Natural Language Processing (NLP) Training in Queretaro

This instructor-led live training in Queretaro empowers finance practitioners and IT staff with the capabilities to implement Ollama locally. Participants will acquire the expertise to deploy, configure, and integrate large language models into secure financial workflows, adhering to compliance and automation best practices.

This live training in Queretaro empowers healthcare practitioners and IT teams to deploy Ollama for local LLMs. Participants will learn to integrate AI into clinical workflows, customize models for specific tasks, and maintain strict adherence to data privacy and regulatory compliance within secure healthcare environments.

This hands-on training in Queretaro 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 live training in Queretaro focuses on embedding Mistral conversational assistants into enterprise workflows. Participants will gain the skills to connect SaaS tools, apply retrieval-augmented generation, and design effective UX patterns for both customer-facing and internal chat interfaces.

This instructor-led, live training in Queretaro enables beginners to apply Claude AI to customer support and service operations. Participants will learn to automate triage, draft tone-consistent responses, and integrate AI into existing workflows through practical, hands-on exercises.

This live Mistral Responsible AI training in Queretaro is designed for compliance and security leaders. You will gain mastery over privacy-preserving methods, data residency tactics, and enterprise controls like RBAC and SSO, ensuring a secure and compliant AI deployment strategy.

This live training on Claude AI in Queretaro empowers professionals to utilize the platform for data analysis and BI tasks. The curriculum covers exploratory data analysis, SQL generation, and dashboard design through natural language prompting, with the goal of streamlining workflows and enhancing the extraction of insights from business data.

Master the art of building multimodal applications with Mistral models, with a dedicated focus on OCR, document intelligence, and vision-text search. This practical training covers pipeline implementation, NLP integration, and enterprise-grade architecture, delivered either online or in Queretaro.

This instructor-led, live training Queretaro (online or in-person) is designed for intermediate data scientists and developers aiming to apply NLP techniques using Python in Google Colab.

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

• Grasp the core concepts of natural language processing.
  
• Preprocess and clean text data for NLP tasks.
  
• Conduct sentiment analysis using NLTK and SpaCy libraries.
  
• Utilize Google Colab for text data processing, fostering scalable and collaborative development.
  

This instructor-led, live training in Queretaro (online or onsite) is designed for intermediate-level researchers, analysts, and knowledge workers aiming to leverage Claude AI to process large volumes of data, synthesize information, and automate research tasks.

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

• Utilize Claude AI for conducting literature reviews and synthesizing research.
• Summarize reports, research papers, and long-form documents.
• Extract key insights and trends from both structured and unstructured data.
• Integrate Claude AI into research and knowledge management workflows.

This instructor-led training in Queretaro is tailored for ML engineers aiming to master the self-hosting and fine-tuning of Devstral and Mistral models. Participants will learn practical governance, monitoring, and compliance techniques to deploy open-source AI with confidence in production environments.

This instructor-led, live training in Queretaro (online or onsite) is aimed at beginner-level to intermediate-level content creators, writers, and marketers who want to leverage Claude AI for content generation, editing, and summarization to enhance blogs, reports, and marketing materials.

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

• Use Claude AI for content brainstorming and idea expansion.
• Enhance writing with AI-assisted editing and proofreading.
• Generate summaries for long-form content and reports.
• Automate marketing copy creation for different platforms.

This instructor-led, live training in Queretaro (online or onsite) targets advanced professionals seeking to fine-tune and customize AI models on Ollama for enhanced performance and domain-specific applications.

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

• Establish an efficient environment for fine-tuning AI models on Ollama.
• Prepare datasets for supervised fine-tuning and reinforcement learning.
• Optimize AI models for enhanced performance, accuracy, and efficiency.
• Deploy customized models within production environments.
• Assess model improvements and verify robustness.

Gain mastery over cost-efficient Mistral LLM architectures through this comprehensive 14-hour live training held in Queretaro. This session equips you with the skills to deploy, fine-tune, and scale Mistral Medium 3, achieving peak throughput while minimizing expenses. You will apply key strategies such as batching, quantization, and optimized serving techniques to manage complex enterprise workloads effectively.

This instructor-led, live training in Queretaro (online or onsite) is designed for advanced professionals aiming to implement secure and efficient AI-driven processes using Ollama.

Upon completing this training, participants will be equipped to:

• Deploy and configure Ollama for private AI processing.
• Integrate AI models into secure enterprise workflows.
• Optimize AI performance while upholding data privacy.
• Automate business processes using on-premise AI capabilities.
• Ensure adherence to enterprise security and governance policies.

This instructor-led, live training in Queretaro (online or onsite) is designed for intermediate-level software developers and AI engineers who want to integrate Claude AI into their applications, create AI-powered chatbots, and enhance software functionality with AI-driven automation.

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

• Utilize the Claude AI API to integrate AI into applications.
• Develop AI-driven chatbots and virtual assistants.
• Enhance applications with AI-powered automation and NLP.
• Optimize and fine-tune Claude AI models for various use cases.

This live training in Queretaro covers Le Chat Enterprise, a private ChatOps solution for secure, governed conversational AI. Learners will deploy, configure, and integrate it with enterprise apps, enabling RBAC, SSO, and compliance-driven controls for scalable, secure AI workflows.

Gain mastery over Devstral through this live training session held in Queretaro. 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 Queretaro (online or onsite) is tailored for beginner-level professionals who wish to integrate Claude AI into their daily workflows to enhance efficiency and automation.

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

• Use Claude AI for automating repetitive tasks and streamlining workflows.
• Enhance personal and team productivity using AI-powered automation.
• Integrate Claude AI with existing business tools and platforms.
• Optimize AI-driven decision-making and task management.

