Whether conducted online or onsite, these instructor-led live Agentic AI training courses utilize interactive hands-on exercises to illustrate how autonomous decision-making systems can be employed to automate tasks, facilitate data-driven decisions, and streamline business processes.
Agentic AI training is offered in both "online live" and "onsite live" formats. Online live sessions, also referred to as "remote live training," are delivered through an interactive remote desktop connection. Onsite live training takes place either directly at customer premises in Athens or within NobleProg's corporate training centers in Athens.
Take Metro Line 3 (M3) from Airport toward Dimotiko Theatro.
Get off at Evangelismos.
The address is on Vasilissis Sofias Avenue, very close to the station. Evangelismos station is directly on the avenue.
Allow roughly 40–50 minutes total, depending on waiting/walking time.
From Athens Central Railway Station (Larissa Station)
Take the metro to Syntagma and change to Line 3 toward Doukissis Plakentias/Airport.
Get off at Evangelismos.
Walk to No. 46.
By bus
There are several buses running along Vasilissis Sofias Avenue. Nearby stops include Rigilis Street and Syntagma, while the Evangelismos area is served by multiple bus routes.
The metro is generally the simplest option, especially if you're arriving with luggage.
This instructor-led training in Athens delves into the realms of generative and agentic AI, empowering you to construct and assess autonomous systems. Master prompt engineering, integrate essential tools, and implement responsible, goal-driven agents to enhance real-world productivity and achieve intelligent automation.
This live training in Athens delves into how agentic AI is reshaping organizational workflows, talent strategies, and job design. Perfect for intermediate professionals, the course covers autonomous decision-making, enterprise readiness, and governance frameworks to foster responsible and compliant AI adoption.
This instructor-led intensive in Athens provides a practical pathway to constructing autonomous AI agents in Python. Participants will complete five staged projects that span design patterns, API orchestration, and multi-agent workflows, transitioning from theoretical concepts to real-world deployment.
This hands-on course in Athens walks you through the deployment of agentic AI on resource-constrained devices. Gain the expertise to build, optimize, and oversee lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, thereby improving speed, privacy, and reliability.
This instructor-led, live training in Athens introduces the landscape of agentic AI, addressing prompt engineering, design patterns, and responsible usage. Participants will learn to construct basic agent workflows using Python, integrate external tools, and apply safety practices to ensure autonomous systems are effective, secure, and scalable.
This instructor-led, live training in Athens guides intermediate professionals through the process of designing and scaling agentic AI for business automation. Participants will learn to map workflows, integrate tools, and construct practical use cases across customer service, supply chain, and marketing domains, ensuring measurable business impact.
This live session in Athens supports advanced professionals in designing and deploying multi-agent systems with Python. The curriculum addresses agent coordination, reinforcement learning, and distributed computing, leveraging frameworks such as Mesa and Ray, and concludes with a practical capstone project.
This instructor-led training on Athens focuses on reinforcement learning and decision-making for agentic AI. Participants will implement DQN, PPO, and A3C using Python, model environments with OpenAI Gym, and apply these techniques to robotics and planning systems to enable real-world adaptive behavior.
This live training in Athens empowers advanced professionals to scale and operationalize agentic AI systems for production use. By integrating MLOps, observability, and cost governance, it enables the design of resilient, observable, and cost-optimized pipelines for large-scale deployments.
This live, instructor-led session in Athens guides BI experts in modernizing legacy systems through WrenAI. Participants will assess current environments, design migration pathways to conversational analytics, and spearhead change management initiatives to guarantee effective adoption and tangible business value.
This instructor-led training on Athens addresses 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 counter real-world threats in production environments.
This instructor-led, live training in Athens emphasizes the practical use of Python for autonomous AI agents. By covering modern SDKs like LangChain and AutoGen, it empowers engineers to confidently build, connect, and orchestrate complex agent workflows.
This instructor-led session in Athens enables finance professionals to leverage WrenAI for KPI modelling and the creation of regulatory-compliant dashboards. Participants develop practical competencies in integrating data sources, ensuring audit readiness, and generating risk management reports to support strategic decision-making.
This live, instructor-led session in Athens explores practical Python methods for creating autonomous agents. Topics include agent loops, tool integration, memory management, orchestration, and safety controls. Designed for ML engineers, the focus is on deploying robust, production-ready agents.
This instructor-led program on Athens empowers senior professionals with critical skills for WrenAI quality assurance. Learners will master the evaluation of NL-to-SQL precision, the application of prompt tuning, and the deployment of observability frameworks. It is ideal for securing enterprise-level dependability and compliance.
Investigate the potential of agentic AI in healthcare through this instructor-led training in Athens. Develop the skills to design, assess, and manage agent workflows for clinical applications. Through hands-on labs and scenario-based practice, participants will construct retrieval-augmented agents, implement safety guardrails, and master governance protocols.
