Build real-world agentic systems using Claude, tools, and enterprise-ready design patterns
Sub Category
- Data Science
{inAds}
Objectives
- 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.
Pre Requisites
- 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.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
{inAds}
Coupon Code(s)