Basic Course (2 Days) – Anthropic Development Fundamentals
Title:
Anthropic Development Fundamentals: Building with Claude
Target Audience:
Developers, data scientists, and technical product managers with basic programming experience who want to start building applications using Anthropic’s Claude models.
Learning Objectives:
By the end of this course, participants will be able to:
- Understand the core capabilities and limitations of Claude models.
- Set up API access and manage authentication securely.
- Design effective prompts and conversation flows.
- Build simple chat, Q&A, and text-processing applications.
- Apply basic safety and responsible AI practices.
Course Contents (10 Modules):
- Introduction to Anthropic and Claude
Overview of Anthropic, model family, and typical use cases. - Getting Started with the API
API keys, endpoints, request/response structure, and tooling. - Prompt Design Basics
System messages, user messages, and prompt patterns for clarity. - Building a Simple Chat Application
End-to-end example: from API call to minimal chat UI. - Text Summarization and Q&A
Using Claude for document summarization and answering questions. - Handling Long Contexts
Strategies for working with long documents and conversation history. - Basic Safety and Guardrails
Content policies, filtering, and avoiding harmful outputs. - Error Handling and Retries
Managing rate limits, timeouts, and failed requests. - Logging, Monitoring, and Cost Awareness
Tracking usage, tokens, and basic observability. - Mini Project: Your First Claude-Powered App
Participants design and present a small working prototype.
Advanced Course (2 Days) – Building Production Systems with Anthropic
Title:
Production-Grade Applications with Anthropic: Advanced Patterns and Architecture
Target Audience:
Software engineers, ML engineers, and architects who already use Claude in prototypes and want to build robust, scalable, and secure production systems.
Learning Objectives:
By the end of this course, participants will be able to:
- Architect multi-step, agent-like workflows with Claude.
- Integrate Claude into complex backends and data pipelines.
- Implement advanced prompt engineering and tool-use patterns.
- Optimize for performance, cost, and reliability at scale.
- Apply advanced safety, governance, and evaluation practices.
Course Contents (10 Modules):
- Advanced Prompt Engineering Patterns
Chain-of-thought, few-shot design, and structured output prompting. - Tool Use and Function Calling
Integrating external APIs, databases, and internal tools with Claude. - Multi-Turn Agents and Workflows
Designing stateful agents, task decomposition, and orchestration. - RAG Systems with Claude
Retrieval-augmented generation: indexing, retrieval, and grounding. - Evaluation and Testing Strategies
Automated evals, human-in-the-loop testing, and regression checks. - Performance Optimization and Caching
Latency reduction, prompt caching, and response reuse strategies. - Security, Privacy, and Data Governance
PII handling, data isolation, audit trails, and compliance considerations. - Scalable Architecture Patterns
Microservices, queues, and event-driven designs with Claude. - Monitoring, Observability, and Incident Response
Metrics, tracing, alerting, and handling model drift or behavior changes. - Capstone Project: Production-Ready Claude System
Teams design and present an end-to-end architecture for a realistic use case.