outputs. The first digital computer was the Atanasoff-Berry Computer (ABC). The ABC was developed in 1942 by Iowa State University professor John Vincent Atanasoff and graduate student Cliff Berry. This computer used vacuum tubes to make binary computations and processed Boolean logic. However, the ABC lacked a CPU and was, therefore, not programmable. Subsequent computer evolutions added programming capabilities, RAM, transistors, microprocessors, and portability as key characteristics.






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A: To get a job in artificial intelligence, you'll want to earn a bachelor's degree in computer science or a related major. Also, consider pursuing a postgraduate degree in the field and build your experience and portfolio.

A: Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.


A: Programming. Whatever Artificial Intelligence career you're looking to pursue developing a strong knowledge of programming languages is a key skill that you need to harness

Database Modelling, Data Warehousing and Data Processing
Machine Learning
Knowledge of Intelligent User Interfaces (IUI)
Problem Solving


A: Learning AI is not an easy task, especially if you're not a programmer, but it's imperative to learn at least some AI. It can be done by all. Courses range from basic understanding to full-blown master's degrees in it. And all agree it can't be avoided.

A: Required Minimum Experience And Education: 5 or more years of experience in related field or any combination or equivalent education, experience, and formal training that allows the candidate to meet the requirements of the job.


A: AI engineering is a vast field, and the artificial intelligence engineer's responsibilities include problem-solving by creating innovative AI products. They are also responsible for maintaining the existing AI systems and infrastructure.


A: A bachelor's degree in computer science is essential for any employment in artificial intelligence. Many companies and enterprises prefer a Master's or higher degree in computer science for the same position. A solid portfolio or prior programming skills might serve as an alternative to a master's degree.


A: It may be beneficial to learn to code in Python before learning artificial intelligence. The Python programming language is frequently used in AI programming. AI also requires a strong foundation in math, statistics, and data structures. A good AI course covers all of these topics, as well as programming.


A: AI is essentially a lot of math, consisting of algorithms, calculations, and other types of data. This is the back end or behind-the-scenes training that most people don't see. However, in the same way you must train your human teams, you must train your AI.

A: Python and Java are both languages that are widely used for AI. The choice between the programming languages depends on how you plan to implement AI. For example, in the case of data analysis, you would probably go with Python.


A: Narrow AI or ANI
Artificial general intelligence or AGI
Strong AI or ASI
Reactive machines
Limited memory
Theory of mind
Self-awareness








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