Agentic AI Training in Tlalnepantla de Baz

This live training in Tlalnepantla de Baz delves into the way agentic AI is redefining organizational workflows, talent strategies, and job architecture. Tailored for intermediate professionals, the course covers autonomous decision-making, enterprise readiness, and governance frameworks to foster responsible and compliant AI adoption.

This instructor-led bootcamp in Tlalnepantla de Baz provides a practical pathway for building autonomous AI agents using Python. Participants will complete five progressive projects that cover design patterns, API orchestration, and multi-agent workflows, bridging the gap between theory and real-world deployment.

This practical course in Tlalnepantla de Baz 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 live, instructor-led training in Tlalnepantla de Baz provides an introduction to agentic AI, addressing prompt engineering, design patterns, and responsible implementation. Learners will discover how to create straightforward agent workflows using Python, integrate external tools, and apply safety measures to build autonomous systems that are effective, secure, and scalable.

This live, instructor-led training in Tlalnepantla de Baz guides intermediate professionals through designing and scaling agentic AI for business automation. Participants will learn to map workflows, integrate tools, and build practical use cases in customer service, supply chain, and marketing to ensure measurable impact.

This live training in Tlalnepantla de Baz 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 training in Tlalnepantla de Baz focuses on reinforcement learning and decision-making for agentic AI. Learners will implement DQN, PPO, and A3C using Python, construct environment models with OpenAI Gym, and apply these techniques to robotics and planning systems to achieve adaptive behavior in real-world settings.

This live training in Tlalnepantla de Baz empowers advanced professionals to scale and operationalize agentic AI systems in production. It addresses MLOps, observability, and cost control, enabling the creation of resilient, observable, and cost-optimized pipelines for large-scale deployments.

This instructor-led training in Tlalnepantla de Baz focuses on governance, identity management, and red-teaming for agentic AI systems. Advanced practitioners will learn to design secure deployments, implement least-privilege access controls, and conduct adversarial testing to mitigate real-world threats in production environments.

This instructor-led live training in Tlalnepantla de Baz 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 Tlalnepantla de Baz 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 Tlalnepantla de Baz (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 Tlalnepantla de Baz (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 Tlalnepantla de Baz (online or onsite) is designed for advanced-level professionals who want to leverage Agentic AI for enterprise-scale automation and strategic AI adoption.

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

• Understand the role of Agentic AI in enterprise applications.
• Integrate autonomous AI agents with enterprise systems.
• Optimize AI-driven workflows for scalability and efficiency.
• Ensure compliance, security, and governance in AI automation.
• Develop AI-driven business strategies for digital transformation.

This instructor-led, live training in Tlalnepantla de Baz (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 Tlalnepantla de Baz (online or onsite) is designed for AI engineers, ML researchers, and developers at an intermediate level who wish to build and implement Agentic AI systems in real-world applications.

Upon completing this training, participants will be able to:

• Grasp the fundamental principles of Agentic AI systems.
• Develop AI agents capable of autonomous reasoning and action.
• Integrate Agentic AI with APIs and third-party services.
• Optimize multi-agent interactions to handle complex tasks.
• Address ethical, security, and scalability challenges inherent in Agentic AI.

This instructor-led, live training in Tlalnepantla de Baz (online or onsite) is designed for beginners who wish to understand the fundamental principles of Agentic AI, its capabilities, and its potential impact on industries.

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

• Understand the core principles of Agentic AI.
• Differentiate between traditional AI and autonomous AI agents.
• Explore real-world applications of Agentic AI in various industries.
• Assess the benefits and challenges of deploying autonomous AI systems.
• Analyze the ethical and security considerations of Agentic AI.

This five-day course in Tlalnepantla de Baz empowers finance professionals with skills in advanced analytics, AI-assisted Python, and agentic AI. Participants will learn to construct intelligent dashboards, optimize GL operations, and design autonomous workflows for financial analysis, reporting, and strategic decision support.

This one-day course provides software engineers, technical leads and development teams with a practical framework for working effectively with AI coding agents in real-world software projects. Rather than focusing on prompting techniques alone, the course explores the complete agent ecosystem, including context engineering, reusable workflows, MCP (Model Context Protocol) integrations, feedback loops, security and organisational adoption.

