AI agenti Training in Belgrade

This instructor-led, live training in Belgrade (online or onsite) is aimed at advanced-level AI engineers, robotics developers, and automation specialists who wish to leverage DeepSeek for building intelligent AI agents and autonomous systems.

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

• Understand the architecture and capabilities of DeepSeek AI models.
• Integrate DeepSeek into AI agents for decision-making and automation.
• Apply reinforcement learning techniques for training autonomous systems.
• Deploy AI-driven autonomous agents in real-world environments.

This live, instructor-led training in Belgrade—delivered either online or on-site—is designed for intermediate-level AI developers, security experts, and compliance professionals looking to engineer and deploy secure AI agents while addressing ethical nuances and robustness.

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

• Identify the security risks and ethical complexities associated with AI agent development.
• Embed security-first design principles into AI models.
• Deploy adversarial robustness strategies to defend AI agents against attacks.
• Adhere to ethical AI guidelines and comply with regulatory standards.

Ovaj praktičan kurs u Belgrade vodi vas kroz razvrtavanje agencijskog AI na uređajima sa ograničenim resursima. Naučite kako da izgradite, optimizujete i upravljate laganim agentima za lokalno razmišljanje koristeći Python, TensorFlow Lite i PyTorch Mobile, poboljšavajući brzinu, privatnost i pouzdanost.

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate to advanced AI developers, researchers, and multimedia engineers who aim to build AI agents capable of understanding and generating multi-modal content.

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

• Create AI agents that process and integrate text, image, and speech data.
• Deploy multi-modal models like GPT-4 Vision and Whisper ASR.
• Enhance multi-modal AI pipelines for superior efficiency and precision.
• Implement multi-modal AI agents in real-world scenarios.

This instructor-led live training in Belgrade, offered online or onsite, targets developers and designers from beginner to intermediate levels who aim to understand and build AI-powered personal assistants for a variety of use cases.

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

• Grasp the fundamental principles underlying AI-powered personal assistants.
• Master the basics of integrating language models with smart assistant technologies.
• Develop and tailor personal assistants using various AI frameworks and tools.
• Implement personal assistants for practical, real-world applications across multiple sectors.

This instructor-led, live training in Belgrade (online or onsite) is aimed at advanced-level AI engineers, enterprise software developers, and business leaders who wish to customize and deploy LLM-based AI agents for enterprise applications.

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

• Understand the architecture and capabilities of open-source LLMs.
• Customize and fine-tune LLMs for enterprise use cases.
• Deploy AI agents using LangChain and Hugging Face.
• Integrate LLM-powered agents into business workflows.

This instructor-led, live training in Belgrade (online or onsite) is designed for advanced-level robotics engineers, AI researchers, and automation specialists who aim to create AI-driven autonomous robotic systems capable of handling complex tasks and facilitating human-AI collaboration.

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

• Grasp the role of AI agents in robotic decision-making and automation.
• Implement AI-driven navigation and obstacle avoidance mechanisms.
• Develop collaborative robotic systems that work alongside humans.
• Deploy AI-powered perception and control systems within robots.

This live training in Belgrade assists advanced professionals in designing and implementing multi-agent systems using Python. It addresses agent coordination, reinforcement learning, and distributed computing with frameworks such as Mesa and Ray, culminating in a hands-on capstone project.

This live, instructor-led training in Belgrade, offered online or on-site, caters to intermediate-level financial professionals, risk analysts, and AI engineers looking to build and deploy AI-driven solutions for financial automation and fraud detection.

Upon completion, participants will be equipped to:

• Comprehend the function of AI in financial automation and fraud detection.
• Develop AI models specifically for identifying fraudulent transactions.
• Utilize machine learning for real-time risk evaluation.
• Implement AI-powered financial monitoring systems.

Offered in Belgrade (online or onsite), this live, instructor-led training is tailored for customer service professionals, chatbot developers, and automation teams ranging from beginner to intermediate levels who aim to implement AI-driven solutions for customer support and service automation.

