AI Agents Training in Dobrogea Sud-Est

This instructor-led, live training in Dobrogea Sud-Est (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 Dobrogea Sud-Est (delivered online or onsite) targets intermediate-level AI developers, security specialists, and compliance officers looking to design and deploy secure AI agents that address ethical concerns and ensure robustness.

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

• Navigate the security risks and ethical challenges present in AI agent development.
• Embed security-first design principles within AI models.
• Implement adversarial robustness techniques to shield AI agents from attacks.
• Ensure adherence to ethical AI guidelines and regulatory standards.

This instructor-led, live training in Dobrogea Sud-Est (online or onsite) is aimed at intermediate-level to advanced-level AI developers, researchers, and multimedia engineers who wish to build AI agents capable of understanding and generating multi-modal content.

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

• Develop AI agents that process and integrate text, image, and speech data.
• Implement multi-modal models such as GPT-4 Vision and Whisper ASR.
• Optimize multi-modal AI pipelines for efficiency and accuracy.
• Deploy multi-modal AI agents in real-world applications.

This instructor-led, live training in Dobrogea Sud-Est (available online or on-site) targets advanced AI engineers, enterprise software developers, and business leaders aiming to customize and deploy LLM-based AI agents for enterprise solutions.

By the conclusion 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 Dobrogea Sud-Est (online or onsite) is aimed at advanced-level robotics engineers, AI researchers, and automation specialists who wish to develop AI-driven autonomous robotic systems for complex tasks and human-AI collaboration.

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

• Understand the role of AI agents in robotic decision-making and automation.
• Implement AI-driven navigation and obstacle avoidance.
• Develop human-AI collaborative robotic systems.
• Deploy AI-powered perception and control systems in robots.

This live, instructor-led training in Dobrogea Sud-Est, delivered online or on-site, is tailored for intermediate financial professionals, risk analysts, and AI engineers aiming to create and launch AI solutions for financial automation and fraud detection.

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

• Comprehend the impact of AI on financial automation and fraud detection.
• Construct AI models for the identification of fraudulent transactions.
• Apply machine learning techniques for real-time risk assessment.
• Roll out AI-enabled financial monitoring frameworks.

This live, instructor-led session in Dobrogea Sud-Est, delivered either online or on-site, caters to customer service specialists, chatbot developers, and automation teams ranging from beginner to intermediate levels who aim to adopt AI-driven solutions for support and service automation.

Upon completion, participants will be able to:

• Comprehend the essential elements of AI-powered customer support.
• Build and deploy AI chatbots for managing customer inquiries.
• Apply NLP and machine learning to enhance chatbot engagement.
• Roll out AI agents within actual customer service environments.

This instructor-led, live training in Dobrogea Sud-Est (online or onsite) is designed for intermediate to advanced-level healthcare professionals and AI developers who aim 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 Dobrogea Sud-Est (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.

This live, instructor-led session, delivered in Dobrogea Sud-Est (either online or on-site), is designed for advanced professionals looking to excel in the deployment and management of AI agents within production environments.

By the conclusion of this training, attendees will possess the ability to:

• Develop and execute scalable AI deployment pipelines.
• Utilize Docker and Kubernetes to handle the containerization and orchestration of AI agents.
• Monitor and enhance the performance of AI agents in live settings.
• Create CI/CD workflows for the deployment of AI agents.
• Maintain adherence to security standards and data governance mandates.

This instructor-led, live training in Dobrogea Sud-Est (online or onsite) is aimed at advanced-level AI professionals who wish to master reinforcement learning techniques and implement them for training AI agents in 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 Dobrogea Sud-Est (online or onsite) targets intermediate AI developers and automation experts aiming to integrate agentic capabilities into AI applications.

Upon completing this training, participants will be equipped to:

• Grasp the core principles of agentic AI and autonomous decision-making.
• Build goal-oriented AI agents using self-optimization methods.
• Integrate collaboration among multiple agents to tackle complex challenges.
• Improve interactions between AI and humans via personalized user experiences.
• Deploy agentic AI models for practical, real-world use.

Designed for advanced AI professionals seeking to master the art of designing, building, and deploying MAS to tackle complex, real-world challenges, this instructor-led live training is available in Dobrogea Sud-Est either online or onsite.

