Agentic AI Training in Berlin

This live training in Berlin delves into the transformative impact of agentic AI on organizational workflows, talent strategies, and job architecture. Designed for intermediate-level professionals, the course covers autonomous decision-making, enterprise preparedness, and essential governance frameworks to ensure the responsible and compliant integration of AI.

This instructor-led bootcamp in Berlin provides a practical path to developing autonomous AI agents with Python. Participants will complete five sequential projects covering design patterns, API orchestration, and multi-agent workflows, progressing from theoretical foundations to real-world deployment.

This practical course in Berlin guides you through deploying agentic AI on resource-constrained devices. Learn to build, optimize, and manage lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, enhancing speed, privacy, and reliability.

This live, instructor-led training in Berlin explores the realm of agentic AI, detailing prompt engineering, architectural design patterns, and responsible usage strategies. Participants will learn to construct straightforward agent workflows using Python, integrate external tools, and apply safety measures to ensure autonomous systems are effective, secure, and scalable.

This live, instructor-led session in Berlin supports mid-level professionals in architecting and expanding agentic AI solutions for business operations. Learners will acquire the skills to map out processes, integrate essential tools, and develop actionable use cases in customer service, logistics, and marketing to drive measurable business outcomes.

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

This instructor-led training on Berlin addresses reinforcement learning and decision-making strategies for agentic AI. Participants will implement DQN, PPO, and A3C using Python, model environments with OpenAI Gym, and integrate these approaches into robotics and planning systems to achieve adaptive behavior in real-world settings.

This live training in Berlin empowers advanced professionals with the expertise required to scale and operationalize agentic AI systems in production. By covering MLOps, observability, and cost management, it enables the creation of resilient, observable, and cost-efficient pipelines for large-scale deployments.

This instructor-led live training in Berlin guides BI professionals in modernizing legacy systems via WrenAI. Participants will assess current environments, strategize the migration to conversational analytics, and direct change management efforts to drive successful adoption and tangible business results.

This instructor-led program in Berlin addresses governance, identity management, and red-teaming for agentic AI. Senior practitioners will learn to design secure deployments, enforce least-privilege access, and carry out adversarial testing to mitigate real-world threats in production settings.

This instructor-led, live training in Berlin emphasizes the practical application of Python for autonomous AI agents. By covering modern SDKs such as LangChain and AutoGen, it empowers engineers to build, connect, and orchestrate sophisticated agent workflows with confidence.

This instructor-led training in Berlin enables finance professionals to utilize WrenAI for KPI modeling and the design of regulatory-aware dashboards. Participants will acquire practical skills in integrating data sources, maintaining audit compliance, and constructing risk management reports to facilitate informed decision-making.

This live, instructor-led training in Berlin delves into hands-on Python strategies for creating autonomous agents. It addresses core components such as agent loops, tool integrations, memory management, orchestration, and safety protocols. Specifically designed for ML engineers, the course emphasizes the deployment of robust, production-ready agents.

This live instructor-led training in Berlin equips advanced professionals with critical skills for WrenAI quality assurance. Learners will master evaluating NL-to-SQL precision, applying prompt tuning, and establishing observability frameworks. It is ideal for guaranteeing enterprise-level reliability and compliance.

Dive into Agentic AI in healthcare through this instructor-led training in Berlin. Master the design, evaluation, and governance of agent workflows for clinical applications. Through hands-on labs and scenario-based tasks, participants will construct retrieval-augmented agents, implement guardrails, and gain proficiency in governance frameworks.

This instructor-led live course (online or on-site) in Berlin is tailored for intermediate AI developers and automation professionals seeking to embed agentic capabilities into their AI applications.

By the end of the program, participants will have the ability to:

• Comprehend the foundations of agentic AI and autonomous decision processes.
• Develop goal-driven AI agents that utilize self-optimization techniques.
• Apply multi-agent collaboration strategies for solving complex problems.
• Enhance AI-human dynamics through adaptive user experiences.
• Implement agentic AI models in live operational environments.

This live, instructor-led training in Berlin is designed to help operations professionals master WrenAI Spreadsheets and the Metrics Library. Participants will learn to create AI-driven reports, integrate live data sources, and optimize workflows to boost operational analytics and ensure efficient business reporting.

This live, instructor-led program in Berlin (online or on-site) is designed for advanced professionals seeking to build and enhance multi-agent systems utilizing Agentic AI frameworks.

