AI Agents Training in Prague

This instructor-led, live training in Prague (online or onsite) is aimed at advanced-level AI engineers, robotics developers, and automation specialists who wish to leverage DeepSeek for building intelligent AI agents and autonomous systems.

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

• Understand the architecture and capabilities of DeepSeek AI models.
• Integrate DeepSeek into AI agents for decision-making and automation.
• Apply reinforcement learning techniques for training autonomous systems.
• Deploy AI-driven autonomous agents in real-world environments.

This live, instructor-led training on Prague, offered either online or onsite, targets intermediate-level AI developers, security specialists, and compliance professionals aiming to design and deploy secure AI agents while addressing ethical issues and ensuring robustness.

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

• Grasp the security risks and ethical challenges inherent in AI agent development.
• Implement security-first design principles for AI models.
• Apply adversarial robustness techniques to defend AI agents against attacks.
• Ensure adherence to ethical AI guidelines and regulatory standards.

This practical course in Prague guides you through the deployment of agentic AI on resource-constrained hardware. Participants learn to develop, refine, and manage lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, thereby boosting speed, privacy, and reliability.

This instructor-led, live training in Prague (online or onsite) is aimed at intermediate-level to advanced-level AI developers, researchers, and multimedia engineers who wish to build AI agents capable of understanding and generating multi-modal content.

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

• Develop AI agents that process and integrate text, image, and speech data.
• Implement multi-modal models such as GPT-4 Vision and Whisper ASR.
• Optimize multi-modal AI pipelines for efficiency and accuracy.
• Deploy multi-modal AI agents in real-world applications.

This live, instructor-led training in Prague (offered online or on-site) is designed for beginner to intermediate developers and designers looking to understand and build AI-powered personal assistants for a variety of use cases.

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

• Comprehend the core principles of AI-powered personal assistants.
• Learn the essentials of integrating language models with smart assistants.
• Construct and personalize a personal assistant using AI frameworks and tools.
• Deploy personal assistants for practical applications across different industries.

This instructor-led, live training in Prague (online or onsite) is designed for advanced AI engineers, enterprise software developers, and business leaders who want to customize and deploy LLM-based AI agents for enterprise applications.

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

• Understand the architecture and capabilities of open-source LLMs.
• Customize and fine-tune LLMs for enterprise use cases.
• Deploy AI agents using LangChain and Hugging Face.
• Integrate LLM-powered agents into business workflows.

This instructor-led, live training in Prague (online or onsite) is aimed at advanced-level robotics engineers, AI researchers, and automation specialists who wish to develop AI-driven autonomous robotic systems for complex tasks and human-AI collaboration.

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

• Understand the role of AI agents in robotic decision-making and automation.
• Implement AI-driven navigation and obstacle avoidance.
• Develop human-AI collaborative robotic systems.
• Deploy AI-powered perception and control systems in robots.

This live training on Prague empowers advanced professionals to design and implement multi-agent systems using Python. It provides a comprehensive look at agent coordination, reinforcement learning, and distributed computing, utilizing frameworks such as Mesa and Ray, and concludes with a practical, hands-on capstone project.

This live, instructor-led training in Prague (available online or onsite) targets intermediate-level financial professionals, risk analysts, and AI engineers who want to build and deploy AI-driven solutions for financial automation and fraud detection.

Upon completion of the program, participants will be equipped to:

• Comprehend the impact of AI on financial automation and fraud detection.
• Develop AI models specifically designed to identify fraudulent transactions.
• Utilize machine learning for real-time risk evaluation.
• Implement AI-powered systems for financial monitoring.

This instructor-led, live course in Prague (offered online or onsite) caters to customer service experts, chatbot developers, and automation teams from beginner to intermediate levels who aim to deploy AI-driven strategies for customer support and service automation.

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

• Comprehend the essentials of AI-enabled customer support.
• Develop and embed AI chatbots for the resolution of customer queries.
• Apply NLP and machine learning to optimize chatbot dialogues.
• Launch AI agents in real-world customer service scenarios.

