Agentic AI Training in Belgrade

Generative AI and Agentic AI represent two influential paradigms propelling the next generation of automation and intelligence. One focuses on creating content, while the other emphasizes goal-oriented, autonomous behavior.

This instructor-led, live training (available online or onsite) is designed for intermediate-level AI and technical professionals seeking to understand how to build, evaluate, and integrate generative and agentic AI into practical applications.

Upon completing this training, participants will be able to:

• Grasp the architecture and capabilities of generative AI systems.
• Explore the emergence of autonomous AI agents and their extension of Large Language Models (LLMs).
• Apply prompt engineering and tool integrations for practical deployments.
• Compare models, tools, and techniques to ensure responsible deployment.

Course Format

• Interactive lectures and discussions.
• Hands-on experience with generative and agentic AI tools in real-world scenarios.
• Guided exercises focused on content generation and autonomous workflows.

Course Customization Options

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

Agentic AI represents a new generation of systems capable of making autonomous decisions, executing tasks, and orchestrating workflows.

This instructor-led live training, available online or onsite, is designed for intermediate professionals looking to understand how agentic AI will transform organizational workflows, talent strategies, and job design.

After completing the course, participants will be able to:

• Assess the capabilities and limitations of agentic AI in enterprise settings.
• Identify opportunities for task automation, augmentation, and redesign.
• Evaluate workforce implications and develop responsible adoption strategies.
• Plan governance frameworks for safe, transparent, and compliant AI deployment.

Course Format

• Interactive lectures and discussions.
• Practical exercises and scenario-based analysis.
• Hands-on exploration of agentic workflows in a guided environment.

Course Customization Options

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

The Practical Agentic AI Bootcamp is an immersive, project-centric program designed to equip participants with hands-on expertise in designing, building, and deploying autonomous AI agents using Python. Through five increasingly complex projects, attendees will delve into agentic design patterns, prompt workflows, API orchestration, and real-world integration scenarios.

This instructor-led live training (available online or on-site) targets intermediate-level professionals eager to transition quickly from theoretical knowledge to practical implementation by developing functional prototypes of agentic AI applications.

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

• Comprehend agentic AI architectures and core design principles.
• Develop, test, and deploy multiple agent-based applications in Python.
• Integrate agents with external tools, APIs, and databases.
• Optimize prompts and workflows for enhanced performance and reliability.
• Apply industry best practices for monitoring, versioning, and scaling agent systems.

Course Format

• Interactive lectures combined with guided coding sessions.
• Hands-on project development and debugging exercises.
• Live demonstrations of end-to-end agent deployment.

Course Customization Options

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

The 'Edge & Lightweight Agents' course offers a hands-on approach to deploying agentic AI workloads on devices with limited resources. Participants will learn how to construct, optimize, and oversee lightweight agents that perform local reasoning and inference, thereby enhancing speed, privacy, and reliability in distributed systems. The curriculum places strong emphasis on performance tuning, low-latency design, and the integration of hardware with software.

This instructor-led, live training is available both online and onsite. It is designed for intermediate-level professionals looking to implement and optimize on-device agentic systems using Python and edge AI frameworks.

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

• Grasp the architecture and challenges associated with running agentic AI on edge devices.
• Design lightweight agent loops that are suitable for constrained environments.
• Implement local inference using TensorFlow Lite, PyTorch Mobile, and ONNX.
• Integrate agents with sensors, actuators, and IoT platforms.
• Optimize performance, energy consumption, and latency for real-time operation.

Course Format

• Interactive lectures combined with practical demonstrations.
• Hands-on development within local or emulated environments.
• Project-based learning supported by guided implementation exercises.

Course Customization Options

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

Agentic AI encompasses systems that operate autonomously to attain specific objectives, combining reasoning capabilities, memory retention, and tool utilization. This course delivers a structured introduction to the foundational concepts of agentic AI, emphasizing prompt engineering, architectural design patterns, and practices for responsible implementation. Participants will acquire the essential knowledge required to construct, guide, and deploy agents effectively and securely.

This instructor-led, live training session, available either online or onsite, is designed for beginner to intermediate-level professionals who aim to comprehend the design, prompting, and management of responsible agentic systems through practical frameworks and real-world examples.

