Whether delivered online or onsite, instructor-led Natural Language Processing (NLP) training courses illustrate through interactive discussion and practical exercises how to extract insights and meaning from data. Leveraging programming languages such as Python and R along with NLP libraries, our training programmes blend concepts and techniques from computer science, artificial intelligence, and computational linguistics to help participants grasp the significance behind textual data. These NLP sessions guide participants step-by-step through evaluating and applying appropriate algorithms to analyse data and report on its importance.
NLP training is available as 'online live training' or 'onsite live training'. Online live training (also known as 'remote live training') is conducted via an interactive remote desktop. Onsite live training can take place locally at the customer's premises in Rome or at NobleProg corporate training centres in Rome.
NobleProg -- Your Local Training Provider
Rome
NobleProg Rome, Via Clelia Bertini Attilj 4, Rome, italy, 34D
CoworkTalenti is located in the northern part of Rome, in the Talenti–Montesacro district, just a few minutes from the ring road. It is easily accessible via Via Nomentana.
Ollama serves as a lightweight platform designed to run large language models locally.
This instructor-led training session, available both online and on-site, is specifically tailored for finance professionals and IT staff at an intermediate level who aim to implement, customize, and operationalize AI solutions based on Ollama within financial contexts.
Upon completing this course, participants will acquire the necessary skills to:
Deploy and configure Ollama for secure usage in financial operations.
Integrate local large language models into analytical and reporting processes.
Adapt models to align with finance-specific terminology and tasks.
Apply best practices regarding security, privacy, and compliance.
Course Format
Interactive lectures and discussions.
Practical exercises involving financial data.
Live-lab implementation of finance-focused scenarios.
Customization Options
To request a tailored training session for this course, please contact us to make arrangements.
Ollama serves as a lightweight platform designed for running large language models on local devices.
This instructor-led, live training session (available online or on-site) targets intermediate-level healthcare professionals and IT teams aiming to deploy, customize, and operationalize Ollama-based AI solutions within both clinical and administrative settings.
After completing this training, participants will be able to:
Install and configure Ollama for secure use in healthcare environments.
Integrate local LLMs into clinical workflows and administrative processes.
Customize models for healthcare-specific terminology and tasks.
Apply best practices for privacy, security, and regulatory compliance.
Course Format
Interactive lectures and discussions.
Hands-on demonstrations and guided exercises.
Practical implementation within a sandboxed healthcare simulation environment.
Course Customization Options
To request customized training for this course, please contact us to make arrangements.
Ollama serves as a platform for executing large language and multimodal models on local infrastructure, facilitating robust governance and adherence to responsible AI standards.
This instructor-led live training, available either online or onsite, is designed for intermediate to advanced professionals seeking to embed fairness, transparency, and accountability into applications powered by Ollama.
Upon completion of this training, participants will be capable of:
Integrating responsible AI principles into Ollama deployments.
Deploying content filtering and bias mitigation strategies.
Designing governance workflows that ensure AI alignment and auditability.
Establishing monitoring and reporting frameworks to ensure compliance.
Course Format
Interactive lectures and discussions.
Hands-on labs focused on designing governance workflows.
Case studies and exercises centered on compliance.
Customization Options
For personalized training tailored to your specific needs, please reach out to us to arrange a session.
Mistral AI offers a robust suite of open-source and enterprise-ready AI models designed for language processing, multimodal applications, and agentic systems.
This instructor-led training, available both online and onsite, is designed for intermediate to advanced professionals looking 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 able to:
Comprehend the architecture and capabilities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
Design and implement AI agents tailored for enterprise and developer use cases by leveraging Mistral models.
Integrate coding systems, connectors, and enterprise data into agent workflows.
Optimize the performance, cost, and compliance of Mistral-powered agents.
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.
Ollama is a platform designed to run large language and multimodal models locally while supporting robust secure deployment strategies.
This instructor-led, live training (available online or onsite) is targeted at intermediate-level professionals seeking to deploy Ollama with strong data privacy and regulatory compliance measures.
