Agentic AI Training in Prague

This live session on Prague delves into how agentic AI is redefining workflows, talent strategies, and job design. Perfect for mid-career professionals, the course covers autonomous decision-making, enterprise preparedness, and governance frameworks to drive responsible and compliant AI integration.

This instructor-led bootcamp in Prague provides a practical pathway to constructing autonomous AI agents in Python. Learners engage in five sequential projects that cover design patterns, API orchestration, and multi-agent workflows, bridging the gap between theory and real-world deployment.

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 live, instructor-led session in Prague provides an introduction to agentic AI, exploring prompt engineering, design patterns, and ethical usage. Participants will learn to develop basic agent workflows using Python, incorporate external tools, and apply safety measures to create autonomous systems that are effective, secure, and scalable.

This live, instructor-led training in Prague empowers intermediate professionals to design and scale agentic AI for business automation. Participants will learn to map workflows, integrate diverse tools, and construct practical use cases in customer service, supply chain, and marketing, ensuring tangible and measurable outcomes.

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

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

This live, instructor-led training in Prague equips BI professionals with the skills to modernize legacy systems using WrenAI. Participants will learn to assess current environments, strategize the migration to conversational analytics, and oversee change management processes to drive successful adoption and tangible business results.

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

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 instructor-led training in Prague enables finance professionals to utilize WrenAI for KPI modeling and the creation of regulatory-compliant dashboards. Learners will develop practical skills in integrating data sources, ensuring audit compliance, and constructing risk management reports to drive effective decision-making.

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 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 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) is designed for advanced-level professionals aiming to leverage Agentic AI for enterprise-scale automation and strategic AI adoption.

Upon completing this training, participants will be able to:

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

This instructor-led, live training in 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 instructor-led live training held in Prague (online or onsite) targets intermediate-level AI engineers, ML researchers, and developers who wish to construct and implement Agentic AI systems for practical applications.

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

• Grasp the fundamental principles of Agentic AI systems.
• Develop AI agents that can reason and act autonomously.
• Integrate Agentic AI solutions with APIs and third-party services.
• Optimize interactions among multiple agents for complex tasks.
• Tackle ethical, security, and scalability challenges associated with Agentic AI.

This instructor-led, live training in Prague (online or onsite) targets beginner-level professionals eager to grasp the fundamental principles of Agentic AI, its operational capabilities, and its transformative potential across various industries.

Upon completing this training, participants will be equipped to:

• Comprehend the foundational principles of Agentic AI.
• Distinguish between traditional AI models and autonomous AI agents.
• Investigate real-world applications of Agentic AI across diverse sectors.
• Evaluate the advantages and obstacles associated with deploying autonomous AI systems.
• Examine the ethical and security implications of Agentic AI.

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

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

AI agents are transitioning from experimental research demonstrations to robust production systems capable of autonomous operation across text, image, speech, and tool-driven workflows. This evolution demands heightened engineering rigor, adversarial robustness, and strict regulatory accountability. Led by instructors, this training 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 agent behaviors via modern frameworks. Through progressive Python-based hands-on labs, participants build a production-grade multi-agent system and stress-test it using adversarial techniques and the Adversarial Robustness Toolbox. The course concludes with guidance on aligning with NIST AI RMF, ISO/IEC 42001, EU AI Act, and GDPR standards, alongside secure deployment, monitoring, and incident response strategies, ensuring participants can deploy agents that are capable, defensible, and compliant.

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 live, instructor-led course in Prague is tailored for intermediate developers seeking to design, build, and test AI agents utilizing the Claude API and the Agent SDK.

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

• Utilize the Messages API with system prompts, structured outputs, and streaming features
• Define tools and establish a dependable tool-use loop
• Link agents to external systems using MCP servers
• Create and operate agents with the Claude Agent SDK, including permission controls and subagents
• Minimize costs and latency through prompt caching and effective context management
• Test, log, and monitor agent operations using a small evaluation set

Claude Cowork manages entire workflows, including research, document creation, and file management, moving beyond the traditional one-prompt-at-a-time approach. This course focuses on crafting effective assignments, monitoring plans, and evaluating outcomes. Participants will delegate three practical tasks and configure a recurring scheduled task.

This instructor-led, live training in Prague is designed for: Knowledge workers, assistants, and team or department leads looking to delegate complete tasks to Claude rather than engaging in step-by-step conversations.

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

• Distinguish between chat-based interactions and delegated work within Cowork
• Draft assignments that clearly define goals, materials, constraints, and acceptance criteria
• Generate documents, spreadsheets, and presentations directly from folder contents
• Delegate research processes from initial questions to final reports
• Leverage plugins, skills, and connectors within Cowork
• Establish approval checkpoints, backup protocols, and secure folder access

Course Structure

• Duration: 1 day (7 hours)
• Interactive sessions featuring trainer guidance, discussions, and hands-on exercises tailored to participants' specific use cases
• Day 1 Outcome: Each participant will have delegated three real tasks to Cowork, reviewed the outputs, and configured a scheduled task.

Customization Options

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

Empower your team to address knowledge questions and support document workflows through controlled AI agents. This two-day course explores Agent Builder on Day 1 and Copilot Studio with approval steps and testing protocols on Day 2. Participants will leave with a tested knowledge agent and a draft Studio agent ready for further development.

