Build AI Agents with Claude. Easy and No-Code AI (Udemy.com)
Build powerful AI agents with no-code using Claude with CrewAI AI Agent framework. Start autonomous AI app development
Created by: Diogo Alves de Resende
Last updated October 2026
What you will learn
- How to install and use Flowise locally or on the cloud
- Connecting OpenAI, Claude, or custom LLMs to Flowise
- Building agents with tools, memory, and decision-making capabilities
- Using retrievers to create RAG (retrieval-augmented generation) apps
- Visualizing agent flows, chains, and routing in Flowise
- Deploying and sharing your Flowise agents with others
How it compares
Against the other 1,107 rated Udemy courses in Personal Development on CourseDuck:
- Rating4.4 out of 5higher than 20% of them
- Reviews141#775 of 1,108 by number of reviews
- Length2.2 hoursshorter than 53% of them
- Last updatedOctober 2026more recently than 100% of them
Course Description
This course includes awesome use of artificial intelligence.
Build a complete AI-powered application with a team of intelligent AI agents using Claude Code and CrewAI.
In this practical, project-based course, you’ll go beyond simply chatting with AI. You’ll learn how to use AI to help you design an interface, build an application, create specialized AI agents, connect them to external tools, and orchestrate them as a team.
You’ll start by understanding the difference between LLMs, AI workflows, and AI agents. Then, step by step, you’ll build the course project using Claude Code and CrewAI.
You’ll use Claude to help create the application itself, work with design systems, build the user interface, and set up the AI agent architecture behind it.
From there, you’ll create a team of specialized agents that can work together, delegate tasks, use different language models, search for information, and produce useful final outputs.
You’ll also learn the practical foundations behind modern AI applications: APIs, API keys, system messages, prompt engineering, few-shot prompting, personas, and agent testing.
Rather than learning these concepts in isolation, you’ll apply them directly while building a real application.
What You’ll Learn
Understand LLMs, AI workflows, and AI agents
Build applications faster with Claude Code
Use Claude Design Systems to create and improve your UI
Build an AI agent team with CrewAI
Define specialized roles and instructions using system messages
Connect your application to OpenAI and Anthropic models
Understand APIs and safely configure API keys
Give AI agents access to external search using Serper
Apply prompt engineering techniques such as personas and few-shot examples
Test, debug, and improve your AI-powered application
Generate useful outputs from a coordinated team of AI agents
What You’ll Build
Throughout the course, you’ll build a working application powered by a multi-agent AI team.
Instead of relying on a single AI assistant, you’ll create specialized agents with different responsibilities and connect them through CrewAI.
You’ll build the interface with the help of Claude Code, configure the underlying AI system, connect multiple APIs, test the application, and see how the agents collaborate to produce the final results.
By the end, you won’t just understand AI agents.
You’ll have built an actual AI agent application yourself.
Requirements
No previous experience with AI agents or CrewAI is required
Basic familiarity with AI tools such as ChatGPT or Claude is helpful
A computer with internet access
Access to Claude
API keys for the services used during the course, including OpenAI, Anthropic, and Serper
A willingness to build and experiment alongside the lectures
Ready to Build with AI Agents?
AI-assisted development is changing what one person can build.
Instead of manually writing every part of an application, you can now work alongside AI to create the interface, application logic, prompts, and intelligent agents that power the product.
Join the course and build your own AI-powered application with Claude Code and CrewAI.
Let’s build it together — see you in the course!
Instructor Details
- 4.4 Rating
141 Reviews
Diogo Alves de Resende
Hi, I’m Diogo Resende, a data scientist, AI educator, course creator, and startup founder.
I believe data, analytics, and AI should feel practical, approachable, and useful, and definitely not intimidating, overly academic, or disconnected from real work. My goal is to help people understand not just how technology works, but how to use it to solve meaningful business problems, build useful projects, and grow their careers.
For more than a decade, I’ve worked at the intersection of data, business, and technology, helping people and companies turn complex problems into practical, data-driven decisions. My background combines hands-on industry experience, business strategy, analytics, machine learning, forecasting, A/B testing, commercial planning, and generative AI.
That mix of technical depth and business context shapes the way I teach. I create learning experiences that are clear, practical, and focused on real outcomes. Over the years, I’ve taught tens of thousands of learners through online courses covering Python, data science, statistics, time series forecasting, RAG, AI agents, and modern AI tools.
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Reviews
By Tobiloba OLAPADE on 6/24/2026
Smooth teaching and very esy to follow through
By A K M GOLAM MAHBUB on 6/8/2026
Very good hands on course for beginners, but must have some understanding about AI and how it works. Looking forward for an advanced courses with interesting real life projects using RAG and API integration.
By Harley Hochstetler on 3/12/2026
This course was very practical, easy to understand step by step explanations. The instructor wasn't afraid of errors in the process, as they were taken as learning opportunities. I really enjoy learning, and am sure it will help me apply AI Agents in my own field of work.
By Johny Sheik on 1/20/2026
I was expecting a bit more and better explanation.
By Han Poh Tin on 1/15/2026
From the course content, Flowise appears to be less intuitive compared to n8n. Updating individual nodes in the workflow—such as configuring node parameters and instructions—often requires frequent back-and-forth, which can be confusing for trainees who are new to the tool. Overall, the course would benefit from a more structured and organised progression of learning, which may improve clarity and ease of understanding for trainees.
By Yip Zhen Wai David on 1/3/2026
It was good and I have learnt more about assigning different roles for AI agents and to make them work together I would recommend it
By Leo Cloutier on 12/29/2025
Amazing! Thank you for this course!
By Beatriz Fuertes on 12/29/2025
The course practical, up to date, and packed with cool workflows.
Quality Score
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Overall Score : 88 / 100