By the end 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 aligned with compliance requirements.
Format of the Course
Interactive lecture and discussion.
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.
Claude AI is an advanced language model designed to support complex analytical, strategic, and organizational tasks.
This instructor-led, live training (online or onsite) is aimed at beginner-level project management and planning professionals who wish to use Claude AI to strengthen project design, documentation, communication, and long-term planning activities.
Upon completing this training, participants will gain the ability to:
Create project documentation such as charters, briefs, and scopes using Claude AI.
Analyze risks, constraints, and dependencies with AI-supported reasoning.
Develop stakeholder communications and reporting outputs tailored to different audiences.
Use Claude AI to support sprint planning, prioritization, and roadmap refinement.
Format of the Course
Instructor explanations combined with guided demonstrations.
Hands-on practice using real-world project management scenarios.
Structured exercises applying Claude AI in a live environment.
Course Customization Options
Custom scenarios, organization-specific templates, or industry-focused workflows can be integrated upon request.
Mistral AI is an open-source artificial intelligence platform that empowers teams to develop and integrate conversational assistants into both enterprise internal operations and customer-facing workflows.
This instructor-led live training, available online or onsite, targets beginner to intermediate-level product managers, full-stack developers, and integration engineers looking to design, integrate, and productize conversational assistants using Mistral connectors and integrations.
Upon completion of this training, participants will be able to:
Integrate Mistral conversational models with enterprise and SaaS connectors.
Implement retrieval-augmented generation (RAG) to ensure grounded responses.
Design user experience patterns for both internal and external chat assistants.
Deploy assistants into product workflows to address real-world use cases.
Format of the Course
Interactive lectures and discussions.
Hands-on integration exercises.
Live-lab development of conversational assistants.
Course Customization Options
To request a customized training session for this course, please contact us to arrange.
Ollama is a platform that allows you to run large language and multimodal models locally.
This instructor-led live training (available online or onsite) is designed for intermediate-level practitioners who want to master prompt engineering techniques to enhance Ollama outputs.
Upon completing this training, participants will be able to:
Create effective prompts for various use cases.
Apply methods such as priming and chain-of-thought structuring.
Implement prompt templates and context management strategies.
Develop multi-stage prompting pipelines for intricate workflows.
Course Format
Interactive lectures and discussions.
Hands-on exercises in prompt design.
Practical implementation within a live-lab environment.
Customization Options
For customized training requests for this course, please contact us to arrange it.
Claude AI is a generative AI system designed to assist with reasoning, content generation, knowledge retrieval, and workflow automation.
This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to apply Claude AI to customer support and service operations tasks.
Upon completing this program, learners will be able to:
Use Claude to accelerate support triage and classification.
Create tone-consistent customer responses and summaries.
Automate ticket drafting and knowledge retrieval processes.
Integrate Claude into existing customer support workflows.
Format of the Course
Guided lectures with real-world support scenarios.
Practical exercises based on enterprise service cases.
Hands-on use of Claude in a simulated support environment.
Course Customization Options
If you need this course tailored to your organization’s support workflows, please contact us to discuss customization.
LangGraph serves as a framework designed for constructing stateful, multi-actor LLM applications through composable graphs that maintain persistent state and offer precise control over execution.
This instructor-led live training, available online or onsite, targets intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based legal solutions with robust compliance, traceability, and governance controls.
Upon completion of this training, participants will be capable of:
Developing legal-specific LangGraph workflows that ensure auditability and compliance.
Integrating legal ontologies and document standards into graph state and processing.
Implementing guardrails, human-in-the-loop approvals, and traceable decision paths.
Deploying, monitoring, and maintaining LangGraph services in production environments with observability and cost management.
Course Format
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation within a live lab environment.
Customization Options
For customized training on this course, please contact us to arrange your session.
Mistral AI is an open, enterprise-ready AI platform designed to support secure, compliant, and responsible AI deployments.
This instructor-led training, available both online and onsite, targets intermediate-level compliance leads, security architects, and legal or operations stakeholders who aim to implement responsible AI practices using Mistral. The course focuses on leveraging privacy, data residency, and enterprise control mechanisms.
