AI Agents Training in Leon

This instructor-led, live training in Leon (online or onsite) targets advanced 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 course in Leon (offered online or on-site) is designed for mid-level AI developers, security professionals, and compliance staff aiming to create and implement secure AI agents while managing ethical considerations and robustness.

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

• Identify security risks and ethical challenges associated with AI agent development.
• Apply security-first design principles to AI models.
• Employ adversarial robustness techniques to defend AI agents from attacks.
• Ensure adherence to ethical AI guidelines and regulatory frameworks.

This practical course in Leon walks you through the process of deploying agentic AI on resource-limited devices. Gain the expertise to build, optimize, and manage lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, ultimately boosting speed, privacy, and reliability.

This instructor-led, live training in Leon (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 live, instructor-led training in Leon (delivered online or on-site) targets developers and designers at beginner to intermediate levels who aim to understand and construct AI-driven personal assistants for a variety of use cases.

By the end of the program, participants will have the ability to:

• Comprehend the core principles underpinning AI-driven personal assistants.
• Learn how to effectively integrate language models with smart assistant interfaces.
• Build and customize a personal assistant using modern AI frameworks and tools.
• Implement personal assistants in real-world industry applications.

This instructor-led, live training in Leon (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 Leon (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 training in Leon is designed to help advanced professionals engineer and deploy multi-agent systems using Python. The curriculum covers agent coordination, reinforcement learning, and distributed computing utilizing frameworks such as Mesa and Ray, culminating in a practical capstone project.

This instructor-led live training (online or onsite) in Leon is tailored for intermediate-level financial professionals, risk analysts, and AI engineers seeking to develop and deploy AI-driven solutions for financial automation and fraud detection.

Upon completion, participants will be equipped to:

• Comprehend the strategic role of AI in financial automation and fraud identification.
• Develop AI models specifically tailored for detecting fraudulent transactions.
• Utilize machine learning capabilities for real-time risk assessment.
• Implement AI-powered systems for continuous financial monitoring.

This live, instructor-led training in Leon—delivered either online or onsite—targets customer service professionals, chatbot developers, and automation teams at beginner to intermediate levels who are eager to integrate AI-driven solutions into their support and service automation strategies.

Upon completion, participants will be able to:

• Comprehend the essentials of AI-powered customer support.
• Create and integrate AI chatbots for efficient customer query management.
• Utilize NLP and machine learning to improve the quality of chatbot interactions.
• Implement AI agents within real-world customer service applications.

This instructor-led, live training in Leon (online or onsite) targets intermediate to advanced-level healthcare professionals and AI developers looking to implement AI-driven healthcare solutions.

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

• Grasp the role of AI agents in healthcare and diagnostics.
• Create 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 live, instructor-led session in Leon, offered online or on-site, targets AI developers and UI/UX designers from beginner to intermediate levels who seek to learn how to construct, refine, and launch AI-powered virtual assistants.

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

• Create effective conversational AI workflows and UI/UX interfaces.
• Execute AI-driven natural language processing (NLP) models.
• Link AI assistants with APIs and third-party services.
• Oversee the deployment and upkeep of AI assistants in real-world settings.

This hands-on training in Leon is designed for intermediate to advanced professionals seeking to build, deploy, and manage AI agents. It focuses on leveraging Mistral Medium 3, Le Chat Enterprise, and Devstral for strong enterprise and developer applications, including the integration of connectors, RAG patterns, and compliance protocols.

This instructor-led live training in Leon provides a practical approach to Python implementation for autonomous AI agents. It explores modern SDKs like LangChain and AutoGen, empowering engineers to build, connect, and orchestrate complex agent workflows with confidence.

This live, instructor-led training in Leon focuses on practical Python techniques for developing autonomous agents. Key topics include agent loops, tool integration, memory management, orchestration, and safety mechanisms. It is specifically designed for ML engineers seeking to deploy robust, production-ready agent solutions.

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

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

• Design and implement scalable AI deployment pipelines.
• Utilize Docker and Kubernetes to containerize and orchestrate AI agents.
• Monitor and optimize AI agent performance in production.
• Implement CI/CD workflows for AI agent deployments.
• Ensure adherence to security and data governance requirements.

This live, instructor-led training in Leon (available online or onsite) is tailored for advanced AI professionals aiming to master reinforcement learning techniques and apply 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 Leon (online or onsite) is designed for 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 Leon (online or onsite) targets advanced-level AI professionals seeking to master the skills necessary to design, build, and deploy MAS that solve complex, real-world problems.

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

• Grasp the principles underlying 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 such as JADE to create scalable MAS solutions.
• Address challenges like scalability, trust, and emergent behavior in MAS.

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

Upon completing this training, participants will be able to:

• Grasp the core principles of Agentic AI within multi-agent settings.
• Create AI-driven agents capable of autonomous interaction.
• Utilize reinforcement learning to achieve adaptive AI behaviors.
• Enhance collaboration and manage competition among multiple agents.
• Apply Agentic AI solutions in robotics, gaming, and enterprise automation.

This instructor-led, live training in Leon (online or onsite) is designed for intermediate-level business analysts, RPA developers, and AI specialists looking to leverage AI agents for business process automation.