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

• Understand the fundamentals of AI-powered customer support.
• Develop and integrate AI chatbots for handling customer queries.
• Leverage NLP and machine learning to enhance chatbot interactions.
• Deploy AI agents in real-world customer service applications.

Ova obuka sa predavačem uživo u Belgrade (online ili uživo na lokaciji) namenjena je zdravstvenim profesionalcima i AI developerima srednjeg i naprednog nivoa koji žele da implementiraju AI-rešenja u zdravstvu.

Na kraju ove obuke, učesnici će moći:

• Da razumeju ulogu AI agenata u zdravstvu i dijagnostici.
• Da razviju AI modele za analizu medicinskih slika i prediktivnu dijagnostiku.
• Da integrišu AI sa elektroniskim zdravstvenim kartonima (EHR) i kliničkim tokovima rada.
• Da osiguraju usklađenost sa zdravstvenim propisima i etičkim praksama u AI-u.

Ova trenerovana, uživa obuka u Belgrade (online ili na licu mesta) namenjena je AI developerima i dizajnerima UI/UX sa početnim do srednjim nivoom znanja koji žele da nauče kako da grade, optimizuju i implementiraju AI vođene virtualne asistente.

Krajem ove obuke, učesnici će biti u stanju da:

• Dizajniraju efikasne AI konverzacione tokove i UI/UX interfejse.
• Implementiraju AI vođene modele za obradu prirodnog jezika (NLP).
• Integrišu AI asistente sa API-ovima i trećim stranama platformama.
• Implementiraju i održavaju AI asistente za realna poslovna okruženja.

This hands-on training in Belgrade is targeted at intermediate to advanced professionals seeking to build, deploy, and manage AI agents. Participants will learn to utilize Mistral Medium 3, Le Chat Enterprise, and Devstral for robust enterprise and developer use cases, including the integration of connectors, RAG patterns, and compliance measures.

This instructor-led, live training in Belgrade focuses on practical Python implementation for autonomous AI agents. It explores modern SDKs like LangChain and AutoGen, enabling engineers to build, connect, and orchestrate complex agent workflows with confidence.

This live, instructor-led course in Belgrade focuses on practical Python techniques for developing autonomous agents. It covers essential components such as agent loops, tool integration, memory management, orchestration, and safety controls. The course is ideal for ML engineers aiming to deploy resilient, production-ready agents.

This live, instructor-led training in Belgrade (delivered online or onsite) is designed for senior professionals aiming to perfect the methodologies for deploying and managing AI agents in production environments.

By the end of this program, participants will be equipped to:

• Architect and execute robust, scalable AI deployment pipelines.
• Leverage Docker and Kubernetes for the containerization and orchestration of AI agents.
• Continuously monitor and fine-tune the performance of AI agents in production.
• Establish streamlined CI/CD workflows for managing AI agent releases.
• Maintain strict adherence to security protocols and data governance standards.

This live, instructor-led session in Belgrade (delivered online or on-site) is designed for advanced AI professionals aiming to master reinforcement learning techniques and deploy them to train AI agents for complex problem-solving.

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

• Understand the core tenets of reinforcement learning and Markov Decision Processes (MDPs).
• Design and implement RL algorithms like Q-Learning, SARSA, and Deep Q-Networks (DQN).
• Apply frameworks such as OpenAI Gym and RL libraries in practical scenarios.
• Train AI agents to handle real-world, multi-step decision-making tasks.
• Address critical challenges, including exploration-exploitation balance and convergence in RL.

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.

This instructor-led, live training in Belgrade (online or onsite) is tailored for advanced AI professionals who wish to acquire the expertise to design, build, and deploy MAS that solve complex, real-world problems.

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

• Understand the principles of multi-agent system architectures.
• Implement strategies for communication, coordination, and decision-making in MAS.
• Apply game theory to model agent interactions and resolve conflicts.
• Leverage frameworks like JADE to create scalable MAS solutions.
• Address challenges like scalability, trust, and emergent behavior in MAS.

Ovaj instrukcijski, uživo obukom u Belgrade (online ili na lokaciji) namenjen je profesionalima naprednog nivoa koji žele da razviju i optimizuju sisteme više agenata koristeći Agentic AI okvire.

