AI Agents 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.

Autonomous AI agents are increasingly embedded in decision-making processes across sectors such as defense, healthcare, finance, and infrastructure. As these systems gain greater independence and autonomy, there is an urgent need for robust ethical frameworks, governance mechanisms, and regulatory oversight to guide their design and deployment.

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to explore the ethical, societal, and regulatory implications of deploying autonomous AI agents in real-world environments.

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

• Analyze the ethical risks and moral dilemmas posed by autonomous AI agents.
• Evaluate governance frameworks and regulatory models relevant to high-stakes AI deployment.
• Assess accountability, explainability, and transparency mechanisms in autonomous systems.
• Develop strategies for aligning AI agent behavior with legal, ethical, and societal values.

Format of the Course

• Interactive lecture and discussion.
• Case studies and role-playing simulations.
• Hands-on analysis of governance models and ethical frameworks.

Course Customization Options

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

AI-driven automation merges the adaptability of no-code platforms with the sophistication of large language models and autonomous agents to build scalable, intelligent systems.

This instructor-led, live training (available online or onsite) targets intermediate professionals aiming to design, construct, and optimize automation pipelines equipped with AI-driven decision-making, orchestration, and self-executing capabilities.

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

• Design no-code automation workflows enhanced by AI interpretation and response mechanisms.
• Utilize prompt chaining, webhook triggers, and APIs to construct scalable logic flows.
• Develop intelligent applications that seamlessly connect services and autonomously interpret data.
• Understand, design, and deploy AI agents capable of goal-oriented planning and execution.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To arrange customized training for this course, please contact us to discuss your specific needs.

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate AI developers, security specialists, and compliance officers who wish to design and implement secure AI agents while addressing ethical concerns and robustness.

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

• Understand the security risks and ethical challenges in AI agent development.
• Implement security-first design principles for AI models.
• Apply adversarial robustness techniques to prevent attacks on AI agents.
• Ensure compliance with ethical AI guidelines and regulatory standards.

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.

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 (online or onsite) is designed for beginner to intermediate-level developers and designers who want to understand and create AI-powered personal assistants for various applications.

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

• Grasp the core principles behind AI-powered personal assistants.
• Learn how to integrate language models with smart assistants.
• Build and customize a personal assistant using AI frameworks and tools.
• Deploy personal assistants for real-world applications across different industries.

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 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 instructor-led, live training in Belgrade (online or onsite) is designed for intermediate-level financial professionals, risk analysts, and AI engineers who aim to develop and implement AI-driven solutions for financial automation and fraud detection.

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

• Grasp the role of AI in automating financial processes and detecting fraud.
• Construct AI models specifically for identifying fraudulent transactions.
• Apply machine learning techniques for real-time risk evaluation.
• Deploy AI-powered systems for continuous financial monitoring.

This instructor-led, live training in Belgrade (online or onsite) is designed for beginner to intermediate-level customer service professionals, chatbot developers, and automation teams looking to implement AI-driven solutions for customer support and service automation.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of AI-powered customer support.
• Create and integrate AI chatbots to handle customer queries effectively.
• Utilize NLP and machine learning to improve chatbot interactions.
• Deploy AI agents in real-world customer service applications.

This instructor-led, live training in Belgrade (online or onsite) is aimed at intermediate-level to advanced-level healthcare professionals and AI developers who wish to implement AI-driven healthcare solutions.

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

• Understand the role of AI agents in healthcare and diagnostics.
• Develop AI models for medical image analysis and predictive diagnostics.
• Integrate AI with electronic health records (EHR) and clinical workflows.
• Ensure compliance with healthcare regulations and ethical AI practices.

This instructor-led, live training in Belgrade (online or onsite) is aimed at beginner-level to intermediate-level AI developers and UI/UX designers who wish to learn how to build, optimize, and deploy AI-powered virtual assistants.

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

• Design effective conversational AI workflows and UI/UX interfaces.
• Implement AI-driven natural language processing (NLP) models.
• Integrate AI assistants with APIs and third-party platforms.
• Deploy and maintain AI assistants for real-world applications.

Mistral AI provides a robust suite of open-source and enterprise-ready AI models designed for language processing, multimodal applications, and agentic systems.

This instructor-led live training, available online or onsite, targets intermediate to advanced professionals aiming to create, deploy, and manage AI agents utilizing Mistral's Medium 3, Le Chat Enterprise, and Devstral models.