This instructor-led, live training in Athens (online or onsite) targets intermediate-level AI developers and automation specialists eager to incorporate agentic capabilities into AI-driven applications.
Upon completion of this course, 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.
Facilitate multi-agent collaboration to solve complex problems.
Improve AI-human interactions via adaptive user experiences.
Deploy agentic AI models within real-world applications.
This live, instructor-led training in Athens empowers operations professionals to proficiently utilize WrenAI Spreadsheets and the Metrics Library. Participants will learn to create AI-driven reports, establish live data connections, and optimize workflows, thereby accelerating operational analytics and enhancing the efficiency of business reporting.
This instructor-led, live training in Athens (online or onsite) is designed for advanced professionals aiming to develop and optimize multi-agent systems using Agentic AI frameworks.
Upon completion of this training, participants will be able to:
Grasp the core principles of Agentic AI within multi-agent environments.
Create AI-driven agents capable of autonomous interaction.
Utilize reinforcement learning to enable adaptive AI behaviors.
Enhance both collaboration and competition among multiple agents.
Deploy Agentic AI solutions in robotics, gaming, and enterprise automation contexts.
This live, instructor-led training in Athens empowers intermediate engineers to effectively utilize the WrenAI API for practical purposes. Attendees will gain the ability to convert natural language into SQL, design and embed interactive charts, and seamlessly integrate the API into backend systems and internal tools.
This instructor-led, live training in Athens (online or onsite) is designed for advanced-level professionals seeking to leverage Agentic AI for enterprise-scale automation and strategic AI adoption.
Upon completion of this training, participants will be able to:
Grasp the role of Agentic AI within enterprise applications.
Integrate autonomous AI agents with existing 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 practical training in Athens walks data professionals through the process of deploying WrenAI Cloud, integrating varied data sources, and structuring data for analysis. Learners will discover how to refine information and construct interactive dashboards that provide meaningful, actionable business intelligence.
This instructor-led, live training in Athens (online or onsite) targets advanced professionals aiming to harness Agentic AI for decision-making in complex business and technical contexts.
Upon completing this training, participants will be capable of:
Grasping the core principles of autonomous decision-making in AI.
Designing and implementing AI agents that function with minimal human oversight.
Integrating Agentic AI into automation workflows and broader business systems.
Optimizing AI-driven decision processes to enhance efficiency and scalability.
Addressing compliance, security, and ethical implications inherent in AI autonomy.
In Athens, master the creation of robust semantic layers and the optimization of text-to-SQL capabilities using WrenAI OSS. This program for advanced data and ML professionals addresses prompt tuning, the implementation of safety guardrails, and the seamless integration of these tools into pipelines and analytics workflows to ensure consistent reliability.
This instructor-led live training in Athens (available online or onsite) targets intermediate-level AI engineers, ML researchers, and developers who intend to build and implement Agentic AI systems for real-world applications.
By the conclusion of this training, participants will be able to:
Understand the core principles of Agentic AI systems.
Implement AI agents capable of autonomous reasoning and action.
Integrate Agentic AI with APIs and third-party services.
Optimize multi-agent interactions for complex tasks.
Address ethical, security, and scalability challenges in Agentic AI.
This live training in Athens guides SaaS teams in embedding WrenAI's GenBI capabilities into customer-facing products through its Embedded API. You will master the configuration of white-label analytics, the design of secure multi-tenant deployments, and performance optimization to ensure compliance in modern, scalable SaaS environments.
This instructor-led, live training in Athens (online or onsite) is designed for beginner-level professionals seeking to comprehend the foundational principles of Agentic AI, its capabilities, and its potential impact on various industries.
Upon completion of this training, participants will be able to:
Comprehend the core principles of Agentic AI.
Distinguish between traditional AI and autonomous AI agents.
Investigate real-world applications of Agentic AI across different sectors.
Evaluate the advantages and challenges associated with deploying autonomous AI systems.
Examine the ethical and security implications of Agentic AI.
This instructor-led training on Athens empowers product teams to integrate WrenAI for conversational analytics. Learners will acquire the skills to design robust NL-to-SQL workflows, standardize metrics, and seamlessly embed self-service BI dashboards into their daily product management routines.
This 5-day course in Athens empowers finance professionals with skills in advanced analytics, AI-assisted Python, and agentic AI. Participants will learn to construct intelligent dashboards, streamline GL operations, and design autonomous workflows for financial analysis, reporting, and strategic decision support.
