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IIn this course, you will learn about Google Cloud's AI and ML offerings, which can be used to implement both predictive and generative AI projects. You will gain a comprehensive overview of technologies, products, and tools that cover the entire data and AI lifecycle—from the basics to development to complete AI solutions.
The course is aimed at data scientists, AI developers, and ML engineers, and helps you expand your skills in a targeted manner through practical learning content and hands-on exercises. -
Course Contents
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- AI Fundamentals
- AI Development Options
- AI Development Workflow
- Generative AI
- Course Summary
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Target Group
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Professional AI developers, data scientists and ML engineers who want to create predictive and generative AI projects on Google Cloud.
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Knowledge Prerequisites
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- Basic knowledge of machine learning concepts
- Previous experience with programming languages such as SQL and Python
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Course Objective
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- Explore the data-to-AI technologies and tools provided by Google Cloud.
- Create generative AI projects using Gemini multimodal, efficient prompts and model optimization.
- Explore different options for developing an AI project in the Google Cloud.
- Create an ML model from start to finish with Vertex AI.
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Complementary and Continuative Courses
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Machine Learning on Google Cloud
Introduction to Data Engineering on Google Cloud
| AI Fundamentals |
| Why AI? |
| AI/ML Framework in Google Cloud |
| Google Cloud Infrastructure |
| Data and AI Products |
| ML Model Categories |
| BigQuery ML |
| Lab Introduction: BigQuery ML |
| AI Development Options |
| AI Development Options |
| Prebuilt APIs |
| Vertex AI |
| AutoML |
| Custom training |
| Intro to lab: Natural language API |
| AI development workflow |
| ML workflow |
| Preparing data |
| Developing models |
| Deploying the model |
| MLOps and workflow automation |
| Intro to lab: AutoML |
| How a machine learns |
| Generative AI |
| Generative AI and workflows |
| Gemini multimodal |
| Prompt design |
| Model tuning |
| Model garden |
| AI solutions |
Certification as Generative AI Leader – Google Cloud Foundational Certification
Certification as Associate Data Practitioner – Google Cloud Associate Certification
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
-
IIn this course, you will learn about Google Cloud's AI and ML offerings, which can be used to implement both predictive and generative AI projects. You will gain a comprehensive overview of technologies, products, and tools that cover the entire data and AI lifecycle—from the basics to development to complete AI solutions.
The course is aimed at data scientists, AI developers, and ML engineers, and helps you expand your skills in a targeted manner through practical learning content and hands-on exercises. -
Course Contents
-
- AI Fundamentals
- AI Development Options
- AI Development Workflow
- Generative AI
- Course Summary
-
Target Group
-
Professional AI developers, data scientists and ML engineers who want to create predictive and generative AI projects on Google Cloud.
-
Knowledge Prerequisites
-
- Basic knowledge of machine learning concepts
- Previous experience with programming languages such as SQL and Python
-
Course Objective
-
- Explore the data-to-AI technologies and tools provided by Google Cloud.
- Create generative AI projects using Gemini multimodal, efficient prompts and model optimization.
- Explore different options for developing an AI project in the Google Cloud.
- Create an ML model from start to finish with Vertex AI.
-
Complementary and Continuative Courses
-
Machine Learning on Google Cloud
Introduction to Data Engineering on Google Cloud
| AI Fundamentals |
| Why AI? |
| AI/ML Framework in Google Cloud |
| Google Cloud Infrastructure |
| Data and AI Products |
| ML Model Categories |
| BigQuery ML |
| Lab Introduction: BigQuery ML |
| AI Development Options |
| AI Development Options |
| Prebuilt APIs |
| Vertex AI |
| AutoML |
| Custom training |
| Intro to lab: Natural language API |
| AI development workflow |
| ML workflow |
| Preparing data |
| Developing models |
| Deploying the model |
| MLOps and workflow automation |
| Intro to lab: AutoML |
| How a machine learns |
| Generative AI |
| Generative AI and workflows |
| Gemini multimodal |
| Prompt design |
| Model tuning |
| Model garden |
| AI solutions |
Certification as Generative AI Leader – Google Cloud Foundational Certification
Certification as Associate Data Practitioner – Google Cloud Associate Certification
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
