Our instructor-led Natural Language Processing (NLP) training, available either online or onsite, uses interactive discussions and practical exercises to demonstrate how to derive insights and meaning from unstructured data. By leveraging programming languages like Python and R along with specialized Natural Language Processing (NLP) libraries, our courses blend principles from computer science, artificial intelligence, and computational linguistics, guiding learners to interpret the meaning behind text data. Participants are taken step-by-step through evaluating and applying appropriate algorithms to analyse data and communicate its significance effectively.
NLP training is offered as "online live training" or "onsite live training". Online live training (also referred to as "remote live training") is delivered through an interactive, remote desktop. Onsite live training can be conducted locally at customer premises in Nepal or at NobleProg corporate training centres in Nepal.
NobleProg -- Your Local Training Provider
Nepal, Kathmandu - Classroom
near Soaltee, Tahachal Marg, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Tahachal Marg with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Nepal, Thamel, KTM - Classroom
near Radisson , Ward 2, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Thamel, with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Ollama serves as a lightweight platform designed for running large language models locally.
This instructor-led live training, available both online and onsite, targets intermediate-level finance professionals and IT staff who aim to implement, customize, and operationalize Ollama-based AI solutions within financial environments.
Upon completing this training, participants will acquire the necessary skills to:
Deploy and configure Ollama for secure usage in financial operations.
Integrate local large language models (LLMs) into analytical and reporting workflows.
Adapt models to align with finance-specific terminology and tasks.
Apply best practices for security, privacy, and compliance.
Format of the Course
Interactive lectures and discussions.
Hands-on exercises involving financial data.
Live-lab implementation of finance-focused scenarios.
Course Customization Options
To request a customized training version of this course, please contact us to make arrangements.
Ollama is a lightweight platform designed for running large language models locally.
This instructor-led, live training (available online or onsite) is tailored for 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 to ensure secure usage 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.
Format of the Course
Interactive lecture and discussion.
Hands-on demonstrations and guided exercises.
Practical implementation in a sandboxed healthcare simulation environment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
Ollama serves as a platform for executing large language and multimodal models locally, thereby supporting governance and responsible AI practices.
This instructor-led, live training, available either online or onsite, is designed for intermediate to advanced-level professionals who aim to embed fairness, transparency, and accountability into applications powered by Ollama.
Upon completion of this training, participants will be capable of:
Applying responsible AI principles within Ollama deployments.
Implementing strategies for content filtering and bias mitigation.
Designing governance workflows to ensure AI alignment and auditability.
Establishing monitoring and reporting frameworks to meet compliance requirements.
Course Format
Interactive lectures and discussions.
Hands-on labs focused on governance workflow design.
Case studies and exercises centred on compliance.
Course Customization Options
To arrange a customized training session for this course, please contact us.
Mistral AI offers a robust suite of open-source and enterprise-grade AI models designed for language processing, multimodal applications, and agentic capabilities.
This instructor-led training, available online or onsite, targets intermediate to advanced professionals aiming to build, deploy, and manage AI agents using Mistral’s Medium 3, Le Chat Enterprise, and Devstral models.
Upon completion of this training, participants will be equipped to:
Grasp the architecture and functionalities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
Design and implement AI agents tailored for enterprise and developer scenarios using Mistral models.
Integrate coding systems, connectors, and enterprise data into agent workflows.
Enhance performance, manage costs, and ensure compliance for Mistral-powered agents.
Course Format
Engaging lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation in a live-lab environment.
Customization Options
For customized training requests, please contact us to arrange.
Ollama is a platform that enables the local execution of large language and multimodal models while supporting secure deployment strategies.
This instructor-led live training, available online or onsite, is designed for intermediate-level professionals looking to deploy Ollama with robust data privacy and regulatory compliance measures.
By the conclusion of this training, participants will be able to:
Deploy Ollama securely in containerized and on-premises environments.
Apply differential privacy techniques to protect sensitive data.
Implement secure logging, monitoring, and auditing practices.
Enforce data access controls aligned with compliance requirements.
Format of the Course
Interactive lectures and discussions.
Hands-on labs focusing on secure deployment patterns.
Compliance-focused case studies and practical exercises.
