Natural Language Processing (NLP) Training in Istanbul

This instructor-led live training in Istanbul empowers finance practitioners and IT personnel with the ability to deploy Ollama locally. Participants will learn to configure and integrate large language models into secure financial workflows, adhering to compliance and automation best practices.

This live session in Istanbul empowers healthcare practitioners and IT teams to implement Ollama for local LLM execution. Participants will learn to embed AI into clinical workflows, tailor models for specialized tasks, and maintain rigorous data privacy and regulatory compliance within protected healthcare settings.

This practical training in Istanbul is tailored for intermediate to advanced professionals looking to create, launch, and oversee AI agents. Discover how to utilize Mistral Medium 3, Le Chat Enterprise, and Devstral to handle complex enterprise and developer needs, while integrating connectors, RAG patterns, and compliance standards.

This live training in Istanbul focuses on embedding Mistral conversational assistants into enterprise workflows. Learners will acquire the skills to link SaaS tools, implement retrieval-augmented generation, and craft effective UX patterns for both customer-facing and internal chat interfaces.

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

This live Mistral Responsible AI training in Istanbul is specifically curated for compliance and security leaders. You will gain mastery over privacy-preserving methods, data residency planning, and enterprise controls like RBAC and SSO, ensuring your AI deployments remain both secure and compliant.

This live Claude AI training in Istanbul empowers professionals to apply the tool for data analysis and BI operations. It addresses exploratory data analysis, SQL generation, and dashboard design through natural language prompting, with the goal of optimizing workflows and enhancing insight extraction from business data.

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

This instructor-led live training in Istanbul (online or onsite) targets intermediate-level data scientists and developers looking 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.

This instructor-led, live training in Istanbul (online or onsite) is designed for intermediate-level 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.

This instructor-led training in Istanbul is tailored for ML engineers looking to master the self-hosting and fine-tuning of Devstral and Mistral models. Participants will acquire practical skills in governance, monitoring, and compliance to deploy open-source AI confidently in production environments.

This instructor-led, live training in Istanbul (online or onsite) targets beginner to intermediate content creators, writers, and marketers who wish 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 expanding ideas.
• 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 Istanbul (online or onsite) is designed for advanced-level professionals seeking to fine-tune and customize AI models on Ollama to enhance performance and support domain-specific applications.

Upon completion 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 improved performance, accuracy, and efficiency.
• Deploy customized models within production environments.
• Assess model improvements and ensure system robustness.

Develop proficiency in cost-effective Mistral LLM architectures through this 14-hour live training held in Istanbul. Gain the skills to deploy, optimize, and scale Mistral Medium 3 for maximum throughput and minimum cost by leveraging batching, quantization, and efficient serving strategies designed for enterprise workloads.

This live, instructor-led training in Istanbul (online or on-site) is tailored for advanced-level professionals who aim 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 Istanbul (online or onsite) is designed for intermediate-level software developers and AI engineers who aim to integrate Claude AI into their applications, create AI-driven chatbots, and enhance software functionality through AI-based automation.

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

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

This live training in Istanbul explores Le Chat Enterprise, a private ChatOps platform for secure, governed conversational AI. Participants will learn to deploy, configure, and integrate the solution with enterprise applications, mastering RBAC, SSO, and compliance controls to drive scalable and secure AI workflows.

Gain mastery over Devstral in this live session hosted in Istanbul. The curriculum delves into system architecture, agentic workflow design, and seamless tool integration. Tailored for senior engineers, the program leverages hands-on labs to construct coding agents that elevate both productivity and security within contemporary development ecosystems.

This instructor-led, live training in Istanbul (online or onsite) is designed for beginner-level professionals looking to integrate Claude AI into their daily workflows to enhance efficiency and automation.

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

• Leverage Claude AI to automate repetitive tasks and streamline workflows.
• Boost personal and team productivity through AI-powered automation.
• Seamlessly integrate Claude AI with existing business tools and platforms.
• Optimize AI-driven decision-making and task management.

This instructor-led live training in Istanbul (online or onsite) is designed for intermediate-level professionals who wish to deploy, optimize, and integrate LLMs using Ollama.

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

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

This instructor-led, live training in Istanbul (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 Istanbul (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 fundamentals of fine-tuning for NLP tasks.
• Apply fine-tuning to pre-trained models such as GPT, BERT, and T5 for specific NLP applications.
• Tune hyperparameters to boost model performance.
• Assess and deploy fine-tuned models in real-world scenarios.

