Agentic AI Training in Sofia

This live training in Sofia examines how agentic AI is redefining organizational workflows, talent strategies, and job design. Aimed at intermediate professionals, the curriculum addresses autonomous decision-making, enterprise readiness, and governance frameworks to facilitate responsible and compliant AI adoption.

This instructor-led bootcamp in Sofia provides a practical pathway to building autonomous AI agents using Python. Learners complete five sequential projects covering design patterns, API orchestration, and multi-agent workflows, facilitating a smooth transition from theory to practical deployment.

This hands-on course on Sofia walks you through the process of deploying agentic AI on devices with limited resources. Discover how to build, fine-tune, and manage lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, ultimately boosting speed, privacy, and reliability.

This instructor-led live training in Sofia explores the landscape of agentic AI, addressing prompt engineering, architectural design patterns, and ethical usage. Participants will learn to construct basic agent workflows using Python, integrate external tools, and apply safety measures to ensure the creation of effective, secure, and scalable autonomous systems.

This live, instructor-led training in Sofia supports intermediate professionals in designing and scaling agentic AI for business automation. You will learn to map workflows, connect tools, and construct practical use cases in customer service, supply chain, and marketing, ensuring tangible business impact.

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

This instructor-led session on Sofia focuses on reinforcement learning and decision-making for agentic AI. Trainees will implement DQN, PPO, and A3C using Python, model environments via OpenAI Gym, and apply these methods to robotics and planning systems to ensure real-world adaptive performance.

This live training in Sofia empowers advanced professionals to scale and operationalize agentic AI systems in production. It addresses MLOps, observability, and cost governance, facilitating the creation of resilient, observable, and cost-efficient pipelines for large-scale deployments.

This live, instructor-led session in Sofia assists BI professionals in upgrading legacy systems with WrenAI. You will assess current environments, strategize migrations toward conversational analytics, and direct change management initiatives to guarantee successful adoption and measurable business results.

This instructor-led program in Sofia addresses governance, identity management, and red-teaming for agentic AI systems. It empowers advanced practitioners to design secure deployments, enforce least-privilege access, and perform adversarial testing to neutralize real-world threats in production settings.

This live, instructor-led training in Sofia concentrates on applying Python to autonomous AI agents. It addresses modern SDKs like LangChain and AutoGen, empowering engineers to build, connect, and orchestrate sophisticated agent workflows with confidence.

This guided training in Sofia enables finance professionals to utilize WrenAI for KPI modeling and the creation of regulatory-compliant dashboards. Attendees will acquire hands-on skills in integrating data sources, maintaining audit readiness, and constructing risk management reports to drive informed business decisions.

Delivered as an instructor-led live training in Sofia, this course focuses on practical Python techniques for creating autonomous agents. It covers essential components such as agent loops, tool integrations, memory management, orchestration, and safety controls. Specifically tailored for ML engineers, the content emphasizes the deployment of robust, production-ready agent systems.

This instructor-led program in Sofia empowers advanced professionals with key competencies for ensuring WrenAI quality. Learners will develop the ability to verify NL-to-SQL precision, apply prompt optimization, and deploy observability frameworks, making it an ideal choice for maintaining enterprise-level reliability and compliance.

This instructor-led, live training in Sofia (online or onsite) is aimed at intermediate-level AI developers and automation specialists who wish to integrate agentic capabilities into AI-powered applications.

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

• Understand the principles of agentic AI and autonomous decision-making.
• Implement goal-driven AI agents with self-optimization techniques.
• Integrate multi-agent collaboration for complex problem-solving.
• Enhance AI-human interaction through adaptive user experiences.
• Deploy agentic AI models in real-world applications.

This live, instructor-led session in Sofia guides operations professionals in mastering WrenAI Spreadsheets and the Metrics Library. Participants will learn to construct AI-driven reports, connect live data sources, and optimize workflows to boost operational analytics and achieve efficient business reporting.

This live, instructor-led training in Sofia (online or in-person) targets advanced professionals seeking to develop and optimize multi-agent systems through Agentic AI frameworks.

Upon completing this course, participants will gain the ability to:

• Grasp the foundational principles of Agentic AI within multi-agent contexts.
• Create AI-driven agents capable of autonomous interaction.
• Utilize reinforcement learning to foster adaptive AI behaviors.
• Enhance both collaboration and competition among multiple agents.
• Deploy Agentic AI solutions in robotics, gaming, and enterprise automation.

This live, instructor-led training in Sofia empowers intermediate engineers with the proficiency to apply the WrenAI API in practical scenarios. Learners will acquire the skills to generate SQL from natural language, develop and embed visual charts, and integrate the API seamlessly into backend systems and internal utilities.

This instructor-led, live training in Sofia (online or onsite) is designed for advanced-level professionals looking 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 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 practical training in Sofia guides data professionals through the process of establishing WrenAI Cloud, integrating various data sources, and structuring data for analytical purposes. Learners will acquire the skills to transform raw information and construct interactive dashboards that provide actionable business intelligence.

