In Kable Academy’s Intro to AI course, you’ll learn about AI Prompting, a technique utilizing Artificial Intelligence (AI) systems such as ChatGPT to give instructions or pose questions to achieve specific goals. Throughout the course, you’ll gain insights into the underlying principles of AI prompting, empowering you to streamline workflows, make informed decisions, and automate repetitive tasks effectively, whether you’re a professional seeking to optimize business processes or an individual simplifying daily routine. Our goal for you in the class is to LIVE MORE AND WORK LESS!

Part-time 1-week | Online Courses | Beginner Friendly


Day 1

  • Intro To AI
  • Understanding technique utilizing Artificial Intelligence (AI) systems such as ChatGPT to give instructions or pose questions to achieve specific goals
  • ChatGPT
  • Copilot
  • Gemini

Day 2

  • Text to Image
  • Creating full images with various technologies 
  • Dall-e
  • Copilot
  • Dream Studio

Day 3

  • Text to video
  • Creating videos for Instagram and YouTube with AI
  • Invideo AI
  • Sora
  • Runway
  • ditioning Techniques using AI

Day 4

  • Text to audio
  • Speechify
  • PlayHT
  • EvenLabs
  • Q&A

Student Successes

Payment Options

Pay in Full

Pay prior to your first day of class.



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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.

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 Generative AI Development concepts. 

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