Agentic AI Training in Copenhagen

This live training in Copenhagen examines how agentic AI is redefining organizational workflows, talent strategies, and job design. Designed for intermediate professionals, it addresses autonomous decision-making, enterprise readiness, and governance frameworks to facilitate responsible and compliant AI adoption.

This instructor-led intensive in Copenhagen provides a practical pathway to building autonomous AI agents with Python. Participants work through five progressive projects that cover design patterns, API orchestration, and multi-agent workflows, bridging the gap between theory and real-world deployment.

This hands-on course on Copenhagen provides a comprehensive guide to deploying agentic AI on resource-constrained devices. Learn to construct, optimize, and manage lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, thereby improving speed, privacy, and overall system reliability.

This live, instructor-led training in Copenhagen provides an introduction to agentic AI, exploring prompt engineering, design patterns, and responsible usage. Participants will learn how to create simple agent workflows using Python, integrate external tools, and establish safety protocols to ensure autonomous systems are effective, secure, and scalable.

This instructor-led, live training in Copenhagen guides intermediate professionals in designing and scaling agentic AI for business automation. Participants will learn to map workflows, integrate tools, and build practical use cases in customer service, supply chain, and marketing, ensuring measurable impact.

This live training in Copenhagen empowers advanced professionals to design and deploy multi-agent systems using Python. The curriculum covers agent coordination, reinforcement learning, and distributed computing with frameworks such as Mesa and Ray, culminating in a practical capstone project.

This instructor-led training in Copenhagen focuses on reinforcement learning and decision-making for agentic AI. Learners will implement DQN, PPO, and A3C using Python, build environment models with OpenAI Gym, and apply these methods to robotics and planning systems to enable real-world adaptive behavior.

This live training in Copenhagen empowers advanced professionals with the skills necessary to scale and operationalize agentic AI systems in production. It covers MLOps, observability, and cost control, enabling the design of resilient, observable, and cost-optimized pipelines for large-scale deployments.

This live, instructor-led training in Copenhagen guides BI professionals in modernising legacy systems with WrenAI. You will evaluate current environments, plan migrations to conversational analytics, and steer change management initiatives to guarantee successful adoption and tangible business impact.

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

This live, instructor-led training in Copenhagen highlights practical Python applications for autonomous AI agents. It addresses modern SDKs like LangChain and AutoGen, allowing engineers to build, link, and orchestrate intricate agent workflows with assurance.

This instructor-led training in Copenhagen enables finance professionals to utilise WrenAI for KPI modelling and the design of regulatory-aware dashboards. Participants will develop practical skills in data source integration, ensuring audit compliance, and creating risk management reports to support effective decision-making.

This instructor-led live training in Copenhagen focuses on practical Python techniques for developing autonomous agents. Topics include agent loops, tool integration, memory management, orchestration, and safety controls. Ideal for ML engineers, the course emphasizes deploying robust, production-ready agents.

This live training session in Copenhagen prepares advanced professionals with the critical skills required for WrenAI quality assurance. Attendees will master the evaluation of natural language to SQL accuracy, the application of prompt tuning, and the deployment of observability frameworks. This course is ideal for securing enterprise-level reliability and compliance.

This instructor-led, live training in Copenhagen (online or onsite) is designed for intermediate-level AI developers and automation specialists seeking to integrate agentic capabilities into AI-powered applications.

By the end of the session, participants will be able to:

• Comprehend the principles of agentic AI and autonomous decision-making.
• Build goal-driven AI agents using self-optimization techniques.
• Utilize multi-agent collaboration for solving complex problems.
• Refine AI-human interaction via adaptive user experiences.
• Deploy agentic AI models in practical applications.

This live, instructor-led training in Copenhagen empowers operations professionals to master WrenAI Spreadsheets and the Metrics Library. Participants will learn to construct AI-enabled reports, integrate live data streams, and optimize workflows to enhance operational analytics and drive more efficient business reporting.

This instructor-led live training, delivered either online or on-site in Copenhagen, is tailored for advanced professionals seeking to build and optimize multi-agent systems using Agentic AI frameworks.

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

• Comprehend the core principles of Agentic AI in multi-agent settings.
• Build AI-driven agents that operate autonomously.
• Utilize reinforcement learning to achieve adaptive AI behavior.
• Enhance multi-agent collaboration and competitive dynamics.
• Apply Agentic AI across robotics, gaming, and enterprise automation.

This instructor-led, live training in Copenhagen (delivered online or onsite) is designed for advanced-level professionals seeking to utilize Agentic AI for enterprise-scale automation and strategic AI adoption.

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

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

This live, instructor-led training in Copenhagen (offered online or onsite) is tailored for advanced professionals aiming to utilize Agentic AI for decision-making in intricate business and technical contexts.

By the conclusion of the program, participants will be able to:

• Comprehend the core principles of autonomous decision-making in AI.
• Develop and implement AI agents that operate with minimal human intervention.
• Integrate Agentic AI into automation workflows and enterprise business systems.
• Optimize AI-driven decision processes for maximum efficiency and scalability.
• Guarantee adherence to compliance, security, and ethical standards in AI autonomy.