This instructor-led, live training in Sofia (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.

In Sofia, master the creation of resilient semantic layers and the optimization of text-to-SQL capabilities using WrenAI OSS. Tailored for advanced data and ML engineers, this training covers prompt refinement, guardrail implementation, and the smooth integration of these tools into pipelines and analytics workflows to guarantee dependable performance.

This instructor-led live training conducted in Sofia (online or on-site) is tailored for intermediate-level AI engineers, ML researchers, and developers who aim to build and implement Agentic AI systems for real-world use cases.

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

• Comprehend 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 instructor-led, live training in Sofia (available online or on-site) is designed for beginner-level professionals eager to understand the core principles, capabilities, and industrial impact of Agentic AI.

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

• Comprehend the foundational principles of Agentic AI.
• Distinguish between conventional AI and autonomous AI agents.
• Examine practical applications of Agentic AI across diverse industries.
• Evaluate the advantages and obstacles associated with deploying autonomous AI systems.
• Analyze ethical and security implications surrounding Agentic AI.

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

This intensive one-day program offers software engineers, technical leads, and development teams a practical framework for effectively leveraging AI coding agents within real-world software projects. Instead of concentrating solely on prompting strategies, the course delves into the entire agent ecosystem. Topics include context engineering, reusable workflows, MCP (Model Context Protocol) integrations, feedback mechanisms, security measures, and organizational adoption.

AI agents are transitioning from research prototypes to autonomous production systems that operate across text, image, speech, and tool-driven workflows. This shift demands higher standards for engineering rigor, adversarial robustness, and regulatory accountability. This instructor-led program guides advanced practitioners through the complete agent lifecycle, covering everything from designing single and multi-agent architectures to integrating multi-modal perception and orchestrating coordinated behaviors via modern frameworks. Through progressive Python-based hands-on labs, participants build a production-grade multi-agent system, which they then stress-test 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 secure deployment, monitoring, and incident response strategies. By the end of the course, participants will be equipped to deploy agents that are capable, defensible, and compliant.

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

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

This live, instructor-led training in Sofia is designed for intermediate developers aiming to design, implement, and test AI agents utilizing the Claude API and the Agent SDK.

Upon successful completion of this training, participants will possess the skills to:

• Utilize the Messages API by leveraging system prompts, structured outputs, and streaming capabilities
• Configure tools and establish a robust loop for tool execution and recovery
• Integrate agents with external systems via Model Context Protocol (MCP) servers
• Develop and execute agents using the Claude Agent SDK, including management of permissions and subagents
• Optimize performance by reducing costs and latency through prompt caching and efficient context management
• Validate agent performance, maintain logs, and monitor behavior using targeted evaluation sets

Claude Cowork transitions from responding to single prompts to executing comprehensive tasks, such as research, documentation, and file management. This course instructs users on formulating precise assignments, verifying plans, and assessing results. Participants will delegate three practical tasks and configure a scheduled workflow.

Delivered as a live, instructor-led training in Sofia, this session is designed for knowledge workers, assistants, and project leads who prefer delegating entire tasks to Claude over step-by-step chatting.

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

• Differentiate between conversational chat and delegated work in Cowork
• Draft assignments specifying goals, materials, limits, and acceptance criteria
• Produce documents, spreadsheets, and presentations from folder contents
• Delegate research from the initial question to a completed report
• Utilize plugins, skills, and connectors within Cowork
• Set approval points, backups, and secure folder access protocols

Course Format

• Duration: 1 day (7 hours)
• Interactive training with a trainer, discussions, and hands-on exercises based on participants' own use cases
• Day 1 Outcome: Each participant will have delegated three real tasks to Cowork, reviewed the results, and set up a scheduled task.

Course Customization Options

• Please contact us to arrange a customized training solution for this course.

Organizations can leverage agents to resolve knowledge queries and streamline document workflows with robust control mechanisms. This comprehensive two-day program explores Agent Builder on the first day, followed by Copilot Studio on the second, focusing on approval workflows and testing protocols. Attendees will conclude the session with a fully tested knowledge agent and a preliminary Studio agent setup.

Designed for key users, AI champions, and department heads, this live, instructor-led training in Sofia empowers business teams to develop custom Copilot agents tailored for answering specific questions and managing document processes.

Upon completion, participants will possess the capability to:

• Distinguish between scenarios suitable for Copilot Chat and those requiring a dedicated agent
• Configure knowledge agents in Agent Builder, defining target audiences, knowledge sources, and operational boundaries
• Grasp the architectural framework of Copilot Studio agents and develop an initial prototype
• Decompose document workflows into manageable steps, integrating human-in-the-loop approvals
• Validate agent performance using structured test cases and defined acceptance criteria
• Categorize roles, permissions, licensing requirements, and operational governance

Course Format

• Duration: Two days (seven hours per day)
• Interactive sessions featuring instructor-led discussions and hands-on exercises applied to participants' specific business scenarios
• Day 1 Deliverable: A validated knowledge agent and a strategic tool map for individual workflows
• Day 2 Deliverable: A draft Studio agent with approval mechanisms, two verified process scenarios, and a personalized implementation roadmap

Customization Options

• Contact us to discuss tailored training solutions for this course

Deploying an AI assistant on internal company documents enables teams to answer inquiries regarding policies, manuals, and processes while citing specific sources. This course guides you through preparing documentation, selecting the appropriate platform, constructing the agent in a code-free environment, and evaluating its performance using a structured question catalog. Additionally, participants will develop a comprehensive maintenance plan.