By the conclusion of the course, participants will be capable of:

• Comprehending the fundamental principles of Agentic AI in multi-agent settings.
• Creating AI-driven agents that operate and interact autonomously.
• Utilizing reinforcement learning to achieve adaptive AI performance.
• Improving the balance between multi-agent collaboration and competition.
• Applying Agentic AI solutions in robotics, game development, and enterprise workflows.

This live, instructor-led training in Berlin empowers intermediate engineers to harness the WrenAI API for practical business applications. Learners will gain the ability to convert natural language into SQL, build and embed dynamic charts, and seamlessly integrate the API into backend systems and internal workflows.

This live, instructor-led training in Berlin (either online or onsite) is tailored for advanced professionals aiming to harness Agentic AI for enterprise-level automation and strategic integration.

Upon completion, attendees will be capable of:

• Comprehending the function of Agentic AI in enterprise applications.
• Integrating autonomous AI agents into enterprise systems.
• Optimizing AI-driven workflows for greater scalability and efficiency.
• Safeguarding compliance, security, and governance within AI automation.
• Crafting AI-driven business strategies for digital transformation.

This hands-on training in Berlin guides data professionals through setting up WrenAI Cloud, connecting diverse data sources, and modeling data for analytics. Participants will learn to transform information and build interactive dashboards that deliver actionable business insights.

This live, instructor-led session in Berlin (available online or onsite) is designed for advanced professionals aiming to utilize Agentic AI for decision-making in complex business and technical settings.

Upon completion of this training, participants will be capable of:

• Grasping the fundamental principles of autonomous decision-making in AI.
• Designing and implementing AI agents that operate with minimal human intervention.
• Integrating Agentic AI into automation workflows and business systems.
• Optimizing AI-driven decision processes for improved efficiency and scalability.
• Ensuring compliance, security, and ethical adherence in AI autonomy.

In Berlin, discover how to construct resilient semantic layers and enhance text-to-SQL capabilities using WrenAI OSS. Tailored for senior data and ML professionals, this course delves into prompt optimization, the application of guardrails, and the smooth incorporation of the tool into pipelines and analytics workflows to guarantee dependable outcomes.

This live, instructor-led training in Berlin—delivered online or on-site—is designed for intermediate-level AI engineers, ML researchers, and developers seeking to construct and implement Agentic AI systems in practical applications.

By the conclusion of the program, participants will possess the ability to:

• Comprehend the core principles of Agentic AI systems.
• Create AI agents equipped for autonomous reasoning and action.
• Connect Agentic AI with APIs and external third-party services.
• Optimize interactions between multiple agents for handling complex tasks.
• Manage ethical, security, and scalability issues within Agentic AI.

This live training in Berlin assists SaaS teams in embedding WrenAI's GenBI into customer-facing products using its Embedded API. You will learn to configure white-label analytics, design secure multi-tenant deployments, and optimize performance while ensuring compliance in modern, scalable SaaS environments.

This live, instructor-led course in Berlin (available online or on-site) is tailored for entry-level professionals seeking to grasp the foundational principles of Agentic AI, its functional strengths, and its prospective influence across various sectors.

Upon completion, attendees will be equipped to:

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

This instructor-led training in Berlin prepares product teams to adopt WrenAI for conversational analytics. Participants will learn to create robust NL-to-SQL workflows, standardize metrics, and integrate self-service BI dashboards directly into their daily product management routines.

This five-day course in Berlin empowers finance professionals with skills in advanced analytics, AI-assisted Python, and agentic AI. Participants will learn to build intelligent dashboards, streamline GL operations, and design autonomous workflows for financial analysis, reporting, and strategic decision support.

This one-day workshop provides software engineers, technical leads, and development teams with a practical framework for effectively integrating AI coding agents into real-world software projects. The session moves beyond simple prompting techniques to examine the full agent ecosystem, including context engineering, reusable workflows, MCP (Model Context Protocol) integrations, feedback loops, security, and organisational adoption.

AI agents are evolving from research prototypes into production-grade systems that act autonomously across text, image, speech, and tool-driven workflows, increasing the threshold for engineering rigor, adversarial robustness, and regulatory accountability. This instructor-led training guides advanced practitioners through the complete agent lifecycle, ranging from the architecture of single and multi-agent systems to the integration of multi-modal perception and the orchestration of coordinated agent behaviors via modern frameworks. Python-based hands-on labs progressively develop a production-quality multi-agent system, which participants then stress-test using adversarial techniques and the Adversarial Robustness Toolbox. The course concludes with alignment to NIST AI RMF, ISO/IEC 42001, the EU AI Act, and GDPR, alongside secure deployment, monitoring, and incident response, ensuring participants can ship agents that are capable, defensible, and compliant.

