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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console.

Learn to integrate Vertex, Google Cloud's AI suite into your smart contracts.

In this lab, you'll mint a new NFT collection that can be dynamically updated based on their attributes and using generative AI using the Vertex APIs accessed with Chainlink Functions.

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What's inside

Syllabus

Creating Generative Art Dynamic NFTs with Google Cloud Vertex AI and Chainlink Functions

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Students who plan to use Google Cloud's AI suite to integrate into their smart contracts should consider this course
Those desiring generative art through the use of NFTs may benefit from this course given the advanced generative AI capabilities it teaches
Students who are interested in increasing their proficiency in AI applications will be well-served by this course's discussions on generative AI

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Creating Generative Art Dynamic NFTs with Google Cloud Vertex AI and Chainlink Functions with these activities:
Review foundational AI principles
Reinforce your understanding of essential AI principles covered in this course.
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  • Revisit key AI concepts from previous coursework or study materials.
  • Complete practice questions to test your understanding of AI fundamentals.
Connect with experts in generative AI or blockchain development
Seek guidance from industry professionals to accelerate your learning.
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Show steps
  • Attend industry events or join online communities to connect with potential mentors.
  • Reach out to individuals with relevant expertise and express your interest in mentorship.
  • Establish clear expectations and goals with your chosen mentor.
Review Python skills
Ensure you have a strong foundation in Python programming by reviewing core concepts and syntax, ensuring you can effectively work with AI tools and technologies during the course.
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  • Review online Python tutorials or documentation.
  • Practice writing simple Python scripts.
  • Complete coding challenges or exercises to test your understanding.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Practice using Chainlink Functions
Sharpen your skills in utilizing Chainlink Functions to connect smart contracts with external APIs.
Show steps
  • Follow tutorials and documentation to learn the syntax and functionality of Chainlink Functions.
  • Create and deploy practice smart contracts that integrate with Chainlink Functions.
  • Test and debug your smart contracts to ensure proper integration with Chainlink Functions.
Join a study group
Connect with other students and form a study group to improve your understanding of the course material and reinforce your learning through peer discussions and support.
Show steps
  • Identify potential members and reach out to them.
  • Set up a regular meeting schedule and location.
  • Establish ground rules and expectations for the study group.
  • Prepare for each meeting by reviewing course material and identifying discussion topics.
  • Actively participate in discussions, share insights, and provide support.
Complete online tutorials
Supplement your course learning by seeking out additional tutorials and resources that provide in-depth demonstrations and explanations of AI concepts and Vertex API usage.
Show steps
  • Identify reputable online platforms or resources for tutorials.
  • Explore tutorials that align with the course topics and learning objectives.
  • Follow the tutorials attentively, taking notes and experimenting with the provided examples.
  • Apply what you have learned from the tutorials to your course assignments and projects.
Attend an AI-focused workshop
Expand your knowledge and connect with experts in the field by attending an AI-focused workshop, providing valuable opportunities to learn about cutting-edge applications and best practices.
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  • Identify upcoming AI workshops or conferences.
  • Register for the workshop and prepare to actively participate.
  • Attend the workshop, taking notes and engaging in discussions.
  • Follow up with workshop organizers or speakers to expand your network.
Develop a sample smart contract
Reinforce your understanding of smart contract development by creating a sample contract that incorporates AI features using Vertex APIs, demonstrating your ability to apply the concepts learned in the course.
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  • Review smart contract fundamentals and Vertex API documentation.
  • Design the sample smart contract, including its logic and interaction with Vertex APIs.
  • Implement the smart contract using the language of your choice.
  • Test the smart contract's functionality and ensure it meets the desired requirements.
Develop a generative art NFT demo
Solidify your understanding of generative art NFTs and their creation process.
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  • Integrate Vertex AI models into a smart contract to generate unique art based on specific parameters.
  • Mint and deploy an NFT collection that displays the generated art.
  • Write a blog post or article showcasing your project and explaining the technical implementation.
Build a smart contract-based loyalty program
Apply your skills in smart contract development and loyalty program design to create a functional project.
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Show steps
  • Define the requirements and specifications for the loyalty program.
  • Develop a smart contract that implements the program's rules and logic.
  • Integrate the smart contract with a front-end application to allow users to interact with the program.
Participate in an AI hackathon
Challenge yourself and apply your skills in a practical setting by participating in an AI hackathon, working within a team to solve a complex problem using AI technologies, including Vertex APIs.
Browse courses on Artificial Intelligence
Show steps
  • Find an AI hackathon that aligns with your interests.
  • Form or join a team with complementary skills.
  • Brainstorm and develop an innovative solution to the hackathon challenge.
  • Implement your solution using Vertex APIs and other appropriate technologies.
  • Present your solution to the hackathon judges.