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

• Comprehend the fundamental principles underlying multi-agent system architectures.
• Execute strategies for communication, coordination, and decision-making within MAS.
• Utilize game theory to model agent interactions and resolve conflicts.
• Employ frameworks such as JADE to develop scalable MAS solutions.
• Manage challenges related to scalability, trust, and emergent behavior in MAS.

This instructor-led, live training in Dobrogea Sud-Est (online or onsite) is designed for advanced professionals aiming to develop and optimize multi-agent systems through Agentic AI frameworks.

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

• Understand the core principles of Agentic AI in multi-agent settings.
• 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 Dobrogea Sud-Est (online or onsite) is designed for intermediate-level business analysts, RPA developers, and AI professionals seeking to leverage AI agents for business process automation.

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

• Comprehend 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 instructor-led, live training in Dobrogea Sud-Est (online or onsite) is designed for 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.

This instructor-led, live training in Dobrogea Sud-Est (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for decision-making in complex business and technical scenarios.

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

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

This instructor-led, live training in Dobrogea Sud-Est (online or onsite) targets intermediate-level professionals eager to deepen their expertise in designing and developing autonomous agents for practical use cases.

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

• Grasp the foundational principles of autonomous agents.
• Investigate real-world applications of autonomous AI agents.
• Design, train, and deploy agents utilizing reinforcement learning techniques.
• Integrate agents into current systems to facilitate automation and decision-making processes.
• Navigate ethical considerations and challenges associated with deploying autonomous agents.

This instructor-led, live training in Dobrogea Sud-Est (delivered online or on-site) is designed for entry-level professionals seeking to understand the functionality of AI agents and develop their own interactive chatbot systems.

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

• Comprehend the basics of AI agents and their use cases.
• Investigate the principles of natural language processing (NLP).
• Structure conversational flows for a chatbot.
• Build a working chatbot using Python and related tools.
• Release the chatbot to interact with real users.

This instructor-led, live training in Dobrogea Sud-Est, offered online or onsite, is designed for entry-level professionals aiming to understand and build simple AI agents for practical applications.

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

• Grasp the essential concepts of AI agents.
• Distinguish between different types of AI agents and their uses.
• Create and deploy basic AI agents for real-world tasks.
• Explore the various tools and frameworks for AI agent construction.

This instructor-led, live training in Dobrogea Sud-Est (available online or onsite) targets beginner to intermediate-level developers and cloud practitioners who intend to use Alibaba Cloud to develop AI agents capable of automating tasks, answering queries, and integrating with business systems.

By the conclusion of this training, participants will understand the architecture of AI agents on Alibaba Cloud, construct a basic agent workflow, link an agent to enterprise knowledge bases and tools, and deploy and monitor the agent within a cloud environment.

This instructor-led, live training in Dobrogea Sud-Est (online or onsite) targets observability and SRE engineers looking to incorporate LLMs and AI into their monitoring, alerting, and incident analysis processes.

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

This instructor-led, live training in Dobrogea Sud-Est (online or onsite) is intended for developers and technical professionals at beginner, intermediate, or advanced levels who aim to leverage Microsoft Azure to build, test, and deploy AI agents for business applications.

Upon completion of this training, participants will be able to: understand AI agent architecture on Azure, create and configure a working agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.

Claude for Business Productivity and AI Agents is a two-day instructor-led training that teaches business professionals how to use Claude effectively to improve productivity, automate everyday tasks, and create AI-powered assistants without programming. Participants will learn prompt engineering, document and data processing, project organization, and how AI agents work. Through practical exercises and real-world business scenarios, they will gain the knowledge and confidence to design, build, and refine their own no-code AI agents using Claude.

Level

Beginner to Intermediate

Learning Objectives

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

• Understand the capabilities, limitations, and best practices for using Claude in a business environment.

• Write effective prompts using proven prompt engineering techniques.

• Use Claude to generate, summarize, analyze, and transform business documents and data.

• Create reusable Claude Projects to organize knowledge, instructions, and recurring tasks.

• Apply Claude to common business activities such as reporting, project management, document creation, research, and data organization.

• Explain how AI agents work and identify business processes that can benefit from AI-driven automation.

