AI Agents Training in Berlin

This instructor-led live training in Berlin (available online or onsite) is specifically designed for advanced-level AI engineers, robotics developers, and automation specialists seeking to leverage DeepSeek for the creation of intelligent AI agents and autonomous systems.

Upon completion, participants will be able to:

• Comprehend the architecture and functional capabilities of DeepSeek AI models.
• Integrate DeepSeek into AI agents to facilitate decision-making and automation workflows.
• Utilize reinforcement learning techniques for the training of autonomous systems.
• Deploy AI-driven autonomous agents within real-world operational environments.

This live, instructor-led training in Berlin (delivered online or onsite) targets intermediate-level AI developers, security experts, and compliance professionals who aim to design and deploy secure AI agents while navigating ethical concerns and ensuring robustness.

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

• Identify security risks and ethical challenges in AI agent development.
• Integrate security-first design principles into AI models.
• Employ adversarial robustness methods to safeguard AI agents from attacks.
• Guarantee adherence to ethical AI guidelines and regulatory frameworks.

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, delivered either online or onsite at Berlin, is tailored for intermediate to advanced AI developers, researchers, and multimedia engineers aiming to construct AI agents with the capacity to comprehend and produce multi-modal content.

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

• Build AI agents that handle and synthesize text, image, and speech data.
• Integrate multi-modal frameworks like GPT-4 Vision and Whisper ASR.
• Optimize multi-modal AI workflows for superior performance and precision.
• Implement multi-modal AI agents in practical, real-world scenarios.

Delivered as a live, instructor-led session in Berlin (either online or onsite), this training is tailored for developers and designers with beginner to intermediate expertise who aspire to comprehend and construct AI-driven personal assistants for diverse applications.

Upon completion, participants will be equipped to:

• Grasp the foundational principles underlying AI-driven personal assistants.
• Master the basics of connecting language models with intelligent assistant platforms.
• Develop and tailor personal assistants utilizing modern AI frameworks and tools.
• Launch personal assistants for practical, real-world applications across diverse industries.

This instructor-led live training in Berlin (online or on-site) is tailored for advanced AI engineers, enterprise software developers, and business leaders aiming to customize and release LLM-based AI agents for enterprise applications.

By the conclusion of this training, participants will be capable of:

• Understanding the architecture and functionality of open-source LLMs.
• Customizing and fine-tuning LLMs for specific enterprise scenarios.
• Deploying AI agents utilizing LangChain and Hugging Face.
• Integrating LLM-powered agents into corporate workflows.

This live, instructor-led course in Berlin (online or on-site) is tailored for advanced robotics engineers, AI researchers, and automation specialists looking to build AI-driven autonomous robotic systems for intricate tasks and seamless human-AI collaboration.

Upon completion, participants will be equipped to:

• Grasp the critical function of AI agents in robotic decision-making and automated workflows.
• Engineer AI-driven navigation and robust obstacle avoidance mechanisms.
• Architect collaborative robotic systems that enhance human-AI interaction.
• Integrate and deploy AI-enhanced perception and control architectures within robotic platforms.

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 live, instructor-led training in Berlin (delivered online or on-site) is tailored for intermediate-level financial professionals, risk analysts, and AI engineers aiming to create and deploy AI-driven solutions for financial automation and fraud detection.

Upon completion, participants will be equipped to:

• Comprehend the significance of AI in financial automation and fraud detection.
• Develop AI models specifically for identifying fraudulent transactions.
• Utilize machine learning for instantaneous risk assessment.
• Implement AI-powered financial monitoring systems.

This live, instructor-led training in Berlin (online or onsite) targets customer service professionals, chatbot developers, and automation teams with beginner to intermediate expertise who are looking to deploy AI-driven solutions for customer support and service automation.

By the conclusion of this training, participants will be capable of:

• Comprehending the basics of AI-powered customer support.
• Creating and integrating AI chatbots for effective customer query management.
• Applying NLP and machine learning to refine chatbot interactions.
• Rolling out AI agents in authentic customer service environments.

Tailored for intermediate to advanced healthcare professionals and AI developers aiming to implement AI-driven healthcare solutions, this instructor-led live training is offered in Berlin (both online and on-site).

By the conclusion of this program, participants will be capable of:

• Comprehending the impact of AI agents on healthcare and diagnostics.
• Creating AI models for advanced medical image analysis and predictive diagnostics.
• Integrating AI with electronic health records (EHR) and established clinical workflows.
• Ensuring full compliance with healthcare regulations and ethical AI frameworks.

This instructor-led, live training in Berlin (online or onsite) is aimed at beginner-level to intermediate-level AI developers and UI/UX designers who wish to learn how to build, optimize, and deploy AI-powered virtual assistants.

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

• Design effective conversational AI workflows and UI/UX interfaces.
• Implement AI-driven natural language processing (NLP) models.
• Integrate AI assistants with APIs and third-party platforms.
• Deploy and maintain AI assistants for real-world applications.

