Natural Language Processing (NLP) Training in Tijuana

Ollama is a lightweight platform for running large language models locally.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance practitioners and IT personnel who wish to implement, customize, and operationalize Ollama-based AI solutions in financial environments.

By completing this training, participants will gain the skills needed to:

• Deploy and configure Ollama for secure use in financial operations.
• Integrate local LLMs into analytical and reporting workflows.
• Adapt models to finance-specific terminology and tasks.
• Apply security, privacy, and compliance best practices.

Format of the Course

• Interactive lecture and discussion.
• Hands-on financial data exercises.
• Live-lab implementation of finance-focused scenarios.

Course Customization Options

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

Ollama is a streamlined platform designed for executing large language models directly on local hardware.

This guided, live training session (available online or in-person) targets intermediate-level healthcare professionals and IT teams looking to deploy, tailor, and operationalize Ollama-driven AI solutions within clinical and administrative workflows.

After finishing this course, participants will be equipped to:

• Install and configure Ollama to ensure secure usage in healthcare environments.
• Embed local LLMs into clinical processes and administrative operations.
• Adapt models for healthcare-specific terminology and specialized tasks.
• Implement best practices for privacy, security, and regulatory compliance.

Course Format

• Interactive lectures and discussions.
• Live demonstrations and guided hands-on exercises.
• Practical application within a sandboxed healthcare simulation environment.

Customization Options

• For a tailored training version of this course, please contact us to make arrangements.

Ollama serves as a platform for executing large language and multimodal models locally, while supporting governance and responsible AI practices.

This instructor-led live training (available online or onsite) is designed for intermediate to advanced professionals who aim to implement fairness, transparency, and accountability in applications powered by Ollama.

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

• Apply responsible AI principles in Ollama deployments.
• Implement content filtering and bias mitigation strategies.
• Design governance workflows for AI alignment and auditability.
• Establish monitoring and reporting frameworks for compliance.

Format of the Course

• Interactive lecture and discussion.
• Hands-on governance workflow design labs.
• Case studies and compliance-focused exercises.

Course Customization Options

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

Mistral AI offers a robust suite of open-source and enterprise-grade AI models tailored for language processing, multimodal applications, and agentic workflows.

This instructor-led live training, available both online and onsite, targets intermediate to advanced professionals eager to build, deploy, and manage AI agents using Mistral’s Medium 3, Le Chat Enterprise, and Devstral models.

Upon completing this training, participants will be equipped to:

• Grasp the architecture and capabilities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
• Design and implement AI agents leveraging Mistral models for both enterprise and developer scenarios.
• Integrate coding systems, connectors, and enterprise data into agent workflows.
• Optimize performance, cost, and compliance for Mistral-powered agents.

Course Format

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

Customization Options

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

Ollama is a platform that enables the local execution of large language and multimodal models, while supporting secure deployment strategies.

This instructor-led live training (available online or onsite) is designed for intermediate-level professionals seeking to deploy Ollama with robust data privacy and regulatory compliance measures.

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

• Deploy Ollama securely in containerized and on-premises environments.
• Apply differential privacy techniques to protect sensitive data.
• Implement secure logging, monitoring, and auditing practices.
• Enforce data access control that aligns with compliance requirements.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focused on secure deployment patterns.
• Compliance-focused case studies and practical exercises.

Course Customization Options

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

Claude AI is a sophisticated language model engineered to assist with intricate analytical, strategic, and organizational challenges.

This instructor-led live training, available online or onsite, targets beginner-level project management and planning professionals seeking to leverage Claude AI to enhance project design, documentation, communication, and long-term strategic planning.

After completing this training, participants will be able to:

• Generate project documentation, including charters, briefs, and scope definitions, using Claude AI.
• Analyze risks, constraints, and dependencies utilizing AI-driven reasoning.
• Develop stakeholder communications and reporting materials tailored to diverse audiences.
• Utilize Claude AI to facilitate sprint planning, prioritization, and roadmap refinement.