Course Customization Options
To request customized training for this course, please contact us to arrange it.
Claude AI is a sophisticated language model engineered to facilitate complex analytical, strategic, and organizational challenges.
This instructor-led live training, available both online and on-site, is tailored for beginner-level project management and planning professionals aiming to utilize Claude AI to enhance project design, documentation, communication, and long-term planning efforts.
Upon completion of this training, participants will be equipped to:
Generate project documentation, including charters, briefs, and scope statements, using Claude AI.
Analyze risks, constraints, and dependencies through AI-supported reasoning.
Develop stakeholder communications and reporting materials customized for various audiences.
Utilize Claude AI to assist in sprint planning, task prioritization, and roadmap refinement.
Course Delivery Format
Combination of instructor-led explanations and guided demonstrations.
Practical 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 incorporated upon request.
Mistral AI offers an open-source AI platform that empowers teams to build and integrate conversational assistants into enterprise operations and customer-facing workflows.
This instructor-led training session, available both online and on-site, is designed for beginner to intermediate product managers, full-stack developers, and integration engineers. It focuses on teaching participants how to design, integrate, and productize conversational assistants using Mistral connectors and integrations.
Upon completing this training, participants will be able to:
Integrate Mistral conversational models with enterprise and SaaS connectors.
Implement retrieval-augmented generation (RAG) to ensure grounded and accurate responses.
Design user experience (UX) patterns for both internal and external chat assistants.
Deploy assistants into product workflows to address real-world use cases.
Course Format
Interactive lectures and discussions.
Hands-on integration exercises.
Live lab sessions for developing conversational assistants.
Course Customization Options
For customized training tailored to your specific needs, please contact us to make arrangements.
Ollama is a platform that enables running large language and multimodal models locally.
This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to master prompt engineering techniques to optimize Ollama outputs.
By the end of this training, participants will be able to:
Design effective prompts for diverse use cases.
Apply techniques such as priming and chain-of-thought structuring.
Implement prompt templates and context management strategies.
Build multi-stage prompting pipelines for complex workflows.
Format of the Course
Interactive lecture and discussion.
Hands-on exercises with prompt design.
Practical implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
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 for constructing stateful, multi-actor LLM applications through composable graphs, enabling persistent state management and precise control over execution flow.
This instructor-led live training, available online or on-site, targets intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based legal solutions, ensuring necessary compliance, traceability, and governance controls.
Upon completion of this training, participants will be equipped to:
Design LangGraph workflows tailored for legal requirements that maintain auditability and compliance.
Integrate legal ontologies and document standards into graph states and processing logic.
Implement guardrails, human-in-the-loop approval mechanisms, and traceable decision paths.
Deploy, monitor, and maintain LangGraph services in production environments with robust observability and cost management.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical sessions.
Hands-on implementation within a live laboratory environment.
Customization Options
For customized training arrangements, please reach out to us to coordinate.
Mistral AI offers an open, enterprise-ready platform designed to facilitate the secure, compliant, and responsible deployment of AI solutions.
This instructor-led training, available both online and on-site, is tailored for intermediate-level compliance leads, security architects, and legal or operations stakeholders. The programme focuses on embedding responsible AI practices within Mistral by utilising advanced privacy, data residency, and enterprise control mechanisms.
Upon completion of this training, participants will be equipped to:
Deploy privacy-preserving techniques within Mistral environments.
Apply data residency strategies to satisfy regulatory mandates.
Establish enterprise-grade controls, including RBAC, SSO, and audit logging.
Assess vendor and deployment choices to ensure alignment with compliance standards.
Course Format
Interactive lectures and discussions.
Compliance-oriented case studies and practical exercises.
Hands-on configuration of enterprise AI controls.
Customisation Options
For bespoke training arrangements, please contact us directly.
Ollama serves as a platform designed for executing large language and multimodal models on local machines and at scale.
This guided, live training session, available either online or in-person, targets engineers at intermediate to advanced levels who aim to expand their Ollama deployments to support multiple users, achieve high throughput, and maintain cost-effective environments.
Upon completing this training, participants will gain the ability to:
Set up Ollama to handle multi-user and distributed workloads effectively.