Na kraju ove obuke, učesnici će moći da:

• Razumeju principe Agentic AI u okruženjima više agenata.
• Razviju AI agentove koji autonomno interaguju.
• Primene učenje sa jačanjem za adaptivno AI ponašanje.
• Optimizuju saradnju i takmičenje više agenata.
• Primene Agentic AI u robotici, igricama i preduzećkoj automatizaciji.

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate-level business analysts, RPA developers, and AI professionals who wish to harness the power of AI agents for business process automation.

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

• Understand the role of AI agents in business process automation.
• Identify opportunities for automation in key business domains.
• Develop AI-driven solutions for customer support, finance, and supply chain workflows.
• Integrate AI agents with existing RPA and business systems.
• Evaluate and optimize AI automation strategies for efficiency.

This live, instructor-led course in Belgrade focuses on the design of grounded agents using Vertex AI Agent Builder and RAG. Participants will learn to implement pipelines, securely integrate enterprise data, and evaluate agent behavior. It is ideally suited for intermediate practitioners looking to build sophisticated solutions.

This instructor-led, live training in Belgrade (online or onsite) is aimed at intermediate-level game developers and AI enthusiasts who wish to integrate AI agents into gaming applications effectively.

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

• Understand the role of AI agents in modern gaming.
• Develop decision-making systems using decision trees and finite state machines.
• Implement pathfinding algorithms such as A* for in-game navigation.
• Apply reinforcement learning techniques to create adaptive AI behaviors.
• Optimize AI performance for real-time gaming environments.

Ova obuka, vođena od strane instruktora, u Belgrade (online ili na licu mesta), namenjena je profesionalcima naprednog nivoa koji žele da iskoriste agentsku veštačku inteligenciju za donošjenje odluka u složenim poslovnim i tehničkim scenarijima.

Nakon završetka ove obuke, učesnici će moći da:

• Razumeju principe autonomog donošjenja odluka u veštačkoj inteligenciji.
• Dizajniraju i implementiraju agense veštačke inteligencije koji rade uz minimalno ljudsko mešanje.
• Integriraju agentsku veštačku inteligenciju u automatizovane tokove posla i poslovne sisteme.
• Optimizuju procese donošjenja odlaka na bazi veštačke inteligencije radi efikasnosti i skalabilnosti.
• Obezbeđuju usklađenost, bezbednost i etičke aspekte u autonomiji veštačke inteligencije.

This instructor-led, live training in Belgrade (online or on-site) is designed for intermediate-level professionals aiming to deepen their skills in the design and development of autonomous agents for practical applications.

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

• Understand the foundational concepts of autonomous agents.
• Explore real-world applications of autonomous AI agents.
• Design, train, and implement agents using reinforcement learning.
• Integrate agents into existing systems for automation and decision-making.
• Address ethical considerations and challenges in deploying autonomous agents.

Become proficient in Devstral through this live training session held in Belgrade. The curriculum covers architecture, agentic workflow design, and tool integration. Designed for advanced engineers, the course utilizes hands-on labs to construct coding agents that elevate both productivity and security within contemporary development environments.

Ova obuka vode od strane instruktora, koja se održava uživo u Belgrade (online ili na lokaciji), namenjena je profesionalcima početničkog nivoa koji žele da razumeju kako AI agenti funkcionišu i kako da izgrade sopstvene interaktivne sisteme za razmenu poruka.

Krajem ove obuke, učesnici će moći da:

• razumeju osnove AI agenata i njihove primene.
• istraže principe obrade prirodnog jezika (NLP).
• dizajniraju konverzacijski tok za čebota.
• razviju funkcionalni čebot koristeći Python i povezane alate.
• implementiraju čebota kako bi komunicirao sa stvarnim korisnicima.

Ova obuka sa predavačem, uživo na lokaciji Belgrade (online ili uživo na lokaciji), namenjena je profesionalcima početničkog nivoa koji žele da razumeju i kreiraju jednostavne AI agente za primenu u stvarnom svetu.

