AI Agents Training in Sofia

This instructor-led, live training in Sofia (online or onsite) is designed for advanced-level AI engineers, robotics developers, and automation specialists who aim to utilize DeepSeek to construct intelligent AI agents and autonomous systems.

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

• Gaining a comprehensive understanding of the architecture and capabilities of DeepSeek AI models.
• Integrating DeepSeek into AI agents to facilitate decision-making and automation.
• Applying reinforcement learning techniques to train autonomous systems.
• Deploying AI-driven autonomous agents in real-world environments.

Autonomous AI agents are increasingly becoming integral to decision-making processes across various industries, including defense, healthcare, finance, and infrastructure. As these systems become more independent, there is a pressing need for strong ethical frameworks, governance structures, and regulatory oversight to direct their design and implementation.

This instructor-led live training, available both online and onsite, is designed for advanced professionals interested in exploring the ethical, societal, and regulatory challenges associated with deploying autonomous AI agents in real-world settings.

Upon completing this training, participants will be able to:

• Examine the ethical risks and moral dilemmas presented by autonomous AI agents.
• Assess governance frameworks and regulatory models pertinent to high-impact AI deployment.
• Evaluate accountability, explainability, and transparency mechanisms within autonomous systems.
• Formulate strategies to align AI agent behavior with legal, ethical, and societal standards.

Course Format

• Interactive lectures and discussions.
• Case studies and role-playing simulations.
• Practical analysis of governance models and ethical frameworks.

Customization Options

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

AI-driven automation merges the flexibility of no-code platforms with the intelligence of large language models and autonomous agents to create scalable, smart systems.

This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals looking to design, build, and optimize automation pipelines enhanced with AI decision-making, orchestration, and self-execution capabilities.

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

• Design no-code automation workflows enhanced by AI interpretation and responses.
• Use prompt chaining, webhook triggers, and APIs to build scalable logic flows.
• Create intelligent apps that connect services and interpret data autonomously.
• Understand, design, and deploy AI agents capable of goal-oriented action planning and execution.

Course Format

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

Customization Options

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

This instructor-led, live training in Sofia (online or onsite) is tailored for intermediate-level AI developers, security specialists, and compliance officers who wish to design and deploy 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.

Edge & Lightweight Agents is a hands-on course designed for deploying agentic AI workloads on devices with limited resources. Learners will acquire the skills to construct, optimize, and oversee lightweight agents capable of performing local reasoning and inference, thereby enhancing speed, privacy, and reliability within distributed systems. The curriculum highlights performance tuning, low-latency design strategies, and the integration of hardware and software.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level professionals aiming to implement and optimize on-device agentic systems using Python and edge AI frameworks.

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

• Understanding the architecture and challenges associated with running agentic AI on edge devices.
• Designing lightweight agent loops that are suitable for constrained environments.
• Implementing local inference using TensorFlow Lite, PyTorch Mobile, and ONNX.
• Integrating agents with sensors, actuators, and IoT platforms.
• Optimizing performance, energy consumption, and latency for real-time operations.

Format of the Course

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

This instructor-led, live training in Sofia (online or on-site) is designed for intermediate to advanced AI developers, researchers, and multimedia engineers who want to create AI agents capable of understanding and producing multi-modal content.

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

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

This instructor-led, live training in Sofia (online or onsite) is designed for developers and designers at beginner to intermediate levels who want to understand and build AI-powered personal assistants for various applications.

Upon completing this training, participants will be able to:

• Comprehend the fundamental principles of AI-driven personal assistants.
• Master the basics of integrating language models with smart assistants.
• Construct and tailor a personal assistant using AI frameworks and tools.
• Deploy personal assistants for practical applications across diverse industries.

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

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

• Comprehend the architecture and functionalities of open-source LLMs.
• Customize and fine-tune LLMs to address specific enterprise requirements.
• Deploy AI agents utilizing LangChain and Hugging Face.
• Seamlessly integrate LLM-powered agents into existing business processes.

This instructor-led, live training in Sofia (online or onsite) is designed for advanced robotics engineers, AI researchers, and automation specialists who aim to develop 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 processes.
• Implement AI-driven navigation and obstacle avoidance mechanisms.
• Develop robotic systems that support effective human-AI collaboration.
• Deploy AI-powered perception and control systems within robotic platforms.

This course delves into the design, coordination, and implementation of multi-agent systems (MAS) using Python. Participants will gain insights into constructing agents that communicate, collaborate, and adapt to achieve shared objectives within complex, dynamic environments.

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

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

• Comprehend the architecture and fundamental principles of multi-agent systems.
• Develop agents capable of communication, coordination, and negotiation.
• Implement distributed environments for agent interactions.
• Apply reinforcement learning and planning techniques in multi-agent contexts.
• Simulate cooperative and competitive agent behaviors.
• Design hybrid workflows that integrate humans and intelligent agents.

