![\"udacity](\"https:\/\/www.europesays.com\/ai\/wp-content\/uploads\/2026\/07\/udacity_claude.JPG\")
<\/p>\nUdacity has just launched a four-month Nanodegree Program that prepares developers to build and ship production-grade AI agent systems with Anthropic’s Claude. It is just\u00a0in time for prospective participants to take advantage of its Summer Sale. Enrol today, before\u00a015:59 PT using code \u201cJULY4TH50\u201d\u00a0for 50% off.\u00a0<\/p>\n
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Disclosure: When you make a purchase having followed a link to from this article, we may earn an affiliate commission which makes a valuable contribution to maintaining this site now and in the future.<\/p>\n
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Claude regularly comes top as the most popular LLM for agentic AI and Udacity’s latest Nanodegree Program, AI Engineering With Claude\u00a0<\/a>provides four\u00a0project-based courses in which you build agentic AI systems with Claude\u00a0across financial services, retail, manufacturing, and insurance. With expert mentor reviews you can produce a portfolio that proves you can ship.<\/p>\n
<\/p>\n This is a 4-month program, claimed to require 38 hours, at Intermediate level and its prereqisites are:<\/p>\n
You will also need to be able to communicate fluently and professionally in written and spoken English.<\/p>\n
<\/p>\n The curriculum relies heavily on Claude, the Claude Agent SDK, Model Context Protocol (MCP), and Claude Code. It is also designed to help align your skills with Anthropic’s independent Claude Certified Architect Foundations exam.<\/p>\n
<\/p>\n AI Engineering With Claude<\/a>\u00a0comprises four courses, each culminating in a hands-on project:<\/p>\n
<\/p>\n Harness Engineering with Claude and Claude Code\u00a0– 12 hours (15 lessons)
<\/p>\n Project:\u00a0Stand up, run, and verify four reference systems from the course, then\u00a0defend each one’s design in a reflection brief grounded in your own run\u00a0output.<\/p>\n
<\/p>\n MCP in Action – 11 hours
<\/p>\n Project: Build the “PriceScout” AI agent. Write a client that uses an LLM to command custom scraper and database servers to analyze competitor pricing automatically.<\/p>\n
<\/p>\n Agent Evaluation and Observability with Claude\u00a0– 7 hours\u00a0
<\/p>\n Project: Operate three document and risk systems you built: run them, break them on purpose, and defend their design with your own evidence.\u00a0<\/p>\n
<\/p>\n Bounded Autonomy and Guardrails with Claude and Claude Code\u00a0– 8 hours
<\/p>\n Project: Build an enterprise-ready Code Review tool using the Claude Agent SDK that uses different tools to check the quality of code in PRs.\u00a0\u00a0<\/p>\n
<\/p>\n The 50% offer, which is valid for new customers until July 7, 2026 at 15:59 PT, by using code \u201cJULY4TH50\u201d applies to any monthly subscription, multi-month bundle, or one-time Nanodegree purchase and even extends to the Master of Science in AI (MSAI) degree<\/a>, outlined in previous news<\/a>.\u00a0<\/p>\n
AI Engineering With Claude<\/a><\/p>\n
Udacity Nanodegree in Responsible AI<\/a><\/p>\n
<\/p>\n Masters Degree in AI from Udacity<\/a>\u00a0<\/p>\n
<\/p>\n Udacity Launches Gen AI Nanodegree<\/a><\/p>\n
<\/p>\n More Machine Learning From Udacity<\/a>\u00a0<\/p>\n
<\/p>\n To be informed about new articles on I\u00a0Programmer,\u00a0sign up for our\u00a0weekly newsletter<\/a>,\u00a0<\/a>subscribe to the\u00a0RSS\u00a0feed<\/a>\u00a0and\u00a0follow us on Facebook<\/a> or\u00a0Linkedin<\/a>.<\/p>\n \u00a0\u00a0
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\nAgentic AI
\nGenerative AI Fluency
\nBasic Python
\nBasic typescript
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Build the engineering skills to put Claude and Claude Code to work on real systems. You’ll choose the right Claude model for a job by weighing intelligence, speed, and cost, then design agent architectures that perceive, reason, and act. Using the Claude Agent SDK, you’ll build production agents driven by stop-reason loops and engineer context strategies that keep long conversations affordable.<\/p>\n
(11 lessons)
Connect AI applications to the tools, data, and systems they need using the Model Context Protocol (MCP). You’ll start with the architecture: how hosts, clients, and servers talk to each other. From there you’ll work through the core server features (tools, resources, and prompts) and client features like roots and sampling. You’ll build your own MCP servers, integrate them with Claude Agent SDK agents, and add custom tools of your own.<\/p>\n
(8 lessons)
Make AI agents you can trust by measuring what they do and watching how they behave in production. You’ll enforce structured outputs with schemas so an agent’s responses stay predictable and machine-readable. Then you’ll build automated evaluation frameworks that score an agent’s task completion, quality, and reliability. You’ll apply these skills to real document-extraction systems: a validated, routed insurance policy pipeline and a resilient mortgage extraction system that holds up under messy input.<\/p>\n
(5 lessons)
Give AI agents room to act on their own while keeping them inside firm boundaries. You’ll design multi-agent systems where an orchestrator coordinates specialized agents, then build a hub-and-spoke system with the Claude Python SDK. From there you’ll add guardrails that hold: deterministic hooks that enforce agent compliance no matter what the model decides to do.<\/p>\n
\nMore Information\u00a0
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