Agentic AI Training in Bologna

This live training in Bologna examines the transformative impact of agentic AI on organizational workflows, talent strategies, and job design. Tailored for intermediate professionals, the curriculum addresses autonomous decision-making, enterprise preparedness, and governance frameworks to facilitate responsible and compliant AI adoption.

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

This practical course in Bologna walks you through deploying agentic AI on hardware with limited resources. Master the construction, optimization, and management of lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, thereby boosting speed, privacy, and system reliability.

This live, instructor-led training in Bologna explores agentic AI, detailing prompt engineering, design patterns, and responsible utilization. Participants will learn to construct basic agent workflows using Python, integrate external tools, and apply safety protocols to ensure autonomous systems are effective, secure, and scalable.

This instructor-led live training in Bologna provides intermediate professionals with the skills to design and scale agentic AI solutions for business automation. Learners will master workflow mapping, tool integration, and the construction of practical use cases in customer service, supply chain, and marketing to ensure tangible business impact.

This live session in Bologna empowers advanced professionals to design and deploy multi-agent systems using Python. The curriculum covers agent coordination, reinforcement learning, and distributed computing using frameworks such as Mesa and Ray, culminating in a practical capstone project.

This instructor-led training in Bologna 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 methodologies into robotics and planning systems to enable real-world adaptive behavior.

This live training in Bologna empowers advanced professionals to scale and operationalize agentic AI systems for production use. It addresses MLOps, observability, and cost management, enabling the creation of resilient, observable, and cost-optimized pipelines for extensive deployments.

This live, instructor-led training in Bologna empowers BI professionals to modernize legacy systems using WrenAI. You will learn to evaluate current environments, design migration paths toward conversational analytics, and drive change management initiatives to ensure successful adoption and measurable business impact.

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

This live, instructor-led training on Bologna emphasizes practical Python applications for autonomous AI agents. By covering modern SDKs such as LangChain and AutoGen, it empowers engineers to build, integrate, and orchestrate sophisticated agent workflows with confidence.

This instructor-led training on Bologna enables finance professionals to utilize WrenAI for KPI modeling and the creation of regulatory-compliant dashboards. Learners will acquire practical skills in data source integration, audit compliance assurance, and the construction of risk management reports to drive effective decision-making.

This instructor-led live training in Bologna provides practical Python methodologies for creating autonomous agents, covering topics such as agent loops, tool integration, memory handling, orchestration, and safety protocols. Specifically tailored for ML engineers, it emphasizes the deployment of robust, production-ready agents.

This instructor-led, live training in Bologna (online or onsite) targets intermediate-level AI developers and automation specialists interested in integrating 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 equipped with self-optimization techniques.
• Integrate multi-agent collaboration for tackling complex problems.
• Improve AI-human interaction through adaptive user experiences.
• Deploy agentic AI models in real-world applications.

This instructor-led, live training in Bologna (online or on-site) is designed for advanced professionals aiming to develop and optimize multi-agent systems using Agentic AI frameworks.

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

• Comprehend the principles of Agentic AI in multi-agent environments.
• Build AI-driven agents that interact autonomously.
• Implement reinforcement learning for adaptive AI behavior.
• Optimize multi-agent collaboration and competition.
• Apply Agentic AI in robotics, gaming, and enterprise automation.

This instructor-led, live training in Bologna (online or onsite) targets advanced-level professionals seeking to leverage Agentic AI for enterprise-scale automation and strategic AI adoption.

Upon completing this training, participants will be able to:

• Comprehend the role of Agentic AI within enterprise applications.
• Integrate autonomous AI agents into enterprise systems.
• Optimize AI-driven workflows to enhance 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 Bologna (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 in Bologna (online or onsite) is designed for intermediate-level AI engineers, ML researchers, and developers who want to build and deploy Agentic AI systems in real-world scenarios.

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

• Grasp the fundamental principles of Agentic AI systems.
• Deploy AI agents that can autonomously reason and act.
• Integrate Agentic AI with APIs and third-party services.
• Enhance multi-agent interactions for complex tasks.
• Tackle ethical, security, and scalability challenges in Agentic AI.

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

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

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

This 5-day course in Bologna empowers finance professionals with skills in advanced analytics, AI-assisted Python, and agentic AI. Participants will learn to construct intelligent dashboards, streamline General Ledger operations, and design autonomous workflows for financial analysis, reporting, and strategic decision support.

