Online Natural Language Processing (NLP) Training in Kenya

This live, instructor-led training in Kenya empowers finance practitioners and IT personnel to implement Ollama locally. Learners will acquire the ability to deploy, configure, and integrate large language models into secure financial workflows, while applying best practices for compliance and automation.

This live session in Kenya empowers healthcare practitioners and IT teams to deploy Ollama for local LLMs. Discover how to integrate AI into clinical processes, tailor models for specialized tasks, and maintain rigorous data privacy and regulatory compliance within secure healthcare settings.

This hands-on training in Kenya is tailored for intermediate to advanced professionals seeking to build, deploy, and manage AI agents. The program focuses on leveraging Mistral Medium 3, Le Chat Enterprise, and Devstral to create robust enterprise and developer solutions, while integrating connectors, RAG patterns, and compliance standards.

This live training held in Kenya focuses on embedding Mistral conversational assistants into enterprise workflows. Attendees will acquire the skills to link SaaS tools, apply retrieval-augmented generation techniques, and create effective UX patterns for both customer-facing and internal chat interfaces.

This live, instructor-led training in Kenya guides beginners through applying Claude AI to customer support and service operations. Participants will master the automation of triage, the drafting of tone-appropriate responses, and the integration of AI into established workflows through practical, hands-on exercises.

This live Mistral Responsible AI training in Kenya is curated for compliance and security leaders. You will gain proficiency in privacy-preserving techniques, data residency strategies, and enterprise controls like RBAC and SSO to guarantee secure and compliant AI deployment.

This live training on Claude AI in Kenya empowers professionals to apply the tool to data analysis and BI tasks. The curriculum covers exploratory data analysis, SQL generation, and dashboard design through natural language prompting, with the goal of streamlining workflows and enhancing the extraction of insights from business data.

Gain expertise in building multimodal applications using Mistral models, with a focus on OCR, document intelligence, and vision-text search. This practical training covers pipeline implementation, NLP integration, and enterprise-grade architecture, delivered either online or in Kenya.

This instructor-led, live training in Kenya (online or in-person) is designed for intermediate-level data scientists and developers keen on applying NLP techniques using Python in Google Colab.

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

• Grasp the core concepts of natural language processing.
• Preprocess and clean text data for NLP tasks.
• Conduct sentiment analysis using NLTK and SpaCy libraries.
• Utilise Google Colab for text data management, supporting scalable and collaborative development.

This instructor-led, live training in Kenya (online or on-site) targets 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:

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

This instructor-led training in Kenya is tailored for machine learning engineers aiming to master the self-hosting and fine-tuning of Devstral and Mistral models. Participants will acquire practical skills in governance, monitoring, and compliance, enabling them to deploy open-source AI solutions with confidence in production settings.

This instructor-led, live training in Kenya (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 Kenya (online or onsite) is designed for advanced-level professionals who wish to fine-tune and customize AI models on Ollama to achieve 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.

Achieve mastery in building cost-efficient Mistral LLM architectures through this 14-hour live training held in Kenya. Gain the skills to deploy, optimize, and scale Mistral Medium 3 for peak throughput and minimal cost, leveraging batching, quantization, and streamlined serving strategies to handle enterprise workloads.

This instructor-led, live training in Kenya (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.
• Optimise 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 Kenya (online or onsite) targets intermediate-level software developers and AI engineers looking to integrate Claude AI into their applications, create AI-powered chatbots, and boost software functionality through AI-driven automation.

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

• Utilize the Claude AI API to incorporate 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 Kenya focuses on Le Chat Enterprise, a private ChatOps solution designed for secure, governed conversational AI. Learners will master the deployment, configuration, and integration of this platform with enterprise applications. The course enables the implementation of RBAC, SSO, and compliance-driven controls to drive scalable and secure AI workflows.

Gain proficiency in Devstral through this live training session held in Kenya. The curriculum addresses architecture, agentic workflow design, and tool integration. Designed for advanced engineers, the course utilizes hands-on labs to construct coding agents that elevate productivity and security within contemporary development ecosystems.

This instructor-led, live training in Kenya (online or onsite) is tailored 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 Kenya (online or onsite) 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.

This instructor-led, live training in Kenya (online or onsite) targets intermediate-level data scientists, AI developers, and enthusiasts who wish to utilize LLMs for various NLP tasks and produce novel, diverse content for different purposes.

Upon completion 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 Kenya (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.
• Fine-tune pre-trained models such as GPT, BERT, and T5 for specific NLP applications.
• Optimize hyperparameters to improve model performance.
• Evaluate and deploy fine-tuned models in real-world scenarios.