This instructor-led, live training in Prague (online or onsite) is designed for intermediate to advanced healthcare professionals and AI developers who aim to implement AI-driven healthcare solutions.

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

• Comprehend the role of AI agents in healthcare and diagnostic processes.
• Create AI models tailored for medical image analysis and predictive diagnostics.
• Integrate AI systems with electronic health records (EHR) and clinical workflows.
• Ensure adherence to healthcare regulations and ethical AI standards.

This live, instructor-led training in Prague (available online or onsite) targets AI developers and UI/UX designers at beginner to intermediate levels who are eager to learn how to construct, optimize, and release AI-powered virtual assistants.

By the end of this session, participants will be capable of:

• Architecting effective conversational AI workflows and refined UI/UX interfaces.
• Implementing AI-driven natural language processing (NLP) models.
• Connecting AI assistants with various APIs and third-party platforms.
• Deploying and sustaining AI assistants for practical, real-world applications.

This practical course in Prague is designed for professionals at intermediate to advanced levels who are focused on the construction, deployment, and administration of AI agents. Participants will learn to harness Mistral Medium 3, Le Chat Enterprise, and Devstral to support robust enterprise and developer needs, including the integration of connectors, RAG patterns, and compliance standards.

This instructor-led, live training in Prague concentrates on practical Python applications for autonomous AI agents. It explores modern SDKs like LangChain and AutoGen, empowering engineers to confidently build, connect, and orchestrate complex agent workflows.

This live, instructor-led session in Prague focuses on practical Python applications for developing autonomous agents. Key topics include agent loops, tool integration, memory governance, orchestration, and safety measures. Designed for ML engineers, the course emphasizes the deployment of resilient, production-ready agent systems.

This live, instructor-led training in Prague—available online or onsite—is tailored for advanced professionals aiming to master the techniques for deploying and managing AI agents in production environments.

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

• Design and implement scalable AI deployment pipelines.
• Utilize tools like Docker and Kubernetes for containerizing and orchestrating AI agents.
• Monitor and optimize AI agent performance in production settings.
• Implement CI/CD workflows for AI agent releases.
• Ensure adherence to security and data governance requirements.

This instructor-led live training in Prague, delivered online or onsite, 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, participants will be able to:

• Comprehend the core principles of reinforcement learning and Markov Decision Processes (MDPs).
• Design and implement RL algorithms such as Q-Learning, SARSA, and Deep Q-Networks (DQN).
• Utilize frameworks like OpenAI Gym and RL libraries for practical applications.
• Train AI agents to resolve real-world, multi-step decision-making challenges.
• Address specific issues like exploration-exploitation trade-offs and convergence during RL training.

This instructor-led, live training in Prague (online or on-site) targets intermediate AI developers and automation specialists looking to integrate agentic capabilities into AI-powered applications.

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

• Grasp the core principles of agentic AI and autonomous decision-making.
• Build goal-oriented AI agents utilizing self-optimization methods.
• Incorporate multi-agent collaboration frameworks for complex problem-solving.
• Improve AI-human interactions through personalized user experiences.
• Deploy agentic AI models within practical, real-world scenarios.

This instructor-led live training in Prague (online or onsite) is designed for senior-level AI professionals seeking to master the skills required to design, build, and deploy MAS solutions that address complex, real-world challenges.

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

• Grasp the core principles underlying multi-agent system architectures.
• Implement strategies for communication, coordination, and decision-making within MAS.
• Utilize game theory to model agent interactions and resolve conflicts.
• Employ frameworks such as JADE to construct scalable MAS solutions.
• Tackle challenges inherent in MAS, including scalability, trust, and emergent behavior.

This instructor-led, live training in Prague (online or onsite) is designed for advanced-level professionals who aim to develop and optimize multi-agent systems using Agentic AI frameworks.

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

• Grasp the fundamental principles of Agentic AI within multi-agent environments.
• Create AI-driven agents capable of autonomous interaction.
• Implement reinforcement learning techniques for adaptive AI behavior.
• Optimize both collaboration and competition among multiple agents.
• Apply Agentic AI solutions in robotics, gaming, and enterprise automation contexts.

