Natural Language Processing (NLP) Training in Belgrade

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 lightweight platform designed for running large language models locally.

This instructor-led, live training (available online or onsite) targets intermediate-level healthcare practitioners and IT teams seeking to deploy, customize, and operationalize Ollama-based AI solutions within clinical and administrative settings.

Upon completing this training, participants will be able to:

• Install and configure Ollama for secure use in healthcare settings.
• 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 lecture and discussion.
• Hands-on demonstrations and guided exercises.
• Practical implementation in a sandboxed healthcare simulation environment.

Course Customization Options

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

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

This instructor-led, live training (available online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to implement fairness, transparency, and accountability in Ollama-powered applications.

By the end 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 provides a robust suite of open-source and enterprise-ready AI models designed for language processing, multimodal applications, and agentic systems.

This instructor-led live training, available online or onsite, targets intermediate to advanced professionals aiming to create, deploy, and manage AI agents utilizing Mistral's Medium 3, Le Chat Enterprise, and Devstral models.

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

• Grasp the architecture and capabilities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
• Design and implement AI agents tailored for enterprise and developer scenarios using Mistral models.
• Incorporate coding systems, connectors, and enterprise data into agent workflows.
• Enhance performance, manage costs, and ensure compliance for agents powered by Mistral.

Course Format

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

Customization Options

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

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 who want to deploy Ollama with robust data privacy and regulatory compliance measures.

Upon completion 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 with secure deployment patterns.
• Compliance-focused case studies and practical exercises.

Course Customization Options

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

Claude AI is a sophisticated language model engineered to facilitate complex analytical, strategic, and organizational responsibilities.

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

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

• Generate essential project documentation, including charters, briefs, and scope statements, using Claude AI.
• Analyze risks, constraints, and dependencies through AI-supported reasoning.
• Develop tailored stakeholder communications and reporting outputs for diverse audiences.
• Utilize Claude AI to assist with sprint planning, prioritization efforts, and roadmap refinement.

Course Format

• Instructor-led explanations paired with guided demonstrations.
• Practical, hands-on exercises based on 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 integrated upon request.

Mistral AI operates as an open-source AI platform, empowering teams to construct and incorporate conversational assistants into both enterprise operations and customer-facing processes.

This instructor-led, live training session, available either online or onsite, targets beginner to intermediate-level product managers, full-stack developers, and integration engineers seeking to design, integrate, and commercialize conversational assistants utilizing Mistral connectors and integrations.

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

• Connect Mistral conversational models with enterprise and SaaS connectors.
• Execute retrieval-augmented generation (RAG) to ensure accurate, grounded responses.
• Create user experience (UX) patterns suitable for both internal and external chat assistants.
• Deploy assistants within product workflows to address practical, real-world scenarios.

Course Format

• Interactive lectures and discussions.
• Practical, hands-on integration exercises.
• Live laboratory development of conversational assistants.

Customization Options

• To arrange customized training for this course, please reach out to us.

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

This instructor-led live training (available online or onsite) targets intermediate practitioners seeking 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 techniques like priming and chain-of-thought structuring.
• Implement prompt templates and context management strategies.
• Build multi-stage prompting pipelines for complex workflows.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises in prompt design.
• Practical implementation in a live-lab environment.

Course Customization Options

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

Claude AI is a generative artificial intelligence system developed to aid in reasoning, content creation, knowledge retrieval, and workflow automation.

This instructor-led, live training session, available either online or onsite, is designed for beginner-level professionals looking to apply Claude AI to customer support and service operations tasks.

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

• Utilize Claude to expedite the support triage and classification process.
• Generate customer responses and summaries that maintain a 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 application of 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.

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

This instructor-led live training, available online or onsite, targets intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based legal solutions equipped with essential compliance, traceability, and governance controls.

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

• Developing legal-specific LangGraph workflows that ensure auditability and regulatory compliance.
• Incorporating legal ontologies and document standards into graph states and processing mechanisms.
• Establishing guardrails, human-in-the-loop approval processes, and traceable decision pathways.
• Deploying, monitoring, and maintaining LangGraph services in production environments with robust observability and cost management.

Course Format

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

Customization Options

• For customized training requests, please reach out to us to arrange your specific needs.

Mistral AI serves as an open, enterprise-ready AI platform designed to facilitate secure, compliant, and responsible AI deployment through its robust feature set.

