How to build AI Agents with Claude API in Python

About this course

Step into the forefront of AI Agent development by mastering Anthropic's groundbreaking Claude 4 model suite! If you're a developer eager to leverage state-of-the-art Large Language Models, this course provides the essential knowledge and practical skills to integrate Claude 4 Opus, Sonnet, and Haiku effectively into your applications. Go beyond basic API calls and learn to architect sophisticated, reliable AI-powered features.Here's what you'll master in this comprehensive course:Understand Core AI Concepts: Grasp the fundamentals of LLMs (Large Language Models), Transformers, Multimodality, RAG (Retrieval Augmented Generation), MCP (Model Context Protocol), and Fine-Tuning principles essential for effective API usage.Engineer Prompts for Agents: Develop advanced Prompt Engineering skills specifically tailored for guiding agent behavior, planning, and tool usage via the API.Master Prompt Engineering for APIs: Learn Zero-Shot/Few-Shot Prompting, evaluation frameworks, and techniques to achieve precise, desired results when interacting programmatically with the Claude 3 API.Dive Deep into the Claude 3 API: Compare Opus, Sonnet, and Haiku models (capabilities, strengths like reasoning/speed/cost, pricing), manage Anthropic API keys, utilize official Client Libraries (SDKs), and expertly use the versatile Messages API for complex interactions.Design Robust AI Application Architecture: Implement practical strategies to mitigate latency, effectively manage rate limits, plan for scaling your AI features, and understand archite

Course objectives

• equip students with knowledge of Large Language Models
• enhance students' ability to prompt AI agents effectively
• enable students to design scalable AI application architectures