Agentic Strategy: Discover, Design, and Prototype

Agentic Strategy: Discover, Design, and Prototype

Instructor: Google Cloud Training

Access provided by Kalinga Institute of Industrial Technology

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

3 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Define the Agentic AI Transformation Framework, outlining the four stages of the development lifecycle: discover, design, build, and scale.
Discover and reimagine current business processes, shifting from the as-is state to a what-if autonomous workflow with an agentic AI mindset.
Design and identify high-impact agentic use cases by applying value engineering, prioritization models, and mapping the critical user journey (CUJ).
Prototype a functional AI agent using iterative vibe coding with Google’s no-code tools like Google AI Studio and Gemini Enterprise.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

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Assessments

2 assignments

Taught in English

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There are 3 modules in this course

Step into the future with Agentic Strategy: Discover, Design, and Prototype. This course allows you to master the Google Agentic AI Transformation Framework and move beyond chatbots to autonomous teammates. Through a retail use case, you will learn to quantify business value, prioritize AI projects, map critical user journeys, and build functional prototypes using no-code tools like Google AI Studio and Gemini Enterprise. This course provides a solid roadmap necessary for business and technical leaders to lead their organization into the agentic AI era.

This module introduces the Agentic AI Transformation Framework, including the AI agent development lifecycle (discover, design, build, scale). The module explores the strategic benefits of transitioning from simple chatbots to autonomous enterprise teammates.

What's included

5 videos1 assignment

Focusing on retail use cases, this module guides learners in applying value engineering and key prioritization models (2x2 impact versus feasibility, RICE, and MoSCoW) alongside the critical user journey (CUJ) framework to design high-impact AI agent projects.

What's included

5 videos1 assignment

This module guides learners through the prototype phase, focusing on identifying the high-impact AI agent projects. Students will then build a functional retail shopping agent using no-code tools such as Gemini Enterprise and Google AI Studio.