This one-day course offers software engineers, technical leads, and development teams a practical framework for effectively utilizing AI coding agents within real-world software projects. Instead of concentrating solely on prompting techniques, the curriculum examines the entire agent ecosystem, encompassing context engineering, reusable workflows, MCP (Model Context Protocol) integrations, feedback mechanisms, security protocols, and organizational adoption strategies.
AI agents are transitioning from experimental research demos to robust production systems capable of autonomous operation across text, image, speech, and tool-driven workflows. This shift demands higher standards for engineering rigor, resistance to adversarial attacks, and regulatory accountability. This instructor-led training guides advanced practitioners through the entire agent lifecycle, covering everything from designing single and multi-agent architectures to integrating multi-modal perception and orchestrating coordinated behaviors using modern frameworks. Through progressive Python-based hands-on labs, participants will construct a production-grade multi-agent system, which they then stress-test using adversarial techniques and the Adversarial Robustness Toolbox. The course concludes with guidance on aligning with NIST AI RMF, ISO/IEC 42001, the EU AI Act, and GDPR, alongside secure deployment, monitoring, and incident response strategies. Upon completion, participants will be equipped to deploy agents that are capable, defensible, and compliant.
This instructor-led training session in Athens, offered online or onsite, is designed for beginner to intermediate developers and cloud practitioners who intend to use Alibaba Cloud to develop AI agents that automate tasks, answer queries, and integrate with business systems.
By the conclusion of this training, participants will be able to understand the architecture of AI agents on Alibaba Cloud, construct a basic agent workflow, link an agent to enterprise knowledge and tools, and deploy and monitor the agent within a cloud environment.
This instructor-led, live training in Athens targets intermediate-level developers looking to design, build, and test AI agents using the Claude API and the Agent SDK.
Upon completing this training, participants will be equipped to:
Integrate the Messages API utilizing system prompts, structured output, and streaming
Design tools and establish a dependable tool-use loop
Link agents to external systems via MCP servers
Develop and execute agents with the Claude Agent SDK, covering permissions and subagents
Optimize cost and latency through prompt caching and effective context management
Test, log, and monitor agent performance using a concise evaluation set
Claude Cowork enables the delegation of end-to-end tasks, including research, document preparation, and file operations, moving beyond single-prompt responses. This course focuses on creating precise task descriptions, validating plans, and reviewing final results. Participants will complete three practical delegations and configure a scheduled task.
This live, instructor-led training in Athens is designed for professionals seeking to hand over entire workflows to Claude instead of managing them through iterative chat.
By the end of the session, you will be able to:
Understand the distinction between chat-based interaction and delegated work in Cowork
Define assignments with specific goals, materials, boundaries, and acceptance criteria
Create documents, spreadsheets, and presentations from a specified folder
Manage research from question formulation to final report generation
Utilize plugins, skills, and connectors within Cowork
Configure approval points, backups, and secure access controls
Course Format
Duration: 1 day (7 hours)
Interactive training with a trainer, including discussions and practical exercises on personal use cases
Day 1 Outcome: Participants will have delegated three real tasks, reviewed the results, and set up a scheduled task.
Customization Options
Contact us to arrange customized training for this course.
Enable teams to answer knowledge questions and support document processes with controlled precision. This two-day curriculum covers Agent Builder on day 1 and Copilot Studio, including approval steps and test cases, on day 2. Participants will conclude the course with a tested knowledge agent and a draft for a Studio agent.
This live, instructor-led training in Athens is intended for key users, AI champions, and department leads who wish to construct their own Copilot agents for knowledge queries and document processing.
Upon completing this training, participants will be able to:
Assess when Copilot Chat is sufficient and when an agent is the better solution
Create knowledge agents in Agent Builder, specifying audiences, knowledge sources, and boundaries
Understand the internal structure of Copilot Studio agents and build a foundational agent
Break down document workflows into reviewable steps with human approval gates
Test agents using specific test cases and acceptance criteria
Classify roles, permissions, licensing, and operational aspects
Course Format
Duration: Two days, seven hours per day
Interactive training involving trainer-led discussions and hands-on exercises focused on participants' individual use cases
Day 1 Outcome: Each participant will have a tested knowledge agent and a tool map tailored to their work cases.
Day 2 Outcome: Each participant will have a draft Studio agent with approval features, two tested process cases, and a roadmap for their own use cases.
Customization Options
Reach out to us to discuss customizing the training for this course.
Envision an assistant capable of answering questions about company policies, manuals, and processes while clearly identifying the source. This course walks you through document preparation, platform selection, building a code-free agent, and measuring its performance with a question catalog. Participants will also create a maintenance plan.
This live, instructor-led training in Athens is intended for teams, knowledge owners, and key users who wish to leverage their own documents, policies, and manuals to provide answers.