Course Format

• Instructor-led explanations paired with guided demonstrations.
• Practical exercises using real-world project management scenarios.
• Structured activities applying Claude AI in a live environment.

Customization Options

• Custom scenarios, organization-specific templates, or industry-focused workflows can be incorporated upon request.

Mistral AI serves as an open AI platform that empowers teams to build and integrate conversational assistants into enterprise and customer-facing workflows.

This instructor-led live training (available online or onsite) is designed for beginner to intermediate-level product managers, full-stack developers, and integration engineers who want to design, integrate, and productize conversational assistants using Mistral connectors and integrations.

Upon completing this training, participants will be capable of:

• Integrating Mistral conversational models with enterprise and SaaS connectors.
• Implementing retrieval-augmented generation (RAG) for grounded responses.
• Designing UX patterns for internal and external chat assistants.
• Deploying assistants into product workflows for real-world use cases.

Format of the Course

• Interactive lecture and discussion.
• Hands-on integration exercises.
• Live-lab development of conversational assistants.

Course Customization Options

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

Ollama is a platform that enables running large language and multimodal models locally.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to master prompt engineering techniques to optimize Ollama outputs.

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

• Design effective prompts for diverse use cases.
• Apply techniques such as priming and chain-of-thought structuring.
• Implement prompt templates and context management strategies.
• Build multi-stage prompting pipelines for complex workflows.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with prompt design.
• Practical 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 Tijuana (online or onsite) is aimed at beginner-level business analysts and automation engineers who wish to understand how to use LangChain and APIs for automating repetitive tasks and workflows.

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

• Understand the basics of API integration with LangChain.
• Automate repetitive workflows using LangChain and Python.
• Utilize LangChain to connect various APIs for efficient business processes.
• Create and automate custom workflows using APIs and LangChain’s automation capabilities.

Claude AI is a generative artificial intelligence system engineered to enhance reasoning, content creation, knowledge retrieval, and workflow automation.

This instructor-led live training, available either online or onsite, targets beginner-level professionals eager to apply Claude AI capabilities to customer support and service operations.

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

• Utilize Claude to speed up support triage and classification processes.
• Develop customer responses and summaries that maintain consistent tone.
• Automate the drafting of tickets and streamline knowledge retrieval.
• Seamlessly integrate Claude into existing customer support workflows.

Course Format

• Instructor-guided lectures featuring real-world support scenarios.
• Practical exercises grounded in enterprise service cases.
• Hands-on interaction with Claude within a simulated support environment.

Customization Options

• If you require this course to be tailored to your organization’s specific support workflows, please reach out to discuss customization possibilities.

LangGraph serves as a framework designed for constructing stateful, multi-actor LLM applications through composable graphs that feature persistent state and precise execution control.

This instructor-led training session, available both online and onsite, targets intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based legal solutions that meet strict compliance, traceability, and governance standards.

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

• Creating legal-specific LangGraph workflows that ensure auditability and regulatory compliance.
• Integrating legal ontologies and document standards into graph states and processing logic.
• Implementing guardrails, human-in-the-loop approvals, and traceable decision paths.
• Deploying, monitoring, and maintaining LangGraph services in production environments with robust observability and cost controls.

Course Format

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

Customization Options

• To request customized training for this course, please contact us to make arrangements.

Mistral AI is an open, enterprise-ready AI platform designed to facilitate secure, compliant, and responsible AI deployment.

This instructor-led live training, available online or onsite, targets intermediate-level compliance leads, security architects, and legal/ops stakeholders seeking to implement responsible AI practices using Mistral’s privacy, data residency, and enterprise control mechanisms.

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

• Implement privacy-preserving techniques in Mistral deployments.
• Apply data residency strategies to meet regulatory requirements.
• Set up enterprise-grade controls such as RBAC, SSO, and audit logs.
• Evaluate vendor and deployment options for compliance alignment.

Format of the Course

• Interactive lecture and discussion.
• Compliance-focused case studies and exercises.
• Hands-on implementation of enterprise AI controls.