This instructor-led live training in Copenhagen (online or onsite) is designed for intermediate-level AI engineers, ML researchers, and developers seeking to construct and deploy Agentic AI systems in practical environments.

By the end of the session, attendees will be able to:

• Comprehend the essential principles of Agentic AI systems.
• Build AI agents capable of independent reasoning and action.
• Integrate Agentic AI with APIs and third-party platforms.
• Optimize interactions among multiple agents for intricate tasks.
• Manage ethical, security, and scalability challenges inherent in Agentic AI.

This live, instructor-led program in Copenhagen (delivered online or on-site) targets introductory-level professionals seeking to master the foundational principles, capabilities, and industrial impact of Agentic AI.

By the conclusion of this course, participants will be able to:

• Comprehend the essential components of Agentic AI.
• Differentiate between standard AI and autonomous AI agents.
• Discover real-world implementations of Agentic AI in diverse sectors.
• Evaluate the pros and cons of deploying autonomous AI solutions.
• Analyze the ethical and security dimensions of Agentic AI.

This five-day course in Copenhagen equips finance professionals with advanced analytics, AI-assisted Python, and agentic AI capabilities. Learn to develop intelligent dashboards, optimize GL operations, and design autonomous workflows for financial analysis, reporting, and strategic decision support.

This one-day course equips software engineers, technical leads, and development teams with a practical framework for effectively leveraging AI coding agents in real-world software projects. Going beyond mere prompting techniques, the course delves into the complete agent ecosystem, covering context engineering, reusable workflows, MCP (Model Context Protocol) integrations, feedback loops, security, and organizational adoption strategies.

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

This live, instructor-led training in Copenhagen (online or onsite) targets beginner-to-intermediate developers and cloud practitioners seeking to use Alibaba Cloud to build AI agents that automate tasks, answer queries, and integrate with business systems.

Upon completion, participants will be able to: understand AI agent architecture on Alibaba Cloud, construct simple agent workflows, connect agents to enterprise knowledge bases and tools, and deploy and monitor agents in a cloud environment.

This instructor-led, live training in Copenhagen is tailored for intermediate-level developers seeking to design, develop, and test AI agents utilizing the Claude API and the Agent SDK.

By the conclusion of this training, participants will have the capability to:

• Utilize the Messages API with system prompts, structured outputs, and streaming
• Define tools and maintain a dependable tool-use loop
• Link agents to external systems using MCP servers
• Create and execute agents via the Claude Agent SDK, including managing permissions and subagents
• Lower costs and latency by implementing prompt caching and prudent context handling
• Test, log, and monitor agent actions using a small evaluation dataset

Claude Cowork handles end-to-end tasks—including research, document preparation, and file processing—instead of merely answering single prompts. This course covers the essentials of writing effective assignments, reviewing plans, and validating outcomes. Participants will delegate three real-world tasks and configure a scheduled automation.

This live, instructor-led training in Copenhagen is ideal for knowledge workers, assistants, and project or department leads looking to delegate entire workflows to Claude, surpassing the limitations of step-by-step chat.

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

• Understand the distinction between chat interactions and delegated tasks in Cowork
• Define assignments with clear goals, materials, constraints, and acceptance criteria
• Create documents, spreadsheets, and presentations from designated folders
• Delegate research processes from initial questions to finished reports
• Utilize plugins, skills, and connectors within Cowork
• Set approval gates, backups, and secure folder access rules

Course Format

• Duration: 1 day (7 hours)
• Interactive learning with a trainer, including discussions and practical exercises based on participants' own use cases
• Day 1 Outcome: Each participant will have delegated three real tasks to Cowork, reviewed the outputs, and established a scheduled task.

Customization Options

• Contact us to arrange a customized training program for this course.

These agents enable teams to respond to knowledge-based inquiries and support document workflows within a controlled environment. This two-day programme focuses on Agent Builder on day one and Copilot Studio—incorporating approval mechanisms and test scenarios—on day two. Participants will conclude the course with a verified knowledge agent and a preliminary Studio agent.

Delivered by an instructor in Copenhagen, this live training is designed for key users, AI champions, and department heads looking to develop their own Copilot agents for knowledge retrieval and document processing.

Upon completion, participants will be equipped to:

• Determine when Copilot Chat is sufficient versus when a dedicated agent is required
• Construct a knowledge agent in Agent Builder, defining the audience, knowledge sources, and operational limits
• Grasp the architecture of Copilot Studio agents and build an initial prototype
• Decompose document workflows into manageable steps that include human approval checkpoints
• Validate agents using specific test cases and acceptance criteria
• Categorize roles, permissions, licensing requirements, and operational considerations

Course Format

• Duration: 2 days (7 hours per day)
• Interactive sessions featuring trainer-led discussions and hands-on exercises tailored to participants' specific use cases
• Day 1 Deliverable: A tested knowledge agent and a tool mapping overview for personal work scenarios.
• Day 2 Deliverable: A draft Studio agent with approval features, two validated process scenarios, and a strategic roadmap for individual use cases.