This instructor-led live training in Prague is tailored for key users, AI champions, and department leads who wish to build their own Copilot agents for knowledge queries and document processes.

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

• Assess when Copilot Chat meets the needs versus when a specialized agent is more appropriate.
• Construct a knowledge agent in Agent Builder, specifying the target audience, knowledge sources, and boundaries.
• Understand the structural components of a Copilot Studio agent and create an initial version.
• Break down document processes into manageable steps that include human approval checkpoints.
• Test agent performance using defined test cases and acceptance criteria.
• Classify roles, permissions, license requirements, and operational aspects.

Course Format

• Duration: Two days (7 hours each).
• Interactive training with an instructor, including discussions and hands-on exercises based on participants' own use cases.
• Day 1 Outcome: A tested knowledge agent and a tool map for individual work cases.
• Day 2 Outcome: A draft Studio agent with approval features, two tested process cases, and a roadmap for personal use cases.

Customization Options

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

An enterprise-focused AI assistant capable of answering inquiries regarding company policies, operational manuals, and business processes, while clearly citing its sources. This workshop guides you through the essential steps of document preparation, platform selection, no-code agent construction, and performance validation using a structured question catalog. Additionally, participants will develop a comprehensive maintenance strategy.

Delivered as an instructor-led live session in Prague, this program is specifically designed for teams, knowledge custodians, and power users seeking to deliver reliable answers derived from their proprietary documents, policies, and manuals.

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

• Grasp the mechanics of Retrieval-Augmented Generation (RAG) in simple terms and understand the inherent boundaries of AI-generated answers
• Optimize document preparation to ensure response accuracy
• Select the most suitable platform for deploying a knowledge agent
• Construct and deploy a no-code knowledge agent
• Validate response quality using a curated question catalog and source attribution
• Establish protocols for maintenance, role definitions, and content freshness in an operational environment

Course Format

• Duration: 1 day (7 hours)
• Interactive sessions led by a trainer, featuring discussions and practical exercises tailored to participants' specific use cases
• Day 1 Deliverable: Each participant will have a shared knowledge agent deployed on their own documents, a quantified accuracy rate, and a documented maintenance plan.

Customization Options

• For bespoke training aligned with specific organizational needs, please contact us to discuss arrangements.

Langdock unifies various AI models, assistants, corporate knowledge, and workflows into a single platform for the enterprise. This course addresses daily operational use, the creation and distribution of assistants, the integration of knowledge sources, and the setup of workflows featuring human approval. It also outlines the rules governing data, roles, and rollout strategies.

This instructor-led, live training in Prague is designed for departments and key users in companies that utilize or are implementing Langdock as a central AI platform.

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

• Operate Langdock confidently, encompassing chat, models, assistants, knowledge management, and workflows
• Select the most appropriate model for each specific task
• Create assistants using custom instructions and company knowledge, and share them within the team
• Link SharePoint, OneDrive, and other resources to build a comprehensive knowledge base
• Implement a simple workflow that includes human approval stages
• Establish organizational rules for data handling, role assignments, and approvals

Course Format

• Duration: 2 days (7 hours each), also available as 4 half days online
• Interactive training sessions with an instructor, including discussions and hands-on exercises based on participants' specific use cases
• Outcome, Day 1: Each participant will have a template, a knowledge folder, and a shared assistant for their specific area of responsibility
• Outcome, Day 2: Each participant will have a functional workflow with approval mechanisms, a connected knowledge source, and a plan for the next 30 to 60 days

Course Customization Options

• To request a customized training for this course, please contact us to arrange

Delivered live by an instructor in Prague, this training targets intermediate-level professionals looking to automate business tasks and create their first AI agent via Make.

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

• Develop no-code workflows in Make utilizing triggers and webhooks.
• Link AI agents to specific data points within a processing flow.
• Automate a practical business process from start to finish, incorporating error management and monitoring.

Visualize a personal AI agent that streamlines your day by sorting email, planning appointments, preparing briefings, and executing routines like a morning overview. This one-day course demonstrates how to configure such an agent by establishing a personal context, integrating connectors, and defining precise rules for approval and data protection. By the end of the session, participants will possess a functional agent along with two operational routines.

This live, instructor-led training in Prague is tailored for professionals, assistants, project managers, and self-employed individuals who wish to introduce a personal AI agent into their workflow.

Upon finishing this training, participants will be able to:

• Identify the specific tasks a personal AI agent can automate versus those it cannot
• Create a robust personal context including profile information, instructions, and notes
• Leverage AI to organize email and calendar activities without compromising control
• Prepare for appointments and discussions using automatically generated briefings
• Deploy routines such as morning overviews and weekly reviews
• Set clear parameters for approvals, data protection, and agent limitations

Course Format

• Duration: 1 day (7 hours)
• An interactive session with a trainer, incorporating discussions and practical exercises based on participants' own scenarios
• Day 1 Outcome: Each participant will have a set-up personal agent with a profile, a connected mailbox and calendar, and two running routines.

Customization Options

• To request a customized training experience for this course, please contact us to make arrangements.

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

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

• Streamline email and calendar management using AI capabilities
• Accelerate the process of meeting preparation and research
• Configure a personal assistant aligned with individual preferences
• Safeguard personal and corporate data integrity