Intro to Artificial Intelligence

About

An interactive, four-week online introductory instruction program focused on increased proficiency and competency with AI. The course will be provided utilizing the Moodle Learning Management System (Moodle LMS) and Open-Source Learning Resources.

Appointment-based live tutoring sessions will be offered to provide students with extra support and in-depth assistance with course material. Small class sizes (12-15 participants) will be emphasized to facilitate 1-on-1, personalized support.

Dates: November 10 to December 3, 2026 
Time: Tuesdays & Thursdays| 5:30 pm to 7:30 pm PT.

Open to all MNBC Citizens. No prerequisites other than a desire to learn about Artificial Intelligence.

Course Overview

Below is the curriculum for beginners, focused entirely on hands-on, practical activities. Each session includes a clear title and two activities designed for active skill-building and real-world application. All sessions avoid discussions or final presentations and emphasize direct practice.

 Topics & Material Covered (subject to change)

1

Understanding AI Fundamentals:
  • Grasping the concept of AI and its historical development
  • Recognizing AI's role in everyday life

2

Navigating AI Tools:
  • Using platforms like ChatGPT, Google Suite, DALL·E, Hugging Face, and Runway ML
  • Basic operation of various AI powered applications

3

Identifying AI Types
  • Distinguishing between Machine Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, and Generative AI
4Natural Language Processing (NLP) Basics:
  • Understanding how AI interprets and generates human language
  • Recognizing NLP applications in text analysis, speech recognition, translation, and conversational AI
5Recognizing AI in Daily Life:
  • Identifying AI applications in voice assistants, streaming services, smart home devices, online shopping, navigation apps, and healthcare
6AI Ethics and Safety Awareness:
  • Understanding the importance of responsible AI use
  • Recognizing potential biases in AI systems
  • Appreciating the significance of privacy, transparency, and fairness in AI
7Media AI Comprehension:
  • Understanding how AI generates images, text, and sounds
8AI Learning Process:
  • Grasping how AI models improve through updates and data
9Future AI Trends:
  • Anticipating potential advancements in AI technology
  • Understanding AI's potential impact on various sectors like healthcare, creativity, and the workplace
10Critical Thinking about AI:
  • Evaluating the benefits and potential risks of AI advancements
  • Considering the ethical implications of AI development and implementation

 

Each session will include: 

  • Live sessions with detailed demonstrations of assignments
  • Comprehensive learning objectives
  • Single-skill development activities and practice
  • Combined-skill development activities
  • Interactive quizzes
  • Individualized feedback and assessment throughout

Inquire here

 

 

Image
STEPS cohort covers.png