This intensive one-day course equips software engineers, technical leads, and development teams with a practical framework for effectively leveraging AI coding agents in real-world software projects. Moving beyond simple prompting techniques, the curriculum delves into the entire agent ecosystem, covering context engineering, reusable workflows, MCP (Model Context Protocol) integrations, feedback mechanisms, security considerations, and strategies for organizational adoption.

AI agents are transitioning from experimental prototypes to production-ready systems capable of autonomous operations across text, image, speech, and tool-driven workflows. This evolution demands higher standards for engineering precision, resilience against adversarial attacks, and regulatory compliance. Designed for advanced practitioners, this instructor-led program guides participants through the entire agent lifecycle—from designing single and multi-agent architectures to integrating multi-modal perception and coordinating complex behaviors using modern frameworks. Through progressive Python-based labs, attendees will construct a production-grade multi-agent system and rigorously test its robustness using adversarial techniques and the Adversarial Robustness Toolbox. The curriculum concludes with alignment to NIST AI RMF, ISO/IEC 42001, the EU AI Act, and GDPR, alongside best practices for secure deployment, continuous monitoring, and incident response, ensuring participants can deploy agents that are capable, defensible, and compliant.

This instructor-led, live training in Bologna (online or onsite) is designed for beginner to intermediate developers and cloud practitioners who intend 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 understand AI agent architecture on Alibaba Cloud, construct a simple agent workflow, connect an agent to enterprise knowledge sources and tools, and deploy and monitor the agent within a cloud environment.

This live, instructor-led training in Bologna is designed for intermediate developers seeking to design, build, and test AI agents using the Claude API and the Agent SDK.

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

• Interact with the Messages API using system prompts, structured outputs, and streaming
• Define tools and create a dependable tool-use loop
• Link agents to external systems via MCP servers
• Develop and deploy agents with the Claude Agent SDK, handling permissions and subagents
• Minimize costs and latency by leveraging prompt caching and optimal context handling
• Test, log, and monitor agent behavior using a compact evaluation set

Claude Cowork extends its utility beyond answering individual prompts to managing complete workflows, such as research, document creation, and file operations. This course instructs participants on how to draft effective task briefs, monitor execution plans, and validate final deliverables. Learners will delegate three practical assignments and configure an automated recurring task.

This instructor-led live session in Bologna, available online or on-site, is designed for knowledge workers, assistants, and team leads looking to transition from step-by-step chat-based interactions to fully delegated task management.

Upon completion, participants will be equipped to:

• Distinguish between conversational chat and delegated execution within Cowork
• Draft precise assignments defining objectives, source materials, constraints, and success criteria
• Generate documents, spreadsheets, and presentations directly from a specified folder
• Manage research processes from initial inquiry to polished final report
• Leverage plugins, specific skills, and integrations within the Cowork environment
• Establish governance controls, including approval checkpoints, backup strategies, and secure folder permissions

Course Structure

• Duration: One day (7 hours)
• Interactive workshops featuring expert guidance, collaborative discussions, and practical exercises tailored to participants' specific use cases
• Day 1 Deliverable: Each learner will have delegated three real-world tasks to Cowork, audited the results, and implemented a scheduled recurring task.

Customization Options

• Contact us to discuss and arrange bespoke training tailored to this curriculum.

Enable teams to resolve knowledge inquiries and support document workflows in a controlled manner. This two-day workshop introduces Agent Builder on Day 1 and moves on to Copilot Studio on Day 2, covering approval steps and test cases. By the end, participants will have a tested knowledge agent and a draft Studio agent.

This live, instructor-led training in Bologna is tailored for key users, AI champions, and department leads who wish to build custom Copilot agents for answering questions and managing document processes.

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

• Assess when Copilot Chat is adequate and when an agent is the appropriate solution
• Develop a knowledge agent in Agent Builder, specifying the audience, knowledge sources, and boundaries
• Understand the composition of agents in Copilot Studio and create a foundational agent
• Break down document processes into reviewable stages with human approval
• Test agents using test cases and acceptance criteria
• Classify roles, permissions, licenses, and operational requirements

Course Format

• Duration: Two days (seven hours per day)
• Interactive learning with instructor support, discussions, and hands-on exercises applied to participants' own use cases
• Day 1 Outcome: Each participant will have a tested knowledge agent and a tool map for their specific work scenarios.
• Day 2 Outcome: Each participant will have a draft Studio agent with approval features, two tested process cases, and a roadmap for their use cases.

