Claude на Google Cloud

0 of 93 lessons completed (0%)

Course Description

This course provides comprehensive technical training on integrating and deploying Claude AI models on Google Cloud. Developers will learn to implement Claude's API capabilities, from basic request handling to advanced features including tool use, retrieval augmented generation (RAG), and the Model Context Protocol (MCP). The curriculum covers practical implementation patterns, performance optimization techniques, and production-ready workflows for building AI-powered applications.

What you'll learn

Set up and configure Claude models on Google Cloud

Implement multi-turn conversations with proper message handling and context management

Design and evaluate prompts using systematic testing workflows and automated grading techniques

Apply prompt engineering principles including XML tag structuring, example-based learning, and output control

Build tool-use implementations enabling Claude to interact with external functions and APIs

Develop RAG pipelines using text chunking, embeddings, BM25 search, and contextual retrieval techniques

Utilize advanced Claude features including vision capabilities, PDF processing, citation generation, and prompt caching

Implement the Model Context Protocol for creating custom tools, resources, and prompt templates

Configure and deploy Anthropic Apps including Claude Code for automated development tasks and Computer Use for UI automation

Design agent-based workflows with parallelization, chaining, and routing patterns for complex AI systems

Who this course is for

Backend developers building AI-powered APIs and services

Full-stack engineers integrating LLM capabilities into applications

ML engineers implementing production AI systems

DevOps professionals deploying and scaling Claude implementations

Technical architects designing AI-enhanced system architectures

Developers transitioning from other LLM providers to Claude

Engineers working on document processing, code generation, or automation workflows

What is Skilljar and why am I logging into it?

Skilljar is a learning management system that hosts our educational content. You're logging into it to access the Anthropic course materials. This separate platform allows us to provide interactive learning experiences, track your progress, and ensure you have access to all course resources in an organized way.

What information does Skilljar collect about my learning activity?

Skilljar collects basic learning analytics such as course progress, lesson completion status, quiz scores, and time spent on materials. This data helps us understand how you're progressing through the course and allows us to provide you with completion certificates. All data collection is focused on improving your learning experience, and is subject to Skilljar's Privacy Policy.

How is my Skilljar data different from my Anthropic account data?

Skilljar only tracks your learning progress within this course platform, while your Anthropic account manages your access to the Anthropic Console and/or Claude AI services.

Is Skilljar secure? Where is my data stored?

Yes, Skilljar employs industry-standard security measures including data encryption, secure hosting, and regular security audits. Your learning data is stored on secure servers with appropriate access controls. Skilljar is SOC 2 compliant and follows best practices for data protection to ensure your information remains safe and private.

How do I delete my learning activity or account?

To request deletion of your learning data or account, email academy-support@anthropic.com. Your request will be processed in accordance with applicable privacy laws and our data retention policies. Note that some data may need to be retained for legitimate business purposes, such as compliance or security, but we'll delete all personal information where legally permissible.

Do I need an Anthropic account to access the learning content?

No, you don't need an Anthropic account to access this learning content. The course is hosted on Skilljar and only requires a Skilljar account for access. However, if you want to use Claude AI services after completing the course, you would need to create a separate Anthropic account at claude.ai.

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Claude на Google Cloud

0 of 93 lessons completed (0%)

Обзор курса (Show All)

Introduction

Anthropic overview

Accessing Claude with the API

Prompt evaluation

Prompt engineering techniques

Tool use with Claude

Retrieval Augmented Generation

Features of Claude

Model Context Protocol

Anthropic apps - Claude Code and computer use

Agents and workflows

Final assessment

Wrapping up!

Об этом курсе

Course Description

What you'll learn

Prerequisites

Who this course is for

Data and Privacy