• Distinguish between prompts, AI assistants, workflows, and AI agents.

• Analyze the structure and key components of an AI agent.

• Design AI agents using a structured, no-code methodology.

• Use Claude's AI capabilities to create and refine business assistants and automated workflows.

• Apply best practices for testing, improving, and governing AI-generated solutions.

Format of the Course

• Interactive lectures and instructor demonstrations

• Guided discussions and best-practice recommendations

• Hands-on exercises using Claude

• Individual and group workshops

• Practical business scenarios based on real organizational use cases

Course Customization Options

This course can be customized to include organization-specific use cases, documents, workflows, and business processes. Practical exercises may be adapted to participants' roles, such as management, finance, operations, merchandising, administration, sales, customer service, or project management. Additional focus can also be placed on document automation, data analysis, AI agent design, or industry-specific applications.

Target Audience

This instructor-led, live training is intended for business professionals, managers, team leaders, executive assistants, project managers, operations specialists, and knowledge workers who want to use Claude to improve productivity, automate business processes, and understand how to create AI agents without programming.

This instructor-led live training in Dobrogea Sud-Est (available online or on-site) targets software developers and DevOps teams seeking to use OpenAI Codex CLI to automate coding tasks, conduct code reviews, and run multi-step workflows via the terminal.

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

This instructor-led, live training in Dobrogea Sud-Est (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.

This instructor-led, live training in Dobrogea Sud-Est (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 Dobrogea Sud-Est (available online or onsite) is designed for software developers and AI engineers who intend to utilize DeepSeek Harness for the construction, operation, and extension of AI coding agents.

This live, instructor-led training in Dobrogea Sud-Est (online or onsite) is designed for intermediate-level solution architects, AI engineers, developers, and technical product teams seeking to utilize Tencent ADP to build enterprise AI agents featuring RAG, workflow automation, and operational guardrails.

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

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

Upon completion, participants will be able to: explain AI agent concepts, construct agents using Vertex AI, integrate agents with external tools and data, and deploy agents for business applications.

This instructor-led live training in Dobrogea Sud-Est (online or onsite) is designed for developers and DevOps professionals who wish to utilize 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, utilize its 40+ built-in tools, and deploy it on various backends.

This instructor-led, live training in Dobrogea Sud-Est (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 enhance team productivity.

By the end of this training, participants will be able to: understand Hermes Agent fundamentals, set up and utilize core features, build practical workflows, and apply best operational practices.

This instructor-led, live training in Dobrogea Sud-Est (online or onsite) is tailored for developers aiming to use Hermes Agent to design and operate secure local AI workflows for code assistance.

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

This instructor-led, live training in Dobrogea Sud-Est (online or onsite) is designed for developers and technical teams who want to use Ollama and open models to create and operate 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, develop simple agentic and retrieval-based workflows, and implement security and governance controls for regulated environments.

This course provides a practical, hands-on approach to building local AI and LLM-powered applications using LangChain and CrawAI. Participants will investigate data analytics, machine learning, and model training techniques before progressing to LLM-based application development.

The course encompasses essential topics such as multi-model AI applications, no/low-code AI development, Retrieval-Augmented Generation (RAG), agentic AI, and AI automation with CrawAI. Participants will also learn to construct AI chatbots, AI-powered knowledge bases, and offline/local AI models to guarantee privacy and efficiency.

This instructor-led, live training in Dobrogea Sud-Est (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 between transport protocols, and maintain an internal tool registry.

This instructor-led live training in Dobrogea Sud-Est (online or onsite) is designed for beginner, intermediate, or advanced-level 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 Dobrogea Sud-Est (online or onsite) is designed for beginner to intermediate developers and technical teams who want to utilize OpenAI APIs to build AI agents capable of reasoning, tool usage, and completing multi-step tasks.

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

This instructor-led, live training in Dobrogea Sud-Est (online or onsite) targets intermediate-level to advanced developers and technical professionals who wish to use OpenClaw to build and run 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, utilize and adapt skills for automation, and apply fundamental security and operational guardrails.

This instructor-led live training in Dobrogea Sud-Est (online or onsite) targets 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 Dobrogea Sud-Est (online or onsite) targets 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 utilize the tool effectively, apply it to practical coding tasks, and adopt safe team workflows.