Packt

Hands-On AI Agent Development with Claude API in Python

Packt

Hands-On AI Agent Development with Claude API in Python

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Explain how LLMs, transformers, RAG, MCP, and multimodal models support the development of modern AI applications.

  • Use the Claude API, Messages API, and Python SDKs to build effective interactions with Claude models.

  • Build RAG pipelines with retrieval and reranking techniques to improve responses within limited context windows.

  • Develop AI agents that define and chain tool calls to solve complex tasks using effective tool-use practices.

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Recently updated!

October 2026

Assessments

4 assignments

Taught in English

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There are 5 modules in this course

In this module, we will introduce the course, its objectives, and the key topics you will explore as you progress. We will establish a foundation by defining essential AI terminology and commonly used acronyms. We will also prepare you with the core vocabulary needed to understand subsequent concepts in AI and agent development.

What's included

2 videos

In this module, we will explore the fundamental technologies and techniques behind modern generative AI, including LLMs, Transformers, multimodal models, RAG, MCP, and fine-tuning. We will examine prompt engineering strategies such as zero-shot and few-shot prompting and introduce a structured framework for writing effective prompts. We will also learn how to evaluate prompts and models to select and optimize AI approaches for different applications.

What's included

10 videos1 assignment

In this module, we will explore the Claude API ecosystem and examine the differences among Opus, Haiku, and Sonnet models. We will learn how to obtain an Anthropic API key, work with available SDKs, and understand the API's core capabilities. We will also use the Messages API to build practical interactions with Claude and establish the foundation for developing AI-powered applications.

What's included

5 videos1 assignment

In this module, we will examine the architectural principles and design considerations involved in building scalable AI applications. We will build a RAG pipeline from scratch, explore reranking strategies, and address practical challenges such as latency, rate limits, and limited context windows. We will also introduce AI agents and compare open-source and closed-source models to help you make informed architectural decisions.

What's included

7 videos1 assignment

In this module, we will explore how tool calling extends Claude's capabilities and enables the development of more functional AI agents. We will learn how to define tools, integrate them into agent workflows, and chain multiple tool calls to solve advanced tasks and answer complex questions. We will also apply best practices for reliable and effective tool use when building practical AI agent applications.

What's included

4 videos1 assignment

Instructor

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