This instructor-led training, available online or onsite, targets intermediate-level compliance leads, security architects, and legal/ops stakeholders who aim to implement responsible AI practices using Mistral. The course focuses on leveraging privacy safeguards, data residency controls, and enterprise management mechanisms.

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

• Deploying privacy-preserving techniques within Mistral environments.
• Applying data residency strategies to ensure regulatory compliance.
• Configuring enterprise-grade controls, including RBAC, SSO, and audit logging.
• Evaluating vendor and deployment options to align 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

• For customized training arrangements, please contact us.

Ollama serves as a platform for executing large language and multimodal models both locally and at scale.

This instructor-led, live training (available online or onsite) targets intermediate to advanced engineers aiming to scale Ollama deployments for environments that require multi-user support, high throughput, and cost efficiency.

Upon completing this training, participants will be equipped to:

• Configure Ollama for distributed workloads and multi-user scenarios.
• Optimize the allocation of CPU and GPU 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 focused on 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 details.

The CANN SDK (Compute Architecture for Neural Networks) delivers robust deployment and optimization capabilities for real-time AI applications in computer vision and natural language processing, particularly on Huawei Ascend hardware.

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

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

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

Course Format

• Interactive lectures combined with live demonstrations.
• Practical labs focused on model deployment and performance profiling.
• Designing live pipelines using real-world CV and NLP use cases.

Customization Options

• For customized training requests, please reach out to us to arrange.

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 for constructing stateful, multi-agent LLM applications through composable graphs, featuring persistent state and execution control.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based financial solutions with appropriate governance, observability, and compliance measures.

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

• Creating finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrating financial data standards and ontologies into graph states and tooling.
• Establishing reliability, safety, and human-in-the-loop controls for critical processes.
• Deploying, monitoring, and optimizing LangGraph systems to meet performance, cost, and SLA targets.

Course Format

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

Customization Options

• For customized training requests, please contact us to arrange details.

Ollama serves as a platform that allows for the local execution and fine-tuning of large language models as well as multimodal models.

This guided, live training—available either online or in-person—is designed for advanced machine learning engineers, AI researchers, and product developers who aim to create and deploy multimodal applications using Ollama.

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

• Configure and operate multimodal models via Ollama.
• Integrate text, image, and audio inputs for practical applications.
• Construct systems for document understanding and visual question answering.
• Develop multimodal agents capable of reasoning across different data types.

Course Format

• Interactive lectures and discussions.
• Practical exercises using real-world multimodal datasets.
• Live laboratory sessions implementing multimodal pipelines with Ollama.

Customization Options

• For customized training arrangements, please reach out to us.

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 in Belgrade (online or onsite) targets intermediate-level data scientists and developers who aim to apply NLP techniques using Python in Google Colab.

By the end 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 designed to help you diagnose, test, and measure the behavior of models deployed locally or in private environments using Ollama.

This live, instructor-led training is available both online and on-site. It is tailored for advanced AI engineers, MLOps professionals, and QA practitioners who want to ensure that their Ollama-based models are reliable, accurate, and ready for production use.

Upon completing this training, participants will be able to:

• Systematically debug models hosted on Ollama and reliably reproduce failure scenarios.
• Create and run robust evaluation pipelines using both quantitative and qualitative metrics.
• Implement observability tools (logs, traces, metrics) to monitor model health and detect drift.
• Automate 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 arrange.

This instructor-led live training in Belgrade (online or onsite) targets intermediate-level researchers, analysts, and knowledge workers who wish to leverage Claude AI for processing large data volumes, 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 (online or onsite) is aimed at intermediate–level to advanced–level ML engineers, platform teams, and research engineers who wish 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 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 empowers the creation of stateful, multi-actor workflows driven by Large Language Models (LLMs), offering precise control over execution paths and state management. In the healthcare sector, these capabilities are essential for ensuring compliance, enabling interoperability, and developing decision-support systems that seamlessly align with clinical workflows.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based solutions for healthcare while navigating regulatory, ethical, and operational complexities.

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

• Design LangGraph workflows tailored to healthcare needs, prioritizing compliance and auditability.
• Integrate LangGraph applications with established medical ontologies and standards, including FHIR, SNOMED CT, and ICD.
• Apply best practices for reliability, traceability, and explainability within sensitive operational environments.
• Deploy, monitor, and validate LangGraph applications in real-world healthcare production settings.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises utilizing real-world case studies.
• Practical implementation in a live laboratory environment.