Fine-tune the allocation of GPU and CPU resources.
Apply strategies for autoscaling, batching, and reducing latency.
Monitor and enhance infrastructure performance while ensuring cost efficiency.
Course Structure
Engaging lectures and group discussions.
Practical labs focused on deployment and scaling.
Real-world optimization exercises conducted in live environments.
Customization Options
For tailored training on this topic, please reach out to us to discuss your requirements.
The CANN SDK (Compute Architecture for Neural Networks) delivers robust deployment and optimization capabilities for real-time AI applications in computer vision and NLP, particularly on Huawei Ascend hardware.
This instructor-led, live training (available online or onsite) targets intermediate-level AI professionals seeking to build, deploy, and optimize vision and language models using the CANN SDK for production-grade solutions.
Upon completion of this training, participants will be equipped to:
Deploy and optimize CV and NLP models leveraging CANN and AscendCL.
Utilize CANN utilities to convert models and seamlessly integrate them into active pipelines.
Enhance inference performance for tasks such as detection, classification, and sentiment analysis.
Construct real-time CV/NLP pipelines suitable for edge or cloud-based deployment environments.
Course Format
Interactive lectures combined with practical demonstrations.
Hands-on labs focusing on model deployment and performance profiling.
Live pipeline design exercises utilizing real-world CV and NLP use cases.
Customization Options
To request a customized training session for this course, please contact us to make arrangements.
Claude AI is a sophisticated language and reasoning engine designed to support structured data operations, analytical processes, and enhancements to business intelligence.
This instructor-led training, available online or on-site, targets professionals at beginner to intermediate levels who aim to utilise Claude to speed up data analysis, derive insights, and simplify BI workflows.
Upon completion of this course, participants will be equipped to:
Utilise Claude for ad-hoc exploratory data analysis.
Create SQL queries, summaries, and data transformations using natural language instructions.
Efficiently design dashboards, KPIs, and analytical views with Claude's assistance.
Interpret business data with greater precision through structured, AI-assisted reasoning.
Course Format
Guided demonstrations and interactive discussions led by an instructor.
Practical exercises using real-world business datasets.
Application of Claude in BI-focused scenarios.
Customisation Options
For customisation tailored to your specific internal BI tools or workflows, please contact us to arrange a bespoke version of this course.
LangGraph serves as a framework for constructing stateful, multi-agent LLM applications through composable graphs, enabling persistent state management and precise execution control.
This instructor-led live training, available online or onsite, targets intermediate to advanced professionals seeking to design, implement, and manage finance solutions based on LangGraph, ensuring proper governance, observability, and compliance.
Upon completion of this training, participants will be able to:
Develop finance-specific LangGraph workflows that align with regulatory and audit requirements.
Integrate financial data standards and ontologies into graph states and tooling.
Implement reliability, safety, and human-in-the-loop controls for critical operations.
Deploy, monitor, and optimize LangGraph systems to enhance performance, manage costs, and meet SLAs.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live laboratory environment.
Customization Options
To request custom training for this course, please contact us to arrange.
Ollama is a platform designed to facilitate the local execution and fine-tuning of large language models (LLMs) and multimodal models.
This instructor-led live training, available both online and onsite, targets advanced ML engineers, AI researchers, and product developers seeking to create and deploy multimodal applications using Ollama.
Upon completing this training, participants will be equipped to:
Configure and operate multimodal models within Ollama.
Integrate text, image, and audio inputs for practical, real-world applications.
Create systems for document understanding and visual question answering.
Develop multimodal agents capable of reasoning across different data types.
Course Format
Engaging lectures combined with interactive discussions.
Practical exercises using real multimodal datasets.
Live laboratory sessions for implementing multimodal pipelines via Ollama.
Customisation Options
For bespoke training arrangements tailored to your needs, please get in touch with us.
Mistral models represent open-source AI technologies that have evolved to support multimodal workflows, effectively handling both linguistic and visual tasks for enterprise and research purposes.
This instructor-led training, available online or at your premises, is designed for intermediate-level machine learning researchers, applied engineers, and product teams aiming to develop multimodal applications using Mistral models, with a specific focus on 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.
Architect document understanding applications tailored for enterprise scenarios.