Upon completion, participants will be able to:
Deploy privacy-preserving techniques within Mistral environments.
Implement data residency strategies to satisfy regulatory obligations.
Establish enterprise-grade controls, including RBAC, SSO, and audit logging.
Assess vendor and deployment options to ensure alignment with compliance standards.
Course Format
Interactive lectures and discussions.
Case studies and exercises focused on compliance.
Hands-on implementation of enterprise AI controls.
Customization Options
To arrange customized training for this course, please contact us.
Ollama serves as a platform designed for executing large language and multimodal models locally and at scale.
This instructor-led, live training (available online or on-site) is targeted at intermediate to advanced engineers seeking to scale Ollama deployments for environments that are multi-user, high-throughput, and cost-effective.
Upon completing this training, 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 ensure both performance and cost efficiency.
Format of the Course
Interactive lectures and discussions.
Hands-on labs focused on deployment and scaling.
Practical optimization exercises conducted in live environments.
Course Customization Options
To request a customized training session for this course, please contact us to make arrangements.
The CANN SDK (Compute Architecture for Neural Networks) offers robust tools for deploying and optimizing real-time AI solutions in computer vision and natural language processing, particularly on Huawei Ascend hardware.
This instructor-led live training, available either online or on-site, is designed for intermediate-level AI professionals looking to construct, deploy, and refine vision and language models using the CANN SDK for production environments.
Upon completion of this course, participants will be able to:
Deploy and optimize computer vision (CV) and NLP models utilizing CANN and AscendCL.
Leverage CANN utilities to convert models and embed them into live processing pipelines.
Enhance inference performance for applications such as object detection, classification, and sentiment analysis.
Create real-time CV/NLP pipelines suitable for both edge and cloud deployment scenarios.
Course Format
Engaging lectures combined with practical demonstrations.
Practical hands-on labs focused on model deployment and performance profiling.
Real-time pipeline design using authentic CV and NLP use cases.
Customization Options
For personalized training needs regarding this course, please reach out to us to arrange.
Claude AI is a sophisticated language and reasoning engine designed to support structured data operations, analytical workflows, and the enhancement of business intelligence processes.
This instructor-led live training (available online or onsite) is tailored for beginner to intermediate professionals looking to leverage Claude to accelerate data analysis, uncover insights, and streamline business intelligence operations.
Upon completion of this training, participants will be able to:
Leverage Claude for ad-hoc exploratory data analysis.
Create SQL queries, summaries, and data transformations via natural language prompts.
Utilize Claude to design dashboards, KPIs, and analytical views with greater efficiency.
Interpret business data with improved accuracy through structured, AI-assisted reasoning.
Course Format
Instructor-led demonstrations paired with guided discussions.
Hands-on exercises utilizing real-world business datasets.
Practical application of Claude within business intelligence scenarios.
Customization Options
If customization is required to align with your internal business intelligence tools or workflows, please contact us to arrange a tailored version of this course.
LangGraph serves as a framework enabling the creation of 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 financial solutions with robust governance, observability, and compliance standards.
Upon completion of this training, participants will gain the ability to:
Create LangGraph workflows tailored to finance that align with regulatory and audit requirements.
Incorporate financial data standards and ontologies into graph state and associated tooling.
Establish reliability, safety, and human-in-the-loop controls for critical processes.
Deploy, monitor, and optimize LangGraph systems to enhance performance, manage costs, and meet SLAs.
Course Format
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Practical implementation in a live-lab environment.
Customization Options
To arrange customized training for this course, please contact us.
Ollama is a platform that enables running and fine-tuning large language and multimodal models locally.
This instructor-led, live training (online or onsite) is aimed at advanced-level ML engineers, AI researchers, and product developers who wish to build and deploy multimodal applications with Ollama.
By the end of this training, participants will be able to:
Set up and run multimodal models with Ollama.
Integrate text, image, and audio inputs for real-world applications.
Build document understanding and visual QA systems.