Course Customization Options

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

Ollama is a platform designed for running large language and multimodal models locally and at scale.

This instructor-led live training, available online or onsite, targets intermediate to advanced engineers looking to scale Ollama deployments for multi-user, high-throughput, and cost-effective environments.

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

• Configure Ollama to handle multi-user and distributed workloads.
• Optimize the allocation of GPU and CPU resources.
• Implement strategies for autoscaling, batching, and reducing latency.
• Monitor and optimize infrastructure to enhance performance and cost efficiency.

Course Format

• Interactive lectures and discussions.
• Hands-on labs for deployment and scaling.
• Practical optimization exercises conducted in live environments.

Course Customization Options

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

The CANN SDK (Compute Architecture for Neural Networks) offers robust deployment and optimization tools designed for real-time AI applications in computer vision and NLP, with a particular focus on Huawei Ascend hardware.

This instructor-led live training, available online or onsite, is tailored for intermediate-level AI professionals looking to build, deploy, and optimize vision and language models using the CANN SDK for production environments.

Upon completing this training, participants will be able to:

• Deploy and optimize CV and NLP models using CANN and AscendCL.
• Utilize CANN tools to convert models and seamlessly integrate them into live pipelines.
• Enhance inference performance for tasks such as detection, classification, and sentiment analysis.
• Construct real-time CV/NLP pipelines suitable for edge or cloud-based deployment scenarios.

Course Format

• Interactive lectures combined with demonstrations.
• Practical labs focused on model deployment and performance profiling.
• Live pipeline design exercises using real-world CV and NLP use cases.

Customization Options

• For information on requesting customized training for this course, please get in touch with us to make arrangements.

Claude AI is an advanced language and reasoning system that supports structured data tasks, analytical workflows, and business intelligence augmentation.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to use Claude to accelerate data analysis, generate insights, and streamline BI processes.

After completing this training, attendees will be able to:

• Apply Claude to perform ad-hoc exploratory data analysis.
• Generate SQL queries, summaries, and transformations using natural language prompts.
• Use Claude to design dashboards, KPIs, and analytical views more efficiently.
• Interpret business data with enhanced accuracy through structured AI-assisted reasoning.

Format of the Course

• Instructor-led demonstrations and guided discussions.
• Hands-on exercises using real-world business datasets.
• Practical application of Claude within BI-focused scenarios.

Course Customization Options

• If customization is needed to align with your internal BI tools or workflows, please reach out to arrange a tailored version of this course.

LangGraph serves as a framework designed for constructing stateful, multi-actor LLM applications through composable graphs, enabling persistent state management and precise control over execution flows.

This instructor-led live training, available either online or on-site, targets intermediate to advanced professionals who aim to design, implement, and manage LangGraph-based financial solutions while ensuring proper governance, observability, and compliance.

Upon completing this training, participants will be equipped to:

• Develop finance-specific LangGraph workflows that adhere to regulatory and audit standards.
• Integrate financial data standards and ontologies into graph states and associated tooling.
• Implement robust reliability, safety measures, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimize LangGraph systems to achieve desired performance, cost efficiency, and SLAs.

Course Format

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

Customization Options

• To arrange customized training for this course, please contact us directly.

Ollama is a platform that allows users to run and fine-tune large language and multimodal models locally.

This instructor-led, live training (available online or in-person) is designed for advanced ML engineers, AI researchers, and product developers who want to build and deploy multimodal applications using Ollama.

Upon completing this training, participants will be able to:

• Set up and operate multimodal models with Ollama.
• Integrate text, image, and audio inputs for real-world applications.
• Create document understanding and visual QA systems.
• Develop multimodal agents capable of reasoning across different modalities.

Course Format

• Interactive lectures and discussions.
• Hands-on practice with real multimodal datasets.
• Live-lab implementation of multimodal pipelines using Ollama.

Course Customization Options

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

Mistral models are open-source AI technologies that now extend into multimodal workflows, supporting both language and vision tasks for enterprise and research applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level ML researchers, applied engineers, and product teams who wish to build multimodal applications with Mistral models, including OCR and document understanding pipelines.

