Generative AI on Google Cloud E-Learning

Order this unique E-Learning course Generative AI on Google Cloud online, 1 year 24/7 access to rich interactive videos, speech, progress monitoring through reports and tests per chapter to test the knowledge directly.

What is generative AI?

Generative artificial intelligence (generative AI) is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. AI technologies attempt to mimic human intelligence in nontraditional computing tasks like image recognition, natural language processing (NLP), and translation. Generative AI is the next step in artificial intelligence. You can train it to learn human language, programming languages, art, chemistry, biology, or any complex subject matter. It reuses training data to solve new problems. For example, it can learn English vocabulary and create a poem from the words it processes. Your organization can use generative AI for various purposes, like chatbots, media creation, and product development and design.

Course content

Generative AI on GCP: An Introduction

Course: 1 Hour, 57 Minutes

• Course Overview
• Introduction to Generative Artificial Intelligence (AI)
• Google Cloud Platform (GCP) and Generative AI
• Advantages of Generative AI with GCP
• Generative AI Challenges on GCP
• GCP Machine Learning
• The Generative AI Life Cycle
• Image Generation and Natural Language Processing (NLP)
• Generating Images with GCP
• Working with Natural Language Processing in GCP
• Best Practices for Developing Generative AI
• GCP Privacy, Security, and Compliance
• Monitoring and Logging with GCP
• Generative AI Use Cases
• Course Summary

Generative AI on GCP: Empowering Machine Language Workflows with Vertex AI

Course: 1 Hour, 39 Minutes

• Course Overview
• Introduction to Vertex AI
• Vertex AI Features1
• Deploying a Model with Vertex AI
• Simplifying End-to-end Workflow with Vertex AI
• Pros and Cons of Vertex AI
• How Vertex AI Accelerates Development and Deployment
• Selecting, Training, and Evaluating Models
• Integrating Vertex AI with AI Frameworks
• Data Preparation, Feature Engineering, and Model Evaluation
• Vertex AI Success Stories
• Course Summary

Generative AI on GCP: Harnessing Generative AI with Vertex AI

Course: 1 Hour, 14 Minutes

• Course Overview
• Generative AI Support in Vertex AI
• Vertex AI Generative AI Models
• Generative AI Studio
• Working with the Vertex AI API
• Using Vertex AI Model Garden
• Working with Models in Model Garden
• Creating Custom Models in Vertex AI
• Responsible AI with Safety Filters
• Vertex AI Search and Conversation
• Using Vertex AI Search and Conversation
• Course Summary

Generative AI on GCP: Deep Dive Into Generative AI Studio

Course: 1 Hour, 37 Minutes

• Course Overview
• Generative AI Prompt Design
• Using Generative AI Prompt Samples
• Training a Model with Generative AI Studio
• Tuning a Language Model
• Evaluating Model Performance
• Google Cloud Platform (GCP) Generative AI Deployment
• Deploying a Model
• How Organizations Use GCP Generative AI
• Converting Speech to Text
• Prototyping Language Applications
• Course Summary

Generative AI on GCP: Building Generative AI-powered Apps in GCP

Course: 1 Hour, 17 Minutes

• Course Overview
• Plan and Build a Generative Artificial Intelligence (AI) Model
• Setting up a Python Environment
• Loading Training Data
• Designing and Building a Generator
• Designing and Building Discriminator
• Building a Training Loop
• Running a Training Loop
• Dockerizing the Training Script
• Running a Docker Container on Vertex AI
• Deploying a Finished Model to an API Endpoint
• Course Summary