Develop multimodal agents capable of reasoning across modalities.
Format of the Course
Interactive lecture and discussion.
Hands-on practice with real multimodal datasets.
Live-lab implementation of multimodal pipelines using Ollama.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Mistral models represent open-source AI technologies that are expanding into multimodal workflows, effectively supporting both language and vision tasks for enterprise and research applications.
This instructor-led live training, available either online or onsite, targets intermediate-level machine learning researchers, applied engineers, and product teams aiming to develop multimodal applications using Mistral models, including OCR and document understanding pipelines.
Upon completion of this training, participants will be equipped to:
Configure and set up Mistral models for multimodal tasks.
Implement OCR workflows and seamlessly integrate them with NLP pipelines.
Design document understanding applications tailored for enterprise use cases.
Create vision-text search capabilities and assistive UI functionalities.
Course Format
Interactive lectures and discussions.
Practical coding exercises.
Live-lab implementation of multimodal pipelines.
Customization Options
To request customized training for this course, please contact us to make arrangements.
This instructor-led live training in Rome (online or on-site) targets intermediate-level data scientists and developers interested in implementing NLP techniques using Python within Google Colab.
By the conclusion of this training, participants will be able to:
Understand 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.
Advanced Debugging and Evaluation of Ollama Models is a comprehensive course dedicated to diagnosing, testing, and measuring the behavior of models within local or private Ollama deployments.
This instructor-led live training, available both online and onsite, targets advanced-level AI engineers, MLOps professionals, and QA practitioners who aim to ensure the reliability, fidelity, and operational readiness of Ollama-based models in production environments.
Upon completion of this training, participants will be equipped to:
Conduct systematic debugging of Ollama-hosted models and reliably reproduce failure modes.
Design and execute robust evaluation pipelines utilizing both quantitative and qualitative metrics.
Implement observability features—such as logs, traces, and metrics—to monitor model health and detect drift.
Automate testing, validation, and regression checks integrated into 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 arrange.
This instructor-led, live training in Rome (online or onsite) is designed for intermediate researchers, analysts, and knowledge workers who wish to leverage Claude AI for processing large volumes of data, synthesizing information, and automating research tasks.
By the end of this training, participants will be able to:
Use Claude AI for literature reviews and research synthesis.
Summarize reports, research papers, and long-form documents.
Extract key insights and trends from structured and unstructured data.
Integrate Claude AI into research and knowledge management workflows.
Devstral and Mistral models are open-source AI technologies designed for flexible deployment, fine-tuning, and scalable integration.
This instructor-led, live training (available online or onsite) targets intermediate to advanced ML engineers, platform teams, and research engineers who aim to self-host, fine-tune, and govern Mistral and Devstral models within 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 for domain-specific performance.
Implement versioning, monitoring, and lifecycle governance.
Ensure security, compliance, and responsible usage of open-source models.
Format of the Course
Interactive lecture and discussion.
Hands-on exercises in self-hosting and fine-tuning.
Live-lab implementation of governance and monitoring pipelines.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
LangGraph facilitates stateful, multi-actor workflows driven by LLMs, offering precise control over execution paths and state persistence. In the healthcare sector, these features are essential for ensuring compliance, interoperability, and the development of decision-support systems that align with medical workflows.
This instructor-led live training (available online or onsite) is designed for intermediate to advanced-level professionals who wish to design, implement, and manage LangGraph-based healthcare solutions while navigating regulatory, ethical, and operational challenges.
Upon completion of this training, participants will be able to:
Design healthcare-specific LangGraph workflows with compliance and auditability in mind.
Integrate LangGraph applications with medical ontologies and standards (FHIR, SNOMED CT, ICD).
Apply best practices for reliability, traceability, and explainability in sensitive environments.
Deploy, monitor, and validate LangGraph applications in 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 building stateful, multi-actor LLM applications as composable graphs with persistent state and control over execution.
This instructor-led, live training (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.
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 Rome (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 Rome (online or onsite) is aimed at advanced professionals who wish to fine-tune and customize AI models on Ollama for enhanced performance and 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.