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

• Set up and configure Mistral models for multimodal tasks.
• Implement OCR workflows and integrate them with NLP pipelines.
• Design document understanding applications for enterprise use cases.
• Develop vision-text search and assistive UI functionalities.

Format of the Course

• Interactive lecture and discussion.
• Hands-on coding exercises.
• Live-lab implementation of multimodal pipelines.

Course Customization Options

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

This instructor-led, live training Tijuana (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.
  

The course on Advanced Debugging and Evaluation of Ollama Models delves into the diagnosis, testing, and assessment of model behavior within local or private Ollama deployments.

This live, instructor-led training, available online or onsite, is designed for advanced AI engineers, MLOps professionals, and QA specialists aiming to guarantee the reliability, accuracy, and operational readiness of Ollama-based models in production environments.

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

• Conducting systematic debugging of Ollama-hosted models and reliably reproducing failure scenarios.
• Designing and executing robust evaluation pipelines utilizing both quantitative and qualitative metrics.
• Implementing observability measures (logs, traces, and metrics) to monitor model health and detect drift.
• Automating testing, validation, and regression checks within CI/CD pipelines.

Course Format

• Interactive lectures and discussions.
• Hands-on labs and debugging exercises using Ollama deployments.
• Case studies, group troubleshooting sessions, and automation workshops.

Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Tijuana (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.

Devstral and Mistral models are open-source AI technologies designed to support flexible deployment, fine-tuning, and scalable integration.

This instructor-led live training (available online or onsite) is designed for intermediate to advanced ML engineers, platform teams, and research engineers who want to self-host, fine-tune, and govern Mistral and Devstral models in production environments.

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

• Set up and configure self-hosted environments for Mistral and Devstral models.
• Apply fine-tuning techniques to enhance domain-specific performance.
• Implement versioning, monitoring, and lifecycle governance.
• Ensure security, compliance, and responsible usage of open-source models.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises focused on self-hosting and fine-tuning.
• Live-lab implementation of governance and monitoring pipelines.

Customization Options

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

LangGraph facilitates stateful, multi-actor workflows driven by large language models (LLMs), offering precise control over execution paths and state persistence. In the healthcare sector, these capabilities are essential for ensuring compliance, enabling interoperability, and developing decision-support systems that integrate seamlessly with clinical processes.

This instructor-led, live training (available online or onsite) targets intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based healthcare solutions while navigating regulatory, ethical, and operational challenges.

Upon completing this training, participants will be able to:

• Design healthcare-specific LangGraph workflows that prioritize compliance and auditability.
• Integrate LangGraph applications with medical ontologies and standards such as FHIR, SNOMED CT, and ICD.
• Apply best practices for reliability, traceability, and explainability in sensitive environments.
• Deploy, monitor, and validate LangGraph applications within healthcare production settings.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with real-world case studies.
• Implementation practice in a live-lab environment.

Course Customization Options

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

LangGraph is a framework designed for creating stateful, multi-actor LLM applications as composable graphs with persistent state and control over execution.

This instructor-led, live training (available online or onsite) is aimed at advanced-level AI platform engineers, DevOps for AI, and ML architects who wish to optimize, debug, monitor, and operate production-grade LangGraph systems.

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

• Design and optimize complex LangGraph topologies for speed, cost, and scalability.
• Engineer reliability with retries, timeouts, idempotency, and checkpoint-based recovery.
• Debug and trace graph executions, inspect state, and systematically reproduce production issues.
• Instrument graphs with logs, metrics, and traces, deploy to production, and monitor SLAs and costs.

Format of the Course

• Interactive lecture and discussion.
• Ample 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 Tijuana (online or onsite) is aimed at intermediate-level professionals who wish to deepen their understanding of conversational agents and apply LangChain to real-world use cases.

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

• Understand the fundamentals of LangChain and its application in building conversational agents.
• Develop and deploy conversational agents using LangChain.
• Integrate conversational agents with APIs and external services.
• Apply Natural Language Processing (NLP) techniques to improve the performance of conversational agents.