This instructor-led live training in Prague (online or onsite) targets intermediate-level business analysts, RPA developers, and AI professionals who want to utilize AI agents for business process automation.

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

• Understand the role of AI agents in business process automation.
• Identify automation opportunities in key business domains.
• Develop AI-driven solutions for customer support, finance, and supply chain workflows.
• Integrate AI agents with existing RPA and business systems.
• Evaluate and optimize AI automation strategies for efficiency.

This live, instructor-led session in Prague focuses on designing grounded agents using Vertex AI Agent Builder and RAG. Participants will learn to build pipelines, securely integrate enterprise data, and assess agent behavior. It is well-suited for intermediate practitioners developing intelligent solutions.

This instructor-led, live training in Prague (online or onsite) is aimed at intermediate-level game developers and AI enthusiasts who wish to integrate AI agents into gaming applications effectively.

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

• Understand the role of AI agents in modern gaming.
• Develop decision-making systems using decision trees and finite state machines.
• Implement pathfinding algorithms such as A* for in-game navigation.
• Apply reinforcement learning techniques to create adaptive AI behaviors.
• Optimize AI performance for real-time gaming environments.

This instructor-led, live training in Prague (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for decision-making in complex business and technical scenarios.

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

• Understand the principles of autonomous decision-making in AI.
• Design and implement AI agents that operate with minimal human intervention.
• Integrate Agentic AI into automation workflows and business systems.
• Optimize AI-driven decision processes for efficiency and scalability.
• Ensure compliance, security, and ethical considerations in AI autonomy.

This guided, live training in Prague (online or in-person) targets intermediate-level professionals seeking to deepen their expertise in creating and developing autonomous agents for practical use cases.

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

• Grasp the foundational principles of autonomous agents.
• Examine real-world applications of autonomous AI agents.
• Design, train, and deploy agents utilizing reinforcement learning.
• Integrate agents into current systems to facilitate automation and decision-making.
• Navigate ethical considerations and challenges associated with deploying autonomous agents.

Gain mastery over Devstral in this live training session held in Prague. The curriculum encompasses architectural concepts, agentic workflow design, and tool integration. Designed for advanced engineers, the course utilizes hands-on labs to construct coding agents that improve both productivity and security within contemporary development environments.

This instructor-led, live training in Prague (available online or on-site) is designed for beginner-level professionals looking to comprehend the workings of AI agents and create their own interactive chatbot systems.

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

• Comprehending the fundamentals of AI agents and their real-world applications.
• Exploring the foundational principles of natural language processing (NLP).
• Structuring conversational flows for a chatbot.
• Developing a working chatbot using Python and complementary tools.
• Deploying the chatbot to facilitate interaction with live users.

This instructor-led, live training in Prague (online or onsite) is designed for novice professionals who aim to understand and build simple AI agents for real-world implementation.

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

• Understanding the foundational concepts of AI agents.
• Identifying various AI agent types and their specific applications.
• Designing and implementing basic AI agents for practical objectives.
• Exploring the tools and frameworks utilized in AI agent development.

This instructor-led live training in Prague (online or onsite) is designed for beginner to intermediate developers and cloud practitioners who wish to use Alibaba Cloud to build AI agents that can automate tasks, answer questions, and integrate with business systems.

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

This instructor-led, live training in Prague (online or onsite) is aimed at observability and SRE engineers who want to integrate LLMs and AI into their monitoring, alerting, and incident analysis workflows.

This advanced, hands-on seminar is designed for software engineers, architects, technical leads, engineering managers, and delivery teams who wish to understand how Artificial Intelligence can expedite the entire software delivery lifecycle, from requirements analysis to production-ready code.

This instructor-led, live training in Prague (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level developers and technical professionals who wish to use Microsoft Azure to build, test, and deploy AI agents for business applications.

By the end of this training, participants will be able to: understand AI agent architecture on Azure, create and configure a working agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.