Mistral is a family of high-performance large language models specifically optimized for cost-effective, large-scale production deployment.
This instructor-led training session, available either online or onsite, is designed for advanced infrastructure engineers, cloud architects, and MLOps leaders who aim to design, deploy, and optimize architectures based on Mistral to achieve maximum throughput while minimizing costs.
Upon completion of this training, participants will be capable of:
Implementing scalable deployment patterns for Mistral Medium 3.
Applying batching, quantization, and efficient serving techniques.
Optimizing inference costs without compromising performance.
Designing production-ready serving topologies tailored for enterprise workloads.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical applications.
Hands-on implementation within a live laboratory environment.
Customization Options
To request a customized training session for this course, please contact us to make arrangements.
This instructor-led, live training in Rome (online or in-person) 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 Rome (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 through AI-driven automation.
By the end of this training, participants will be able to:
Utilize the Claude AI API to integrate AI into applications.
Create 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 serves as a graph-based orchestration framework that facilitates conditional, multi-step workflows involving LLMs and tools, making it highly suitable for automating and personalizing content pipelines.
This instructor-led, live training (available online or onsite) is designed for intermediate-level marketers, content strategists, and automation developers seeking 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 incorporating conditional logic.
Integrate LLMs, APIs, and data sources to enable automated personalization.
Manage state, memory, and context across multi-step campaigns.
Evaluate, monitor, and optimize workflow performance and delivery outcomes.
Format of the Course
Interactive lectures and group discussions.
Hands-on labs focused on implementing email workflows and content pipelines.
Scenario-based exercises covering personalization, segmentation, and branching logic.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Le Chat Enterprise offers a private ChatOps solution that delivers secure, customizable, and governed conversational AI capabilities for organizations, featuring support for RBAC, SSO, connectors, and enterprise app integrations.
This instructor-led, live training (available online or onsite) targets intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who aim to deploy, configure, and govern Le Chat Enterprise within enterprise environments.
Upon completion of this training, participants will be capable of:
Setting up and configuring Le Chat Enterprise for secure deployments.
Enabling RBAC, SSO, and compliance-driven controls.
Integrating Le Chat with enterprise applications and data stores.
Designing and implementing governance and admin playbooks for ChatOps.
Course Format
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
Devstral is an open-source framework designed for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level ML engineers, developer-tooling teams, and SREs who wish to design, implement, and optimize coding agents using Devstral.
By the end of 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.
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 Rome (online or onsite) is designed for 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 Rome (online or onsite) is designed for intermediate-level professionals looking 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 serves as a framework for composing graph-structured workflows powered by large language models (LLMs), featuring support for branching, tool integration, memory management, and controllable execution.
This instructor-led live training, available online or onsite, is designed for intermediate-level engineers and product teams aiming to merge LangGraph’s graph logic with LLM agent loops to build dynamic, context-aware applications. Examples include customer support agents, decision trees, and information retrieval systems.
Upon completion of this training, participants will be capable of:
Designing graph-based workflows that coordinate LLM agents, tools, and memory.
Implementing conditional routing, retries, and fallback mechanisms for robust execution.
Integrating retrieval systems, APIs, and structured outputs into agent loops.
Evaluating, monitoring, and securing agent behavior to ensure reliability and safety.
Course Format
Interactive lectures and facilitated discussions.
Guided labs and code walkthroughs within a sandbox environment.
Scenario-based design exercises and peer reviews.
Customization Options
To request customized training for this course, please contact us to arrange.
This instructor-led, live training in Rome (online or onsite) is aimed at 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 Rome (online or onsite) is designed for intermediate-level professionals who want 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 to enhance model performance.
Evaluate and deploy fine-tuned models in real-world scenarios.
This instructor-led, live training, available either online or onsite, is aimed at data scientists, machine learning engineers, NLP researchers, and AI enthusiasts who wish to understand the inner workings of GPT models, explore the capabilities of GPT-3 and GPT-4, and learn how to leverage these models for their NLP tasks.