This live, instructor-led training in Sofia is designed for teams, knowledge owners, and key users seeking to deliver reliable answers sourced from their own documentation, policies, and manuals.

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

• Grasp the mechanics of AI document-based responses (RAG explained simply) and understand their limitations
• Optimize documentation to ensure accuracy in AI-generated answers
• Select the most suitable platform for a knowledge agent
• Create and deploy a knowledge agent without requiring coding skills
• Validate responses using a question catalog and verifiable source references
• Establish protocols for maintenance, role assignments, and content currency in a live operational setting

Course Format

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

Course Customization Options

• Please contact us to discuss and arrange customized training for this course.

Langdock unifies various AI models, virtual assistants, organizational knowledge, and workflow automation into a single platform for enterprise efficiency. This course explores practical day-to-day applications, such as chat usage, creating and deploying assistants, integrating knowledge sources, and setting up workflows with human validation steps. It also covers the establishment of governance rules regarding data, roles, and rollout strategies.

This live, instructor-led training in Sofia is designed for: Departments and key users in organizations that are leveraging or introducing Langdock as their central AI hub.

Upon completion, participants will be able to:

• Confidently operate Langdock, managing chat, models, assistants, knowledge bases, and workflows
• Select optimal models for distinct tasks
• Create assistants with specific instructions and company knowledge, and share them across the team
• Link SharePoint, OneDrive, and other repositories to build a comprehensive knowledge base
• Implement simple workflows that include human approval mechanisms
• Formulate policies for data security, role definitions, and approval hierarchies within the company

Course Structure

• Duration: Two days (seven hours each), or alternatively four half-day online modules
• Engaging training sessions led by an instructor, including discussions and practical exercises based on participants' real-world scenarios
• Day 1 Result: Each participant will have a personal template, a knowledge folder, and a shared assistant tailored to their specific domain.
• Day 2 Result: Each participant will have a live workflow with approval controls, an integrated knowledge source, and a development plan for the next 30 to 60 days.

Tailored Training Options

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

This live, instructor-led training in Sofia, conducted either online or onsite, is designed for professionals ranging from beginner to intermediate levels who aspire to automate a practical process and develop their first AI agent with Make in one day.

Upon finishing this training, participants will gain the ability to:

• Create Make scenarios linked to daily business applications.
• Integrate an AI model and an initial agent into a scenario.
• Execute scenarios while implementing error handling and monitoring protocols.

This instructor-led, live training in Sofia (available online or onsite) targets intermediate business professionals seeking to build automated workflows and AI agents in n8n without coding.

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

• Create n8n workflows linked to standard business applications.
• Integrate AI models and agents that process internal company data.
• Manage workflows in operational environments with robust error handling, approval steps, and monitoring.

This live, instructor-led training in Sofia is tailored for intermediate-level professionals looking to automate business operations and create their first AI agent using Make.

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

• Design no-code workflows in Make utilizing triggers and webhooks.
• Connect AI agents to data sources within a flow.
• Automate a complete real-world process, incorporating error handling and monitoring.

A personal AI agent is capable of managing email, scheduling appointments, generating briefings, and executing routine tasks such as morning overviews. This one-day course demonstrates how to configure such an agent using a personal context, integrations, and clear protocols for approvals and data security. Upon completion, participants will have a fully functional agent with two active routines in place.

This instructor-led, live training in Sofia is designed for professionals, assistants, project managers, and self-employed individuals looking to implement a personal AI agent for their specific work needs.

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

• Identify the specific tasks a personal AI agent can automate and recognize its limitations
• Establish a personal context by defining profiles, instructions, and notes
• Manage email and calendar using AI while maintaining full control
• Prepare for meetings and discussions with automated briefings
• Implement routines such as daily morning overviews and weekly reviews
• Establish rules for approvals, data protection, and operational limits for the agent

Course Format

• Duration: 1 day (7 hours)
• Interactive session with a trainer, including discussions and hands-on exercises focused on participants' specific use cases
• Day 1 Outcome: Each participant will have a configured personal agent with a defined profile, connected mailbox and calendar, and two active routines.

Customization Options

• For a customized training experience tailored to this course, please contact us to make arrangements.

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

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

• Manage email and calendars with the aid of AI
• Speed up meeting prep and research tasks
• Establish a personal assistant customized to their needs
• Ensure the protection of personal and company information