Customisation Options

• Please contact us to discuss arranging a bespoke training programme for this course.

This course demonstrates how to create an AI assistant capable of answering queries regarding corporate policies, manuals, and processes by citing specific sources. Participants will learn to prepare documentation, select an appropriate platform, develop the agent without coding, and evaluate its performance using a standardized question catalog. The training concludes with the creation of a comprehensive maintenance plan.

Delivered as a live, instructor-led session in Copenhagen, this course is designed for teams, knowledge custodians, and key users seeking to provide accurate answers derived from their internal documents, policies, and manuals.

Upon completing this training, participants will be equipped to:

• Grasp the fundamentals of Retrieval-Augmented Generation (RAG) and understand the inherent limitations of document-based AI answers
• Optimize document preparation to ensure answer accuracy
• Select the most suitable platform for a knowledge agent
• Develop and distribute a no-code knowledge agent
• Validate responses using a question catalog and source references
• Establish operational procedures for maintenance, role definition, and content currency

Course Format

• Duration: One day (7 hours)
• Interactive sessions featuring trainer guidance, discussions, and hands-on exercises applied to participants' specific use cases
• Day 1 Outcome: Each participant will have a shared knowledge agent built on their own documents, a measured success rate, and a finalized maintenance plan.

Customization Options

• Contact us to discuss and arrange customized training for this course.

Langdock unifies multiple AI models, custom assistants, corporate knowledge bases, and automated workflows into a single enterprise platform. This program focuses on practical daily applications, including effective chat utilization, the development and dissemination of specialized assistants, integrating various knowledge sources, and configuring workflows that include human oversight. Additionally, it addresses critical governance aspects such as data handling rules, role definitions, and organizational rollout strategies.

This instructor-led, live training in Copenhagen is tailored for departments and key users within organizations that are currently utilizing or onboarding Langdock as their central AI solution.

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

• Operate Langdock with confidence, navigating chat interfaces, model selection, assistant management, knowledge integration, and workflow automation
• Select the most appropriate AI model for specific task requirements
• Develop customized assistants incorporating instructions and company-specific knowledge, and facilitate their sharing across teams
• Integrate SharePoint, OneDrive, and other platforms to establish a robust knowledge base
• Configure straightforward workflows that incorporate mandatory human approval steps
• Establish clear internal regulations regarding data usage, user roles, and approval processes

Training Format

• Duration: Two days (seven hours per day), with the option to complete the course as four half-day online sessions
• Engaging interactive sessions featuring a trainer, open discussions, and hands-on exercises focused on participants’ specific use cases
• Day 1 Deliverables: Each participant will have a personalized template, a structured knowledge folder, and a shared assistant tailored to their domain.
• Day 2 Deliverables: Each participant will possess a functional workflow with approval controls, a connected knowledge source, and a strategic plan for the subsequent 30 to 60 days.

Customization Options

• To arrange a tailored training experience for this course, please get in touch with us.

This live, instructor-led training in Copenhagen is designed for intermediate-level professionals looking to streamline business operations and create their first AI agent using Make.

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

• Create no-code workflows in Make utilizing triggers and webhooks.
• Integrate an AI agent with their data within a flow.
• Automate practical processes end-to-end, incorporating error handling and monitoring.

Envision a personal AI agent that autonomously sorts your inbox, schedules appointments, drafts briefings, and executes daily routines like a morning summary. This intensive one-day workshop guides you through the setup process, emphasizing the creation of a personalized context, the integration of connectors, and the establishment of robust protocols for approval and data protection. By the end of the session, participants will possess a fully operational agent configured with two active routines.

This live, instructor-led training Copenhagen is tailored for professionals, assistants, project managers, and self-employed individuals seeking to deploy a personal AI agent for their specific workflow.

Upon completion of this course, you will be equipped to:

• Distinguish between tasks suitable for a personal AI agent and those requiring human oversight
• Construct a personalized context encompassing your profile, specific instructions, and key notes
• Manage email and calendar functions with AI assistance while maintaining full control
• Enhance meeting and conversation preparation through automated briefing generation
• Implement daily routines such as morning overviews and weekly reviews
• Establish clear boundaries regarding approvals, data protection, and operational limits for your agent

Course Structure

• Duration: One day (7 hours)
• Interactive instruction featuring live discussion and hands-on exercises focused on your unique use cases
• Day 1 Deliverable: A configured personal agent with a defined profile, connected mailbox and calendar, and two operational routines

Customization Options

• To explore tailored training options for this curriculum, please reach out to us to discuss your specific requirements.

This live, instructor-led training in Copenhagen is tailored for managers, assistants, and knowledge workers.

By the end of the session, participants will be able to:

• Utilize AI support to organize email and calendar tasks
• Speed up meeting preparation and research activities
• Establish a personal assistant customized to their specific needs
• Ensure the protection of personal and company data