Application Development Training with Claude

About Education

This training is designed for developers, product managers, and tech enthusiasts who want to add a new dimension to application development processes using Anthropic's powerful artificial intelligence model, Claude. Throughout the training, Claude's API capabilities, natural language processing (NLP), data analysis, content creation, automation, and artificial intelligence-powered application scenarios will be covered in detail. Participants will gain hands-on knowledge on topics such as how to develop interactive applications with Claude, how to process user inputs, and how to interpret Claude's outputs.

Prerequisites

• Basic knowledge of software development (Python, JavaScript or similar language preferred)
• Basic information about API usage
• General familiarity with artificial intelligence and machine learning concepts (preferred but not required)

Duration of Training

• With instructor: 3 days of practical training (online or on-site)

Who Should Participate?

• Application developers and software engineers
• Product managers and digital transformation professionals
• Entrepreneurs who want to integrate AI solutions into their products

Educational Content

Day 1 – Fundamentals and Getting Started

Morning – Claude Introduction

• Overview of Claude models (Opus 4, Sonnet 4)
• Choosing the right model: balancing performance and cost

Before Lunch – API Basics

• Obtaining an API key and authorisation
• Messages API structure and message flow
• Practical: Sample application with Python/Node

Afternoon – Prompt Engineering

• Prompt techniques for Claude 4
• Examples of information extraction and structuring
• Application: prompt design that produces structured output

Day 2 – APIs, Tools and Multimodality

Morning – Advanced API Usage

• Message Batching (Message Batches API)
• Prompt caching and performance
• Code example: adding a caching layer

Before Lunch – File & PDF Analysis

• File upload and analysis
• PDF content processing

Afternoon – Vehicle Usage & Agents

• Claude's driving characteristics
• Developing a JSON-based task agent
• Mini agent application: resume parser

Day 3 – Advanced Architecture and Implementation

Morning – Model Context Protocol (MCP)

• What is MCP and what does it do?
• Use with backend integration

Before Lunch – Visual Skills

• Visual data processing, graph/chart interpretation
• Application: extracting structured data from images

Afternoon – Agent Systems & Evaluation

• Smart agents with multi-step planning
• Evaluation criteria and automation
• Project: End-to-end Claude-supported workflow

Additional Module – RAG (Retrieval-Augmented Generation)

• Using Claude with external information sources
• LlamaIndex or database integration
• Setting up a question-and-answer system

What You Will Gain at the End of Training

• Effective use of the Claude API
• Advanced prompt design
• Multimodal and tool-agent systems
• Artificial intelligence evaluation and production readiness