Agentic AI Training in Amersfoort

This instructor-led bootcamp in Amersfoort provides a practical approach to building autonomous AI agents in Python. Participants will complete five progressive projects that cover design patterns, API orchestration, and multi-agent workflows, effectively transitioning from theoretical foundations to real-world implementation.

This practical course in Amersfoort walks you through the process of deploying agentic AI on resource-limited devices. Master the art of building, tuning, and managing lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, thereby enhancing speed, privacy, and system reliability.

This instructor-led, live training in Amersfoort provides an introduction to agentic AI, covering prompt engineering, design patterns, and ethical usage. Participants will learn to construct simple agent workflows using Python, integrate tools, and apply safety measures to ensure effective, secure, and scalable autonomous systems.

This live, instructor-led training in Amersfoort helps intermediate professionals design and scale agentic AI solutions for business automation. Participants will learn to map workflows, integrate tools, and develop practical applications in customer service, supply chain, and marketing, with a focus on achieving measurable impact.

This live training in Amersfoort empowers advanced professionals to design and implement multi-agent systems using Python. It covers agent coordination, reinforcement learning, and distributed computing, utilizing frameworks such as Mesa and Ray, and concludes with a practical capstone project.

This instructor-led training on Amersfoort focuses on reinforcement learning and decision-making for agentic AI. Learners will implement DQN, PPO, and A3C using Python, model environments via OpenAI Gym, and integrate these techniques into robotics and planning systems to achieve real-world adaptive behavior.

This live training in Amersfoort empowers advanced professionals to scale and operationalize agentic AI systems in production. It addresses MLOps, observability, and cost management, fostering the creation of robust, observable, and cost-efficient pipelines for large-scale deployments.

This instructor-led training in Amersfoort explores governance, identity management, and red-teaming for agentic AI systems. Advanced practitioners will learn to design secure deployments, implement least-privilege access, and execute adversarial testing to mitigate real-world threats in production environments.

This instructor-led live training in Amersfoort concentrates on the practical application of Python for autonomous AI agents. It explores modern SDKs such as LangChain and AutoGen, empowering engineers to build, connect, and orchestrate complex agent workflows with confidence.

This instructor-led live training in Amersfoort focuses on practical Python strategies for constructing autonomous agents. Key topics include agent loops, tool integrations, memory management, orchestration, and safety controls. Specifically designed for ML engineers, the course emphasizes deploying robust, production-ready agents.

This instructor-led, live training in Amersfoort (online or onsite) is designed for intermediate-level AI developers and automation specialists who aim to incorporate agentic features into AI-powered applications.

Upon completion of this training, participants will be equipped to:

• Grasp the core principles of agentic AI and autonomous decision-making.
• Develop goal-oriented AI agents using self-optimization methods.
• Implement multi-agent collaboration for tackling complex problems.
• Improve human-AI interaction via adaptive user experiences.
• Deploy agentic AI models in practical, real-world scenarios.

This instructor-led, live training in Amersfoort (online or onsite) is intended for advanced professionals seeking to develop and optimize multi-agent systems using Agentic AI frameworks.

By the end of this training, participants will be able to:

• Understand the principles of Agentic AI in multi-agent environments.
• Develop AI-driven agents that interact autonomously.
• Implement reinforcement learning for adaptive AI behavior.
• Optimize multi-agent collaboration and competition.
• Apply Agentic AI in robotics, gaming, and enterprise automation.

This instructor-led, live training in Amersfoort (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for enterprise-scale automation and strategic AI adoption.

By the end of this training, participants will be able to:

• Understand the role of Agentic AI in enterprise applications.
• Integrate autonomous AI agents with enterprise systems.
• Optimize AI-driven workflows for scalability and efficiency.
• Ensure compliance, security, and governance in AI automation.
• Develop AI-driven business strategies for digital transformation.

This instructor-led, live training in Amersfoort (online or onsite) is tailored for advanced professionals seeking to harness Agentic AI for decision-making in complex business and technical contexts.

Upon completion of this training, participants will be equipped to:

• Grasp the fundamental principles of autonomous decision-making in AI.
• Design and deploy AI agents capable of operating with minimal human oversight.
• Integrate Agentic AI into automation workflows and existing business systems.
• Enhance AI-driven decision processes to improve efficiency and scalability.
• Address compliance, security, and ethical requirements inherent in AI autonomy.

This instructor-led, live training in Amersfoort (online or onsite) is aimed at intermediate-level AI engineers, ML researchers, and developers who wish to build and implement Agentic AI systems in real-world applications.

By the end of this training, participants will be able to:

• Understand the core principles of Agentic AI systems.
• Implement AI agents capable of autonomous reasoning and action.
• Integrate Agentic AI with APIs and third-party services.
• Optimize multi-agent interactions for complex tasks.
• Address ethical, security, and scalability challenges in Agentic AI.

This instructor-led, live training session in Amersfoort (offered online or onsite) is targeted at beginner-level professionals seeking to grasp the fundamental principles of Agentic AI, its capabilities, and its potential impact on industries.

Upon completion of this training, participants will be able to:

• Comprehend the fundamental tenets of Agentic AI.
• Distinguish between conventional AI and autonomous AI agents.
• Investigate practical implementations of Agentic AI across diverse industries.
• Evaluate the advantages and obstacles associated with deploying autonomous AI systems.
• Examine the ethical implications and security aspects of Agentic AI.

This one-day course provides software engineers, technical leads and development teams with a practical framework for working effectively with AI coding agents in real-world software projects. Rather than focusing on prompting techniques alone, the course explores the complete agent ecosystem, including context engineering, reusable workflows, MCP (Model Context Protocol) integrations, feedback loops, security and organisational adoption.

AI agents are transitioning from experimental prototypes to autonomous production systems operating across text, image, speech, and tool-driven workflows. This shift demands higher standards for engineering precision, resilience against adversarial threats, and regulatory compliance. This instructor-led training guides advanced practitioners through the entire agent lifecycle, covering the design of single and multi-agent architectures, integration of multi-modal perception capabilities, and orchestration of coordinated behaviors using modern frameworks. Through progressive Python-based hands-on labs, participants will construct a production-grade multi-agent system, subsequently stress-testing it with adversarial techniques and the Adversarial Robustness Toolbox. The course concludes with an alignment to NIST AI RMF, ISO/IEC 42001, EU AI Act, and GDPR standards, alongside secure deployment, monitoring, and incident response strategies, ensuring participants can deliver agents that are robust, defensible, and compliant.

This instructor-led, live training in Amersfoort (online or onsite) is aimed at beginner-level / intermediate-level developers and cloud practitioners who wish to use Alibaba Cloud to build AI agents that can automate tasks, answer questions, and connect with business systems.

By the end of this training, participants will be able to: understand AI agent architecture on Alibaba Cloud, build a simple agent workflow, connect an agent to enterprise knowledge and tools, deploy and monitor an agent in a cloud environment.

This instructor-led, live training in Amersfoort is aimed at intermediate-level professionals who wish to automate business processes and build their first AI agent with Make.

By the end of this training, participants will be able to:

• Design no-code workflows in Make with triggers and webhooks.
• Connect an AI agent to their data within a flow.
• Automate a real process end to end, with error handling and monitoring.