FAQ

Technology is the Future, Start Yours Today!

A career in technology is an incredibly rewarding and exciting opportunity that offers so much to those willing to invest their time and energy into it. At Commonwealth, our Admissions team will strive to provide our students with an education and experience that will prepare them for a lifetime of success in the ever-evolving world of technology.

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Depending on which program you choose

Current Programs Tuition:

  • IT support – $6,000
  • Network Support – $6,000
  • Cybersecurity – $6,000
  • Generative Ai Development – $6,000
  • Intro to Ai – $999
  1. Our apllication can be found by clicking here

ZERO! No money is needed to start the program. However, funding must be in place before the first day of class.

Currently we do not. However, we have started the application process and hope to start accepting the GI bill in 2024.

Yes! All of our programs are on a live-learning hybrid platform.

An income share agreement is a financial structure in which an individual or organization provides something of value to a recipient who, in exchange, agrees to pay back a percentage of their income for a fixed number of years.

ISA are limited and are first come first serve.

Typically, graduates start paying back their ISA 30 days after they start their job. 

Yes, you need to have a laptop or computer to start.

Yes! One of our admissions coaches will happily discuss our tuition options in depth with you, as a part of the admissions process.

No, due to our recent tuition decrease. Commonwealth Coders and Cyber does not pay for certifications anymore.

No! We will teach you all of the fundamental knowledge needed to start a career in the tech field of your choosing.

Commonwealth Coders and Cyber does not guarantee employment. However, 94% of our graduates working with career services will find employment within 90 days of completing our program!

We currently do not have paid training for any of our programs.

We are not and that is by design. By not being accredited we have the flexibility to immediately change our curriculum as technology advances. Thus, keeping up with the latest trends.

  1. Throughout the program, we will review your resume/cover letter, interview preparation, job search strategies, networking opportunities, and potential employment opportunities as graduation approaches.

Unfortunately, we can’t promise jobs to individuals. However, we know the job hunt can be taxing, so we’ve created our own job board specifically for our students/graduates in Cybersecurity and Generative AI/Web Development. All prospective job opportunities stem from the skills that you will acquire in the program, and the success we’ve witnessed from previous graduates in roles that are similar. The Commonwealth Coders and Cyber Job Board is updated weekly as we confirm active opportunities in tech!

YES! We encourage all Commonwealth Coders and Cyber graduates to reach out to Career Services if and when the need arises, regardless of how long you have been in the field. Whether you need a second set of eyes for that final resume revision, or you’re looking to make the jump into a new role, we’re on standby!

Cybersecurity refers to the practice of protecting computer systems, networks, devices, and sensitive information from unauthorized access, theft, damage, or disruption. It involves a combination of technologies, processes, and practices designed to secure digital information and prevent cyber threats, such as hacking, malware, phishing, ransomware, and other types of cyber-attacks.

  1. Our apllication can be foun

    As more and more of our lives and businesses are conducted online, Cybersecurity ensures

    1. The protection of sensitive information, i.e. financial data, credit cards, health info, trade secrets and so on.

    2. Prevention of online attacks. Cyber-attacks include malware, phishing, ransomware and social engineering. These attacks can cause significant damage to computer systems, networks, and personally identifiable information (identity theft)

    3. Maintaining business operation. Businesses rely heavily on technology to operate, a cyber-attack can disrupt business, causing downtime, loss of productivity, and financial losses.

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Cybersecurity is a complex and constantly evolving field that requires ongoing learning and adaptation. The skills required to be successful in Cybersecurity include understanding computer systems, networks, encryption, and risk management. It also requires an understanding of the different types of cyber-attacks and how to defend against them. All of which we teach at Commonwealth Coders and Cyber.

Cybersecurity does not necessarily require coding, but having knowledge of programming languages can be very helpful in understanding and implementing cybersecurity measures. However, knowledge of security protocols, risk management, and threat intelligence, are what is important in this field. It is important to note that cybersecurity is a multidisciplinary field that requires knowledge in a range of technical and non-technical areas, including communication, critical thinking, and problem-solving skills.

Our Cybersecurity classes are designed for people with a range of backgrounds and experience levels, including those who are new to the field. We start with basic concepts and gradually build on them to cover more advanced topics.

After the bootcamp you will be given the tools and information to obtain an ITF, Network+ or CyberSecurity+ Cert. At completion of our program, you will be given a Certification of Completion in the learning of IT Support, Network Support and Cybersecurity.