This hands-on training in Berlin is designed for intermediate to advanced professionals aiming to construct, deploy, and manage AI agents. Participants will learn to harness Mistral Medium 3, Le Chat Enterprise, and Devstral to create robust solutions for enterprise and developer use cases, including the integration of connectors, RAG patterns, and compliance frameworks.

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 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, offered online or on-site, is designed for senior professionals seeking to excel in the deployment and management of AI agents in production environments.

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

• Architect and execute scalable AI deployment pipelines.
• Leverage Docker and Kubernetes for the containerization and orchestration of AI agents.
• Oversee and refine the performance of AI agents in live environments.
• Establish CI/CD workflows dedicated to AI agent releases.
• Satisfy security and data governance compliance standards.

This instructor-led live training in Berlin, delivered either online or on-site, is tailored for advanced AI professionals aiming to master reinforcement learning techniques and apply them to train AI agents for solving complex problems.

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

• Grasp the foundational principles of reinforcement learning and Markov Decision Processes (MDPs).
• Develop and deploy RL algorithms, including Q-Learning, SARSA, and Deep Q-Networks (DQN).
• Leverage frameworks such as OpenAI Gym and specialized RL libraries for practical implementation.
• Train AI agents to navigate and solve real-world, multi-step decision-making challenges.
• Mitigate common issues such as exploration-exploitation trade-offs and convergence problems during RL training.

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—delivered either online or onsite—targets advanced AI professionals aiming to refine their abilities in designing, building, and deploying MAS for complex, real-world problem solving.

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

• Comprehend the architectural principles of multi-agent systems.
• Deploy strategies for agent communication, coordination, and decision-making.
• Apply game theory to simulate agent interactions and manage conflicts.
• Employ frameworks like JADE to develop scalable MAS solutions.
• Tackle issues surrounding scalability, trust, and emergent behavior.

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.

Aimed at intermediate-level business analysts, RPA developers, and AI professionals, this instructor-led live training in Berlin (online or onsite) enables participants to leverage AI agents for business process automation.

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

• Comprehend the function of AI agents in business process automation.
• Detect automation prospects in vital business areas.
• Create AI-powered solutions for customer support, finance, and supply chain tasks.
• Integrate AI agents with current RPA and business systems.
• Analyze and enhance AI automation strategies for optimal efficiency.

Delivered by an instructor in a live setting, this Berlin training focuses on creating grounded agents using Vertex AI Agent Builder and RAG. Participants will master pipeline implementation, secure enterprise data integration, and agent behavior evaluation. It is ideally suited for intermediate professionals developing intelligent solutions.

This live, instructor-led training takes place in Berlin (either online or on-site) and is tailored for intermediate game developers and AI specialists aiming to implement effective AI agents in gaming contexts.

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

• Comprehend the function of AI agents in modern gaming.
• Build decision-making systems leveraging decision trees and finite state machines.
• Apply pathfinding algorithms like A* for efficient in-game movement.
• Utilize reinforcement learning to foster adaptive AI responses.
• Enhance AI performance to suit real-time gaming conditions.

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.

Offered as a live, instructor-led session in Berlin—either virtually or on-site—this course is designed for mid-level professionals aiming to refine their skills in the creation and development of autonomous agents for real-world deployment.

By the conclusion of this program, participants will be capable of:

• Comprehending the foundational architecture of autonomous agents.
• Investigating actual use cases for autonomous AI agents across industries.
• Architecting, training, and deploying agents through reinforcement learning.
• Integrating these agents into current systems to enhance automation and decision-making capabilities.
• Managing the ethical implications and operational challenges of autonomous agent deployment.

Gain proficiency in Devstral through this live training conducted in Berlin. The program delves into system architecture, the design of agentic workflows, and tool integration. Tailored for advanced engineers, the course utilizes hands-on labs to construct coding agents that elevate both productivity and security within contemporary development environments.

This instructor-led, live training in Berlin (online or onsite) is designed for entry-level professionals looking to comprehend the operation of AI agents and build their own interactive chatbot systems.

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

• Understand the fundamentals of AI agents and their uses.
• Examine the principles of natural language processing (NLP).
• Design a conversational flow for a chatbot.
• Build a functional chatbot using Python and related tools.
• Deploy the chatbot to interact with real users.

This instructor-led live training, available in Berlin (online or onsite), is tailored for beginner-level professionals looking to comprehend and build simple AI agents for real-world usage.

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

• Comprehend the fundamental principles of AI agents.
• Recognize different types of AI agents and their specific applications.
• Design and deploy basic AI agents for practical purposes.
• Explore the various tools and frameworks available for AI agent creation.

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 (online or on-site) targets observability and SRE engineers aiming to incorporate LLMs and AI into their monitoring, alerting, and incident analysis operations.

This advanced practical seminar, tailored for software engineers, architects, technical leads, engineering managers, and delivery teams, investigates how Artificial Intelligence can accelerate the full software delivery lifecycle, from requirements analysis to production-ready code.

This instructor-led, live training session in Berlin (available online or on-site) targets developers and technical professionals at all proficiency levels who intend to use Microsoft Azure to build, validate, and deploy AI agents for business purposes.

