FoundationsBeginner

Introduction to AI & Machine Learning Concepts

Understand what AI actually is — not the hype. Neural networks, training, inference, and real-world applications demystified. This foundations track is structured for adult learners who need practical, career-relevant depth without academic abstraction. Delivered as a hybrid experience, the course combines guided milestones, implementation reviews, and applied exercises aligned with modern AI, engineering, and technical leadership work.

Price

$3,000

Tax included

Duration

4 weeks

Format

Hybrid

Instructor

Zara Wilson

Introduction to AI & Machine Learning Concepts

Understand what AI actually is — not the hype. Neural networks, training, inference, and real-world applications demystified.

Course Plan

Syllabus

Separate buzzwords from fundamentals and map the modern AI ecosystem.

  • AI vs ML
  • Supervised and unsupervised learning
  • Model lifecycle

Outcomes

Explain the core concepts behind machine learning and AI systems.
Understand the difference between training, inference, and evaluation.
Recognize where AI creates value and where it introduces risk.
Discuss modern AI systems using accurate technical language.

Includes

  • 4 hybrid weeks with live concept labs and guided discussion.
  • Visual explainers for neural networks, data pipelines, and model evaluation.
  • Industry case studies across automation, analytics, and generative AI.
  • Decision framework for identifying good AI use cases.
Zara Wilson

Instructor

Zara Wilson

Zara teaches machine learning foundations to technical and non-technical audiences and specializes in clarity over hype.

Enrollment

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