By the end of this training, participants will be able to:
Understand the key concepts and principles behind Generative Pre-trained Transformers.
Comprehend the architecture and training process of GPT models.
Utilize GPT-3 for tasks such as text generation, completion, and translation.
Explore the latest advancements in GPT-4 and its potential applications.
Apply GPT models to their own NLP projects and tasks.
This instructor-led, live training in Rome (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 serves as a framework for developing graph-structured applications powered by Large Language Models (LLMs), enabling features such as planning, branching, tool utilization, memory management, and controlled execution.
This instructor-led live training, available both online and onsite, is designed for developers at the beginner level, prompt engineers, and data professionals who aim to design and construct reliable, multi-step LLM workflows using LangGraph.
Upon completion of this training, participants will be equipped to:
Articulate core LangGraph concepts—including nodes, edges, and state—and understand when to apply them.
Construct prompt chains that support branching, tool invocation, and memory retention.
Integrate retrieval mechanisms and external APIs into graph-based workflows.
Test, debug, and evaluate LangGraph applications to ensure reliability and safety.
Course Format
Interactive lectures paired with facilitated discussions.
Guided laboratory sessions and code walkthroughs conducted within a sandbox environment.
Scenario-based exercises focusing on design, testing, and evaluation.
Customization Options
For those interested in customizing this training, please reach out to us to make arrangements.
Mistral Medium 3 is a high-performance, multimodal large language model engineered for robust, production-grade deployment across enterprise environments.
This instructor-led live training, available either online or onsite, is designed for intermediate to advanced AI/ML engineers, platform architects, and MLOps professionals seeking to deploy, optimize, and secure Mistral Medium 3 for complex enterprise use cases.
Upon completion of this training, participants will be equipped to:
Deploy Mistral Medium 3 via API services and self-hosted solutions.
Optimize inference performance while managing costs.
Implement diverse multimodal use cases leveraging Mistral Medium 3.
Apply security and compliance best practices tailored for enterprise settings.
Course Format
Interactive lectures and group discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live laboratory environment.
Customization Options
To request a tailored training experience for this course, please contact us to arrange details.
This instructor-led, live training in Rome (online or onsite) targets beginner-level professionals aiming to install, configure, and utilize Ollama for running AI models on their local machines.
Upon completion of this training, participants will be able to:
Grasp 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.
Unstructured data is estimated to comprise over 90 percent of all data, with a significant portion existing in text format. This vast amount of information is continuously expanded by blog posts, tweets, social media content, and other digital publications.
This instructor-led live course focuses on extracting insights and meaning from this data. By leveraging the R language and Natural Language Processing (NLP) libraries, we integrate concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically interpret the meaning behind textual data. Data samples are provided in various languages to meet specific customer needs.
By the conclusion of this training, participants will be capable of preparing datasets (both large and small) from diverse sources and applying appropriate algorithms to analyze and report on their significance.
Course Format
A blend of lectures and discussions, with a strong emphasis on hands-on practice and occasional assessments to evaluate understanding
This course is designed for managers, solution architects, innovation officers, CTOs, software architects, and any professional seeking a comprehensive understanding of applied artificial intelligence and its near-term development trajectory.
AI comprises a suite of technologies designed to create intelligent systems capable of comprehending data and the surrounding context to enable "intelligent decision-making." For telecom providers, developing applications and services that leverage AI can unlock significant improvements in operations and service delivery, particularly in areas such as maintenance and network optimization.
This course explores the various technologies that constitute AI and the skill sets necessary to implement them effectively. Throughout the program, we analyze AI’s specific applications within the telecom industry.
Audience
Network engineers
Network operations personnel
Telecom technical managers
Course Format
A blend of lectures, discussions, and hands-on exercises
This course is designed for developers and data scientists who want to understand and implement Artificial Intelligence in their applications. It focuses particularly on data analysis, distributed artificial intelligence, and natural language processing.
Chatbots are automated software applications designed to mimic human conversation through chat-based interfaces. They enable organizations to optimize operational efficiency by streamlining user interactions with faster and more accessible solutions.