This instructor-led, live training in Berlin (available online or onsite) caters to beginner and intermediate developers and cloud practitioners aiming to use Alibaba Cloud to build AI agents that automate tasks, respond to inquiries, and integrate with business systems.

By the end of the session, participants will be able to: comprehend AI agent architecture on Alibaba Cloud, construct basic agent workflows, integrate agents with enterprise knowledge bases and tools, and deploy and monitor agents within a cloud environment.

This live, instructor-led training in Berlin is designed for intermediate-level developers who aim to architect, construct, and validate AI agents leveraging the Claude API and the Agent SDK.

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

• Employ the Messages API utilizing system prompts, structured outputs, and streaming capabilities
• Specify tools and execute a robust tool-usage loop
• Link agents to external systems via MCP servers
• Create and operate agents with the Claude Agent SDK, incorporating permissions and subagents
• Lower costs and reduce latency through prompt caching and prudent context management
• Assess, log, and monitor agent behavior using a small-scale evaluation set

Rather than processing individual prompts, Claude Cowork assumes complete responsibilities, including research, document creation, and file management. This training guides you on drafting effective assignments, validating execution plans, and critically evaluating outcomes. You will delegate three practical assignments and configure an automated scheduled task.

This live, instructor-led session in Berlin targets knowledge workers, assistants, and team or department leads seeking to entrust entire workflows to Claude rather than engaging in iterative chat interactions.

Upon completion, you will be equipped to:

• Distinguish between conversational chat and delegated workflows in Cowork
• Structure assignments with clear objectives, source materials, constraints, and acceptance criteria
• Generate documents, spreadsheets, and presentations from specific folders
• Delegate end-to-end research processes, from initial inquiry to final reporting
• Leverage plugins, skills, and connectors within Cowork
• Establish approval gates, backup protocols, and secure folder access permissions

Training Structure

• Duration: 1 day (7 hours)
• Interactive sessions featuring trainer-led discussions and hands-on exercises applied to your specific use cases
• Day 1 Outcome: You will have delegated three real-world tasks to Cowork, reviewed the generated results, and configured a scheduled task.

Customization Options

• For tailored training options, please reach out to us to schedule.

Teams can leverage agents to handle knowledge inquiries and support document workflows in a structured manner. This two-day program focuses on Agent Builder during the first day and Copilot Studio—incorporating approval workflows and test scenarios—on the second. Attendees will conclude the course with a validated knowledge agent and a preliminary Studio agent setup.

This live, instructor-led training in Berlin is designed for key users, AI champions, and department leaders seeking to build custom Copilot agents for knowledge retrieval and document processing.

Upon completion, participants will be equipped to:

• Determine the appropriate scenario for using Copilot Chat versus deploying a dedicated agent
• Configure knowledge agents in Agent Builder, defining target audiences, knowledge sources, and operational boundaries
• Grasp the architecture of Copilot Studio agents and construct an initial instance
• Segment document processes into verifiable stages that require human oversight
• Validate agent performance using defined test cases and acceptance standards
• Distinguish between roles, permissions, licensing requirements, and operational responsibilities

Course Structure

• Length: 2 days (7 hours per day)
• Interactive sessions featuring a trainer, open discussions, and practical exercises based on participants' specific business contexts
• Day 1 Deliverable: Each attendee will possess a tested knowledge agent and a tool mapping guide for their work scenarios.
• Day 2 Deliverable: Each attendee will have a draft Studio agent with approval features, two verified process examples, and a strategic roadmap for their use cases.

Customization Availability

• Interested parties may contact us to request a tailored version of this training.

A document-based assistant empowers teams to retrieve precise answers regarding policies, manuals, and business processes while citing the exact source. This course guides you through the essential steps of optimizing documents, selecting the appropriate platform, developing a no-code agent, and validating responses using a structured question catalog. Additionally, participants will draft a comprehensive maintenance strategy.

This live, instructor-led training in Berlin is designed for teams, knowledge owners, and key users who aim to deliver accurate answers derived from their internal documentation, policies, and manuals.

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

• Grasp the fundamentals of Retrieval-Augmented Generation (RAG) and identify its operational boundaries
• Optimize document preparation to ensure answer accuracy
• Select the most suitable platform for a knowledge agent
• Develop and distribute a knowledge agent without writing code
• Validate responses using a question catalog and verify source references
• Establish protocols for maintenance, role definitions, and content currency in a live environment

Course Structure

• Duration: 1 day (7 hours)
• Interactive sessions featuring trainer-led discussions and hands-on exercises tailored to participants' specific use cases
• Day 1 Deliverable: Each participant will leave with a shared knowledge agent based on their own documents, a verified accuracy rate, and a defined maintenance plan.

