Foundations for AI
Semesters 1, 2, 3 & 4

A comprehensive programming course – divided into four semesters – designed to give you all the knowledge required to get hands on building AI solutions within a single year.

Who This Course Is For

This course is designed for individuals who want a rigorous, structured entry into computer science without requiring prior programming experience. It is ideal for learners who seek a true foundational understanding of how software, systems, and data work. Our intensive foundational course is comparable to the core curriculum covered during traditional University Computer Science programs.

This course is for anyone that:

  • Wants to understand how AI systems actually work under the hood

  • Is curious about computer science, programming, and modern AI infrastructure

  • Wants to move beyond using AI tools and start building technical fluency

  • Needs a strong foundation before diving into machine learning or advanced AI topics

  • Is interested in Python, cloud systems, networking, or data structures

  • Wants to understand the technology powering modern AI platforms

  • Prefers structured, step-by-step learning rather than scattered tutorials

  • Is preparing for deeper study in AI, software engineering, or computer science

No coding experience required. No prerequisites!

Summer 2026: Starting May 11

Days of the Week Times Price Click to Enroll
Monday, Wednesday, Friday
1 Hour per Class

6:00 PM – 7:00 PM EST

$750 per Semester
($18.52/ Live Lecture Hour)

 Enroll Now
Tuesday, Thursday, Saturday
1 Hour per Class

7:30 AM – 8:30 AM EST

 $750 per Semester
($18.52/ Live Lecture Hour)		 Enroll Now
Days of the Week Times Price Click to Enroll
Monday, Wednesday, Friday
1 Hour per Class

7:30 AM – 8:30 AM EST

$750 per Semester
($18.52/ Live Lecture Hour)

 Enroll Now
Monday, Wednesday, Friday
1 Hour per Class

8:30 AM – 9:30 AM EST

 $750 per Semester
($18.52/ Live Lecture Hour)		 Enroll Now
Days of the Week Times Price Click to Enroll
Monday, Wednesday, Friday
1 Hour per Class

6:00 PM – 7:00 PM EST

$750 per Semester
($18.52/ Live Lecture Hour)

 Enroll Now
Tuesday, Thursday, Saturday
1 Hour per Class

7:30 AM – 8:30 AM EST

 $750 per Semester
($18.52/ Live Lecture Hour)		 Enroll Now
Days of the Week Times Price Click to Enroll
Monday, Wednesday, Friday
1 Hour per Class

6:00 PM – 7:00 PM EST

$750 per Semester
($18.52/ Live Lecture Hour)

 Enroll Now
Tuesday, Thursday, Saturday
1 Hour per Class

7:30 AM – 8:30 AM EST

 $750 per Semester
($18.52/ Live Lecture Hour)		 Enroll Now

 

Available Class Times

Monday, Wednesday, Friday
1 Hour per Class

6:00 PM – 7:00 PM EST

Enroll Now
Tuesday, Thursday, Saturday
1 Hour per Class

7:00 AM – 8:00 AM EST

Enroll Now

 

Available Class Times

Monday, Wednesday, Friday
1 Hour per Class

7:30 AM – 8:30 AM EST

Enroll Now
Monday, Wednesday, Friday
1 Hour per Class

8:30 AM – 9:30 AM EST

Enroll Now

 

Available Class Times

Monday, Wednesday, Friday
1 Hour per Class

6:00 PM – 7:00 PM EST

Enroll Now
Tuesday, Thursday, Saturday
1 Hour per Class

7:00 AM – 8:00 AM EST
Enroll Now

 

Available Class Times

Monday, Wednesday, Friday
1 Hour per Class

6:00 PM – 7:00 PM EST

Enroll Now
Tuesday, Thursday, Saturday
1 Hour per Class

7:00 AM – 8:00 AM EST

Enroll Now

This comprehensive online program hosted on Canvas introduces students to the technical foundations that power
modern artificial intelligence systems. The curriculum blends core computer science principles with practical
programming and infrastructure knowledge, guiding learners from binary fundamentals to real-world AI environments.

Students explore how software, networks, data, and cloud systems work together to support intelligent applications.
Through hands-on activities and guided exercises, learners develop proficiency in Python, algorithms, data
structures, and system design concepts essential for understanding today’s AI landscape.

The course emphasizes practical understanding rather than abstract theory. Participants build the technical literacy
needed to navigate AI workflows, collaborate with engineers, and understand how large-scale AI systems are
designed and deployed.

By the end of this course, students will be able to:

  1. Explain foundational computer science concepts including binary systems, computation, and software
    architecture
  2. Apply core programming principles using Python to solve structured problems
  3. Describe networking fundamentals and how distributed systems support cloud-based platforms
  4. Utilize version control, development tools, and programming best practices in technical projects
  5. Evaluate how cloud computing and infrastructure enable scalable AI applications
  6. Connect foundational CS concepts to real-world systems and modern software development practices

Upon successful completion of this course, students will:

  • Demonstrate a working understanding of computer science fundamentals that underpin AI technologies
  • Write structured Python programs using functions, data structures, and modular design
  • Navigate technical discussions around infrastructure, deployment, and system architecture with confidence
  • Build small-scale technical projects that integrate programming, data handling, and system concepts
  • Develop the technical foundation needed to progress into machine learning, data science, or advanced AI study

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