This instructor-led, live training in Tijuana (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 Tijuana (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.

Mistral is a family of high-performance large language models specifically optimized for cost-efficient deployment at scale in production environments.

This instructor-led training (available online or onsite) targets advanced infrastructure engineers, cloud architects, and MLOps leaders who want to design, deploy, and optimize Mistral-based architectures to maximize throughput while minimizing costs.

Upon completing this training, participants will be able to:

• Implement scalable deployment patterns for Mistral Medium 3.
• Apply batching, quantization, and efficient serving strategies.
• Optimize inference costs without compromising performance.
• Design production-ready serving topologies for enterprise workloads.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Tijuana (online or onsite) targets developers and IT professionals of all skill levels who wish to automate tasks and processes using AI without writing extensive code.

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

• Design and implement complex workflows using n8n's visual programming interface.
• Integrate AI capabilities into workflows using LangChain.
• Build custom chatbots and virtual assistants for various use cases.
• Perform advanced data analysis and processing with AI agents.

This instructor-led, live training in Tijuana (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 Tijuana (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.

LangGraph is a graph-based orchestration framework that enables conditional, multi-step LLM and tool workflows, ideal for automating and personalizing content pipelines.

This instructor-led, live training (online or onsite) is aimed at intermediate-level marketers, content strategists, and automation developers who wish to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.

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

• Design graph-structured content and email workflows with conditional logic.
• Integrate LLMs, APIs, and data sources for automated personalization.
• Manage state, memory, and context across multi-step campaigns.
• Evaluate, monitor, and optimize workflow performance and delivery outcomes.

Course Format

• Interactive lectures and group discussions.
• Hands-on labs implementing email workflows and content pipelines.
• Scenario-based exercises on personalization, segmentation, and branching logic.

Course Customization Options

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

Le Chat Enterprise is a secure, customizable, and governed conversational AI platform designed for organizations, offering robust support for RBAC, SSO, connectors, and enterprise app integrations.

This instructor-led training (available online or onsite) targets intermediate-level product managers, IT leads, solution engineers, and security/compliance teams seeking to deploy, configure, and manage Le Chat Enterprise within enterprise environments.

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

• Deploy and configure Le Chat Enterprise for secure operations.
• Implement RBAC, SSO, and compliance-driven controls.
• Connect Le Chat with enterprise applications and data stores.
• Design and execute governance and administrative playbooks for ChatOps.

Course Format

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

Customization Options

• For customized training options, please contact us to arrange.

Devstral is an open-source framework engineered to build and operate coding agents capable of interacting with codebases, developer tools, and APIs to boost engineering productivity.

This instructor-led live training, available online or onsite, targets intermediate to advanced ML engineers, developer-tooling teams, and SREs eager to design, implement, and optimize coding agents using Devstral.

Upon completing 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.

Course Format

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

Customization Options

• To request a customized version of this course, please reach out to us to arrange details.

This instructor-led, live training in Tijuana (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 Tijuana (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.

LangGraph is a framework designed for composing graph-structured LLM workflows that support branching, tool use, memory, and controllable execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and product teams who wish to combine LangGraph’s graph logic with LLM agent loops to build dynamic, context-aware applications such as customer support agents, decision trees, and information retrieval systems.

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

• Design graph-based workflows that coordinate LLM agents, tools, and memory.
• Implement conditional routing, retries, and fallbacks for robust execution.
• Integrate retrieval, APIs, and structured outputs into agent loops.
• Evaluate, monitor, and harden agent behavior for reliability and safety.

Format of the Course

• Interactive lecture and facilitated discussion.
• Guided labs and code walkthroughs in a sandbox environment.
• Scenario-based design exercises and peer reviews.

Course Customization Options

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

This live, instructor-led training in Tijuana (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 Tijuana (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, live training in Tijuana (online or onsite) is aimed at beginner-level business professionals, customer support teams, and tech enthusiasts who wish to understand the fundamentals of Claude AI and leverage it for business applications.

