AI & Machine Learning

From AI curiosity to working applications.

Begin with a clear mental model of AI and machine learning, then move into generative AI, model workflows, evaluation and practical applications learners can demonstrate.

AI model and data visualization
Beginner pathway

AI & Machine Learning on Google Cloud Foundation

A 60-day pathway built for first-time AI learners. Students develop a connected mental model, experiment with Google Cloud AI tools and complete a beginner-friendly team capstone.

60calendar days
21hguided learning
4connected modules
1team capstone
MODULE 01AI foundations

Build the mental model

AI, ML, infrastructure, common terminology and a guided first-model experience.

  • Supervised vs unsupervised learning
  • Google Cloud AI stack
  • BigQuery ML activity
  • Responsible-use reflection
MODULE 02Generative AI

Move from prompts to purposeful AI

Foundation models, prompts, multimodal AI, deployment choices and agent concepts.

  • Prompt engineering
  • Foundation models
  • Multimodal AI
  • Grounding, evaluation & human review
MODULE 03Development options

Choose the right way to build

Students compare pre-trained APIs, AutoML, BigQuery ML and custom training.

  • Ready-to-use APIs
  • No/low-code approaches
  • Data + SQL workflows
  • Custom training concepts
MODULE 04AI lifecycle

Prepare → Develop → Serve → Improve

The class follows data and models through the complete application lifecycle.

  • Data quality & features
  • Precision, recall & confusion matrix
  • Serving and consumption
  • MLOps and monitoring
AI and Machine Learning on Google Cloud Foundation
Program design

Learn, create and show the evidence

The 21 guided hours are deliberately split between technical learning, a capstone and a final merit assessment.

15 guided technical hoursConcepts, demonstrations and hands-on practice across four modules.
5 guided capstone hoursA team project moves through discover, design, build, test and presentation.
1-hour merit testReview and remediation lead into a final assessment and merit recognition framework.
Short-format workshops

Get AI-Ready in a live build-along

For colleges that want a high-energy introduction, MeritNext can deliver a two-hour hands-on webinar where learners work with a dataset, train a simple machine-learning model, test predictions and turn it into a mini application.

Understand

Connect a real-world problem to AI concepts without drowning beginners in jargon.

Build

Use browser-first tooling such as Google Colab, Python, Pandas and scikit-learn.

Showcase

Finish with a visible prediction flow and a working mini application students can discuss.

Bring practical AI learning to your campus.

Choose a 2-hour workshop or a structured 60-day foundation pathway.

Plan an AI program →