NEOPOLIS AKADEMY
Innovating with Google Cloud AI
Hands-on exploration of Google Cloud AI services to design, deploy and integrate models, APIs and inference pipelines. A beginner-focused approach aimed at product innovation and practical technical implementation.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
Targeted introduction to Google Cloud AI components and concrete use cases.
Practical method to connect models, create endpoints and orchestrate inferences using cloud services.
Product-innovation focus: integrating AI into existing application architectures.
Technical examples and operational steps; does not imply any official certification.
STEP BY STEP
Course programme
01Innovating with Google Cloud AI
Explore Google Cloud AI services and use cases to drive innovation: AI landscape, agentic AI, business value of AI/ML, and approaches to model building. The course also presents Google Cloud AI/ML solutions and considerations for selecting them.
Context: innovating with AI and how Google Cloud technologies are positioned.
Overview of key concepts: AI landscape, agentic AI, and the business value of AI and ML.
Presentation of Google Cloud AI/ML solutions and four approaches to building machine learning models.
Decision factors: Google’s AI supercomputer and practical considerations when choosing Google Cloud solutions for a given use case.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page