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

• Grasp the architecture and capabilities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
• Design and implement AI agents tailored for enterprise and developer scenarios using Mistral models.
• Incorporate coding systems, connectors, and enterprise data into agent workflows.
• Enhance performance, manage costs, and ensure compliance for agents powered by Mistral.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

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

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.

Google Antigravity serves as an agentic development environment for creating autonomous agents that can plan, reason, code, and act by leveraging the multimodal capabilities of Gemini 3.

This instructor-led live training, available online or onsite, targets advanced technical professionals seeking to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

After completing this training, participants will be equipped to:

• Create autonomous workflows that utilize Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analyzing tasks, writing code, and interacting with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability in complex environments.

Course Format

• Expert demonstrations paired with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.

Course Customization Options

• For teams requiring domain-specific agent behaviors or custom integrations, please reach out to us to tailor the program.

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.

This instructor-led, live training in Belgrade (online or onsite) is tailored for advanced professionals aiming to master the deployment and management of AI agents in production environments.

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

• Design and implement scalable AI deployment pipelines.
• Use tools like Docker and Kubernetes to containerize and orchestrate AI agents.
• Monitor and optimize AI agents in production environments.
• Implement CI/CD workflows for AI agent deployments.
• Ensure compliance with security and data governance requirements.

This instructor-led, live training Belgrade (online or onsite) is tailored for advanced-level AI professionals aiming to master reinforcement learning techniques and implement them to train AI agents for solving complex problems.

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

• Understand the core principles of reinforcement learning and Markov Decision Processes (MDPs).
• Design and implement RL algorithms such as Q-Learning, SARSA, and Deep Q-Networks (DQN).
• Utilize frameworks like OpenAI Gym and RL libraries for practical applications.
• Train AI agents to solve real-world, multi-step decision-making problems.
• Address challenges such as exploration-exploitation trade-offs and convergence in RL training.

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.

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.

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.

Vertex AI Agent Builder provides a no-code or low-code platform for constructing grounded agents that integrate generative models with Retrieval-Augmented Generation (RAG). This capability empowers teams to swiftly develop agents that leverage enterprise data and search functionalities to deliver precise, contextually aware responses.

This instructor-led, live training session, available in online or onsite formats, targets intermediate-level practitioners looking to design, configure, and deploy intelligent agents using Vertex AI Agent Builder and RAG methodologies.

Upon completing this training, participants will be able to:

• Design grounded agent workflows utilizing Agent Builder.
• Implement RAG pipelines incorporating search and vector storage solutions.
• Securely integrate enterprise data sources for retrieval purposes.
• Assess and refine agent behavior through testing and performance metrics.

Course Format

• Interactive lectures and discussions.
• Practical labs featuring Vertex AI Agent Builder and RAG components.
• Project-based exercises focused on building and refining agents.

Customization Options

• For inquiries regarding 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 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.

LLMs and autonomous agent frameworks like AutoGen and CrewAI are redefining how DevOps teams automate tasks such as change tracking, test generation, and alert triage by simulating human-like collaboration and decision-making.

This instructor-led, live training (online or onsite) is aimed at advanced-level engineers who wish to design and implement DevOps automation workflows powered by large language models (LLMs) and multi-agent systems.

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

• Integrate LLM-based agents into CI/CD workflows for smart automation.
• Automate test generation, commit analysis, and change summaries using agents.
• Coordinate multiple agents for triaging alerts, generating responses, and providing DevOps recommendations.
• Build secure and maintainable agent-powered workflows using open-source frameworks.

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) 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>

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.

Devstral is an open-source framework engineered to build and operate coding agents capable of interacting with codebases, developer utilities, and APIs to boost engineering productivity.

This instructor-led, live training (available online or onsite) targets intermediate to advanced ML engineers, developer-tooling teams, and SREs who aim to design, implement, and optimize coding agents using Devstral.

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

• Set up and configure Devstral for coding agent development.
• Design agentic workflows for exploring and modifying codebases.
• Integrate coding agents with developer tools and APIs.
• Implement best practices for secure and efficient agent deployment.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live-lab environment.

Customization Options

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

This instructor-led, live training in Belgrade (online or onsite) is designed for beginner-level professionals eager to understand how AI agents function and to create their own interactive chatbot systems.

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

• Grasp the fundamentals of AI agents and their practical applications.
• Investigate the core principles of natural language processing (NLP).
• Design conversational workflows for a chatbot.
• Construct a functional chatbot utilizing Python and associated tools.
• Deploy the chatbot to engage with real-world users.