This instructor-led session in Istanbul empowers senior AI engineers to deploy and secure Mistral Medium 3 effectively. Participants will learn to optimize inference expenses, build multimodal solutions, and enforce enterprise compliance standards. The program features practical labs covering both API and self-hosted implementations.

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

Upon completing this training, participants will be able to:

• Grasp the core principles and capabilities of Ollama.
• Configure Ollama for local AI model execution.
• Deploy and interact with LLMs using Ollama.
• Enhance performance and resource efficiency for AI workloads.
• Examine real-world use cases for local AI deployment across various industries.

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

This two-day course introduces AI-assisted software development, designed for individuals new to these tools, including those with minimal or no coding background. It explores the mechanics of these tools, prompt engineering techniques, and practical applications for common tasks such as building projects from scratch, navigating existing codebases, and reviewing outputs. The content is tool-agnostic, relevant to Cursor, Claude Code, Copilot, and similar platforms. This course serves as a prerequisite for the Agentic AI Development: Advanced Workflows course.

This two-part training program is designed for software delivery teams aiming to integrate AI-enhanced engineering workflows into their daily activities using Claude Code.

This course provides artificial intelligence technical training in Istanbul, covering data analysis, distributed machine learning, and natural language processing to help developers build large-scale intelligent systems. The content delves into practical methods for Spark MLlib, recommendation engines, Word2Vec semantic analysis, and RNN-LSTM architectures, empowering professionals to transform raw data into automated decision pipelines deployable in production environments, thereby comprehensively enhancing core capabilities in building intelligent systems

This live, instructor-led training in Istanbul is tailored for intermediate developers looking to design, implement, and test AI agents using the Claude API and Agent SDK.

By the conclusion of this session, attendees will be equipped to:

• Utilize the Messages API with system prompts, structured data outputs, and streaming
• Create tools and establish a consistent tool-use workflow
• Link agents to external resources via MCP servers
• Construct and operate agents with the Claude Agent SDK, managing permissions and subagents
• Lower costs and latency by employing prompt caching and optimized context management
• Assess, record, and supervise agent actions using a compact evaluation set

This live, instructor-led training in Istanbul is targeted at intermediate to advanced developers and tech leads who are looking to configure and scale Claude Code for dependable team operations.

By the conclusion of this program, participants will be equipped to:

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

This live, instructor-led program in Istanbul is specifically tailored for: Business professionals looking to develop simple internal tools and prototypes.

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

• Describe a small tool in a way that allows AI to construct it
• Create a working prototype using Lovable
• Utilize Claude Code for simple helper tools with guided support
• Recognize when a prototype requires input from a developer

Delivered in Istanbul, this live, instructor-led course is designed for knowledge workers and managers who aim to assign full task cycles to Claude.

By the end of the session, learners will be able to:

• Comprehend the independent operational scope of Claude Cowork.
• Offload responsibilities concerning research, documents, and files.
• Coordinate planning, quality assurance, and corrections for delegated work.
• Identify limitations and apply safe operational protocols.

Claude Cowork transitions from handling individual prompts to managing comprehensive tasks such as research, document preparation, and file operations. This course guides you on creating effective assignments, verifying plans, and reviewing outcomes. Participants will delegate three practical tasks and configure a scheduled task.

This live, instructor-led training in Istanbul is tailored for knowledge workers, assistants, and project or department heads who aim to delegate complete tasks to Claude rather than engaging in step-by-step chats.

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

• Distinguish between chat-based interactions and delegated work in Cowork
• Formulate assignments with defined goals, materials, constraints, and acceptance criteria
• Generate documents, spreadsheets, and presentations from a folder
• Delegate research from initial questions to final reports
• Utilize plugins, skills, and connectors within Cowork
• Define approval points, backups, and secure folder access

Course Format

• Duration: 1 day (7 hours)
• Interactive training with a trainer, including discussions and hands-on exercises based on participants' own use cases
• Day 1 Outcome: Each participant will have delegated three real tasks to Cowork, reviewed the results, and set up a scheduled task.

Course Customization Options

• Please contact us to request a customized training for this course.

Ollama is an open-source utility that enables the local execution of large language models on consumer and enterprise hardware. It simplifies the complexities of model quantization, GPU allocation, and API serving through a single command-line interface, allowing organizations to self-host LLMs like Llama, Mistral, and Qwen while keeping prompts and data away from OpenAI, Anthropic, or Google.