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

• Articulate the fundamental principles and lifecycle of agentic AI systems.
• Utilize prompt engineering techniques to achieve efficient task completion.
• Design basic agent workflows leveraging tool access and decision-making logic.
• Integrate safety, governance, and responsible-use protocols into AI agents.
• Develop a prototype agent using Python and open-source frameworks.

Course Format

• Interactive lectures accompanied by guided demonstrations.
• Practical exercises and coding practice.
• Collaborative discussions and case-based activities.

Course Customization Options

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

Agentic AI for Business Automation is a practical course designed to equip participants with the skills to design, integrate, and scale AI-driven agents for real-world business processes. The curriculum emphasizes identifying automation opportunities, connecting tools, and developing tangible use cases across customer service, supply chain, and marketing operations.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals interested in implementing AI-powered automation through no-code, low-code, and Python-based methods.

Upon completing this training, participants will be able to:

• Pinpoint key areas where agentic AI can enhance process efficiency and drive innovation.
• Map workflows suitable for AI agent integration.
• Implement automation via APIs and orchestration tools.
• Integrate AI models into real business scenarios to achieve measurable impact.
• Establish governance and monitoring frameworks for AI-driven operations.

Course Format

• Interactive lectures paired with practical demonstrations.
• Hands-on exercises and guided projects.
• Live implementation within a sandbox automation environment.

Course Customization Options

• For customized training on this course, please contact us to arrange.

This course delves into the design, coordination, and implementation of multi-agent systems (MAS) utilizing Python. Participants will acquire the skills to construct agents that communicate, collaborate, and adapt to attain shared goals within complex and dynamic environments.

This instructor-led, live training (available online or on-site) is tailored for advanced professionals aiming to design and implement multi-agent systems for intelligent automation, simulation, and decision-making applications.

Upon completion of this training, participants will be capable of:

• Grasping the architecture and fundamental principles of multi-agent systems.
• Creating agents that can communicate, coordinate, and negotiate effectively.
• Setting up distributed environments for agent interactions.
• Applying reinforcement learning and planning techniques in multi-agent contexts.
• Simulating both cooperative and competitive agent behaviors.
• Designing hybrid workflows that integrate humans with intelligent agents.

Format of the Course

• Instructor-led lectures accompanied by live demonstrations.
• Practical exercises utilizing open-source agent frameworks.
• An applied group project simulating a multi-agent scenario.

Course Customization Options

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

This course delves into the fundamental principles and practical implementation of reinforcement learning (RL) and sequential decision-making within agentic AI systems. Participants will acquire the skills to design, train, and evaluate agents capable of interacting dynamically with their environments to accomplish long-term objectives through continuous learning and adaptation.

Offered as instructor-led live training, available both online and onsite, this program is tailored for advanced engineers and researchers seeking to incorporate reinforcement learning and planning algorithms into agentic systems for applications in automation, robotics, and adaptive reasoning.

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

• Grasp the mathematical foundations underlying reinforcement learning and decision-making.
• Implement core RL algorithms, including DQN, PPO, and A3C, utilizing Python and PyTorch.
• Model environments using OpenAI Gym and create custom simulation scenarios.
• Train, evaluate, and debug agents for both continuous and discrete control tasks.
• Apply reinforcement learning methodologies to agentic AI use cases in robotics and planning.
• Balance exploration, exploitation, and safety constraints during real-world deployment.

Format of the Course

• Instructor-led lectures accompanied by live coding demonstrations.
• Practical exercises employing open-source frameworks and simulation environments.
• An applied project focused on integrating decision-making capabilities into an agentic AI system.

Course Customization Options

• To request a customized training session for this course, please reach out to us to arrange details.

This program centers on scaling, operationalizing, and managing agentic AI systems within production settings, with a strong emphasis on reliability, observability, and cost efficiency.

This instructor-led, live training session (available online or onsite) targets advanced professionals aiming to construct resilient, observable, and cost-optimized pipelines for large-scale agentic systems.