Customization Options

• To request a tailored version of this course, please contact us to make arrangements.

An assistant trained on corporate documentation is capable of responding to inquiries regarding policies, manuals, and workflows while clearly citing the source. This course demonstrates how to prepare documents, select a suitable platform, develop an agent without coding, and evaluate its responses using a question catalog. Participants will also draft a maintenance plan.

This live, instructor-led training in Bologna is designed for teams, knowledge owners, and key users who seek to generate answers directly from their proprietary documents, policies, and manuals.

Upon completing this training, participants will be able to:

• Understand the mechanism by which AI generates answers from documents (a simplified explanation of RAG) and identify its limitations.
• Prepare documents to ensure the accuracy of AI-generated responses.
• Select the most appropriate platform for a knowledge agent.
• Construct and distribute a knowledge agent without writing code.
• Validate answers using a question catalog and source references.
• Define maintenance procedures, roles, and content currency for operational use.

Course Format

• Duration: 1 day (7 hours).
• Interactive training sessions with a trainer, including discussions and hands-on exercises based on participants' specific use cases.
• Outcome, Day 1: Each participant will possess a shared knowledge agent based on their own documents, a measured hit rate, and a maintenance plan.

Course Customization Options

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

Langdock consolidates diverse AI models, intelligent assistants, enterprise knowledge resources, and workflow automation into a unified platform. This course focuses on practical daily usage in chat environments, the development and distribution of assistants, the integration of knowledge sources, and the configuration of workflows featuring human approval steps. It also outlines essential rules concerning data management, role assignment, and deployment strategies.

This live, instructor-led training session held in Bologna is specifically tailored for: Departments and key users in companies that are either currently deploying or preparing to introduce Langdock as their central AI platform.

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

• Operate Langdock with confidence, managing chat interactions, model selection, assistant creation, knowledge integration, and workflow automation
• Select the most suitable model for each specific task
• Construct assistants utilizing custom instructions and company knowledge, and share them across the team
• Connect SharePoint, OneDrive, and other sources to build a comprehensive knowledge base
• Implement simple workflows that include human approval checkpoints
• Define internal rules regarding data handling, roles, and approval processes

Course Format

• Duration: Two days (7 hours each), with an option to complete via four half-day online sessions
• Interactive training led by a trainer, including discussions and hands-on exercises focused on participants' specific use cases
• Day 1 Outcome: Each participant will have a template, a knowledge folder, and a shared assistant specific to their area.
• Day 2 Outcome: Each participant will have a functional workflow with approval, a connected knowledge source, and a plan for the next 30 to 60 days.

Customization Options

• To request a customized version of this training, please contact us to arrange details.

This live, instructor-led training in Bologna is tailored for intermediate-level professionals who aim to automate business processes and construct their first AI agent with Make.

Upon completion, participants will be able to:

• Design no-code workflows in Make using triggers and webhooks.
• Link an AI agent to their data within a flow.
• Automate a real-world process from start to finish, including error handling and monitoring.

A personal AI agent can triage emails, schedule appointments, draft briefings, and execute routines such as a morning summary. This one-day course illustrates how to configure it using a personal context, connectors, and clear protocols for approvals and data protection. Participants will depart with a functional agent and two active routines.

This live, instructor-led training in Bologna is designed for professionals, assistants, project managers, and freelancers aiming to set up a personal AI agent for their professional workflow.

Upon completing this training, participants will be able to:

• Distinguish between tasks a personal AI agent can automate and those it cannot
• Construct a personal context comprising a profile, specific instructions, and notes
• Manage email and calendar using AI while retaining full control
• Prepare for meetings and discussions using automated briefings
• Implement routines such as a morning overview and a weekly review
• Establish approvals, data protection protocols, and operational limits for their own agent

Course Format

• Duration: 1 day (7 hours)
• Interactive training featuring a trainer, group discussions, and hands-on exercises tailored to participants' use cases
• Day 1 Outcome: Each participant will possess a configured personal agent with a profile, linked mailbox and calendar, and two operational routines.

Course Customization Options

• To request a customized version of this course, please reach out to us for arrangements.

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

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

• Leverage AI support to streamline email and calendar management
• Accelerate meeting preparation and research processes
• Configure a personal assistant tailored to individual preferences
• Ensure the protection of both personal and corporate data