AI agents are transitioning from research prototypes to production systems that operate autonomously across text, image, speech, and tool-driven workflows, thereby raising the standards for engineering rigor, adversarial robustness, and regulatory accountability. This instructor-led training guides advanced practitioners through the entire agent lifecycle, covering the architecture of single and multi-agent systems, the integration of multi-modal perception, and the orchestration of coordinated behaviors using modern frameworks. Through hands-on Python labs, participants progressively build a production-grade multi-agent system, which they then stress-test employing adversarial techniques and the Adversarial Robustness Toolbox. The course concludes with alignment to NIST AI RMF, ISO/IEC 42001, the EU AI Act, and GDPR, alongside secure deployment, monitoring, and incident response strategies, ensuring participants can deliver agents that are capable, defensible, and compliant.

This guided, live training in Tlalnepantla de Baz (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 live, instructor-led training in Tlalnepantla de Baz is targeted at intermediate-level developers aiming to design, create, and test AI agents using the Claude API and the Agent SDK.

Upon completion, participants will be capable of:

• Utilizing the Messages API with system prompts, structured outputs, and streaming
• Defining tools and implementing a dependable tool-use cycle
• Connecting agents to external systems via MCP servers
• Building and operating agents with the Claude Agent SDK, including permission settings and subagents
• Lowering costs and latency through prompt caching and strategic context handling
• Testing, logging, and monitoring agent behavior using a compact evaluation set

Claude Cowork goes beyond simple Q&A by taking ownership of complete workflows, including research, document creation, and file management. This course focuses on best practices for crafting effective briefs, validating execution plans, and auditing final outputs. Participants will delegate three real-world scenarios and configure an automated scheduled task.

This live, instructor-led training in Tlalnepantla de Baz is designed for knowledge workers, assistants, and project or department leads seeking to delegate end-to-end tasks to Claude rather than managing them through iterative chat.

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

• Distinguish between conversational chat and delegated workflows in Cowork
• Draft precise briefs that define objectives, source materials, constraints, and acceptance criteria
• Generate documents, spreadsheets, and presentations directly from source folders
• Delegate comprehensive research projects from initial inquiry to final reporting
• Leverage plugins, skills, and connectors within the Cowork environment
• Establish approval checkpoints, backup protocols, and secure folder access permissions

Course Format

• Duration: 1 day (7 hours)
• Interactive sessions featuring expert guidance, collaborative discussion, and hands-on exercises tailored to participants' specific use cases
• Day 1 Outcome: Each participant will have successfully delegated three practical tasks to Cowork, verified the results, and established a scheduled task.

Course Customization

• For customized training tailored to your specific needs, please contact us to discuss arrangements.

Agents enable teams to address knowledge-based inquiries and assist with document workflows in a controlled manner. This two-day curriculum covers Agent Builder on Day 1 and Copilot Studio, focusing on approval steps and testing, on Day 2. Participants will finish the course with a tested knowledge agent and a draft Studio agent.

This live, instructor-led session in Tlalnepantla de Baz is intended for key users, AI champions, and department leaders who wish to create custom Copilot agents for knowledge questions and document processes.

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

• Assess when Copilot Chat is adequate and when a custom agent is more appropriate
• Set up a knowledge agent in Agent Builder, specifying the target audience, knowledge sources, and constraints
• Understand the structure of Copilot Studio agents and create an initial agent
• Break down document processes into reviewable steps that include human oversight
• Test agents using specific test cases and acceptance criteria
• Classify roles, permissions, licenses, and operational requirements

Course Format

• Duration: 2 days (7 hours per day)
• Interactive training with a trainer, including discussions and hands-on exercises based on participants' own use cases
• Day 1 Outcome: Each participant will have a tested knowledge agent and a tool map for their work cases.
• Day 2 Outcome: Each participant will have a draft Studio agent with approval features, two tested process cases, and a roadmap for their use cases.

Customization Options

• Contact us to request a customized version of this training.

Create an AI assistant that leverages your company's internal documents to provide accurate answers regarding policies, manuals, and workflows, complete with source citations. This course guides you through the process of optimizing your documentation, selecting the ideal platform, and developing a code-free agent while measuring performance via a structured question catalog. Participants will also develop a comprehensive maintenance strategy.

This live, instructor-led training in Tlalnepantla de Baz is designed for: cross-functional teams, subject matter experts, and key users seeking to enable Q&A capabilities based on their own organizational policies and manuals.

