Natural Language Processing (NLP) Training in Caruaru

This instructor-led live training in Caruaru empowers finance professionals and IT staff with the capabilities to implement Ollama locally. Learners will master the deployment, configuration, and integration of large language models into secure financial workflows, while adhering to best practices for compliance and automation.

This live training in Caruaru enables healthcare practitioners and IT teams to deploy Ollama for local LLM integration. It covers integrating AI into clinical workflows, customizing models for specific duties, and ensuring rigorous data privacy and regulatory compliance within secure healthcare contexts.

This practical training in Caruaru is designed for intermediate to advanced professionals focused on building, deploying, and managing AI agents. You will learn how to effectively utilize Mistral Medium 3, Le Chat Enterprise, and Devstral for robust enterprise and developer use cases, including the integration of connectors, RAG patterns, and compliance standards.

This live training in Caruaru focuses on embedding Mistral conversational assistants into enterprise environments. Participants will master connecting SaaS tools, applying retrieval-augmented generation, and crafting effective UX patterns for both internal and customer-facing chat interfaces.

This live, instructor-led training in Caruaru empowers beginners to apply Claude AI to customer support and service operations. Participants will gain the skills to automate triage, draft tone-aligned responses, and integrate AI into existing workflows through practical, hands-on exercises.

This live Mistral Responsible AI training in Caruaru is specifically designed for compliance and security leads. You will gain expertise in privacy-preserving methods, data residency strategies, and enterprise controls such as RBAC and SSO to ensure secure and compliant AI deployments.

This live Claude AI training in Caruaru empowers professionals to utilize the platform for data analysis and BI tasks. It encompasses 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.

Discover how to architect multimodal applications leveraging Mistral models, with a deep dive into OCR, document understanding, and vision-text search. This immersive, hands-on training covers end-to-end pipeline implementation, NLP integration, and enterprise-grade system design, available online or in Caruaru.

This instructor-led live training in Caruaru (online or onsite) is aimed at intermediate-level data scientists and developers who wish to apply NLP techniques using Python in Google Colab.

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

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

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

Upon completing this training, participants will be able to:

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

This instructor-led training in Caruaru is designed for ML engineers aiming to master the self-hosting and fine-tuning of Devstral and Mistral models. Participants will gain practical insights into governance, monitoring, and compliance, enabling them to deploy open-source AI confidently in production settings.

This instructor-led, live training in Caruaru (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 Caruaru (online or onsite) is targeted at advanced professionals who aim to fine-tune and customize AI models on Ollama to improve performance and support domain-specific applications.

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

• Set up an efficient environment for fine-tuning AI models on Ollama.
• Prepare datasets for supervised fine-tuning and reinforcement learning.
• Optimize AI models for performance, accuracy, and efficiency.
• Deploy customized models in production environments.
• Evaluate model improvements and ensure robustness.

Gain mastery over cost-efficient Mistral LLM architectures through this 14-hour live session in Caruaru. Discover how to deploy, tune, and scale Mistral Medium 3 to maximize throughput and minimize expenditure, leveraging batching, quantization, and advanced serving strategies tailored for enterprise needs.

This instructor-led, live training in Caruaru (online or onsite) is aimed at advanced-level professionals who wish to implement secure and efficient AI-driven workflows using Ollama.

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

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

This instructor-led live training in Caruaru (online or onsite) targets intermediate software developers and AI engineers aiming to integrate Claude AI into their apps, create AI-powered chatbots, and boost software functionality through AI-driven automation.

Upon completing this training, participants will be able to:

• Integrate AI into applications using the Claude AI API.
• Build AI-driven chatbots and virtual assistants.
• Enhance apps with AI-powered automation and NLP.
• Optimize and fine-tune Claude AI models for various use cases.

This live training in Caruaru explores Le Chat Enterprise, a private ChatOps solution designed for secure, governed conversational AI. Participants will learn to deploy, configure, and integrate the platform with enterprise applications, while enabling RBAC, SSO, and compliance-driven controls to build scalable and secure AI workflows.

Gain proficiency in Devstral through this live training held in Caruaru. The curriculum covers architecture, agentic workflow design, and tool integration. Perfect for advanced engineers, the course utilizes hands-on labs to create coding agents that improve productivity and security within modern development environments.

This instructor-led, live training in Caruaru (online or onsite) is aimed at beginner-level professionals who wish to integrate Claude AI into their daily workflows to improve 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 Caruaru (online or onsite) is designed for intermediate-level professionals aiming to deploy, optimize, and integrate LLMs using Ollama.

Upon completing this training, participants will be able to:

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

This instructor-led live training in Caruaru (online or onsite) is designed for intermediate-level data scientists, AI developers, and AI enthusiasts who want to utilize 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:

• Set up a development environment equipped with LLMs and essential tools.
• Proficiently execute NLU and NLI tasks using LLMs.
• Effectively extract, infer, and apply knowledge graphs.
• Create and manage dialogues with LLMs for conversational applications.
• Assess the quality and diversity of content generated by LLMs and generative AI.
• Implement ethical principles to ensure fairness and responsible LLM usage.