Kraja ove obuke, učesnici će biti u mogućnosti da:

• razumeju osnovne koncepte AI agenata;
• identifikuju različite tipove AI agenata i njihove primene;
• dizajniraju i implementiraju osnovne AI agente za praktične zadatke;
• istraže alate i okvire za izgradnju AI agenata.

Ova obuka uživo, vođena od strane instruktora u Belgrade (online ili uživo na lokaciji), namenjena je početnim i srednjim nivooma razvojnog inženjera i cloud stručnjacima koji žele da koriste Alibaba Cloud za izgradnju AI agenata sposobnih da automatizuju zadatke, odgovaraju na pitanja i uspostave vezu sa poslovnim sistemima.

Krajem ove obuke, učesnici će moći da: razumeju arhitekturu AI agenata na Alibaba Cloudu, izgrade jednostavni radni tok agenta, povežu agenta sa enterprijskim znanjem i alatima, implementiraju i prate rad agenta u cloud sredini.

This live, instructor-led training in Belgrade (available online or on-site) is designed for observability and SRE engineers seeking to integrate LLMs and AI into their monitoring, alerting, and incident analysis workflows.

This advanced, hands-on workshop is tailored for software engineers, architects, technical leads, engineering managers, and delivery teams aiming to leverage Artificial Intelligence to streamline the entire software delivery lifecycle, from initial requirements analysis to production-grade code.

This instructor-led, live training in Belgrade (available online or onsite) targets beginner, intermediate, and advanced-level developers and technical professionals who intend to utilize Microsoft Azure for building, testing, and deploying business-oriented AI agents.

By the conclusion of this training, participants will understand the architecture of AI agents on Azure, learn to create and configure functional agents, connect these agents to corporate data sources, and evaluate them for deployment readiness.

Ova obuka sa predavačem, koja se odvija uživo u Belgrade (online ili licem u lice), namenjena je softverskim developerima i DevOps timovima koji žele da koriste OpenAI Codex CLI za automatizaciju zadataka kodiranja, pregled koda i pokretanje višestepenih tokova rada iz terminala.

Do kraja ove obuke, učesnici će moći da instaliraju i konfigurisuju Codex CLI, izvršavaju zadatke putem uputa na prirodnom jeziku, upravljaju režimima odobrenja i integrišu ga sa Git-om i CI pipeline-ovima.

This instructor-led, live training in Belgrade (online or onsite) is aimed at developers who wish to use GitHub Copilot Agent Mode to autonomously build features, run tests, and manage larger coding tasks.

By the end of this training, participants will be able to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and implement enterprise governance.

Ova obuka uz prisustvo instruktora, održav uživo Belgrade (online ili na lokaciji), namenjena je developerima i liderima koji žele da koriste Cursor radi bržeg izgradnje funkcionalnosti, refaktorizacije preko fajlova i upravljanja AI tokovima rada na nivou tima.

Do kraja obuke, učesnici će moći da navigiraju koristeći Composer i agentski režim, ciljaju kod pomoću kontekstualno svesnog chata, implementiraju timska radna mesta i integrišu Cursor sa sistemima za kontrolu verzija.

This live, instructor-led training in Belgrade, offered online or onsite, targets software developers and AI engineers seeking to use DeepSeek Harness to build, operate, and extend AI coding agents.

This live, instructor-led training in Belgrade (available online or onsite) is designed for intermediate-level solution architects, AI engineers, developers, and technical product teams aiming to utilize Tencent ADP for building enterprise AI agents equipped with RAG, workflow automation, and operational safeguards.

By the conclusion of this training, participants will be able to: design ADP-based agents, establish knowledge pipelines, orchestrate workflows and multi-agent patterns, and implement production-level safeguards.

This instructor-led, live training in Belgrade (available online or on-site) is designed for developers and technical practitioners from beginner to advanced levels who want to leverage Google Cloud to build AI agents that automate tasks, utilize tools, and interact with business data.

By the conclusion of this training, participants will be able to: explain AI agent concepts, construct agents using Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.