This instructor-led live training in Belgrade (online or onsite) is designed for beginner-level professionals who wish to understand and create simple AI agents for real-world applications.

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

• Understand the fundamental concepts of AI agents.
• Identify different types of AI agents and their applications.
• Design and implement basic AI agents for practical tasks.
• Explore tools and frameworks for building AI agents.

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.

This advanced, hands-on seminar is tailored for software engineers, architects, technical leads, engineering managers, and delivery teams seeking to leverage Artificial Intelligence to expedite the entire software delivery lifecycle, spanning from initial requirements analysis to the creation of production-ready code.

This instructor-led, live training in Belgrade (online or onsite) targets beginner, intermediate, and advanced-level developers and technical professionals who wish to utilize Microsoft Azure to build, test, and deploy AI agents for business applications.

By the end of this training, participants will be able to: comprehend AI agent architecture on Azure, create and configure a functional agent, link agents to business knowledge sources, and evaluate and prepare agents for deployment.

This instructor-led, live training Belgrade (online or onsite) is designed for software developers and DevOps teams who want to use OpenAI Codex CLI to automate coding tasks, review code, and run multi-step workflows from the terminal.

By the end of this training, participants will be able to install and configure Codex CLI, execute tasks via natural language prompts, manage approval modes, and integrate with Git and CI pipelines.

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

This instructor-led, live training in Belgrade (online or onsite) is aimed at developers and leads who wish to use Cursor to build features faster, refactor across files, and manage team-wide AI workflows.

By the end of this training, participants will be able to navigate using Composer and agent mode, target code with context-aware chat, deploy team workspaces, and integrate Cursor with version control.

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate-level solution architects, AI engineers, developers, and technical product teams who wish to use Tencent ADP to build enterprise AI agents with RAG, workflow automation, and operational guardrails.

By the end of this training, participants will be able to: design ADP-based agents, create knowledge pipelines, orchestrate workflows and multi-agent patterns, and apply production guardrails.

This instructor-led, live training in Belgrade (online or onsite) is designed for beginner, intermediate, and advanced developers and technical practitioners who wish to use Google Cloud to build AI agents that automate tasks, utilize tools, and interact with business data.

By the end of this training, participants will be able to: explain AI agent concepts, build agents with 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 aimed at 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.

This instructor-led, live training in Belgrade (online or onsite) is aimed at developers who wish to use Hermes Agent to design and run secure local AI workflows for code assistance.

By the end of this training, participants will be able to: explain Hermes Agent concepts, set up secure local agent environments, build practical coding workflows, and apply safety and governance controls.

This instructor-led, live training in Belgrade (online or onsite) is aimed at developers and technical teams who wish to use Ollama and open models to build and run private agentic AI solutions on internal infrastructure.

By the end of this training, participants will be able to: install and configure Ollama, evaluate and run open models locally, create simple agentic and retrieval-based workflows, and apply security and governance controls for regulated environments.

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.

This instructor-led, live training in Belgrade (online or onsite) is designed for beginner, intermediate, and advanced AI professionals who want to use MCP to connect AI assistants with external tools, data, and enterprise services.

By the end of this training, participants will be able to explain MCP concepts, identify key architecture components, set up a basic integration, and apply security best practices.

This instructor-led, live training in Belgrade (online or onsite) is designed for beginner to intermediate developers and technical teams who want to use OpenAI APIs to build AI agents that can reason, utilize tools, and complete multi-step tasks.

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

This instructor-led, live training in Belgrade (online or onsite) targets intermediate to advanced developers and technical professionals who wish to use OpenClaw to build and operate practical AI agents that automate work through chat and tool integrations.

By the end of this training, participants will be able to install and configure OpenClaw, connect an LLM provider, use and adapt skills for automation, and apply basic security and operational guardrails.

This instructor-led, live training in Belgrade (online or onsite) is aimed at senior developers who wish to use Pi to build lightweight, customizable terminal agent workflows.

By the end of this training, participants will be able to install Pi, extend it with TypeScript skills, adapt workflows to team standards, and share extensions via npm.

This instructor-led, live training in Belgrade (online or onsite) is aimed at 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.

This instructor-led, live training in Belgrade (online or onsite) is aimed at developers who wish to use Windsurf to build features conversationally, execute terminal workflows inside the IDE, and refactor across the codebase.

By the end of this training, participants will be able to use Cascade for navigation, execute terminal commands inside the editor, leverage predictive edits, and customize Windsurf for proprietary stacks.