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Intermediate Artificial Intelligence 28 hours

Building AI Agents with Claude: From Prompts to Production

Design, build, and deploy intelligent AI agents using Anthropic's Claude API with real-world tool use, RAG systems, and multi-agent architectures

7 Chapters
28 Lessons
542 min total
Open Access

Claude is Anthropic's state-of-the-art AI model family, purpose-built for safety, reliability, and developer productivity. This course takes you from understanding what AI agents are to deploying production-ready agentic...

What you'll learn

  • Introduction to AI Agents
  • Claude API Fundamentals
  • Prompt Engineering Mastery
  • Tool Use and Function Calling
  • Building RAG Systems
  • Multi-Agent Architectures

+ 1 more chapters below

Engr Mejba Ahmed

Engr. Mejba Ahmed

Course Instructor

Building AI Agents with Claude: From Prompts to Production

About This Course

Claude is Anthropic's state-of-the-art AI model family, purpose-built for safety, reliability, and developer productivity. This course takes you from understanding what AI agents are to deploying production-ready agentic systems that can reason, use tools, retrieve documents, and coordinate with other agents.

You will build hands-on projects in both Python and JavaScript — from a simple chatbot to a fully-featured RAG pipeline, a multi-step calculator agent using tool use, and a multi-agent orchestration system powered by the Model Context Protocol. Every lesson includes real code you can adapt for your own products.

Whether you are an experienced developer entering the AI space or a practitioner who wants to move beyond basic prompting, this course gives you the architectural knowledge and practical skills to ship AI features that behave reliably in production.

Course Curriculum

7 chapters 28 lessons 542 min

1 lesson available to preview

1 What Are AI Agents?
Preview 18min
2 Types of AI Agents and Architectures
20min
3 The Claude Model Family: Haiku, Sonnet, and Opus
16min
4 Agents vs Simple Prompts: When to Use Each
14min
1 Anthropic SDK Setup: Python and JavaScript
18min
2 The Messages API Deep Dive
22min
3 Streaming Responses
16min
4 Token Management and Cost Optimization
20min
1 Crafting Effective System Prompts
20min
2 Few-Shot Examples and Chain-of-Thought
18min
3 Structured Output and JSON Mode
16min
4 Temperature, Top-P, and Sampling Tuning
14min
1 Defining Tools with JSON Schema
20min
2 Handling tool_use Blocks and Returning Results
22min
3 Multi-Step Tool Chains
22min
4 Project: Building a Calculator Agent
24min
1 Embeddings and Vector Databases
22min
2 Document Chunking Strategies
18min
3 The Retrieval Pipeline
20min
4 Generating Grounded Answers
22min
1 The Orchestrator Pattern
22min
2 Agent Delegation and Parallel Execution
20min
3 Model Context Protocol (MCP)
20min
4 Claude Code SDK and Agent Communication
18min
1 Rate Limiting and Error Handling
20min
2 Cost Optimization Strategies
18min
3 Monitoring and Observability
20min
4 Guardrails, Safety, and Responsible AI
22min
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