This instructor-led, live training in Caruaru (online or onsite) is aimed at intermediate-level professionals who wish to enhance their NLP projects through the effective fine-tuning of 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 for improved model performance.
• Evaluate and deploy fine-tuned models in real-world scenarios.

This instructor-led training in Caruaru empowers advanced AI engineers to deploy and secure Mistral Medium 3 with confidence. Learn to streamline inference costs, build multimodal solutions, and implement robust enterprise compliance strategies. The course includes hands-on labs covering both API and self-hosted setups.

This instructor-led, live training in Caruaru (online or onsite) targets beginner-level professionals who want 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.

This two-day course is designed for developers who already utilize AI coding tools like Cursor, Claude Code, or Copilot. Participants will learn how to delegate comprehensive tasks to agents, construct a personalization stack (including Rules, AGENTS.md, Skills, MCP, and Agents), connect and build MCP servers, run agents in parallel, and implement structured agentic workflows. The course content is tool-agnostic and serves as a continuation of the Foundations course.

This two-day foundational course introduces AI-assisted software development to individuals new to these technologies, including those with minimal or no coding background. Participants will learn how these tools function, how to guide them effectively through prompts, and how to apply them to common scenarios: creating a small project from the ground up, navigating existing codebases, and evaluating the generated outputs. 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 "Agentic AI Development: Advanced Workflows" training.

This two-part training programme is tailored for software delivery teams seeking to embed AI-assisted engineering practices into their routine operations via Claude Code.

This course, offered under Caruaru, provides comprehensive AI technical training encompassing data analysis, distributed machine learning, and natural language processing to help developers construct large-scale intelligent systems. The content explores practical implementations of Spark MLlib, recommendation engines, Word2Vec semantic analysis, and RNN-LSTM architectures, enabling professionals to transform raw data into automated decision pipelines that are ready for production deployment, thereby elevating core capabilities in building intelligent systems

This live, instructor-led training in Caruaru is designed for intermediate developers who intend to design, construct, and validate AI agents utilizing the Claude API and the Agent SDK.

Following the completion of this course, participants will be able to:

• Interact with the Messages API using system prompts, structured outputs, and streaming
• Create tools and execute a reliable tool-use loop
• Link agents to external platforms via MCP servers
• Implement and deploy agents with the Claude Agent SDK, including permission controls and subagent management
• Minimize costs and latency by leveraging prompt caching and strategic context handling
• Verify, record, and monitor agent performance using a concise evaluation set

This live, instructor-led training in Caruaru is designed for intermediate to advanced developers and tech leads seeking to configure and scale Claude Code for dependable team usage.

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

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

This live, instructor-led training session in Caruaru is tailored for: Business professionals aiming to construct basic internal tools and prototypes.

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

• Define tool specifications in a manner that allows AI to build them
• Create operational prototypes utilizing Lovable
• Employ Claude Code for developing simple helper utilities under guidance
• Determine when a prototype requires professional developer support

This live, instructor-led session in Caruaru is tailored for knowledge workers and managers who wish to delegate complete tasks to Claude.

By the conclusion of the training, attendees will have the ability to:

• Determine what Claude Cowork can accomplish autonomously
• Hand over research, document creation, and file management duties
• Plan, evaluate, and adjust the work produced
• Understand limitations and maintain safe practices

Claude Cowork is designed to handle complete workflows—such as in-depth research, document drafting, and file management—rather than responding to individual prompts in isolation. This course guides you through the process of crafting effective assignments, monitoring execution plans, and evaluating final outputs. Throughout the session, participants will delegate three practical tasks and configure an automated scheduled workflow.

This live, instructor-led training in Caruaru is tailored for knowledge workers, administrative assistants, and project or department leaders seeking to delegate entire projects to Claude rather than managing them through step-by-step chat interactions.

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

• Distinguish between conversational chat and autonomous delegated work within Cowork
• Structure assignments by defining objectives, required materials, constraints, and success criteria
• Generate documents, spreadsheets, and presentations directly from organized folders
• Delegate research processes from initial inquiry to the delivery of a finalized report
• Leverage plugins, specific skills, and connectors within the Cowork environment
• Establish approval checkpoints, backup protocols, and secure folder access controls

Course Format

• Duration: 1 day (7 hours)
• Interactive training sessions featuring live instructor guidance, group discussions, and hands-on exercises applied to participants' real-world use cases
• Key Outcome: By the end of Day 1, each participant will have delegated three real-world tasks to Cowork, analyzed the resulting outputs, and implemented a scheduled task.

Course Customization Options

• To request a tailored version of this course, please contact our team to discuss your specific requirements.

Ollama serves as an open-source solution for deploying large language models locally on both consumer and enterprise-grade hardware. By streamlining model quantization, GPU 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 never leave the local environment, eliminating the need to send sensitive information to OpenAI, Anthropic, or Google.