Format of the Course

• Instructor-led lectures and live demonstrations.
• Hands-on exercises using open-source agent frameworks.
• Applied group project simulating a multi-agent scenario.

Course Customization Options

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

This instructor-led, live training in Sofia (online or on-site) targets intermediate-level financial professionals, risk analysts, and AI engineers who aim to develop and deploy AI-driven solutions for financial automation and fraud detection.

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

• Grasp the role of AI in financial automation and fraud detection.
• Construct AI models for identifying fraudulent transactions.
• Utilize machine learning for real-time risk assessment.
• Deploy AI-powered financial monitoring systems.

This instructor-led, live training in Sofia (online or on-site) is tailored for beginner to intermediate-level customer service professionals, chatbot developers, and automation teams who wish 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.

This instructor-led, live training in Sofia (online or onsite) is designed for healthcare professionals and AI developers at an intermediate to advanced level who want 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 Sofia (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 offers a robust suite of open-source and enterprise-grade AI models designed for language, multimodal, and agentic applications.

This instructor-led training, available online or onsite, is tailored for intermediate to advanced professionals seeking to construct, deploy, and manage AI agents using Mistral’s Medium 3, Le Chat Enterprise, and Devstral models.

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

• Grasp the architecture and functionalities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
• Design and implement AI agents tailored for enterprise and developer scenarios using Mistral models.
• Seamlessly integrate coding systems, connectors, and enterprise data into agent workflows.
• Optimize the performance, cost efficiency, and compliance of Mistral-powered agents.

Course Format

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

Customization Options

• For customized training requests, please contact us to arrange a session.

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

Delivered by an instructor in either online or onsite format, this training is designed for intermediate-level backend, platform, and ML engineers aiming to implement and orchestrate autonomous agents using Python tooling and APIs.

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

• Configure Python-based environments tailored for agentic systems.
• Utilize leading agent SDKs, including LangChain and AutoGen, to develop functional agents.
• Integrate tools and APIs to enhance agent capabilities.
• Orchestrate multi-agent workflows and establish communication patterns.
• Implement best practices for debugging, testing, and maintaining codebases related to agents.

Course Format

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

Customization Options

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

Google Antigravity is an agentic development environment designed to build autonomous agents capable of planning, reasoning, coding, and acting through Gemini 3’s multimodal capabilities.

This instructor-led, live training (online or onsite) is aimed at advanced-level technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

Upon finishing this training, participants will be prepared to:

• Build autonomous workflows that use Gemini 3 for reasoning, planning, and execution.
• Develop agents in Antigravity that can analyze tasks, write code, and interact with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimize agent behavior, safety, and reliability in complex environments.

Format of the Course

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

Course Customization Options

• If your team requires domain-specific agent behaviors or custom integrations, please contact us to tailor the program.

This course provides practical engineering methodologies for designing, building, testing, and deploying autonomous (agentic) systems using Python. It explores key topics such as the agent loop, tool integrations, memory and state management, orchestration patterns, safety mechanisms, and considerations for production environments.

Offered as an instructor-led live training session (available online or on-site), this program is designed for intermediate to advanced ML engineers, AI developers, and software engineers seeking to construct robust, production-grade autonomous agents using Python.

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

• Designing and implementing agent loops and decision-making workflows.
• Integrating external tools and APIs to enhance agent functionalities.
• Developing short-term and long-term memory structures for agents.
• Coordinating multi-step orchestrations and ensuring agent composability.
• Applying best practices for safety, access control, and observability in deployed agents.

Course Format

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

Customization Options

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

This guided, live training in Sofia (online or on-site) targets advanced professionals aiming to master the methods for deploying and managing AI agents in production settings.

Upon completing this training, participants will be capable of:

• Designing and executing scalable AI deployment pipelines.
• Utilizing tools such as Docker and Kubernetes to containerize and orchestrate AI agents.
• Monitoring and optimizing AI agents within production environments.
• Establishing CI/CD workflows for AI agent deployments.
• Ensuring adherence to security and data governance standards.

This instructor-led, live training in Sofia (online or onsite) is designed for advanced AI professionals aiming to master reinforcement learning techniques and apply them to train AI agents for solving complex problems.

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

• Grasp the foundational principles of reinforcement learning and Markov Decision Processes (MDPs).
• Design and implement RL algorithms including Q-Learning, SARSA, and Deep Q-Networks (DQN).
• Leverage frameworks such as OpenAI Gym and specialized RL libraries for practical use.
• Train AI agents to tackle real-world, multi-step decision-making problems.
• Address key challenges like the exploration-exploitation trade-off and convergence issues in RL training.

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

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

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

This guided, live course in Sofia (online or on-site) is designed for experienced AI professionals seeking to master the capabilities required to design, build, and deploy MAS that address complex, real-world problems.

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

• Comprehend the core concepts of multi-agent system architectures.
• Implement techniques for interaction, alignment, and choice-making in MAS.
• Apply game theory to model agent exchanges and settle disputes.
• Utilize tools such as JADE to develop expandable MAS solutions.
• Tackle issues like expandability, reliability, and spontaneous behavior in MAS.