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

• Architect scalable solutions for agentic AI workloads.
• Implement monitoring and observability frameworks specifically designed for agent behaviors and interactions.
• Apply performance tuning and resource optimization strategies for long-running agent processes.
• Manage costs and mitigate "agent sprawl" through effective policy, orchestration, and automation.
• Integrate MLOps best practices for the continuous deployment, versioning, and rollback of agentic services.

Course Format

• Hands-on, engineering-centric sessions featuring live infrastructure examples.
• Interactive exploration of architectural trade-offs and observability challenges.
• Capstone project: deploying and monitoring a production-grade, cost-controlled agentic system.

Customization Options

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

WrenAI empowers organizations to transition from rigid, static dashboards to dynamic conversational analytics and embedded generative BI. Successfully navigating this shift demands meticulous adoption planning, asset migration, and robust change management strategies.

This live, instructor-led training—available both online and onsite—is designed for intermediate-level BI and data platform professionals seeking to modernize their existing BI infrastructure using WrenAI.

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

• Assess legacy BI environments and pinpoint modernization opportunities.
• Strategize and implement the migration from static dashboards to WrenAI.
• Integrate conversational analytics and embedded GenBI functionalities.
• Drive organizational change management initiatives for BI modernization.

Course Format

• Interactive lectures and group discussions.
• Practical exercises focused on migration and adoption planning.
• Hands-on labs covering conversational analytics and embedded GenBI.

Customization Options

• For tailored training solutions, please reach out to us to arrange.

This course explores governance, identity management, and adversarial testing for agentic AI systems, with a focus on enterprise-safe deployment patterns and practical red-teaming techniques.

This instructor-led, live training (available online or onsite) is designed for advanced-level practitioners who wish to design, secure, and evaluate agent-based AI systems in production environments.

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

• Define governance models and policies for safe agentic AI deployments.
• Design non-human identity and authentication flows for agents with least-privilege access.
• Implement access controls, audit trails, and observability tailored to autonomous agents.
• Plan and execute red-team exercises to discover misuses, escalation paths, and data exfiltration risks.
• Mitigate common threats to agentic systems through policy, engineering controls, and monitoring.

Format of the Course

• Interactive lectures and threat-modeling workshops.
• Hands-on labs: identity provisioning, policy enforcement, and adversary simulation.
• Red-team/blue-team exercises and end-of-course assessment.

Course Customization Options

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

Python serves as the foundational language for developing and orchestrating autonomous AI agents. This course emphasizes practical implementation through modern SDKs and frameworks, including LangChain and AutoGen, to help participants build, connect, and manage agent workflows effectively.

Delivered as instructor-led live training (available online or onsite), this program is designed for intermediate-level backend engineers, platform engineers, and ML engineers who aim to implement and orchestrate autonomous agents using Python tools and APIs.

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

• Set up and configure Python-based environments specifically for agentic systems.
• Leverage popular agent SDKs such as LangChain and AutoGen to construct functional agents.
• Integrate tools and APIs to expand agent capabilities.
• Orchestrate complex multi-agent workflows and communication patterns.
• Apply industry best practices for debugging, testing, and maintaining agentic codebases.

Course Format

• Interactive lectures and group discussions.
• Hands-on programming exercises accompanied by live demonstrations.
• Practical projects focused on building end-to-end agent workflows.

Customization Options

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

WrenAI empowers finance teams to model key performance indicators (KPIs), integrate standardized metrics, and create dashboards that align with regulatory requirements and audit standards.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced finance professionals seeking to utilize WrenAI for building compliant financial data models and dashboards that support decision-making and risk management.

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

• Model financial KPIs and metrics in WrenAI.
• Construct dashboards that comply with regulatory and audit requirements.
• Integrate WrenAI with finance data sources for real-time reporting.
• Apply best practices for financial analytics and risk monitoring.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises with financial data models.
• Practical labs on dashboard design and compliance reporting.

Course Customization Options

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

This course delivers practical engineering methodologies for designing, building, testing, and deploying autonomous (agentic) systems using Python. The curriculum covers the agent loop, tool integrations, memory and state management, orchestration patterns, safety controls, and considerations for production environments.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced ML engineers, AI developers, and software engineers aiming to construct robust, production-ready autonomous agents in Python.