Create vision-text search capabilities and assistive user interface functionalities.
Course Format
Engaging lectures and interactive discussions.
Practical, hands-on coding exercises.
Live laboratory sessions for implementing multimodal pipelines.
Customization Options
For those interested in a customized version of this course, please reach out to us to arrange a tailored session.
This instructor-led, live training in Nepal (online or onsite) is designed for intermediate-level data scientists and developers who wish to apply NLP techniques using Python in Google Colab.
Upon completing this training, participants will be equipped to:
Grasp the fundamental concepts of natural language processing.
Preprocess and cleanse text data for NLP objectives.
Conduct sentiment analysis using NLTK and SpaCy libraries.
Utilize Google Colab to handle text data, enabling scalable and collaborative development.
Advanced Ollama Model Debugging & Evaluation is a comprehensive course designed to help participants diagnose, test, and measure the behavior of models deployed locally or privately via Ollama.
This instructor-led, live training (available online or onsite) targets advanced AI engineers, ML Ops professionals, and QA practitioners who aim to ensure the reliability, accuracy, and operational readiness of Ollama-based models in production environments.
Upon completion of this training, participants will be able to:
Systematically debug Ollama-hosted models and reliably reproduce failure scenarios.
Design and execute robust evaluation pipelines using both quantitative and qualitative metrics.
Implement observability features (logs, traces, 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.
Course Customization Options
For customized training requests, please contact us to arrange.
This instructor-led, live training in Nepal (online or onsite) targets intermediate-level researchers, analysts, and knowledge workers who intend to leverage Claude AI for processing vast amounts of data, synthesizing information, and automating research tasks.
By the conclusion of this training, participants will be able to:
Apply 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 looking to self-host, fine-tune, and govern Mistral and Devstral models in production environments.
Upon completing this training, participants will be able to:
Set up and configure self-hosted environments for Mistral and Devstral models.
Apply fine-tuning techniques to optimize domain-specific performance.
Implement versioning, monitoring, and lifecycle governance.
Ensure security, compliance, and responsible usage of open-source models.
Course Format
Interactive lectures and discussions.
Hands-on exercises focused on self-hosting and fine-tuning.
Live-lab sessions for implementing governance and monitoring pipelines.
Course Customization Options
To request 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 vital for ensuring compliance, enabling interoperability, and developing decision-support systems that align with medical workflows.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges.
Upon completion of this training, participants will be able to:
Design healthcare-specific LangGraph workflows with a focus on compliance and auditability.
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 constructing stateful, multi-actor LLM applications as composable graphs, featuring persistent state and precise control over execution.
This instructor-led, live training (available online or onsite) is tailored for advanced-level AI platform engineers, AI DevOps professionals, and ML architects who aim to optimize, debug, monitor, and manage production-grade LangGraph systems.
By the conclusion of this training, participants will be able to:
Design and optimize complex LangGraph topologies to enhance speed, reduce costs, and ensure scalability.
Engineer reliability by implementing retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
Debug and trace graph executions, inspect state data, and systematically reproduce production issues.
Instrument graphs with logs, metrics, and traces; deploy to production environments; and monitor SLAs and costs.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live-lab environment.
Customization Options
To request customized training for this course, please contact us to arrange.
This instructor-led, live training in Nepal (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 Nepal (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 suite of high-performance large language models, specifically engineered for cost-efficient production deployment at scale.
This instructor-led live training, available online or on-site, is designed for advanced infrastructure engineers, cloud architects, and MLOps leaders aiming to design, deploy, and optimize Mistral-based architectures to achieve maximum throughput with minimal cost.
Upon completing this training, participants will be equipped to:
Implement scalable deployment patterns for Mistral Medium 3.
Utilize batching, quantization, and efficient serving strategies.
Optimize inference costs while preserving performance standards.
Design production-ready serving topologies tailored for enterprise workloads.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical sessions.
Hands-on implementation within a live-lab environment.
Customization Options
For customized training requests, please contact us to make arrangements.
This instructor-led, live training in Nepal (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 Nepal (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 boost software functionality through AI-driven automation.
By the end of this training, participants will be able to:
Leverage the Claude AI API to integrate AI into applications.
