Course Includes:
- Price: FREE
- Enrolled: 1211 students
- Language: English
- Certificate: Yes
- Difficulty: Beginner
Coupon verified 11:19 AM (updated every 10 min)
Course Folder
What You'll Learn
- Understand the difference between Generative AI
- AI assistants
- and agentic AI systems.,Build practical AI agents using Claude models
- APIs
- prompts
- tools
- and function calling.,Design structured prompts using system instructions
- XML
- JSON schemas
- and output controls.,Create reliable tool integrations for databases
- calculators
- search systems
- and external APIs.,Build Retrieval-Augmented Generation pipelines using embeddings
- chunking
- and vector databases.,Add short-term memory
- long-term memory
- session state
- and persistent context to AI agents.,Design single-agent systems with planning
- reasoning loops
- task decomposition
- and error recovery.,Build multi-agent systems using supervisor-worker
- specialized-agent
- and collaborative patterns.,Compare and use orchestration approaches with LangChain
- LlamaIndex
- and custom frameworks.,Apply security guardrails against prompt injection
- data leakage
- and unsafe agent behavior.,Monitor agent performance
- decisions
- costs
- logs
- failures
- and tool usage.,Deploy scalable Claude-powered agents with APIs
- containers
- serverless platforms
- and human oversight.
Requirements
- Basic familiarity with computers
- software applications
- and modern AI tools is helpful.,Beginner-level Python knowledge is recommended but not required for understanding the concepts.,No previous experience with Claude
- agentic AI
- RAG
- or multi-agent systems is required.,A computer with a reliable internet connection is needed for demonstrations and exercises.,Access to a code editor such as Visual Studio Code
- PyCharm
- or a browser-based development environment.,A Claude or Anthropic developer account may be required for API-based exercises.,Basic knowledge of APIs
- JSON
- and command-line tools is useful but will be explained where needed.,Curiosity
- a willingness to experiment
- and an interest in building real-world AI applications.,Enterprise architecture
- cloud
- or software development experience is helpful but not mandatory.,The course is structured to support both motivated beginners and experienced technology professionals.
Description
This course contains the use of artificial intelligence.
Build intelligent, autonomous, and enterprise-ready AI systems with Claude Agentic AI in this comprehensive 12-week, hands-on course. Designed for developers, AI engineers, architects, technical leaders, and professionals exploring the future of automation, this course teaches you how to design, build, evaluate, and deploy real-world agentic AI systems using Claude.
Unlike traditional generative AI applications that only respond to prompts, agentic systems can plan tasks, use tools, retrieve information, maintain memory, collaborate with other agents, and take actions toward defined goals. Throughout this course, you will move beyond basic chatbot development and learn how to create practical AI agents, multi-agent systems, and intelligent enterprise workflows.
You will begin by exploring the foundations of Agentic AI vs Generative AI, the Claude ecosystem, Claude models, APIs, tool use, and common agent design patterns. You will then develop advanced skills in Claude prompt engineering, including system prompts, behavioral shaping, structured prompting, XML and JSON output schemas, prompt evaluation, and iterative improvement techniques.
A major focus of the course is tool use and function calling with Claude. You will learn how to create reliable tool schemas, connect agents to calculators, databases, retrieval systems, business APIs, and external services, and build robust tool invocation workflows with validation, error handling, and retries.
The course also covers Retrieval-Augmented Generation, commonly known as RAG, including document chunking, embeddings, vector databases, retrieval pipelines, and methods for evaluating retrieval quality. You will combine Claude with enterprise knowledge sources to build accurate, context-aware assistants and internal knowledge agents.
As your systems become more advanced, you will implement AI agent memory, session state, persistent storage, vector memory, and symbolic memory. You will design single-agent systems using planning, task decomposition, reasoning loops, observability, logging, and recovery mechanisms.
You will then progress into multi-agent architecture, exploring supervisor-worker models, specialized agent roles, swarm patterns, agent communication, conflict resolution, and coordination strategies. You will compare popular AI orchestration frameworks, including LangChain, LlamaIndex, and custom workflow approaches, while learning when to use deterministic workflows versus autonomous agents.
Real-world enterprise applications are integrated throughout the course. You will explore AI copilots, customer support automation, internal knowledge assistants, software engineering agents, and intelligent business workflow automation.
Security and governance are also central to the curriculum. You will learn about AI governance, prompt injection, sensitive data leakage, access control, guardrails, auditing, compliance, and enterprise risk management.
Finally, you will learn how to deploy and scale Claude-powered agents using APIs, serverless architectures, containers, monitoring, cost optimization, and human-in-the-loop controls. The course concludes with a capstone project in which you will design, build, test, evaluate, and present a complete enterprise agentic AI solution.
By the end of this course, you will have the practical skills and architectural knowledge needed to build reliable, secure, scalable, and production-ready Claude AI agents for real-world applications.
Who this course is for:
- Software developers who want to build production-ready AI agents using Claude.,AI engineers interested in tool use
- RAG
- memory
- orchestration
- and multi-agent systems.,Solution architects designing enterprise AI platforms and intelligent automation workflows.,Data scientists who want to move from model experimentation to complete agentic applications.,Technical leaders evaluating Claude and agentic AI for enterprise adoption.,Cloud engineers and DevOps professionals supporting AI application deployment and scaling.,Product managers working on AI copilots
- assistants
- and workflow automation products.,Automation professionals seeking to integrate AI agents with business tools and APIs.,Security
- governance
- and compliance professionals responsible for managing AI risks.,Consultants and forward-deployed engineers building customized AI solutions for clients.,Students and career changers seeking practical
- portfolio-ready agentic AI skills.,Anyone interested in understanding how autonomous AI systems are designed
- governed
- and deployed.
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