Career center

Learners who complete Creating Generative Art Dynamic NFTs with Google Cloud Vertex AI and Chainlink Functions will develop knowledge and skills that may be useful to these careers:
AI Engineer
AI Engineers design, build, and deploy AI systems. They work on a variety of projects, including natural language processing, computer vision, and robotics. This course can help you build a foundation in generative AI, which is a rapidly growing field with applications in a wide range of industries.
Machine Learning Engineer
Machine Learning Engineers design, build, and deploy machine learning models. They work closely with Data Scientists to turn data into actionable insights. This course can help you build a foundation in generative AI, which is a rapidly growing field with applications in a wide range of industries.
Data Analyst
Data Analysts use their knowledge of statistics, machine learning, and data visualization to analyze data and identify trends. They work in a variety of industries, including finance, healthcare, and retail. This course can help you build a foundation in generative AI, which is a rapidly growing field with applications in a wide range of industries.
Data Scientist
Data Scientists use their knowledge of statistics, machine learning, and artificial intelligence to extract insights from data. They work in a variety of industries, including finance, healthcare, and retail. This course can help you build a foundation in generative AI, which is a rapidly growing field with applications in a wide range of industries.
Data Architect
Data Architects design and build data storage and management systems. They work closely with data scientists and engineers to ensure that data is available and accessible for use. This course can help you build a foundation in generative AI, which is a rapidly growing field with applications in a wide range of industries.
Software Engineer
Software Engineers design, build, and maintain software applications. They work on a variety of projects, including web applications, mobile applications, and enterprise software. This course can help you build a foundation in generative AI, which is a rapidly growing field with applications in a wide range of industries.
Business Analyst
Business Analysts use their knowledge of business processes and data analysis to help organizations improve their operations. They work in a variety of industries, including finance, healthcare, and retail. This course can help you build a foundation in generative AI, which is a rapidly growing field with applications in a wide range of industries.
Financial Analyst
Financial Analysts use their knowledge of finance and data analysis to help organizations make investment decisions. They work in a variety of industries, including finance, healthcare, and retail. This course can help you build a foundation in generative AI, which is a rapidly growing field with applications in a wide range of industries.
Risk Analyst
Risk Analysts use their knowledge of finance and data analysis to help organizations identify and manage risks. They work in a variety of industries, including finance, healthcare, and retail. This course can help you build a foundation in generative AI, which is a rapidly growing field with applications in a wide range of industries.
Information Security Analyst
Information Security Analysts use their knowledge of computer security to help organizations protect their data and systems from cyberattacks. They work in a variety of industries, including finance, healthcare, and retail. This course can help you build a foundation in generative AI, which is a rapidly growing field with applications in a wide range of industries.
Product Manager
Product Managers are responsible for the development and launch of new products. They work closely with engineers, designers, and marketers to bring products to market. This course can help you build a foundation in generative AI, which is a rapidly growing field with applications in a wide range of industries.
Compliance Analyst
Compliance Analysts use their knowledge of laws and regulations to help organizations comply with legal requirements. They work in a variety of industries, including finance, healthcare, and retail. This course can help you build a foundation in generative AI, which is a rapidly growing field with applications in a wide range of industries.
Marketing Manager
Marketing Managers are responsible for the development and execution of marketing campaigns. They work closely with product managers and sales teams to generate leads and drive sales. This course can help you build a foundation in generative AI, which is a rapidly growing field with applications in a wide range of industries.
Operations Manager
Operations Managers are responsible for the day-to-day operations of an organization. They work closely with all departments to ensure that the organization runs smoothly. This course can help you build a foundation in generative AI, which is a rapidly growing field with applications in a wide range of industries.
Sales Manager
Sales Managers are responsible for the development and execution of sales strategies. They work closely with marketing teams to generate leads and drive sales. This course can help you build a foundation in generative AI, which is a rapidly growing field with applications in a wide range of industries.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Creating Generative Art Dynamic NFTs with Google Cloud Vertex AI and Chainlink Functions.
Offers a practical guide to creating generative art using a variety of techniques and tools. It valuable resource for artists and designers who want to explore the potential of generative AI.
Provides a comprehensive overview of generative art techniques, including machine learning and computer vision algorithms. It valuable resource for understanding the technical foundations of generative art.
Provides a comprehensive overview of computer graphics, including the mathematical foundations and practical implementation techniques. It valuable resource for understanding the technical details of computer graphics and how it can be used for generative art.
Classic reference on deep learning, covering the theoretical foundations and practical applications of this powerful technique. It valuable resource for anyone interested in learning more about deep learning.
Provides a practical guide to using Processing for generative art. It valuable resource for artists and designers who want to explore the potential of generative art.
Provides a comprehensive overview of algorithmic art and computer graphics. It valuable resource for artists and designers who want to explore the potential of these fields.
Provides a practical guide to using JavaScript for generative design. It valuable resource for artists and designers who want to explore the potential of generative design.
Provides a comprehensive overview of the nature of code and how it can be used for creative purposes. It valuable resource for artists and designers who want to explore the potential of code.
Provides a practical guide to using code for creative purposes. It valuable resource for artists and designers who want to explore the potential of code.
Provides a comprehensive overview of the algorithmic beauty of plants. It valuable resource for artists and designers who want to explore the potential of generative art.

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