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

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

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

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

Upon completing this training, participants will be able to:

• Grasp the role of AI agents in automating business processes.
• Identify automation opportunities within 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 enhanced efficiency.

The Vertex AI Agent Builder provides a no-code and low-code platform designed for constructing grounded agents. By integrating generative models with retrieval-augmented generation (RAG), it enables teams to quickly develop agents that leverage enterprise data and search capabilities to deliver precise, context-sensitive responses.

This instructor-led training, available either online or onsite, targets intermediate professionals aiming to design, configure, and deploy intelligent agents utilizing Vertex AI Agent Builder and RAG architectures.

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

• Construct grounded agent workflows utilizing Agent Builder.
• Develop RAG pipelines incorporating search and vector storage solutions.
• Securely integrate enterprise data sources for effective retrieval.
• Assess and refine agent performance through testing and key metrics.

Course Format

• Interactive lectures paired with group discussions.
• Practical laboratory sessions focused on Vertex AI Agent Builder and RAG components.
• Project-based assignments aimed at building and optimizing agents.

Customization Opportunities

• For tailored training requirements, please reach out to us to discuss arrangements.

This instructor-led, live training in Sofia (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.

Large Language Models (LLMs) and autonomous agent frameworks such as AutoGen and CrewAI are transforming the way DevOps teams automate tasks like change tracking, test generation, and alert triage by emulating human-like collaboration and decision-making.

This instructor-led live training (available online or onsite) is designed for advanced-level engineers who want 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 to enable smart automation.
• Automate test generation, commit analysis, and change summaries using agents.
• Coordinate multiple agents to triage alerts, generate responses, and provide DevOps recommendations.
• Build secure and maintainable agent-powered workflows using open-source frameworks.

Format of the Course

• Interactive lecture and discussion.
• Extensive 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 Sofia (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for decision-making in complex business and technical scenarios.

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

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

This instructor-led live training in Sofia (online or onsite) is designed for intermediate-level professionals who want to deepen their skills in designing and developing autonomous agents for practical applications.

By the end 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 designed for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level ML engineers, developer-tooling teams, and SREs who wish to design, implement, and optimize coding agents using Devstral.

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

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

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 Sofia (online or on-site) is designed for beginner-level professionals who wish to understand how AI agents work and build their own interactive chatbot systems.

Upon completing this training, participants will be capable of:

• Grasping the fundamentals of AI agents and their various uses.
• Investigating the core principles of natural language processing (NLP).
• Designing a conversational flow for a chatbot.
• Developing a functional chatbot using Python and associated tools.
• Deploying the chatbot to engage with actual users.

This instructor-led, live training in Sofia (online or onsite) is aimed at 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 Sofia (online or onsite) targets beginner to intermediate developers and cloud practitioners who intend to utilize Alibaba Cloud to build AI agents capable of automating tasks, answering queries, and integrating with business systems.

By the end of this training, participants will be able to: comprehend 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 advanced, hands-on seminar is tailored for software engineers, architects, technical leads, engineering managers, and delivery teams aiming to grasp how Artificial Intelligence can expedite the entire software delivery lifecycle, spanning from requirements analysis to production-ready code.

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

By the end 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.

This instructor-led live training, held Sofia (online or onsite), targets software developers and DevOps teams aiming to leverage OpenAI Codex CLI for automating coding tasks, reviewing code, and executing 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 Sofia (online or onsite) targets developers who want to use GitHub Copilot Agent Mode to autonomously build features, execute tests, and handle 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 Sofia (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 Sofia (online or onsite) is aimed at 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 Sofia (available online or on-site) is designed for beginner, intermediate, and advanced developers and technical practitioners who intend to use Google Cloud to build AI agents that can 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 Sofia (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 Sofia (available online or on-site) is designed for business users, operations teams, and technical professionals who intend to use Hermes Agent to automate work, create reusable AI-driven processes, and boost team productivity.

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

This instructor-led, live training in Sofia (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 Sofia (online or onsite) is designed for 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 Sofia (online or onsite) is designed for 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 Sofia (online or onsite) is designed for AI professionals at the beginner, intermediate, or advanced levels who wish 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 architectural components, set up a basic integration, and apply security best practices.

This instructor-led, live training in Sofia (online or onsite) is aimed at beginner-level to intermediate-level developers and technical teams who wish to use OpenAI APIs to build AI agents that can reason, use tools, and complete multi-step tasks.

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

This instructor-led, live training in Sofia (online or onsite) is designed for intermediate to advanced-level developers and technical professionals who want 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 Sofia (online or onsite) targets senior developers who want to leverage 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 Sofia (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 utilize the tool effectively, apply it to practical coding tasks, and adopt secure team workflows.

This instructor-led, live training in Sofia (online or onsite) targets developers interested in using Windsurf for conversational feature creation, terminal workflow execution within the IDE, and codebase refactoring.

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