Generative Ai For Python Developers With Google Palm Api

Power your Python applications with Generative AI

What you'll learn

How to add Generative AI capabilities to your Python applications

Using the Vertex AI SDK in your Python applications

Using the PaLM API SDK / client library in your Python applications

Using the Vertex AI REST API in your Python applications

Using the PaLM API REST API in your Python applications

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 Generative AI Studio to design prompts

Understand how LLM model parameters work

Requirements

Basic proficiency in Python

Description

Welcome to the "Generative AI for Python Developers with Google PaLM API" 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 the advanced Generative AI capabilities of Google's Vertex AI PaLM API into your Python code. Designed by a developer, for developers, my goal is to equip you with the knowledge and skills you need to unlock the full potential of generative AI, all while staying true to your developer roots.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 PaLM2 Large Language Model. You'll also learn the art of prompt engineering, giving you the tools to craft prompts that yield impressive results. Leveraging Generative AI Studio, you'll design prompts 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 PaLM 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 the fundamentals of Generative AI.Understand the mechanics of generative AI content generation.Learn how the PaLM2 Large Language Model powers Generative AI applications like Bard and the Google PaLM API.Master prompt engineering best practices.Utilize Generative AI Studio to craft prompts tailored to your needs.Seamlessly integrate the Google Vertex AI PaLM API into your Python code.Build your own generative AI application.Don't miss this unique opportunity to expand your Python development toolkit with the creative possibilities of Generative AI. Join us on this exciting journey, and let's add the power of GenAI creativity to your projects. Enroll today and unlock a new dimension of software development!

Overview

Section 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?

Section 2: Setup & Configuration

Lecture 5 Setup & Configuration Overview

Lecture 6 Installing Python + IDE + Code Exercise Files

Lecture 7 Signing Up for a Google Cloud Platform (GCP) Account

Lecture 8 Installing the gcloud CLI

Lecture 9 Navigating the Google Cloud Console + Generative AI Studio

Lecture 10 Enabling the Vertex AI API

Lecture 11 Enabling the PaLM API

Lecture 12 Creating a Service Account

Section 3: Prompt Engineering

Lecture 13 What is Prompt Engineering?

Lecture 14 Prompt Design Strategies

Lecture 15 Zero-Shot Prompting

Lecture 16 One-Shot Prompting

Lecture 17 Few-Shot Prompting

Lecture 18 Testing Your Prompts via cURL

Section 4: Google PaLM API Integration

Lecture 19 Introduction to Vertex AI Google PaLM API

Lecture 20 The Game Plan

Lecture 21 Vertex AI REST API Integration

Lecture 22 PaLM REST API Integration

Lecture 23 Vertex AI SDK Integration

Lecture 24 PaLM API SDK Integration

Lecture 25 Creating Your Own GenAI Bot

Section 5: Conclusion

Lecture 26 Recommended Further Study

Lecture 27 Course Summary

Software Developers / Engineers