By the end of this training, participants will be able to:
Understand the mechanism of AI answering from documents (RAG explained simply) and recognize its limitations
Prepare documents to ensure accurate answers
Select the appropriate platform for a knowledge agent
Build and share a knowledge agent without code
Verify answers using a question catalog and source references
Define maintenance, roles, and content currency for operational use
Course Format
Duration: 1 day (7 hours)
Interactive training with a trainer, including discussions and hands-on exercises on participants' own use cases
Outcome, Day 1: Each participant will have a shared knowledge agent on their own documents, a measured hit rate, and a maintenance plan.
Course Customization Options
To request a customized training for this course, please contact us to make arrangements.
Langdock consolidates multiple AI models, intelligent assistants, corporate knowledge, and automated workflows into a single unified platform for the enterprise. This course focuses on practical daily applications, including chat interactions, creating and sharing assistants, integrating knowledge sources, and configuring workflows with human-in-the-loop approval. It also addresses essential policies regarding data handling, role management, and organizational rollout strategies.
This live, instructor-led training in Athens is designed for departments and key users in organizations that are either currently utilizing or planning to implement Langdock as their central AI platform.
Upon completion of this training, participants will be equipped to:
Confidently operate Langdock, covering chat interfaces, model selection, assistants, knowledge management, and workflow automation
Select the most appropriate model for specific tasks
Develop assistants with tailored instructions and company-specific knowledge, and share them across the team
Integrate SharePoint, OneDrive, and other sources as a centralized knowledge base
Configure simple workflows that include human approval steps
Establish internal rules for data governance, role assignment, and approval processes
Course Format
Duration: 2 days (7 hours per day), with an option to attend as 4 half-days online
Interactive sessions featuring instructor-led discussions and hands-on exercises based on participants’ own use cases
Day 1 Outcome: Each participant will have created a prompt template, a knowledge folder, and a shared assistant tailored to their specific domain
Day 2 Outcome: Each participant will have established a functional workflow with approval mechanisms, a connected knowledge source, and a 30-to-60-day implementation plan
Course Customization Options
For customized training tailored to this course, please contact us to discuss arrangements.
This instructor-led, live training session in Athens targets intermediate-level professionals aiming to automate business operations and create their first AI agent using Make.
By the conclusion of this training, participants will be capable of:
Designing no-code workflows in Make using triggers and webhooks.
Linking AI agents to internal data within a flow.
Automating a complete real-world process, including error management and monitoring.
Imagine delegating routine tasks like sorting emails, scheduling appointments, drafting briefings, or even generating a morning overview to a personal AI agent. This intensive one-day course walks you through setting up your own agent using a tailored personal context, integrations, and explicit rules for approvals and data security. By the end of the session, you will walk away with a fully functional agent and two automated routines ready for daily use.
This live, instructor-led training in Athens is designed for professionals, executive assistants, project managers, and freelancers who wish to deploy a personal AI assistant to streamline their individual workflows.
Upon completing this training, participants will be equipped to:
Distinguish between tasks suitable for an AI agent and those requiring human intervention.
Construct a robust personal context by defining your profile, specific instructions, and contextual notes.
Streamline email and calendar management with AI assistance while retaining full control over decisions.
Enhance meeting readiness by automatically generating comprehensive briefings for appointments and discussions.
Configure recurring routines, such as morning summaries and weekly reviews, to keep you on track.
Establish clear boundaries, approval workflows, and data protection measures for your specific agent setup.
Course Format
Duration: One day (7 hours)
An interactive learning experience featuring a dedicated trainer, open discussions, and hands-on exercises tailored to your real-world use cases.
Day 1 Outcome: Each participant will have a configured personal agent, complete with a defined profile, connected mailbox and calendar, and two active routines.
Customization Options
Interested in a tailored version of this course? Please reach out to us to discuss your specific requirements.
This live, instructor-led training in Athens is tailored for managers, assistants, and knowledge workers.
By the end of the session, participants will be able to:
Utilize AI assistance for organizing emails and calendars
Speed up meeting prep and research tasks
Set up a personalized assistant based on specific needs
Ensure the protection of personal and company data
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Testimonials (5)
First most valuable: Practical data analysis tasks using AI without copy-pasting - but through my own application of what I learned.
Second most valuable: definition of terms that everyone uses (skills, agents, MCP, API). Now that I understand them, I feel much more confident in trying AI
Third: your input on how AI works, what it can do, what it can't (I will remember your 80/20 rule forever).
Fourth: Having everything you taught us in written and accessible form.
Lieven Hofmann - Transport & Environment
Course - Hands-On Agentic AI Bootcamp: Build 5 Real Projects in Python
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Good mixvof knowledge and practice
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Agentic AI for Enterprise Applications
The mix of theory and practice and of high level and low level perspectives
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Autonomous Decision-Making with Agentic AI
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