You can watch our archived 6-week program led by gen AI experts and learn how to transform your business
Startup School: Gen AI will return with live trainings in May, make sure to save your seat now.
Exclusive live, hands-on classes showcasing Google Cloud’s latest gen AI tools and solutions, including Gemini, to help you accelerate your business’ growth
Google Cloud has been at the forefront of AI innovation for over two decades, seamlessly integrating AI into its core operations. We recently announced Gemini, our most capable and general model yet, which provides an opportunity to make AI helpful for everyone. This new era of models represents one of the biggest science and engineering efforts we’ve undertaken as a company and we can’t wait to show you how Gemini can help your business.
Whatever your experience with gen AI, we’ve got you covered as this training series supports the development of developers, product managers, and CTOs at any level of AI knowledge.
Together we’ll learn to leverage Generative AI on Vertex AI, including Gemini, across a number of focus areas, including:
- Multimodality: using text, image, and videos with Gemini
- Text: prompt design, conversational chat apps & custom API’s for LLM solutions
- Image: image generation & deploying apps combining language and images
- Speech: Text-to-speech and speech-to-text & deploying a conversational chat app
- Code: Code generation and completion and to accelerate data analysis/data science and more.
Important:
- This is a worldwide program that will be hosted live and there are 2 showings for each class: either EMEA / AMER or AMER / APAC friendly.
- Select the time for each class that works best for you and add the event to your calendar. If you change your mind about which class you want to attend, there is no need to unregister from your original choice. Select the new class time you wish to attend and add it to your calendar.
Note: classes are the same for both editions. - Participants should have familiarity with Python.
Class times:
AMER / EMEA classes will be at: 5pm GMT / 9am PST / 12pm EST
EMEA / APAC classes will be at: 8am GMT / 1:30pm IST / 4pm SGT / 5pm KST/JST
EMEA / APAC
Jan 16
-
Feb 22
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Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Time
Title
Current state of Generative AI
Prashanth Subrahmanyam
Generative AI: Hype vs. Reality
Generative AI is one of the most transformative technologies of our time, with the potential to revolutionize many industries. However, it is important to understand the current state of the technology, its limitations, and how to use it responsibly.
This session will provide a comprehensive overview of generative AI, covering the following topics:
- Introducing Gemini: our largest and most capable AI model
- Current state of generative AI: hype vs. reality: We will explore the latest advances in generative AI, as well as the challenges and limitations that remain.
- Generative AI terminology: We will define the key terms used in generative AI, such as foundation model, prompt, and vector databases.
- Limitations of generative AI: We will discuss the main limitations of generative AI, such as bias, accuracy, and safety.
- Overview of AI on Google Cloud, including 1P and 3P foundation models: We will provide an overview of the AI services offered by Google Cloud, including foundation models from Google and third-party providers.
- When to use and not use LLMs: We will discuss the best practices for using large language models (LLMs), as well as the cases where LLMs should not be used.
- Responsible AI and ethics: We will explore the ethical and social implications of generative AI, and how to use it responsibly.
90 Minutes
Prashanth Subrahmanyam
Manager, Developer Advocacy
Google Cloud
Applications of Generative AI for your business
Emily Ryan, Laurent Picard
Generative AI is a powerful technology with the potential to revolutionize many industries. This session will be a deep dive into how to identify generative AI use cases for your own organization, and understand what are strong and weak applications of generative AI.
This session will cover the following topics:
- Good and bad use cases for generative AI: We will explore the different ways in which generative AI can be used for good and for bad. We will also discuss the ethical implications of using generative AI.
- Sample use cases by industry: We will provide examples of how generative AI is being used in different industries, such as healthcare, finance, and manufacturing.
- How to come up with generative AI use cases for your organization: We will discuss a process for developing generative AI use cases that are aligned with your organization's goals and objectives.
90 Minutes
Emily Ryan
Head of Customer Engineering, Startups & Scaleups, EMEA
Google Cloud
Laurent Picard
Developer Advocate
Google Cloud
AMER / EMEA
Jan 16
-
Feb 22
search
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Time
Title
Current state of Generative AI
Keelin McDonell, Gwendolyn Stripling
Generative AI: Hype vs. Reality
Generative AI is one of the most transformative technologies of our time, with the potential to revolutionize many industries. However, it is important to understand the current state of the technology, its limitations, and how to use it responsibly.
This session will provide a comprehensive overview of generative AI, covering the following topics:
- Introducing Gemini: our largest and most capable AI model
- Current state of generative AI: hype vs. reality: We will explore the latest advances in generative AI, as well as the challenges and limitations that remain.
- Generative AI terminology: We will define the key terms used in generative AI, such as foundation model, prompt, and vector databases.
- Limitations of generative AI: We will discuss the main limitations of generative AI, such as bias, accuracy, and safety.
- Overview of AI on Google Cloud, including 1P and 3P foundation models: We will provide an overview of the AI services offered by Google Cloud, including foundation models from Google and third-party providers.
- When to use and not use LLMs: We will discuss the best practices for using large language models (LLMs), as well as the cases where LLMs should not be used.
- Responsible AI and ethics: We will explore the ethical and social implications of generative AI, and how to use it responsibly.
90 Minutes
Keelin McDonell
Product Manager, Vertex AI
Google Cloud
Gwendolyn Stripling
Artificial Intelligence and Machine Learning Content Developer
Google Cloud
Applications of Generative AI for your business
Zack Akil
Generative AI is a powerful technology with the potential to revolutionize many industries. This session will be a deep dive into how to identify generative AI use cases for your own organization, and understand what are strong and weak applications of generative AI.
This session will cover the following topics:
- Good and bad use cases for generative AI: We will explore the different ways in which generative AI can be used for good and for bad. We will also discuss the ethical implications of using generative AI.
- Sample use cases by industry: We will provide examples of how generative AI is being used in different industries, such as healthcare, finance, and manufacturing.
- How to come up with generative AI use cases for your organization: We will discuss a process for developing generative AI use cases that are aligned with your organization's goals and objectives.
90 Minutes
Zack Akil
Developer Advocate
Google Cloud