This instructor-led training in Kenya enables advanced AI engineers to deploy and secure Mistral Medium 3. Participants will learn to optimize inference costs, build multimodal use cases, and enforce enterprise compliance standards. The program includes hands-on labs covering both API and self-hosted implementations.

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

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

• Grasp the fundamentals of Ollama and its capabilities.
• Configure Ollama to run local AI models.
• Deploy and interact with LLMs using Ollama.
• Enhance performance and optimize resource usage for AI workloads.
• Investigate use cases for local AI deployment across various industries.

This two-day training programme is designed for developers who already utilize AI coding assistants like Cursor, Claude Code, or Copilot. The curriculum focuses on delegating end-to-end tasks to autonomous agents, constructing a personalization stack (comprising Rules, AGENTS.md, Skills, MCP, and Agents), establishing and configuring MCP servers, executing agents in parallel, and implementing structured agentic workflows. The content remains tool-agnostic and builds upon the Foundations course.

This two-day foundational course introduces AI-assisted software development to individuals with little or no coding background. It demystifies the mechanics of these tools, teaches effective prompting strategies, and demonstrates their application in practical scenarios such as building projects from the ground up, integrating with existing codebases, and evaluating outcomes. The curriculum is tool-agnostic, covering principles applicable to platforms like Cursor, Claude Code, and Copilot. This course serves as the prerequisite for the advanced Agentic AI Development: Advanced Workflows module.

This two-phase training initiative is tailored for software delivery teams aiming to embed AI-supported engineering practices into their routine operations through Claude Code.

This course in Kenya offers comprehensive Artificial Intelligence training, covering data analysis, distributed machine learning, and natural language processing to help developers build large-scale intelligent systems. It delves into practical applications of Spark MLlib, recommendation engines, Word2Vec semantic analysis, and RNN-LSTM architectures. The content empowers professionals to convert raw data into automated decision-making pipelines ready for production deployment, thereby enhancing core capabilities in building intelligent systems.

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

By the conclusion of the program, participants will be able to:

• Execute Messages API calls featuring system prompts, structured outputs, and streaming.
• Define tools and implement dependable tool-use loops.
• Link agents to external systems via MCP servers.
• Develop and run agents with the Claude Agent SDK, covering permissions and subagents.
• Minimize costs and latency through prompt caching and efficient context handling.
• Test, log, and monitor agent behavior using a curated evaluation set.

This instructor-led, live training in Kenya is designed for intermediate to advanced developers and tech leads aiming to configure and scale Claude Code for reliable team adoption.

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

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

This hands-on, instructor-led live training in Kenya is tailored for business users aiming to develop simple internal tools and prototypes.

Upon completing this training, participants will be equipped to:

• Articulate the requirements for a compact tool effectively so that AI systems can generate it
• Develop a functional prototype using Lovable
• Leverage Claude Code to create basic auxiliary tools with guided support
• Identify the appropriate moments when a prototype requires professional developer intervention

Located in Kenya, this live instructor-led training is tailored for knowledge workers and managers seeking to delegate comprehensive tasks to Claude.

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

• Comprehend the independent functionalities of Claude Cowork
• Assign duties related to research, document creation, and file management
• Oversee the planning, assessment, and correction of delegated work
• Identify limitations and apply safe usage practices

Instead of responding to individual prompts, Claude Cowork assumes responsibility for comprehensive workflows such as research, document drafting, and file management. This course guides participants on crafting effective assignments, validating execution plans, and evaluating final outcomes. Learners will delegate three practical tasks and configure a recurring job.

This live, instructor-led session in Kenya is designed for: knowledge workers, administrative assistants, and project or department heads seeking to delegate entire workflows to Claude rather than managing them interactively step-by-step.

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

• Distinguish between interactive chat usage and delegated task execution within Cowork
• Structure assignments that clearly define objectives, required materials, constraints, and success metrics
• Generate documents, spreadsheets, and presentations from specified folders
• Delegate research processes from initial inquiries to the delivery of final reports
• Leverage plugins, skills, and connectors within the Cowork environment
• Establish approval checkpoints, backup protocols, and secure folder permissions

Course Structure

• Duration: 1 day (7 hours)
• Engaging instruction led by a trainer, featuring discussions and hands-on exercises tailored to participants' specific use cases
• Day 1 Deliverables: Each participant will have delegated three real-world tasks to Cowork, assessed the outputs, and configured a scheduled task.

Customization Availability

• For inquiries regarding tailored training modules for this course, please contact us to make arrangements.

Ollama is an open-source tool designed to run large language models locally on consumer and enterprise hardware. It simplifies 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 preventing data transmission to OpenAI, Anthropic, or Google.