Build AI Workflow Agents in Python

Transform complex business processes into intelligent, self-running systems that work 24/7 while you sleep

AI Experts with a Bachelor & Master in AI and 10+ years of experience
Possible in different languages, including Dutch, English, and German
AI workshop
300+
participants trained about AI
15+
of the most impactful GenAI tools
20+
use cases will be introduced
100%
future-proofing your skills

Content of Building your own AI Agent in Python Workshop

Learn about the fundamentals of Generative AI and discover practical uses for Generative AI in your organization and its departments, tailored to the participants of the workshop.
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Introduction to AI Agents and Python

We'll uncover how Python has become the language of choice for building advanced AI agents. We’ll guide you through your professional development environment using UV (modern Python package management) and Ruff (high-performance code linter).

Showcase of AI Agents build in Python

See hands-on demonstrations of AI agents using cutting-edge APIs. Learn how tools like ChatGPT, Claude, and Gemini can be accessed programmatically to perform complex automation with minimal effort. We’ll showcase real-world agent examples that automate repetitive business tasks and coordinate multi-step workflows, giving you a clear vision of what you will build.

Building AI Agents in Python

Dive into the “how” of building production-ready AI agents and orchestrated workflows. Explore advanced frameworks like LangGraph, LangChain, and LangSmith to create workflows that can be run locally or in the cloud. Learn best practices for making your AI agents reliable, observable, and ready for real business use.

Building AI Agents in Python Workshop

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Experts in Artificial Intelligence

Meet Chris, one of the Generative AI Experts at DataNorth and one of our trainers who provides in-company workshops on Building your own AI Agent in Python.
Like Chris, all of our experts have a Bachelors and/or Masters degree in AI. Besides giving workshops, our Experts build and implement the most advanced Generative AI solutions.

"Within the company, a lot of people had not used AI before. After the workshop, they were carried away and started using it."

Pamela Corn

Director of Communications @ The Geneva Association

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Why Choose DataNorth?

We are the AI partner that empowers organizations like yours to harness the capabilities of Artificial Intelligence.

9+ Years of Experience in GenAI

DataNorth has over 9 years of experience in the field of Generative AI, developing everything from SaaS to fully custom GenAI solutions.

Highly Educated AI Experts

The AI experts at DataNorth hold at least a BSc. in relevant fields. In addition to giving workshops, they develop custom GenAI solutions for our clients.

300+ Participants Trained on GenAI

We’ve trained over 300 participants in Generative AI workshops, serving more than 20 international organizations.

Start Building AI Workflow Agents in Python today!

Master Python, LangChain & LangGraph to build intelligent AI workflow agents. Learn APIs, deployment & automation. Expert-led workshop.

€ 2.900

Also available in the USA at $3,200
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Build AI Workflow Agents in Python Workshop – 4 Hours

A 4 hour workshop given by one of our AI experts

Become an expert in building AI Agents

Interactive workshop for 10 attendees

Both on-location and digital options available.

Custom Quote

Also available in the USA
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Customize the Generative AI Workshop

Looking to customize your Generative AI Workshop? Get in touch to discuss how we can tailor the workshop to your needs!

For example: more attendees, a tailor-made workshop through interviews, an external location, etc.

Get started with your workshop today!

Dive into the world of AI Agents and see how it can make a difference for your organization!
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Frequently Asked Questions

  • What is the Build AI Workflow Agents in Python Workshop about?

    This advanced workshop teaches participants to create intelligent AI workflow agents using Python, LangChain, LangGraph, and various AI APIs.

    You’ll learn to build production-ready agents that can automate complex tasks, integrate with cloud services, and operate autonomously or with human oversight.

  • Who is this workshop designed for?

    This workshop is designed for experienced developers and AI professionals who already understand basic programming concepts.

    Ideal participants include:

    • Python developers
    • Data scientists
    • AI engineers
    • Technical professionals looking to implement advanced AI automation in their workflows.
  • Will I learn to deploy AI agents to production?

    Yes, the workshop covers both local development and cloud deployment strategies.
    You’ll learn to scale agents, implement monitoring, add security layers, and manage production workflows using industry best practices.

  • How does this workshop differ from basic Python AI courses?

    This is an advanced workshop focusing specifically on workflow agent development rather than general AI concepts. You’ll learn more about:

    • Production-grade techniques
    • Enterprise patterns
    • Advanced orchestration frameworks like LangGraph that aren’t covered in beginner courses.
  • Can I integrate these agents with existing business systems?

    Absolutely.

    The workshop covers integration patterns for:

    • CRMs
    • Databases
    • Cloud services
    • APIs
    • Enterprise applications.

    You’ll learn to build agents that work seamlessly within existing technology stacks.

  • How much can organizations save by implementing AI workflow agents?

    Organizations typically see 40-80% reduction in manual processing time and significant cost savings through automation.

    AI agents can handle tasks 24/7 with consistent quality, reducing operational costs while improving efficiency.

  • How do you handle error management and debugging in AI agents?

    The workshop covers comprehensive error handling strategies including retry mechanisms, fallback systems, logging with LangSmith, debugging workflows, and implementing robust exception management for production environments.

  • What's the difference between LangChain and LangGraph?

    LangChain provides the foundational components for LLM applications, while LangGraph offers advanced workflow orchestration with state management, conditional logic, and complex agent interactions. Both are essential for building sophisticated AI agents.

  • How do you ensure AI agents operate safely and reliably?

    The workshop covers safety patterns including human-in-the-loop systems, output validation, content filtering, rate limiting, and monitoring systems to ensure agents operate within defined parameters.

  • Do you have alternative Training & Workshops services?