Customization Options

• To request a customized version of this training, please contact us to make arrangements.

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

This instructor-led live training, available both online and onsite, targets advanced AI platform engineers, AI DevOps specialists, and ML architects seeking to optimize, debug, monitor, and manage production-grade LangGraph systems.

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

• Designing and optimizing complex LangGraph topologies to enhance speed, reduce costs, and ensure scalability.
• Engineering reliability through the implementation of retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
• Debugging and tracing graph executions, inspecting states, and systematically reproducing production issues.
• Instrumenting graphs with logs, metrics, and traces; deploying to production environments; and monitoring SLAs and costs.

Course Format

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

Customization Options

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

This instructor-led, live training in Belgrade (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 Belgrade (online or onsite) is aimed at advanced-level 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 high-performance family of large language models optimized for cost-effective production deployment at scale.

This instructor-led, live training (online or onsite) is aimed at advanced-level infrastructure engineers, cloud architects, and MLOps leads who wish to design, deploy, and optimize Mistral-based architectures for maximum throughput and minimum cost.

By the end of 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 while maintaining performance.
• Design production-ready serving topologies for enterprise workloads.

Course Format

• 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 Belgrade (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 Belgrade (online or onsite) is aimed at intermediate-level software developers and AI engineers who wish to integrate Claude AI into their applications, build AI-powered chatbots, and enhance software functionality with AI-driven automation.

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

• Use 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 different use cases.

LangGraph is a graph-based orchestration framework designed to facilitate conditional, multi-step workflows involving LLMs and tools, making it highly suitable for automating and personalizing content pipelines.

This instructor-led, live training—available both online and onsite—is tailored for intermediate-level marketers, content strategists, and automation developers looking to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.

Upon completing 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.

Course Format

• 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 session for this course, please contact us to arrange.

Le Chat Enterprise is a confidential ChatOps platform that delivers secure, customizable, and governed conversational AI capabilities for organizations, supporting RBAC, SSO, connectors, and enterprise application integrations.

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

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

• Set up and configure Le Chat Enterprise for secure deployments.
• Enable RBAC, SSO, and compliance-driven controls.
• Integrate Le Chat with enterprise applications and data stores.
• Design and implement governance and admin playbooks for ChatOps.

Format of the Course

• Interactive lecture and discussion.
• Extensive 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.

Devstral is an open-source framework engineered to build and operate coding agents capable of interacting with codebases, developer utilities, 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 who aim to design, implement, and optimize coding agents using Devstral.

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

• Set up and configure Devstral for coding agent development.
• Design agentic workflows for exploring and modifying codebases.
• 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 within a live-lab environment.

Customization Options

• To request a customized version of this course, please contact us to arrange.

This instructor-led, live training in Belgrade (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 Belgrade (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 facilitate branching, tool utilization, memory management, and controllable execution.

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

By the conclusion 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 mechanisms, APIs, and structured outputs into agent loops.
• Evaluate, monitor, and harden agent behavior for reliability and safety.

Course Format

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

Customization Options

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

This instructor-led, live training in Belgrade (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 Belgrade (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:

• Grasp the core concepts behind fine-tuning for NLP applications.
• Apply fine-tuning techniques to pre-trained models like GPT, BERT, and T5 for targeted NLP use cases.
• Adjust hyperparameters to boost model effectiveness.
• Assess and implement fine-tuned models in practical, real-world settings.

This instructor-led live training, offered online or onsite, is intended for 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 Belgrade (online or on-site) 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 specialized framework designed for constructing large language model (LLM) applications structured as graphs, enabling capabilities such as planning, branching logic, tool integration, memory management, and controlled execution.

This instructor-led live training session (available online or on-site) is tailored for developers, prompt engineers, and data professionals at the beginner level who aim to design and implement reliable, multi-step LLM workflows utilizing LangGraph.

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

• Articulate core LangGraph concepts, including nodes, edges, and state, and identify appropriate use cases for each.
• 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 combined with guided discussions.
• Hands-on labs and code walkthroughs conducted within a sandbox environment.
• Scenario-based exercises focusing on design, testing, and evaluation methodologies.