Customization Possibilities

• Contact us to discuss and arrange a customized version of this training for your needs.

Langdock unifies various AI models, assistants, corporate knowledge repositories, and workflow automation into a single platform. This course explores practical daily usage, the creation and distribution of custom assistants, the integration of external knowledge sources, and the setup of workflows with human-in-the-loop approval. Additionally, it covers essential guidelines for data management, role assignment, and organizational rollout.

This live, instructor-led training in Berlin is tailored for departments and key users in companies using or adopting Langdock as a central AI platform.

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

• Proficiently operate Langdock, including chat interactions, model selection, assistant management, knowledge integration, and workflow configuration
• Select the optimal model for each specific task
• Create and share assistants with custom instructions and company knowledge with team members
• Connect SharePoint, OneDrive, and other sources to form a comprehensive knowledge base
• Implement simple workflows featuring human approval mechanisms
• Define internal rules for data handling, roles, and approval processes

Course Structure

• Duration: Two days (7 hours per day), also available as four online half-days
• Interactive instruction with a trainer, including discussions and hands-on exercises based on participants' use cases
• Day 1 Outcome: Each participant will have a template, a knowledge folder, and a shared assistant for their specific area
• Day 2 Outcome: Each participant will have a functional workflow with approval, a connected knowledge source, and a 30-60 day plan

Course Customization Options

• To arrange customized training for this course, please contact us.

This live, instructor-led training, held in Berlin (either online or on-site), is designed for developers and technical teams aiming to build and operate private agentic AI solutions on internal infrastructure using Ollama and open models.

By the end of this training, participants will be equipped to: install and configure Ollama, evaluate and run open models locally, construct simple agentic and retrieval-based workflows, and implement security and governance controls required for regulated environments.

This live, instructor-led training, available online or onsite at Berlin, is designed for professionals at beginner to intermediate levels who aim to automate a practical business process and construct their first AI agent using Make within a single day.

Upon completing this training, participants will have the capability to:

• Develop Make scenarios integrated with common business applications.
• Incorporate an AI model and establish a basic agent within a scenario.
• Operate scenarios with robust error handling and monitoring capabilities.

This live, instructor-led training in Berlin, available online or on-site, is tailored for intermediate business professionals aiming to create automated workflows and AI agents using n8n without coding.

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

• Construct n8n workflows that integrate with standard business applications.
• Incorporate AI models and agents that operate on internal company data.
• Execute workflows in daily operations, complete with error handling, approval workflows, and monitoring.

This live, instructor-led training in Berlin is tailored for intermediate-level professionals aiming to automate business operations and construct their first AI agent via Make.

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

• Develop no-code workflows in Make incorporating triggers and webhooks.
• Link AI agents to their data streams within a flow.
• Automate genuine end-to-end processes, including error management and monitoring.

A personal AI agent can handle email sorting, schedule appointments, draft briefings, and execute routines like a morning overview. This one-day course demonstrates how to configure such an agent using a tailored personal context, specific connectors, and defined protocols for approval and data protection. Participants will depart with a fully operational agent and two active routines.

This live, instructor-led training in Berlin is designed for professionals, assistants, project managers, and self-employed individuals looking to implement a personal AI agent for their workflow.

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

• Distinguish the capabilities of a personal AI agent from its limitations
• Construct a personal context that includes a profile, instructions, and relevant notes
• Manage email and calendar tasks with AI while maintaining full control
• Prepare for appointments and conversations using automated briefings
• Establish routines such as a morning overview and a weekly review
• Define approval workflows, data protection measures, and operational limits for their agent

Course Format

• Duration: 1 day (7 hours)
• Interactive sessions with a trainer, including discussions and hands-on exercises focused on the participants' specific use cases
• Day 1 Outcome: Each participant will have a configured personal agent featuring a profile, a connected mailbox and calendar, and two active routines.

Customization Options

• For inquiries regarding customized training for this course, please contact us to discuss arrangements.

This live, instructor-led training in Berlin targets managers, assistants, and knowledge workers.

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

• Manage email and calendar more efficiently using AI support.
• Conduct meeting preparation and research more rapidly.
• Set up a personal assistant customized to individual preferences.
• Ensure the protection of personal and company data.