Develop AI-driven chatbots and virtual assistants.
Enhance applications with AI-powered automation and NLP.
Optimize and fine-tune Claude AI models for various use cases.
LangGraph serves as a graph-based orchestration framework that facilitates conditional, multi-step workflows involving Large Language Models (LLMs) and tools, making it ideally suited for automating and personalizing content pipelines.
This instructor-led live training, available either online or at the participant's site, targets intermediate-level marketers, content strategists, and automation developers looking to build dynamic, branching email campaigns and content generation pipelines using LangGraph.
Upon completing this training, participants will be capable of:
Designing graph-structured workflows for email and content that incorporate conditional logic.
Integrating LLMs, APIs, and various data sources to achieve automated personalization.
Managing state, memory, and context across complex, multi-step marketing campaigns.
Evaluating, monitoring, and optimizing the performance and delivery outcomes of these workflows.
Course Format
Interactive lectures paired with group discussions.
Practical, hands-on labs focused on implementing email workflows and content pipelines.
Scenario-based exercises covering personalization, segmentation, and branching logic.
Customization Options
For those interested in tailored training for this course, please get in touch with us to arrange a customized schedule.
Le Chat Enterprise offers a private ChatOps solution, delivering secure, customizable, and governed conversational AI capabilities tailored for organizational needs. It supports Role-Based Access Control (RBAC), Single Sign-On (SSO), connectors, and seamless integration with enterprise applications.
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 settings.
Upon completion 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 facilitate the creation and execution of 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 looking to design, implement, and optimize coding agents using Devstral.
Upon completion 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.
Course Format
Interactive lecture and discussion.
Extensive exercises and practice sessions.
Hands-on implementation in a live-lab environment.
Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Nepal (offered online or onsite) is designed for beginner-level professionals who wish to incorporate Claude AI into their daily workflows to enhance efficiency and automation.
By the conclusion of this training, participants will be able to:
Use Claude AI to automate repetitive tasks and streamline 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 Nepal (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.
LangGraph serves as a framework designed for assembling graph-structured LLM workflows, offering support for branching, tool integration, memory management, and controllable execution.
This instructor-led live training (available online or onsite) is tailored for intermediate-level engineers and product teams seeking to merge 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.
Upon completing this training, participants will be equipped to:
Design graph-based workflows that effectively coordinate LLM agents, tools, and memory.
Implement conditional routing, retry mechanisms, and fallbacks to ensure robust execution.
Integrate retrieval processes, APIs, and structured outputs into agent loops.
Evaluate, monitor, and fortify agent behaviour to enhance reliability and safety.
Course Format
Interactive lectures coupled with facilitated discussions.
Guided labs and code walkthroughs conducted within a sandbox environment.
Scenario-based design exercises and peer reviews.
Course Customization Options
To request customized training for this course, please get in touch with us to make arrangements.
This instructor-led, live training in Nepal (online or onsite) is designed for intermediate-level data scientists, AI developers, and AI enthusiasts who wish to use LLMs to perform various NLP tasks and create novel and diverse content for different purposes.
By the end of this training, participants will be able to:
Set up a development environment equipped with LLMs and essential tools.
Expertly perform NLU and NLI tasks using LLMs.
Extract, infer, and utilize knowledge graphs effectively.
Generate and manage dialogues using LLMs for conversational applications.
Evaluate the quality and diversity of content generated by LLMs and generative AI.
Apply ethical principles to ensure fairness and the responsible use of LLMs.
This instructor-led, live training in Nepal (online or onsite) is designed for intermediate-level professionals looking 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.
LangGraph serves as a framework for constructing LLM applications with graph structures, enabling capabilities such as planning, branching, tool integration, memory management, and controllable execution.
This instructor-led training, available both online and onsite, is tailored for beginner-level developers, prompt engineers, and data professionals looking to design and implement robust, multi-step LLM workflows using LangGraph.
Upon completing this training, participants will be able to:
Articulate the fundamental concepts of LangGraph (nodes, edges, state) and identify appropriate use cases.
Construct prompt chains that support branching, tool invocation, and memory retention.
Incorporate retrieval mechanisms and external APIs into graph-based workflows.
