![]() |
|
Generative Ai For Python Developers With Google Palm Api - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Generative Ai For Python Developers With Google Palm Api (/Thread-Generative-Ai-For-Python-Developers-With-Google-Palm-Api) |
Generative Ai For Python Developers With Google Palm Api - AD-TEAM - 09-10-2025 ![]() Generative Ai For Python Developers With Google Palm Api Published 11/2023 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.48 GB | Duration: 2h 39m 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 ![]() RapidGator NitroFlare DDownload |