Upon completing this training, participants will be able to:

• Design and implement agent loops and decision-making workflows.
• Integrate external tools and APIs to enhance agent functionality.
• Develop short-term and long-term memory architectures for agents.
• Coordinate multi-step orchestrations and enable agent composability.
• Apply best practices for safety, access control, and observability in deployed agents.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focused on building agents using Python and popular SDKs.
• Project-based exercises resulting in deployable prototypes.

Customization Options

• To request a customized training session for this course, please contact us.

WrenAI facilitates the conversion of natural language into SQL queries and provides AI-driven analytics, streamlining data access and enhancing intuitiveness. For enterprise-grade applications, robust quality assurance and observability protocols are critical to maintaining accuracy, reliability, and regulatory compliance.

This instructor-led live training, available online or onsite, is designed for advanced data and analytics professionals. Participants will learn how to assess query accuracy, implement prompt tuning strategies, and deploy observability practices to monitor WrenAI effectively in production environments.

Upon completing this training, participants will be equipped to:

• Assess the accuracy and reliability of natural language to SQL outputs.
• Utilize prompt tuning techniques to enhance system performance.
• Monitor for drift and analyze query behavior over time.
• Integrate WrenAI with logging and observability frameworks.

Course Format

• Interactive lectures and group discussions.
• Practical exercises focused on evaluation and tuning methodologies.
• Hands-on labs covering observability and monitoring integrations.

Customization Options

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

Agentic AI refers to a methodology where artificial intelligence systems plan, reason, and utilize tools to achieve objectives within specified boundaries.

This instructor-led, live training (available online or onsite) is designed for intermediate-level healthcare and data professionals seeking to design, evaluate, and govern agentic AI solutions for clinical and operational applications.

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

• Articulate the concepts and constraints of agentic AI within healthcare settings.
• Design secure agent workflows incorporating planning, memory, and tool integration.
• Construct retrieval-augmented agents that process clinical documents and knowledge bases.
• Evaluate, monitor, and govern agent behavior using guardrails and human-in-the-loop controls.

Course Format

• Interactive lectures and facilitated discussions.
• Guided labs and code walkthroughs in a sandbox environment.
• Scenario-based exercises focused on safety, evaluation, and governance.

Customization Options

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

WrenAI is an AI-driven analytics platform designed to connect data, model insights, and generate dashboards. In enterprise environments, robust governance and security are critical to ensuring safe and compliant adoption.

This instructor-led, live training (online or onsite) is aimed at advanced-level enterprise professionals who wish to implement governance, compliance, and security patterns for WrenAI at scale.

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

• Design and implement permissioning models in WrenAI.
• Apply auditability and monitoring practices for compliance.
• Set up secure environments with enterprise-level controls.
• Roll out WrenAI safely across large organizations.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with governance and security configurations.
• Practical exercises simulating enterprise rollout scenarios.

Course Customization Options

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

This instructor-led, live training in Belgrade (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.

WrenAI Spreadsheets and Metrics Library facilitate rapid reporting by leveraging AI-driven spreadsheet workflows and a repository of pre-built, cross-platform business metrics.

This instructor-led live training (available online or onsite) is designed for beginner to intermediate operations professionals aiming to accelerate their reporting and analysis processes using WrenAI Spreadsheets and the Metrics Library.

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

• Develop AI-enhanced spreadsheets for data analysis and reporting.
• Utilize the WrenAI Metrics Library to establish standardized KPIs.
• Link spreadsheets to various data sources for real-time updates.
• Develop automated workflows to streamline operational reporting.

Course Format

• Interactive lectures and discussions.
• Practical, hands-on experience building spreadsheets with WrenAI.
• Applied exercises focused on metrics and KPI reporting.

Customization Options

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

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

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

• Understand the principles of Agentic AI in multi-agent environments.
• Develop 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.

The WrenAI API serves as a robust interface designed to translate natural language into SQL queries, facilitate the creation of custom applications, and embed visualizations into internal platforms.

This instructor-led live training, available both online and onsite, targets intermediate-level engineers aiming to leverage the WrenAI API for practical implementations, including SQL generation, data visualization, and application integration.

Upon completing this training, participants will be equipped to:

• Authenticate and link applications to the WrenAI API.
• Generate SQL queries based on natural language inputs.
• Design and embed charts using API endpoints.
• Integrate WrenAI capabilities into backend systems and internal tools.