A cybersecurity bootcamp is a great option for someone who wants to learn cybersecurity quickly and intensively, and who is looking for a structured and guided learning experience.

In our 12-week course you will learn the fundamentals of Cybersecurity, but it requires 12 weeks of focus and determination. Cybersecurity is a constantly evolving field and ongoing learning and adaption are necessary to stay current with the latest threats and best practices.

Ai, or Artificial Intelligence, refers to the simulation of human intelligence processes by machines, especially computer systems. It involves creating algorithms and systems that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, making decisions, solving problems, and learning from experience.

  1. Automation: Speeds up tasks and boosts efficiency.
  2. Data Analysis: Processes large data for insights.
  3. Decision Making: Assists in complex decisions.
  4. Personalization: Customizes user experiences.
  5. Medical Advances: Improves diagnoses and drug discovery.
  6. User Experiences: Enhances interactions via chatbots and assistants.
  7. Natural Language Processing: Enables human-machine communication.
  8. Scientific Research: Accelerates discoveries and analysis.
  9. Economic Growth: Creates jobs and new industries.
  10. Safety and Automation: Performs tasks in hazardous environments.
  11. Complex Problem Solving: Tackles intricate challenges.
  1. Programming: Key (Python), manageable if familiar with programming.
  2. Machine Learning Basics: Understandable with good resources.
  3. Algorithms and Models: Moderate to complex, depending on algorithm.
  4. Deep Learning: More complex due to neural networks.
  5. Optimization: Requires effort, involves math.
  6. NLP and Computer Vision: More challenging, specialized techniques.
  7. Real-world Application: Challenging due to practical considerations.
  8. Ethics and Bias: Important, less math-focused.

Overall, resources, practice, patience, and problem-solving are crucial for success.

  1. Implementation: Coding translates Ai concepts into functional models.
  2. Hands-on Learning: Coding lets you experiment and understand Ai deeply.
  3. Problem-Solving: Coding develops skills to solve Ai-related challenges.
  4. Real-world Application: Coding creates Ai applications for practical use.
  5. Customization: Code allows tailoring Ai models to specific needs.
  6. Python: Popular for AI due to libraries like TensorFlow and PyTorch.

Coding proficiency improves with practice, and while you don’t need to be an expert to start, coding is integral to understanding and applying AI concepts effectively.

No, we will teach you the tools to better prepare you for a career using Generative AI Development concepts. 

This depends on what you want to achieve after our program. There are Machine Learning, Deep Learning, Natural Language Processing, Data Analytics and Business Certificate

Absolutely! A Generative AI Development bootcamp is definitely worth it for anyone who’s looking to transition into a new field or even learn more skills in their current field. 

Intro to AI Development typically takes around a week to complete.

AI, or Artificial Intelligence, refers to the simulation of human intelligence processes by machines, especially computer systems. It involves creating algorithms and systems that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, making decisions, solving problems, and learning from experience.

  1. Automation: Speeds up tasks and boosts efficiency.
  2. Data Analysis: Processes large data for insights.
  3. Decision Making: Assists in complex decisions.
  4. Personalization: Customizes user experiences.
  5. Medical Advances: Improves diagnoses and drug discovery.
  6. User Experiences: Enhances interactions via chatbots and assistants.
  7. Natural Language Processing: Enables human-machine communication.
  8. Scientific Research: Accelerates discoveries and analysis.
  9. Economic Growth: Creates jobs and new industries.
  10. Safety and Automation: Performs tasks in hazardous environments.
  11. Complex Problem Solving: Tackles intricate challenges.
  1. Learning AI can be challenging, but with dedication and access to quality resources, it’s achievable for motivated learners.
  1. Implementation: Coding translates Ai concepts into functional models.
  2. Hands-on Learning: Coding lets you experiment and understand Ai deeply.
  3. Problem-Solving: Coding develops skills to solve Ai-related challenges.
  4. Real-world Application: Coding creates Ai applications for practical use.
  5. Customization: Code allows tailoring Ai models to specific needs.
  6. Python: Popular for AI due to libraries like TensorFlow and PyTorch.

Coding proficiency improves with practice, and while you don’t need to be an expert to start, coding is integral to understanding and applying AI concepts effectively.

No, we will teach you the tools to better prepare you for a career using Intro to AI concepts. 

Intro to AI Development typically takes around a week to complete.