Upon completing this training, participants will be equipped to:

• Grasp the role of AI agents in automating business processes.
• Spot opportunities for automation within critical business areas.
• Create AI-powered solutions for customer support, finance, and supply chain workflows.
• Connect AI agents with existing RPA and business systems.
• Assess and refine AI automation strategies to boost efficiency.

This live, instructor-led training in Leon focuses on creating grounded agents using Vertex AI Agent Builder and RAG. Participants will learn to build pipelines, securely integrate enterprise data, and assess agent performance. This course is ideal for intermediate practitioners developing intelligent solutions.

This instructor-led, live training in Leon (online or onsite) is designed for intermediate-level game developers and AI enthusiasts aiming to effectively integrate AI agents into gaming applications.

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

• Grasp the role of AI agents in contemporary gaming.
• Construct decision-making systems utilizing decision trees and finite state machines.
• Execute pathfinding algorithms, such as A*, to enhance in-game navigation.
• Utilize reinforcement learning techniques to develop adaptive AI behaviors.
• Optimize AI performance for demanding real-time gaming environments.

This instructor-led, live training in Leon (online or onsite) is designed for advanced-level professionals seeking to leverage Agentic AI for decision-making in complex business and technical scenarios.

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

• Grasp the fundamental principles of autonomous decision-making in AI.
• Design and deploy AI agents that function with minimal human oversight.
• Incorporate Agentic AI into automation workflows and business systems.
• Enhance AI-driven decision processes for greater efficiency and scalability.
• Maintain compliance, security, and ethical standards in AI autonomy.

This instructor-led, live training in Leon (online or onsite) is aimed at intermediate-level professionals who wish to delve deeper into the design and development of 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.

Gain mastery over Devstral through this live training session held in Leon. The curriculum delves into system architecture, agentic workflow design, and tool integration. Tailored for advanced engineers, the course utilizes hands-on labs to construct coding agents that enhance both productivity and security in contemporary development environments.

This instructor-led live training in Leon, offered online or onsite, is designed for entry-level professionals interested in understanding the operations of AI agents and creating 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).
• Architect the conversational flow for a chatbot.
• Engineer a functional chatbot utilizing Python and associated tools.
• Deploy the chatbot to engage with actual users.

This live, instructor-led session in Leon (available online or onsite) is designed for entry-level professionals who want to comprehend and construct simple AI agents for practical applications.

By the conclusion of this session, participants will be equipped to:

• Understand the foundational principles of AI agents.
• Distinguish between various types of AI agents and their respective applications.
• Design and build basic AI agents for specific operational tasks.
• Review the tools and frameworks available for AI agent development.

This guided, live training in Leon (online or onsite) is aimed at 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 integrate 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 instructor-led, live training in Leon (online or onsite) is aimed at observability and SRE engineers who want to integrate LLMs and AI into their monitoring, alerting, and incident analysis workflows.

This advanced practical seminar is designed for software engineers, architects, technical leads, engineering managers, and delivery teams who want to understand how Artificial Intelligence can accelerate the full software delivery lifecycle, from requirements analysis to production-ready code.

This live, instructor-led training in Leon (online or onsite) is designed for developers and technical professionals at beginner, intermediate, and advanced levels who want to utilize Microsoft Azure to build, test, and deploy AI agents for business applications.

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

This instructor-led live training in Leon (available online or onsite) targets 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 Leon (online or onsite) is designed for 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 Leon (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 live, instructor-led session in Leon (online or onsite) is designed for software developers and AI engineers seeking to build, operate, and extend AI coding agents using DeepSeek Harness.

This live, instructor-led training for Leon (available online or on-site) is designed for intermediate-level solution architects, AI engineers, developers, and technical product teams aiming to utilize Tencent ADP to develop enterprise AI agents incorporating RAG, workflow automation, and operational guardrails.

By the end of this session, participants will be capable of: designing ADP-based agents, creating knowledge pipelines, orchestrating workflows and multi-agent patterns, and applying production-grade guardrails.

This live, instructor-led training in Leon, offered either online or on-site, is designed for developers and technical practitioners of all levels (beginner to advanced) who intend to leverage Google Cloud to create AI agents that can automate tasks, utilize tools, and interact with business data.

By the conclusion of this program, participants will be equipped to explain AI agent concepts, construct agents using Vertex AI, link agents to external tools and datasets, and deploy these agents for real-world business scenarios.

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

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

This instructor-led live training in Leon, offered online or onsite, targets developers who aim to utilize Hermes Agent to design and operate secure, local AI workflows for code assistance.

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

This instructor-led live training in Leon (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 Leon (online or onsite) is targeted 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 transports, and manage an internal tool registry.

This instructor-led live training in Leon (available online or on-site) is aimed at beginner-level, intermediate-level, or advanced-level AI professionals 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 architecture components, set up a basic integration, and apply security best practices.

This instructor-led, live training in Leon (online or onsite) is aimed at beginner to intermediate developers and technical teams who wish to use OpenAI APIs to build AI agents capable of reasoning, using tools, and completing 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 Leon (online or onsite) is designed for intermediate- to advanced-level developers and technical professionals who want to use OpenClaw to build and deploy practical AI agents that automate work via 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 Leon (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 meet team standards, and share extensions via npm.

This instructor-led live training in Leon (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.