Course Format

• Interactive lectures and discussions.
• Practical exercises involving API calls and integrations.
• Real-world projects linking applications, charts, and data pipelines.

Customization Options

• To request a tailored version of this course, please contact us to arrange details.

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

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

• Understand 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.

WrenAI Cloud serves as a contemporary platform designed to link data sources, structure data, and develop interactive dashboards.

This instructor-led, live training (available online or onsite) targets beginner to intermediate data professionals eager to master the setup of WrenAI Cloud, model data, and visualize insights within dashboards.

Upon completion of this training, participants will be capable of:

• Setting up and configuring WrenAI Cloud environments.
• Connecting WrenAI Cloud to various data sources.
• Modeling data and defining relationships for analytical purposes.
• Creating interactive dashboards to derive business insights.

Course Format

• Interactive lectures and discussions.
• Hands-on configuration of the cloud platform and data modeling.
• Practical exercises focused on dashboard creation and visualization.

Customization Options

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

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

By the end of this training, participants will be able to: <\/p>

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

WrenAI is an open-source generative BI tool that enables natural language to SQL conversion and semantic data modeling.

This instructor-led, live training (online or onsite) is aimed at advanced-level data engineers, analytics engineers, and ML engineers who wish to build robust semantic layers, tune prompts, and ensure reliable SQL generation.

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

• Implement semantic models for consistent metric definitions across teams.
• Optimize text-to-SQL performance for accuracy and scalability.
• Configure and enforce guardrails to avoid invalid or risky queries.
• Integrate WrenAI OSS into data pipelines and analytics workflows.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Belgrade (online or onsite) targets AI engineers, machine learning researchers, and developers at an intermediate level who wish to construct and deploy Agentic AI systems for real-world use cases.

Upon completing this training, participants will be equipped to:

• Grasp the fundamental principles underlying Agentic AI systems.
• Develop AI agents capable of autonomous reasoning and execution.
• Connect Agentic AI with APIs and external service providers.
• Optimize interactions among multiple agents for handling complex tasks.
• Tackle ethical, security, and scalability issues inherent in Agentic AI.

WrenAI empowers SaaS providers to seamlessly embed generative business intelligence (GenBI) directly into their customer-facing applications. This course equips SaaS teams with the expertise to integrate Wren AI via its Embedded API, configure white-label analytics, and effectively manage multi-tenant deployments.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced-level SaaS product leaders, data engineers, and full-stack developers looking to deploy WrenAI as an embedded analytics solution within SaaS environments.

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

• Integrate WrenAI using the Embedded API for customer-facing applications.
• Implement white-label conversational BI with custom branding and styling.
• Design secure and scalable multi-tenant deployments.
• Monitor usage, optimize performance, and ensure compliance in SaaS environments.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs using WrenAI Embedded API.
• Workshop: design and deploy a white-label analytics feature for a SaaS use case.

Course Customization Options

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

This instructor-led, live training in Belgrade (online or onsite) is designed for beginner-level professionals who want to grasp the fundamental principles of Agentic AI, its capabilities, and its potential impact on industries.

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

• Understand the core principles of Agentic AI.
• Differentiate between traditional AI and autonomous AI agents.
• Explore real-world applications of Agentic AI in various industries.
• Assess the benefits and challenges of deploying autonomous AI systems.
• Analyze the ethical and security considerations of Agentic AI.

WrenAI serves as a conversational analytics platform that converts natural-language queries into dependable analytics, empowering non-technical teams to rapidly and consistently derive insights.

This live, instructor-led training (available online or onsite) targets intermediate product managers, analysts, and data champions looking to adopt conversational analytics and establish self-service BI capabilities using WrenAI.

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

• Design conversational analytics workflows that surface reliable product insights.
• Create and maintain a standardized metrics layer for consistent reporting.
• Effectively utilize natural-language to SQL features to answer product-related questions.
• Embed WrenAI-driven self-service dashboards and guardrails into product workflows.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with Wren AI and sample datasets.
• Workshop: build a self-service dashboard and conversational query set.

Course Customization Options

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

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

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