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

• Understand Claude AI’s capabilities and use cases.
• Set up and interact with Claude AI effectively.
• Automate business workflows with conversational AI.
• Enhance customer engagement and support using AI-driven solutions.

LangGraph is a framework for building graph-structured LLM applications that support planning, branching, tool use, memory, and controllable execution.

This instructor-led, live training (online or onsite) is aimed at beginner-level developers, prompt engineers, and data practitioners who wish to design and build reliable, multi-step LLM workflows using LangGraph.

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

• Explain core LangGraph concepts (nodes, edges, state) and when to use them.
• Build prompt chains that branch, call tools, and maintain memory.
• Integrate retrieval and external APIs into graph workflows.
• Test, debug, and evaluate LangGraph apps for reliability and safety.

Format of the Course

• Interactive lecture and facilitated discussion.
• Guided labs and code walkthroughs in a sandbox environment.
• Scenario-based exercises on design, testing, and evaluation.

Course Customization Options

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

Mistral Medium 3 is a high-performance, multimodal large language model designed for production-grade deployment across enterprise environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level AI/ML engineers, platform architects, and MLOps teams who wish to deploy, optimize, and secure Mistral Medium 3 for enterprise use cases.

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

• Deploy Mistral Medium 3 using API and self-hosted options.
• Optimize inference performance and costs.
• Implement multimodal use cases with Mistral Medium 3.
• Apply security and compliance best practices for enterprise environments.

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 Tijuana (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.

Uncovering the fundamentals of artificial intelligence reveals how intelligent technologies are transforming digital strategies, automation, and decision-making processes across enterprise operations. This content examines core concepts including the history of AI, problem-solving frameworks, knowledge representation, reasoning under uncertainty, and machine learning paradigms, along with communication, perception, and autonomous action. It guides executives and architects in evaluating opportunities for AI-driven transformation, assessing emerging technology trends, and integrating practical intelligent solutions to accelerate business agility.

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

Artificial intelligence training covers data analysis, distributed AI, and natural language processing, aiming to provide developers and data scientists with the applied technologies needed to build large-scale intelligent systems. The course content includes distributed machine learning, Apache Spark MLlib, and the core principles of MapReduce-based prediction, while delving into the practical methods for recommendation engines, text classification, semantic analysis using Word2Vec, and RNN-LSTM architectures. This course helps professionals deploy production-ready AI pipelines, transforming raw data into automated decision-making capabilities.

This instructor-led, live (online or in-person) training in Tijuana 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.

Claude Code is not a code-completion tool — it is a terminal-native development agent that reads your codebase, plans multi-step changes, runs tests, and drives tasks from a single instruction to a working result. This one-day workshop gives participants structured, hands-on experience: configuring Claude Code for real projects, writing delegations that produce reviewable results, using CLAUDE.md as a persistent project memory, and connecting internal tools via the Model Context Protocol.

This instructor-led, live training in Tijuana (online or onsite) is aimed at software developers and engineering teams who wish to use Claude Code to accelerate development cycles, improve code quality, and automate repetitive programming tasks.

By the end of this training, participants will be able to install and configure Claude Code, edit multi-file codebases with natural language, leverage approval modes, and integrate with Git and CI/CD.

Natural Language Processing turns raw text into actionable intelligence, allowing machines to understand human communication. The course covers fundamental techniques such as corpus analysis, sentence structure parsing, text preprocessing pipelines, and dimensionality reduction using SVD and NMF methods. Participants will engage in practical implementations of document clustering, topic modeling, sentiment analysis, named entity recognition, and Latent Dirichlet Allocation using Python. The program equips professionals to build intelligent text analytics systems for automated content classification and search.

Ollama is an open-source tool for running large language models locally on consumer and enterprise hardware. It abstracts model quantization, GPU allocation, and API serving into a single command-line interface, enabling organizations to self-host LLMs like Llama, Mistral, and Qwen without sending prompts or data to OpenAI, Anthropic, or Google.