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STC Computer Information Technologies program leads the way for AI education

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Artificial Intelligence (AI) is at the core of South Texas College’s Bachelor of Applied Technology in Computer Information Technology (BAT-CIT) program as it pioneers industry certificates on a statewide and national scale for students.

Leadership and faculty with the program say they have now awarded more than 2,250 certificates to students taking BAT-CIT courses in the five years since integrating what the program calls AI-focused “microcredentials” tied to Google and Amazon Web Services (AWS) in fall 2020. 

The priority on industry credentials is giving graduates a unique and competitive edge in the job market, according to program Department Chair Saeed Molki.

“In the entire state of Texas and throughout the entire United States, no one has done such a thing,” Molki said, referring to the number of credentials awarded to students. “We do not overstate all the work we have done for students in the last five years.”

Crediting college leadership including STC President Ricardo J. Solis, Ph.D., along with Vice President and Provost for Academic Affairs and Economic Development, Anahid Petrosian, Ph.D., and Dean of Math, Science, IT and Bachelor Programs Ali Esmaeili, Ed.D., for encouraging the push toward microcredentials and AI, Molki said the effort began with a vision to embed industry certifications directly into courses. 

The effort culminated this year in 2025 as the program added four new AI-related courses, which includes an Advanced Artificial Intelligence course for fourth-year students and an upcoming Data Science and Machine Learning in Cybersecurity course which begins in spring 2026.

Each course is meant to build on the last to create a progressive pathway to advanced AI concepts, according to BAT-CIT faculty.





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Google’s top AI scientist says ‘learning how to learn’ will be next generation’s most needed skill

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“One thing we’ll know for sure is you’re going to have to continually learn … throughout your career,” he said [File]
| Photo Credit: REUTERS

A top Google scientist and 2024 Nobel laureate said Friday that the most important skill for the next generation will be “learning how to learn” to keep pace with change as Artificial Intelligence transforms education and the workplace.

Speaking at an ancient Roman theatre at the foot of the Acropolis in Athens, Demis Hassabis, CEO of Google’s DeepMind, said rapid technological change demands a new approach to learning and skill development.

“It’s very hard to predict the future, like 10 years from now, in normal cases. It’s even harder today, given how fast AI is changing, even week by week,” Hassabis told the audience. “The only thing you can say for certain is that huge change is coming.”

The neuroscientist and former chess prodigy said artificial general intelligence — a futuristic vision of machines that are as broadly smart as humans or at least can do many things as well as people can — could arrive within a decade. This, he said, will bring dramatic advances and a possible future of “radical abundance” despite acknowledged risks.

Hassabis emphasised the need for “meta-skills,” such as understanding how to learn and optimising one’s approach to new subjects, alongside traditional disciplines like math, science and humanities.

“One thing we’ll know for sure is you’re going to have to continually learn … throughout your career,” he said.

The DeepMind co-founder, who established the London-based research lab in 2010 before Google acquired it four years later, shared the 2024 Nobel Prize in chemistry for developing AI systems that accurately predict protein folding — a breakthrough for medicine and drug discovery.

Greek Prime Minister Kyriakos Mitsotakis joined Hassabis at the Athens event after discussing ways to expand AI use in government services. Mitsotakis warned that the continued growth of huge tech companies could create great global financial inequality.

“Unless people actually see benefits, personal benefits, to this (AI) revolution, they will tend to become very skeptical,” he said. “And if they see … obscene wealth being created within very few companies, this is a recipe for significant social unrest.”

Mitsotakis thanked Hassabis, whose father is Greek Cypriot, for rescheduling the presentation to avoid conflicting with the European basketball championship semifinal between Greece and Turkey. Greece later lost the game 94-68.



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Foxconn advances strategic investments to lead AI smart glasses industry

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As the smartphone market nears saturation, smart glasses are emerging as the next frontier for AI-enabled wearable devices. Foxconn is positioning itself beyond contract assembly by investing in local augmented reality (AR) technology company Jorjin…





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5 Ways to Prepare your Facility for AI Implementation

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Learn five key areas to target when laying the groundwork for a potential AI implementation at your facility.

Brand Insights from Easy Automation, Inc.

 

We are in a transformative era, marked by the increasing implementation of AI in both our personal and professional lives. We’ve already seen tools like ChatGPT make their way into our conversations, and we don’t see these new tools going away. While there are still many unknowns surrounding AI and its potential benefits in agricultural facilities, we believe there is a significant opportunity for these new technologies to enhance the efficiency, safety, and profitability of our facilities.

While there are many different levels of comfort and acceptance in implementing AI tools at our facilities, we’ve identified five key areas to target when laying the groundwork for a potential AI implementation at your facility.

  1. Clean and Refine Existing Data
  2. Identify Missing Data and Capture It
  3. Modernize Technology Stack and Storage
  4. Clarify and Enhance Data Security
  5. Align with Forward-Moving Partners

Clean and Refine Existing Data

Where is your data being recorded and stored? How many different software programs or spreadsheets do you have that store your data? Are those individual systems talking to each other, or is there duplicate data? AI technology can only run as efficiently as the data that is provided. In the agricultural facilities we work with, we often see multiple different software programs, including accounting, formulation, order management, trucking, automation, and many others. While many of these programs are necessary for each facility to achieve its business objectives, the systems must work together to provide clean, accurate, and real-time data to be compatible with any future AI integration.  

Identify Missing Data and Capture It

Is there an area in your operation where you don’t have any real information or data? Consider your equipment, hazard monitoring sensors, bin levels, truck routing, fleet management, and truck flow within your facility. What comes to mind for your facility? While some new-built facilities capture all this information from the beginning, as our facilities evolve, there are often areas that are missed. Without this data, we are seeing an inaccurate picture of your whole facility from a data standpoint. The power of AI lies in its ability to see the complete picture of data and draw insights and predictions from historical data. Invest in identifying your missing data and take steps to capture it in preparation for future AI implementation.

Modernize Technology Stack and Storage

At a minimum, your facility needs to be connected to the internet, and data must be stored on an accessible platform. Unfortunately, Excel documents on a desktop won’t suffice. Our recommended criteria for modernizing your technology stack include storing in an easily accessible database that offers API connectivity and cloud-based storage. They can log real-time, all-inclusive facility data quickly and accurately. We aim to avoid data silos with multiple disparate data storage areas and prevent systems that are difficult to access or integrate with. API connectivity will be essential, and we want to avoid any systems that require cumbersome custom development to connect to.

Clarify and Enhance Data Security

Security must be at the forefront of the AI implementation conversation. Your data is one of your most valuable assets.  We want to ensure that where you place your data or who you allow to analyze it is a reputable source that has been rigorously vetted. Before placing your data in any AI program, it is essential to understand all of the data privacy and security terms and conditions.

Align with Forward-Moving Partners

Do you want to be an expert in AI implementation at your facility? Maybe. However, we recommend aligning yourself with a partner in the industry who is moving forward in that direction and allowing them to become experts, meeting your needs in this area. It is essential to ask questions that provide insight into where that partner is today, as well as where they are headed in the future. Add it to your company’s roadmap and ensure it is also included on your partners’ roadmaps. 

At Easy Automation, we have AI implementation on our roadmap and are actively taking steps forward to provide a solution that makes the most sense for our customers. Are you interested in seeing how we might align or learning more about this? Contact our team at 507-728-8214 or by visiting our website at www.easy-automation.com.


Written by Brian Sokoloski – CTO at Easy Automation, Inc.



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