Technologies / Artificial Intelligence

Generative Artificial Intelligence with Google Cloud: From Basics to Advanced Applications (with Vertex AI and Gemini)

The training introduces participants to generative artificial intelligence using state-of-the-art Google Cloud Platform tools. The program combines the theoretical foundations of GenAI with hands-on use of Vertex AI Generative AI Studio and Gemini models to build innovative applications. Sessions are run as workshops in which participants build real solutions based on generative technologies. The training prepares participants to use GenAI in business projects in line with responsible AI principles.

Why choose this training?

In the face of constant technological change, technical skills are becoming a key asset on the job market. The training introduces participants to generative artificial intelligence using state-of-the-art Google Cloud Platform tools.

After completing the training, participants will: gain an in-depth understanding of how generative artificial intelligence works; learn to use Vertex AI Generative AI Studio and Gemini models in practice; master advanced prompt engineering and model tuning techniques; and be able to build applications that integrate different types of generative models. These skills translate directly into greater effectiveness in delivering IT projects.

The training is particularly valuable for: software developers interested in integrating AI into applications, AI/ML engineers developing their skills in generative artificial intelligence, and data scientists exploring the capabilities of generative models.

What makes our approach unique?

EITT combines theoretical knowledge with intensive hands-on workshops. During 3 days of intensive training, participants work on real-world examples and scenarios.

With over 2,500 trainings in our portfolio, EITT is a trusted partner in competency development for organizations of all sizes. Our trainers are practitioners with many years of experience who share up-to-date knowledge and proven solutions.

Looking for a training tailored to your team’s needs? Contact us — we will prepare a program customized to your requirements.

Benefits

They will gain an in-depth understanding of how generative artificial intelligence works
They will learn to use Vertex AI Generative AI Studio and Gemini models in practice
They will master advanced prompt engineering and model tuning techniques
They will be able to build applications that integrate different types of generative models
They will learn best practices for implementing GenAI in business projects
They will understand the principles of responsible AI and the ethical aspects of using GenAI
They will gain skills in evaluating and optimizing the performance of generative models
They will be prepared to use state-of-the-art AI technologies in practice

Who is this training for?

Software developers interested in integrating AI into applications

AI/ML engineers developing their skills in generative artificial intelligence

Data scientists exploring the capabilities of generative models

Cloud solution architects designing systems that use GenAI

Product managers responsible for innovative AI solutions

IT consultants specializing in implementing AI technologies

Entrepreneurs and innovators looking for new business opportunities

Candidates preparing for the Generative AI Leader certification

Prerequisites

Basic knowledge of Python programming
Understanding of basic machine learning and AI concepts
Experience working with APIs and programming libraries
Knowledge of the basics of natural language processing (NLP)
Motivation to explore the latest artificial intelligence technologies

Training program

Definition of generative AI and differences from traditional machine learning
Overview of GenAI model types: large language models, image generation, multimodal
Google's GenAI portfolio: Vertex AI, Gemini, PaLM API, Imagen
GenAI beyond the chatbot: exploring the strategic capabilities of Google Cloud
Overview of business applications and use cases

Architecture and operating principles of large language models
Hands-on work with text models in Vertex AI Generative AI Studio
The Gemini model family: capabilities, specifications, API access
Prompting basics: creating effective, context-aware prompts
Advanced techniques: few-shot, chain-of-thought, zero-shot prompting

When and why to tune large language models
Tuning methods in Vertex AI: Parameter-Efficient Fine-Tuning (PEFT)
Preparing and structuring data for the fine-tuning process
Metrics for evaluating the quality and performance of generative models
Monitoring and optimizing model performance

Introduction to diffusion models and image generation mechanisms
Working with image generation models (Imagen) in Vertex AI
Techniques for creating and editing images with text prompts
Generating other types of content: source code, documents, presentations
Integrating different modalities in a single solution

Integrating GenAI models with applications (Python libraries, REST API)
Building intelligent chatbots and conversational agents
Q&A systems based on documents and knowledge bases
Automatic generation of reports, descriptions and marketing content
Firebase Genkit to simplify GenAI application development
Using Gemini in Google Workspace and NotebookLM

Google's principles for the responsible development of artificial intelligence
Identifying and mitigating bias in GenAI models
Fairness and ethics in AI systems
Data security and privacy in generative applications
Monitoring, managing and updating deployed models
Techniques for improving quality and dealing with model limitations

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Training Topics

Frequently asked questions

Who is the Generative Artificial Intelligence with Google Cloud: From Basics to Advanced Applications (with Vertex AI and Gemini) training for?

The target audience includes software developers interested in integrating AI into applications, AI/ML engineers developing their skills in generative artificial intelligence, and data scientists exploring the capabilities of generative models. Level: beginner.

How long does the Generative Artificial Intelligence with Google Cloud: From Basics to Advanced Applications training last?

The training lasts 3 days. It is delivered online or on-site.

Will I receive a certificate after the training?

Yes — every participant receives a certificate of completion confirming the skills they have acquired. EITT is ISO 9001 certified.

Can the training be delivered for a closed group?

Yes — we offer closed trainings dedicated to companies. We tailor the program to your team's needs. Contact us for an individual quote.