Generative Ai Development

Generative AI Development focuses on integrating essential tech for business solutions. Commonwealth Coders and Cyber 3-phase course covers core concepts and principles. Phase 1 teaches CSS, HTML, JavaScript, and Bootstrap, with students creating personalized Web Portfolios. Phase 2 covers advanced JavaScript, React.js, Node, and Express.js, culminating in a dynamic website. Phase 3 involves mastering AI prompting for website creation, activation, maintenance, and updates. JavaScript is integral to all phases, ensuring comprehensive knowledge for building and maintaining functional, dynamic sites.

Full Time – 12 Weeks | Part Time – 24 weeks | Online or In-person Courses | Beginner Friendly

Upcoming Programs

Industry Relevant Skills

Phase 1

Responsive Web Design

  • HTML
  • CSS
  • Bootstrap
  • Responsive Web Design
  • JavaScript

Phase 2

Frontend Web Design

  • React/JSX
  • JWT
  • Redux
  • Node + NPM 
  • ES6

Phase 3

Generative AI

  • NoSQL (MongoDB)
  • AI Prompting
  • Learning the How LLMs
  • Create AI Chatbot w/React
  • Create Website with AI

Curriculum Question?

Let us know

Schedule a one-on-one with one of our instructors.

We will work around your schedule!

TESTIMONIALS

Student Successes

Where are They Now?

CAREER SERVICES

Prepare for a New Career

Commonwealth Coders and Cyber is dedicated to providing top-tier career services and job support for individuals pursuing opportunities in the tech sector. Our friendly and experienced Career Services team is committed to assisting individuals at all stages of their career journey, offering personalized guidance and coaching to help you achieve success in the tech industry.

Financing

Pay in Full

Pay prior to your first day of class.

Up to $6,000

Pay with Affirm

Coming soon!

Up to $6,000

Climb Credit Loan

Students can make manageable monthly payments over a few months or years.

Up to 100% of tuition

Paypal

Coming soon!

Up to 100% of tuition

County-Based Funding

Commonwealth is an approved training provider in the states of Ohio, Kentucky and are currently seeking approval in all 50 states, under the Workforce Innovation and Opportunity Act (WIOA). WIOA assists in potential funds for a student going through training in hopes of finding a career upon completion. This varies by the specific county of residence. Please click HERE for further assistance.

Up to 100% of tuition

Income Share Agreement (ISA)

Student will pay a $2,000 application + $25 monthly maintenance fee.  Students will not pay any tuition until they’ve completed or withdraw(?) from our program and are at a job making $30,000+

Up to 100% of tuition

FAQ

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 the 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 Certificates

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. 

Generative AI Take around 3 months to finish