Customization Options

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

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 Belgrade (online or onsite) targets beginner-level professionals aiming to install, configure, and use Ollama for running AI models on their local machines.

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

• Grasp the core principles and capabilities of Ollama.
• Configure Ollama for executing local AI models.
• Deploy and interact with LLMs using Ollama.
• Enhance performance and manage resources for AI workloads.
• Examine application scenarios for local AI deployment across various sectors.

It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data.

This instructor-led, live course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements.

By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance.

Format of the Course

• Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding

Designed for managers, solutions architects, innovation officers, CTOs, software architects, and anyone curious about applied artificial intelligence and its near-term trajectory, this course provides a comprehensive overview.

AI comprises a suite of technologies designed to build intelligent systems that can interpret data and the context surrounding it to make "informed decisions." For telecom providers, leveraging AI in applications and services can unlock opportunities to enhance operations and service delivery, particularly in areas like maintenance and network optimization.

This course explores the diverse technologies that constitute AI and the skill sets necessary to implement them. Throughout the curriculum, we analyze specific AI applications within the telecommunications industry.

Audience

• Network engineers
• Network operations personnel
• Telecom technical managers

Format of the course

• A blend of lectures, discussions, and hands-on exercises

This course is designed for developers and data scientists who wish to understand and implement artificial intelligence in their practical applications. It focuses specifically on data analysis, distributed AI, and natural language processing.

Chatbots are automated computer programs that mimic human conversation through chat interfaces. They assist organizations in optimizing operational efficiency by offering streamlined and rapid solutions for user interactions.

In this instructor-led live training, participants will acquire the skills necessary to create chatbots using Python.

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

• Grasp the fundamental principles of chatbot development
• Construct, evaluate, deploy, and debug various types of chatbots using Python

Target Audience

• Software Developers

Course Format

• A combination of lectures, discussions, exercises, and intensive hands-on practice

Important Note

• To arrange a customized training session for this course, please get in touch with us.

In this instructor-led live training in Belgrade, participants will learn to utilize Python libraries for NLP by building an application that processes images and generates captions.

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

• Design and code Deep Learning for NLP using Python libraries.
• Create Python code that processes a large volume of images and generates keywords.
• Produce Python code that generates captions from the identified keywords.

This instructor-led training session examines NLP techniques alongside the practical application of AI and Robotics in business contexts. Participants will engage in computer-based examples and case study exercises using Python.

This instructor-led, live training (online or onsite) targets developers and data scientists eager to leverage spaCy for processing massive text volumes, uncovering patterns, and deriving actionable insights.

Upon completing this training, participants will be capable of:

• Installing and configuring spaCy.
• Gaining a thorough understanding of spaCy's approach to Natural Language Processing (NLP).
• Extracting patterns and deriving business insights from large-scale data sources.
• Integrating the spaCy library into existing web and legacy applications.
• Deploying spaCy in live production environments to predict human behavior.
• Utilizing spaCy for text pre-processing in Deep Learning workflows.

Course Format

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

Customization Options

• To arrange a customized training session, please contact us.
• For more information on spaCy, visit: https://spacy.io/

In the realm of Python Machine Learning, the Text Summarization feature reads input text and generates a concise summary. This capability can be accessed via the command line or as a Python API/Library. A notable application is the swift creation of executive summaries, which is especially beneficial for organizations that need to review extensive text data before producing reports and presentations.

In this instructor-led live training, participants will learn how to use Python to build a simple application that auto-generates summaries of input text.

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

• Use a command-line tool to summarize text.
• Design and create 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

Format of the course

• Part lecture, part discussion, exercises, and heavy 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 learning vector representations of words, known as 'word embeddings'. It is a highly computationally efficient predictive model for deriving word embeddings from raw text. It offers two variants: the Continuous Bag-of-Words model (CBOW) and the Skip-Gram model (refer to Chapters 3.1 and 3.2 in Mikolov et al.).

By combining SyntaxNet and Word2Vec, users can generate learned embedding models from Natural Language inputs.

Audience

This course is designed for developers and engineers who plan to work with SyntaxNet and Word2Vec models within their TensorFlow graphs.

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

• understand the structure and deployment mechanisms of TensorFlow
• execute installation, production environment setup, architecture tasks, and configuration
• assess code quality, perform debugging, and monitor performance
• implement advanced production-like activities such as training models, embedding terms, building graphs, and logging