By the conclusion of the training, participants will be able to: grasp AI agent architecture on Azure, develop and configure functional agents, link agents to business knowledge repositories, and assess and prepare agents for deployment.

This live, instructor-led training in Berlin (available online or onsite) is tailored for software developers and DevOps teams aiming to use OpenAI Codex CLI to automate coding tasks, review code, and execute multi-step workflows from the terminal.

By the end of this session, participants will be able to install and configure Codex CLI, execute tasks through natural language prompts, manage approval modes, and integrate the tool with Git and CI pipelines.

This instructor-led, live training in Berlin (delivered online or onsite) is tailored for developers seeking to utilize GitHub Copilot Agent Mode for autonomous feature development, automated testing, and the management of complex coding tasks.

By the end of the session, participants will be able to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and implement robust enterprise governance controls.

This instructor-led, live training in Berlin (online or onsite) targets developers and leads aiming to utilize Cursor for rapid feature development, cross-file refactoring, and the management of team-wide AI workflows.

By the end of the session, participants will be able to navigate using Composer and agent mode, apply context-aware chat to target specific code, deploy team workspaces, and integrate Cursor with version control.

This instructor-led, live training in Berlin (online or onsite) is designed for software developers and AI engineers who intend to utilize DeepSeek Harness for building, operating, and enhancing AI coding agents.

This instructor-led, live training in Berlin (online or onsite) is aimed at intermediate-level solution architects, AI engineers, developers, and technical product teams who wish to use Tencent ADP to build enterprise AI agents with RAG, workflow automation, and operational guardrails.

By the end of this training, participants will be able to: design ADP-based agents, create knowledge pipelines, orchestrate workflows and multi-agent patterns, and apply production guardrails.

This live, instructor-led training in Berlin (available online or onsite) is designed for developers and technical practitioners across all proficiency levels. It focuses on utilizing Google Cloud to build AI agents that can automate tasks, leverage tools, and interact with business data.

By the end of the course, participants will be able to explain core AI agent concepts, construct agents using Vertex AI, integrate external tools and data sources, and deploy these agents to meet specific business objectives.

This instructor-led, live training in Berlin (online or onsite) is tailored for developers and DevOps professionals who intend to utilize Hermes Agent to automate development tasks, manage infrastructure, and build persistent AI workflows.

By the end of this training, participants will be capable of installing and configuring Hermes Agent, interacting with it across multiple platforms, utilizing 40+ built-in tools, and deploying it on various backends.

This instructor-led, live training in Berlin (online or onsite) is designed for business users, operations teams, and technical professionals who aim to use Hermes Agent to automate work, create reusable AI-driven processes, and enhance team productivity.

Upon completion, participants will be able to: explain the fundamentals of Hermes Agent, configure and utilize core features, build practical workflows, and apply best operational practices.

This instructor-led, live training in Berlin (offered online or on-site) is designed for developers looking to utilize Hermes Agent to build and operate secure local AI workflows for code assistance.

By the conclusion of the training, participants will be capable of: explaining core Hermes Agent concepts, configuring secure local agent environments, constructing practical coding workflows, and enforcing safety and governance controls.

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 session in Berlin (online or onsite) is tailored for backend developers aiming to construct MCP-compatible tool servers and integrate them with various agent clients.

By the end of the training, participants will be equipped to implement MCP servers, connect them to platforms like Claude Code and OpenClaude, manage transport switching, and manage an internal tool registry.

This instructor-led, live training held in Berlin (available online or onsite) is designed for AI professionals at beginner, intermediate, or advanced levels seeking to utilize MCP to link AI assistants with external tools, data repositories, and enterprise services.

Upon completion, participants will be able to explain core MCP concepts, identify key architectural components, establish basic integrations, and apply essential security best practices.

This instructor-led live training in Berlin (available online or onsite) targets developers and technical teams from beginner to intermediate levels. It focuses on leveraging OpenAI APIs to build AI agents that can reason, utilize tools, and handle multi-step tasks.

By the conclusion of this training, participants will be capable of: designing agent workflows, integrating tools and external data, managing context and responses, and testing agents for business applications.

This live, instructor-led training in Berlin (online or on-site) targets intermediate to advanced developers and technical professionals who intend to use OpenClaw to build and operate practical AI agents for automating work via chat and tool integrations.

By the end of this training, participants will be able to install and configure OpenClaw, connect an LLM provider, leverage and adapt skills for automation, and apply fundamental security and operational guardrails.

This live, instructor-led training in Berlin (online or onsite) is designed for senior developers aiming to utilize Pi to create lightweight, customizable terminal agent workflows.

By the conclusion of this session, participants will have the capability to install Pi, extend it with TypeScript skills, align workflows with team standards, and distribute extensions via npm.

This live, instructor-led training in Berlin (available online or on-site) is tailored for developers who want to use the Pi Coding Agent to generate code, review changes, and optimize terminal-based development workflows.

By the conclusion of the training, participants will be able to explain Pi Coding Agent concepts, effectively set up and utilize the tool, apply it to practical coding tasks, and adopt secure team workflows.