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

• Grasp the fundamentals of Retrieval-Augmented Generation (RAG) in simple terms and identify the inherent limitations of AI-driven responses
• Optimize document preparation to ensure high accuracy in generated answers
• Select the most suitable platform for deploying a knowledge agent
• Develop and deploy a knowledge agent using a no-code approach
• Validate response quality using a question catalog and verify source attribution
• Establish operational protocols for maintenance, role definitions, and content currency

Course Format

• Duration: 1 day (7 hours)
• Interactive sessions featuring live trainer guidance, discussions, and hands-on exercises applied to participants' specific use cases
• Day 1 Outcome: Each participant will possess a shared knowledge agent built on their own documents, a quantified accuracy rate, and a defined maintenance plan.

Customization Options

• Please reach out to us to discuss arranging a customized training experience tailored to this course.

Langdock consolidates multiple AI models, intelligent assistants, organizational knowledge, and automated workflows into a unified platform for the enterprise. This course focuses on practical daily operations, including conversational interactions, the creation and distribution of assistants, integration of knowledge sources, and the configuration of workflows featuring human oversight. Additionally, it addresses governance policies regarding data management, role definitions, and deployment strategies.

Designed for departments and key stakeholders, this instructor-led live session in Tlalnepantla de Baz supports organizations currently utilizing or implementing Langdock as their central AI hub.

Upon completion, participants will be equipped to:

• Proficiently manage Langdock’s core features, including chat, model selection, assistants, knowledge bases, and workflows
• Select the optimal model for specific operational needs
• Develop and share team-oriented assistants tailored with custom instructions and company-specific knowledge
• Integrate SharePoint, OneDrive, and other data sources to establish a comprehensive knowledge base
• Configure straightforward workflows that incorporate human approval steps
• Establish clear internal policies for data handling, user roles, and approval processes

Course Structure

• Duration: Two full days (seven hours per day), with an option for four half-day online sessions
• Interactive learning experience featuring live instruction, collaborative discussions, and hands-on exercises focused on participants' specific use cases
• Day 1 Deliverable: Participants will create a template, establish a knowledge folder, and deploy a shared assistant for their respective departments
• Day 2 Deliverable: Participants will implement a functional workflow with approval gates, connect a knowledge source, and formulate a 30-60 day implementation plan

Customization Options

• For tailored training requirements, please reach out to us to coordinate a customized session.

This live, instructor-led training in Tlalnepantla de Baz is tailored for intermediate-level professionals seeking to automate business processes and create their first AI agent with Make.

By the conclusion of this course, participants will be capable of:

• Designing no-code workflows in Make using triggers and webhooks.
• Linking an AI agent to their data streams within a flow.
• Automating a real-world process end-to-end, including error handling and monitoring.

Personal AI agents are capable of managing email, scheduling appointments, generating briefings, and executing routines like a morning summary. This one-day course demonstrates how to configure such an agent using personalized context, connectors, and distinct protocols for approvals and data security. Upon completion, participants will possess a functional agent alongside two active routines.

This live, instructor-led training in Tlalnepantla de Baz is designed for: Professionals, administrative assistants, project managers, and self-employed individuals seeking to implement a personal AI agent for their specific workflow.

By the conclusion of this training, participants will have the ability to:

• Distinguish between tasks a personal AI agent can automate and those it cannot handle
• Construct a personal context incorporating profile details, specific instructions, and notes
• Streamline email and calendar management with AI while retaining full oversight
• Prepare for meetings and interactions through automatically generated briefings
• Implement routines, such as a daily morning overview and a weekly review
• Establish approval workflows, data protection measures, and operational limits for the agent

Course Format

• Duration: 1 day (7 hours)
• Interactive sessions featuring a trainer, group discussions, and practical exercises tailored to participants' real-world scenarios
• Day 1 Outcome: Each participant will have a configured personal agent, including a profile, connected email and calendar integrations, and two active routines.

Customization Options

• For tailored training on this course, please contact us to discuss arrangements.

This live, instructor-led training in Tlalnepantla de Baz is designed for managers, administrative assistants, and knowledge workers.

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

• Manage email and calendar tasks efficiently with AI assistance.
• Accelerate the preparation of meetings and research activities.
• Configure a personalized assistant tailored to individual preferences.
• Safeguard personal and corporate data security.