During this instructor-led live training, participants will acquire the skills necessary to develop chatbots using Python.
Upon completing this training, participants will be capable of:
Grasping the core principles of chatbot development
Creating, testing, deploying, and resolving issues in various types of chatbots utilizing Python
Target Audience
Software Developers
Course Format
A blend of lectures, discussions, exercises, and extensive hands-on practice
Important Note
For customized training requests regarding this course, please contact us to arrange your schedule.
In this instructor-led live training in Rome, participants will learn how to use Python libraries for NLP by creating an application that processes a set of pictures and generates captions.
By the end of this training, participants will be able to:
Design and code DL for NLP using Python libraries.
Create Python code that reads a substantially huge collection of pictures and generates keywords.
Create Python Code that generates captions from the detected keywords.
This in-person training session will examine NLP techniques alongside their integration with AI and Robotics in business contexts. Participants will engage in computer-based exercises and case study problem-solving using Python.
This instructor-led live training, available online or onsite, is designed for developers and data scientists who want to leverage spaCy to process vast amounts of text, uncover patterns, and derive valuable insights.
Upon completing this training, participants will be able to:
Install and configure spaCy.
Grasp spaCy's approach to Natural Language Processing (NLP).
Extract patterns and gain business insights from large-scale data sources.
Integrate the spaCy library into existing web and legacy applications.
Deploy spaCy in live production environments to predict human behavior.
Utilize spaCy for text preprocessing for Deep Learning
Course Format
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
To learn more about spaCy, please visit: https://spacy.io/
In the realm of Machine Learning with Python, the Text Summarization feature enables the system to ingest input text and generate a concise summary. This functionality is accessible via the command line or through a Python API/Library. A notable application includes the swift generation of executive summaries, which proves invaluable for organizations that must analyze extensive volumes of text data prior to producing reports and presentations.
During this instructor-led live training, participants will acquire the skills to utilize Python for developing a straightforward application that automatically generates summaries of input text.
Upon completion of this training, participants will be able to:
Utilize a command-line tool for summarizing text.
Design and develop Text Summarization code using Python libraries.
Evaluate three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, and readless 1.0.17.
Audience
Developers
Data Scientists
Course Format
A blend of lectures, discussions, exercises, and extensive hands-on practice.
TensorFlow™ is an open-source software library designed for numerical computation via data flow graphs.
SyntaxNet serves as a neural network-based Natural Language Processing framework for TensorFlow.
Word2Vec is utilized for acquiring vector representations of words, known as "word embeddings." It is a highly computationally efficient predictive model for learning these embeddings from raw text. The model is available in two variants: the Continuous Bag-of-Words (CBOW) model and the Skip-Gram model (refer to Chapters 3.1 and 3.2 in Mikolov et al.).
By employing SyntaxNet and Word2Vec together, users can generate learned embedding models derived from Natural Language input.
Audience
This course is designed for developers and engineers who plan to integrate SyntaxNet and Word2Vec models into their TensorFlow workflows.
Upon completing this course, participants will be able to:
understand the structure and deployment mechanisms of TensorFlow
execute installation, production environment setup, architecture design, and configuration tasks
evaluate code quality, perform debugging, and implement monitoring
implement advanced production features such as model training, term embedding, graph construction, and logging
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Testimonials (5)
The course was very useful, and the trainer was clear, well-prepared, and engaging. I liked the fact that it was very practical with labs and real use cases.
Overall, it was a valuable training experience.
Mattia Dettori - MFM INVESTMENT Ltd Italian branch
Course - LLM Engineering Bootcamp
Examples and links excel repository
Olga - GE HealthCare
Course - Generative AI with Large Language Models (LLMs)
I really liked the end where we took the time to play around with CHAT GPT. The room was not set up the best for this- instead of one large table a couple of small ones so we could get into small groups and brainstorm would have helped
Nola - Laramie County Community College
Course - Artificial Intelligence (AI) Overview
Very knowledgeable
Usama Adam - TWPI
Course - Natural Language Processing with TensorFlow
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
Course - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
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