Generative AI for Java Developers with Google AI
Generative AI for Java Developers with Google AI, available at $74.99, has an average rating of 4.56, with 27 lectures, 2 quizzes, based on 101 reviews, and has 985 subscribers.
You will learn about How to add Generative AI capabilities to your Java applications Integrating the Generative Language API SDK into your Java code Consuming the Generative Language REST API in your Java code Integrating the Vertex AI SDK into your Java code Consuming the Vertex AI REST API in your Java code Develop a GenAI Bot in Java with Spring MVC Understand the fundamental concepts of Generative AI from a Developer's perspective Learn about Prompt Engineering best practices Learn about different prompt design strategies Learn how to use Vertex AI Studio to design prompts Understand how LLM model parameters affect creativity in responses This course is ideal for individuals who are Software Engineers or Software Developers It is particularly useful for Software Engineers or Software Developers.
Enroll now: Generative AI for Java Developers with Google AI
Summary
Title: Generative AI for Java Developers with Google AI
Price: $74.99
Average Rating: 4.56
Number of Lectures: 27
Number of Quizzes: 2
Number of Published Lectures: 27
Number of Published Quizzes: 2
Number of Curriculum Items: 29
Number of Published Curriculum Objects: 29
Original Price: R1,199.99
Quality Status: approved
Status: Live
What You Will Learn
- How to add Generative AI capabilities to your Java applications
- Integrating the Generative Language API SDK into your Java code
- Consuming the Generative Language REST API in your Java code
- Integrating the Vertex AI SDK into your Java code
- Consuming the Vertex AI REST API in your Java code
- Develop a GenAI Bot in Java with Spring MVC
- Understand the fundamental concepts of Generative AI from a Developer's perspective
- Learn about Prompt Engineering best practices
- Learn about different prompt design strategies
- Learn how to use Vertex AI Studio to design prompts
- Understand how LLM model parameters affect creativity in responses
Who Should Attend
- Software Engineers
- Software Developers
Target Audiences
- Software Engineers
- Software Developers
Welcome to the “Generative AI for Java Developers with Google AI” course!
Are you a Java developer looking to harness the power of Generative AI in your applications without diving too deep into the complexities of Machine Learning and Data Science? If so, this course is tailor-made for you!
In this comprehensive course, you’ll discover how to seamlessly integrate Google’s advanced Generative AI capabilities into your Java code through the Vertex AI API. Designed by a developer, for developers, no prior knowledge of Machine Learning or Data Science is needed. It focuses on practically, giving you just enough of the what and why, and then a lot of the how.
Throughout the course, you’ll gain a strong foundation in Generative AI, understand the mechanics of how generative AI generates new content, and explore the driving force behind it all—the Google Gemini and PaLM2 Large Language Models. You’ll also learn the art of prompt engineering, using Vertex AI Studio, you will craft prompts that yield impressive results tailored to your specific use cases.
The core of the course focuses on practicality. You’ll be guided through the process of seamlessly integrating the Google Vertex AI API into your Java applications. And the best part? You’ll build your very own generative AI application to practice your newly acquired Gen AI skills.
Course Highlights:
-
Learn how to integrate the Google Vertex AI API into your Java code
-
Develop a GenAI Bot in Java with Spring MVC
-
Understand the fundamental concepts of Generative AI from a Developer’s perspective
-
Learn how to use Vertex AI Studio to design prompts
-
Learn about Prompt Engineering best practices
-
Understand how LLM model parameters affect creativity in responses
Don’t miss this unique opportunity to expand your Java development toolkit with the creative possibilities of Generative AI. Enroll today and unlock a new dimension of software development!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Introduction
Lecture 2: AI vs. ML vs. GenAI
Lecture 3: Google PaLM2 LLM
Lecture 4: How Does Generative AI Generate New Content?
Chapter 2: Setup & Configuration
Lecture 1: Setup & Configuration Overview
Lecture 2: Installing JDK + IDE + Coding Exercise Files
Lecture 3: Signing Up for a Google Cloud Platform (GCP) Account
Lecture 4: Installing the gcloud CLI
Lecture 5: Navigating the Google Cloud Console + Vertex AI Studio
Lecture 6: Enabling the Vertex AI and Cloud Storage APIs
Lecture 7: Enabling the Generative Language API
Lecture 8: Creating a GCP Service Account
Chapter 3: Prompt Engineering
Lecture 1: What is Prompt Engineering?
Lecture 2: Prompt Design Strategies
Lecture 3: Zero-Shot Prompting
Lecture 4: One-Shot Prompting
Lecture 5: Few-Shot Prompting
Lecture 6: Testing Your Prompts with cURL
Chapter 4: API Integration
Lecture 1: Introduction to Vertex AI Google PaLM API
Lecture 2: The Game Plan
Lecture 3: Vertex AI REST API Integration
Lecture 4: PaLM REST API Integration
Lecture 5: PaLM API SDK Integration
Lecture 6: Vertex AI SDK Integration
Lecture 7: Creating Your Own GenAI Bot
Chapter 5: Conclusion
Lecture 1: Recommended Further Study
Lecture 2: Course Summary
Instructors
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Sean Campbell
Passionate Software Engineer
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 4 votes
- 4 stars: 33 votes
- 5 stars: 62 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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