This instructor-led, live training in Prague (online or on-site) 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 course, participants will be equipped to install and configure Codex CLI, perform tasks via natural language prompts, manage approval modes, and integrate with Git and CI pipelines.

This live, instructor-led training in Prague (online or on-site) is designed for developers who wish to use GitHub Copilot Agent Mode to autonomously build features, run tests, and handle larger coding tasks.

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

This instructor-led, live training in Prague (online or onsite) is designed for developers and leads who wish to use Cursor to build features faster, refactor across files, and manage team-wide AI workflows.

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

This live, instructor-led training, held in Prague (either online or on-site), is tailored for software developers and AI engineers seeking to utilize DeepSeek Harness for the development, operation, and extension of AI coding agents.

This instructor-led, live training in Prague (available online or onsite) is designed for intermediate-level solution architects, AI engineers, developers, and technical product teams seeking to leverage Tencent ADP to develop enterprise AI agents featuring RAG, workflow automation, and operational guardrails.

Upon completion, participants will be equipped to design ADP-based agents, construct knowledge pipelines, orchestrate workflows and multi-agent patterns, and implement production-grade guardrails.

This live, instructor-led training in Prague (delivered online or on-site) caters to developers and technical practitioners from beginner to advanced levels who intend to leverage Google Cloud to build AI agents capable of task automation, tool integration, and interaction with business data.

By the conclusion of this program, learners will be able to: articulate core AI agent concepts, construct agents via Vertex AI, link agents to external tools and data repositories, and deploy these solutions for specific business needs.

This instructor-led, live training in Prague (online or onsite) is aimed at developers and DevOps professionals who wish to use Hermes Agent to automate development tasks, manage infrastructure, and build persistent AI workflows.

By the end of this training, participants will be able to install and configure Hermes Agent, interact with it across multiple platforms, use 40+ built-in tools, and deploy on various backends.

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

By the end of this training, participants will be able to: explain Hermes Agent basics, set up and use core features, build practical workflows, and apply good operational practices.

This instructor-led, live training in Prague (online or onsite) is designed for developers looking to utilize Hermes Agent to design and execute secure local AI workflows for code assistance.

By the end of this training, participants will be able to explain Hermes Agent concepts, set up secure local agent environments, construct practical coding workflows, and apply necessary safety and governance controls.

This instructor-led, live training in Prague (online or onsite) is designed for developers and technical teams who wish to use Ollama and open models to build and run private agentic AI solutions on internal infrastructure.

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

This instructor-led, live training in Prague (online or onsite) is designed for backend developers looking to build MCP-compatible tool servers and integrate them with agent clients.

By the end of this training, participants will be capable of implementing MCP servers, connecting them to Claude Code and OpenClaude, switching transports, and maintaining an internal tool registry.

This instructor-led, live training in Prague (offered online or onsite) is designed for beginner-level, intermediate-level, and advanced-level AI professionals seeking to use MCP to connect AI assistants with external tools, data, and enterprise services.

By the end of this training, participants will be able to: explain MCP concepts, identify key architectural components, set up a basic integration, and apply security best practices.

This instructor-led, live training in Prague (online or onsite) targets beginner to intermediate developers and technical teams who want to utilize OpenAI APIs to build AI agents that can reason, use tools, and perform multi-step tasks.

By the end of this training, participants will be able to design agent workflows, integrate tools and external data sources, manage context and responses, and test agents for business applications.

This instructor-led live training in Prague (online or onsite) targets intermediate- to advanced-level developers and technical professionals who wish to use OpenClaw to build and run practical AI agents that automate work through chat and tool integrations.

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

This instructor-led, live training in Prague (online or onsite) is aimed at senior developers who wish to use Pi to build lightweight, customizable terminal agent workflows.

By the end of this training, participants will be able to install Pi, extend it with TypeScript skills, adapt workflows to team standards, and share extensions via npm.

This instructor-led live training in Prague (online or onsite) is designed for developers who wish to use Pi Coding Agent to generate code, review changes, and streamline terminal-based development workflows.

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