This instructor-led, live training in Belgrade (online or onsite) is aimed at developers and DevOps professionals who wish to use Hermes Agent to automate development tasks, manage infrastructure, and build persistent AI workflows.

By the end of this training, participants will be able to install and configure Hermes Agent, interact with it across multiple platforms, use 40+ built-in tools, and deploy on various backends.

This instructor-led, live training in Belgrade (online or onsite) is designed for business users, operations teams, and technical professionals who wish to use Hermes Agent to automate work, create reusable AI-driven processes, and improve team productivity.

By the end of this training, participants will be able to: explain Hermes Agent basics, set up and use core features, build practical workflows, and apply good operational practices.

Ova instruktorska, uživo obuka u Belgrade (online ili uživo) namenjena je programerima koji žele da koriste Hermes Agent za dizajniranje i pokretanje bezbednih lokalnih AI radnih tokova za podršku kodu.

Koncem ove obuke, učesnici će moći da: objasne koncepte Hermes Agenta, podesе bezbedna lokalna agent okruženja, izgrade praktične radne tokove kodiranja i primene mere bezbednosti i upravljanja.

Ovo instruktersko, uživo obučavanje u Belgrade (onlajn ili licem u lice) namenjeno je developerima i tehničkim timovima koji žele da koriste Ollama i otvorene modele za izgradnju i pokretanje privatnih agenčkih AI rešenja na internoj infrastrukturi.

Krajem ovog obučavanja, učesnici će moći da: instaliraju i konfigurisuju Ollamu, evaluiraju i pokreću otvorene modele lokalno, kreiraju jednostavne agenske i pretragu-bazirane tokove rada, i primeњују bezbednosne i upravljačke kontrole za regulisana okruženja.

This instructor-led, live training in Belgrade (online or onsite) is aimed at backend developers who wish to build MCP-compatible tool servers and integrate them with agent clients.

By the end of this training, participants will be able to implement MCP servers, connect them to Claude Code and OpenClaude, switch transports, and maintain an internal tool registry.

Ova obuka sa instruktora, uživo u Belgrade (online ili licem u lice), namenjena je profesionalcima iz oblasti veštačke inteligencije početnog / srednjeg / naprednog nivoa znanja koji žele da koriste MCP za povezivanje asistenci veštačke inteligencije sa spoljnim alatima, podacima i preduzećkim uslugama.

Koncem ove obuke, učesnici će moći da: objasne koncepte MCP-a, prepoznaju ključne arhitektonske komponente, podesi osnovnu integraciju i primene dobre bezbednosne prakse.

This instructor-led, live training in Belgrade (online or onsite) targets beginner to intermediate developers and technical teams seeking to utilize OpenAI APIs for building AI agents capable of reasoning, tool usage, and multi-step task execution.

By the end of this training, participants will be able to design agent workflows, integrate tools and external data, manage context and responses, and test agents for business applications.

Ova obuka sa instruktivom uživo u Belgrade (online ili na lokaciji) namenjena je developerima i tehničkim profesionalcima srednjeg / naprednog nivoa koji žele da koriste OpenClaw za izgradnju i pokretanje praktičnih AI agenata koji automatu rad kroz chat i integracije sa alatima.

Krajem ove obuke, učesnici će moći da: instaliraju i konfigurisu OpenClaw, povežu LLM provajdera, koriste i prilagode veštine za automatizaciju i primene osnovna sigurnosna i operativna pravila ponašanja.

Ova obuka sa instruktom uživo u Belgrade (online ili na licu mesta) namenjena je senior developerima koji žele da koriste Pi za izgradnju laganih, prilagodljivih terminalnih radnih tokova agena.

Koncem ove obuke, učesnici će moći da instaliraju Pi, prošire ga TypeScript veštinama, prilagode radne tokove standardima tima i dele ekstenzije putem npm-a.

This instructor-led live training in Belgrade (online or onsite) is designed for developers who wish to use Pi Coding Agent to generate code, review changes, and streamline terminal-based development workflows.

By the end of this training, participants will be able to explain Pi Coding Agent concepts, set up and use the tool effectively, apply it to practical coding tasks, and adopt safe team workflows.