Google Gen AI: Navigate the Landscape — Free Course

Choosing a generative AI solution is easier when you understand which part of the system you are choosing. Gen AI: Navigate the Landscape helps you connect applications and agents with the platforms, models and infrastructure beneath them.

This introductory Google course is the third course in the Gen AI Leader learning path. It offers a conceptual view of solution choices and business considerations. It suits learners who want to ask clearer questions about a proposal, rather than immediately configure paid cloud services or build an application.

Course at a glance

What you’ll learn

• Identify infrastructure, models, platforms, agents and applications.
• Describe how those layers relate to a business need.
• Recognise the role of Google Cloud infrastructure in AI development.
• Consider people, cost and time when comparing a solution.
• Frame questions about choosing and maintaining generative AI systems.

Skills you’ll gain

• AI landscape mapping
• Layer identification
• Solution-question framing
• Resource planning
• Business-needs analysis

Separate the visible experience from its supporting layers

The course moves through agents and applications, then platforms, models and infrastructure. Use this order to build a simple map in your notes. Place the experience a person uses at one end and label the supporting parts, leaving room for questions you cannot yet answer.

This can make a proposal easier to discuss. An attractive interface, an appropriate model and a maintainable system are related considerations, but one description does not answer every question. A clear map helps you ask where a decision belongs before debating products or features.

Connect the landscape with an actual need

Later material includes a manufacturing use case, AI at the edge and project resources. The course also considers solution needs and maintenance. These topics connect the architecture with the practical choices around a project.

For optional personal practice, imagine a small organisation seeking help with finding information in a fictional internal handbook. Describe what a user should be able to do and what would count as a useful response. Keep this as a written exercise; do not upload real company documents or buy access to a service.

Then add questions about the people involved, the time available and the responsibilities after launch. Which assumptions would you want a technical team to test? Which decisions would belong to the organisation using the system? Your notes should identify missing evidence rather than present an untested design as ready.

Study the portfolio without treating it as a shopping list

Google’s offerings provide the course’s technical context. Focus first on the role a component plays and the need it is intended to address. You can learn from that structure without assuming a named product is automatically the right choice for every organisation.

After each section, try describing the trade-off in plain language. If your explanation consists only of product names, return to the underlying need. This study approach helps keep a conceptual course useful when you later encounter a different vendor or a different project.

Free study, separate from production spending

The advertised learning route contains conceptual lessons, three quizzes and a study guide. The current course is free and requires an ordinary free Google Skills account for activities and progress. No mandatory paid subscription, trial, payment card, cloud setup or paid software is required for this course.

Studying project cost does not mean incurring it. Implementing a real solution would need its own technical and financial review. Google advertises a completion badge; no formal certificate or academic credit is promised. This listing describes the individual course, rather than the whole learning path.

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