Generative AI for Python Developers with Google AI

Generative AI for Python Developers with Google AI, available at $79.99, has an average rating of 3.95, with 27 lectures, 2 quizzes, based on 16 reviews, and has 179 subscribers.

You will learn about How to add Generative AI capabilities to your Python applications Integrating the Generative Language API SDK into your Python code Consuming the Generative Language REST API in your Python code Integrating the Vertex AI SDK into your Python code Consuming the Vertex AI REST API in your Python code Develop a GenAI Bot in Python with Flask 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 work This course is ideal for individuals who are Software Developers / Engineers It is particularly useful for Software Developers / Engineers.

Enroll now: Generative AI for Python Developers with Google AI

Summary

Title: Generative AI for Python Developers with Google AI

Price: $79.99

Average Rating: 3.95

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 Python applications
Integrating the Generative Language API SDK into your Python code
Consuming the Generative Language REST API in your Python code
Integrating the Vertex AI SDK into your Python code
Consuming the Vertex AI REST API in your Python code
Develop a GenAI Bot in Python with Flask
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 work

Who Should Attend

Software Developers / Engineers

Target Audiences

Software Developers / Engineers

Welcome to the “Generative AI for Python Developers with Google AI” course!

Are you a Python 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 Python 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 Python 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 Python code
Develop a GenAI Bot in Python with Flask
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 Python 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 Python + IDE + Code 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 the Cloud Storage APIs

Lecture 7: Enabling the Generative Language API

Lecture 8: Creating a 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 via 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: Vertex AI SDK Integration

Lecture 6: PaLM API SDK Integration

Lecture 7: Creating Your Own GenAI Bot

Chapter 5: Conclusion

Lecture 1: Recommended Further Study

Lecture 2: Course Summary

Instructors

Sean Campbell
Passionate Software Engineer

Rating Distribution

1 stars: 0 votes
2 stars: 2 votes
3 stars: 3 votes
4 stars: 3 votes
5 stars: 8 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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