Google AI Essentials
Foundational Google AI program covering AI and ML basics, Gemini and Vertex AI introductions, responsible AI, and hands-on labs for building literacy before advanced GCP GenAI tracks.
4.7
(475 students)
4 Weeks · 28 hours
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What is this course about?
Google AI Essentials
AI/ML Literacy · Gemini · Vertex AI Foundations
Build practical AI literacy on Google Cloud—from core ML concepts and Gemini prompting to introductory Vertex AI workflows and responsible AI. Designed for professionals starting Google Cloud AI before advanced GenAI tracks.
What you'll walk away with:
- Fluency in AI, ML, and GenAI concepts for technical and business conversations
- Hands-on familiarity with Gemini prompts and Google Cloud AI console workflows
- Introductory Vertex AI, Model Garden, and BigQuery ML patterns
- Responsible AI judgment for fairness, privacy, and safe adoption
- A mapped path from essentials into GenAI Expertise on GCP
Course Features
Post Graduate Diploma
4 Weeks of Content
Hands-on Projects
Community Support
Lifetime Access
Student Reviews
Aditi Menon
Clear Google AI foundations without the jargon overload. Gemini prompting and Vertex AI console labs finally made GCP AI click for our analysts.
Infosys LimitedJames Okonkwo
Best essentials path before GenAI on GCP. Responsible AI checklist lab is what I reuse when evaluating new Gemini workflows.
Google Cloud Partner AfricaSneha Iyer
Concise modules, every chapter ends in a Lab. Strong bridge from AI literacy into our Vertex AI professional track.
Tata Consultancy ServicesLaura Schmidt
BigQuery ML mini-project and Model Garden walkthrough were practical. Capstone presentation impressed our digital workplace leads.
Deutsche Telekom Digital