This instructor-led, live training in Queretaro (online or on-site) is aimed at intermediate-level professionals who wish to deploy, optimize, and integrate LLMs using Ollama.

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

• Set up and deploy LLMs using Ollama.
• Optimize AI models for performance and efficiency.
• Leverage GPU acceleration for improved inference speeds.
• Integrate Ollama into workflows and applications.
• Monitor and maintain AI model performance over time.

This live, instructor-led training in Queretaro (online or onsite) is designed for intermediate-level data scientists, AI developers, and AI enthusiasts who wish to use LLMs to perform various NLP tasks and create novel and diverse content for different purposes.

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

• Establish a development environment with LLMs and essential tools.
• Expertly perform NLU and NLI tasks with LLMs.
• Extract, infer, and utilize knowledge graphs effectively.
• Generate and manage dialogues using LLMs for conversational applications.
• Evaluate content quality and diversity generated by LLMs and generative AI.
• Apply ethical principles, ensuring fairness and responsible use of LLMs.

This instructor-led, live training in Queretaro (online or onsite) is designed for intermediate-level professionals who want to enhance their NLP projects by effectively fine-tuning pre-trained language models.

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

• Understand the fundamentals of fine-tuning for NLP tasks.
• Fine-tune pre-trained models such as GPT, BERT, and T5 for specific NLP applications.
• Optimize hyperparameters to improve model performance.
• Evaluate and deploy fine-tuned models in real-world scenarios.

This instructor-led session in Queretaro empowers advanced AI engineers to deploy and secure Mistral Medium 3. Participants will learn to reduce inference costs, build multimodal applications, and adhere to enterprise compliance standards. The course includes practical labs for both API and self-hosted setups.

This instructor-led, live training in Queretaro (online or onsite) is aimed at beginner-level professionals who wish to install, configure, and use Ollama for running AI models on their local machines.

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

• Understand the fundamentals of Ollama and its capabilities.
• Set up Ollama for running local AI models.
• Deploy and interact with LLMs using Ollama.
• Optimize performance and resource usage for AI workloads.
• Explore use cases for local AI deployment in various industries.

A two-day course designed for developers who already utilize AI coding tools like Cursor, Claude Code, or Copilot. The curriculum focuses on delegating end-to-end tasks to agents, constructing a personalization stack (Rules, AGENTS.md, Skills, MCP, Agents), connecting and developing MCP servers, executing agents in parallel, and implementing structured agentic workflows. The content is tool-agnostic and serves as a follow-up to the Foundations course.

This two-day course introduces the fundamentals of AI-assisted software development, designed specifically for beginners, including those with little to no coding background. Participants will explore the underlying mechanics of these tools, learn effective prompt engineering techniques, and practice applying them to real-world scenarios such as building a small project from scratch, navigating existing codebases, and conducting code reviews. The curriculum is tool-agnostic, making it applicable to platforms like Cursor, Claude Code, Copilot, and similar solutions. This course serves as a prerequisite for the Advanced Workflows in Agentic AI Development course.

This two-stage training program is tailored for software delivery teams aiming to embed AI-assisted engineering workflows into their daily operations through Claude Code.

This course provides Artificial Intelligence technical training within Queretaro, covering data analysis, distributed machine learning, and natural language processing to help developers build large-scale intelligent systems. The content explores practical applications of Spark MLlib, recommendation engines, Word2Vec semantic analysis, and RNN-LSTM architectures, assisting professionals in transforming raw data into automated decision-making pipelines that can be deployed in production environments, thereby comprehensively enhancing core competencies in intelligent system construction.

This live, instructor-led training in Queretaro 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

This instructor-led, live (online or in-person) training in Queretaro is aimed at beginner users who want to leverage Claude to improve administrative productivity and optimize corporate tasks through generative artificial intelligence. Upon completing this training, participants will be able to:

• Understand the fundamentals of generative AI and how Claude works.
• Create effective prompts for administrative and corporate tasks.
• Draft and improve documents, emails, and reports using AI.
• Organize tasks and streamline daily administrative activities.
• Use Claude as a support tool for basic data analysis and spreadsheets.
• Apply security best practices and validate content generated by AI.

This instructor-led, live training in Queretaro is intended for intermediate to advanced developers and tech leads looking to configure and scale Claude Code for consistent team performance.

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

• Structure CLAUDE.md files, settings, and permissions for repositories and teams
• Create custom subagents with specific roles and tool access
• Write hooks that automatically enforce formatting, testing, and safety rules
• Package recurring workflows as Skills, slash commands, and plugins
• Connect Claude Code to external systems via MCP servers
• Run Claude Code non-interactively in scripts and CI pipelines, and critically assess its output

Targeted at business users, this live, instructor-led session held in Queretaro empowers non-technical staff to build simple internal tools and prototypes.

By the conclusion of the program, participants will be able to:

• Define small tools effectively for AI-driven construction
• Create working prototypes utilizing Lovable
• Employ Claude Code for simple helper tools under guidance
• Determine when a prototype necessitates developer assistance

This live, instructor-led training in Queretaro is tailored for knowledge workers and managers seeking to entrust complete tasks to Claude.

Upon completion, participants will be able to:

• Identify the capabilities of Claude Cowork in autonomous operations
• Assign research, documentation, and file-based assignments
• Plan, evaluate, and refine delegated outputs
• Recognize operational boundaries and ensure safe utilization

Ollama is an open-source solution designed to execute large language models locally on both consumer and enterprise-grade hardware. By streamlining model quantization, GPU resource allocation, and API serving into a unified command-line interface, it empowers organizations to self-host LLMs such as Llama, Mistral, and Qwen. This approach ensures that prompts and data remain secure, avoiding transmission to external providers like OpenAI, Anthropic, or Google.