Conduct testing, debugging, and evaluation of LangGraph applications to ensure reliability and safety.
Course Format
Interactive lectures and guided discussions.
Hands-on labs and code walkthroughs conducted in a sandbox environment.
Scenario-based exercises focusing on design, testing, and evaluation.
Customization Options
For personalized training arrangements for this course, please reach out to us.
Mistral Medium 3 is a high-performance, multimodal large language model built for production-grade deployment across enterprise settings.
This instructor-led live training (available online or on-site) targets intermediate to advanced AI/ML engineers, platform architects, and MLOps teams looking to deploy, optimize, and secure Mistral Medium 3 for enterprise use cases.
Upon completion of this training, participants will be able to:
Deploy Mistral Medium 3 using both API and self-hosted approaches.
Enhance inference performance and manage costs effectively.
Implement multimodal use cases leveraging Mistral Medium 3.
Apply security and compliance best practices suited for enterprise environments.
Course Format
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation within a live lab environment.
Customization Options
For customized training arrangements, please reach out to us.
This instructor-led live training in Nepal (online or on-site) is designed for professional beginners aiming to install, configure, and utilise Ollama to execute 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 manage resources for AI workloads.
Examine real-world applications of local AI deployment across various sectors.
Understanding the fundamentals of artificial intelligence demonstrates how intelligent technology is transforming digital strategy, automation, and decision-making across enterprise operations. This course examines core concepts including the history of AI, problem-solving frameworks, knowledge representation, reasoning under uncertainty, and machine learning paradigms, alongside communication, perception, and autonomous actions. It equips executives and architects to evaluate opportunities for AI-driven transformation, assess emerging technology trends, and implement practical intelligent solutions to enhance business agility.
This two-day programme is designed for developers who are already proficient with AI coding tools like Cursor, Claude Code, or Copilot. The curriculum focuses on delegating end-to-end tasks to agents, constructing a personalisation stack (comprising Rules, AGENTS.md, Skills, MCP, and Agents), developing and integrating MCP servers, executing agents in parallel, and implementing structured agentic workflows. The course content remains tool-agnostic and builds upon the concepts introduced in the Foundations course.
This two-day introductory course is designed for individuals new to AI-assisted software development, including those with little or no coding background. It explores how these tools function, how to guide them using prompts, and how to apply them to typical tasks such as creating a project from scratch, working within an existing codebase, and reviewing outputs. The content is tool-agnostic and relevant for users of Cursor, Claude Code, Copilot, and similar platforms. This course serves as a precursor to the 'Agentic AI Development: Advanced Workflows' program.
This two-session training programme is tailored for software delivery teams looking to embed AI-driven engineering practices into their daily operations using Claude Code.
The AI training program covers Data Analysis, Distributed AI, and Natural Language Processing (NLP), aiming to provide developers and data scientists with the applied technologies needed to build large-scale intelligent systems. The curriculum includes distributed machine learning, Apache Spark MLlib, and the core principles of MapReduce-based prediction, while also delving into practical methods for recommendation engines, text classification, semantic analysis using Word2Vec, and RNN-LSTM architectures. This course helps professionals deploy AI pipelines ready for production environments, transforming raw data into automated decision-making capabilities.
This instructor-led, live training in Nepal (online or onsite) is aimed at senior leaders and executives who wish to harness Claude as a strategic business assistant to enhance decision-making, accelerate planning and build competitive advantage through AI-augmented leadership.
This intensive 2-day programme is specifically designed for professionals who wish to transition from using AI as a casual chatbot to integrating it as a core digital work partner.
The course blends strategic theoretical insights (fully aligned with the 2026 AI ecosystem) with a heavy practical component featuring 9 hands-on exercises applied directly to the participants' real business contexts.
Day 1 (In-Person): Mastering the Anthropic Ecosystem. Focuses on advanced prompting techniques, profile personalisation (Custom Instructions), and leveraging persistent workspaces (Projects, Artifacts, Skills) to manage internal knowledge bases.
Day 2 (Online): Automation and Ecosystem Integration. Focuses on running Claude in the background via Cowork features, the MCP (Model Context Protocol) ecosystem, and seamless, native integration with the Microsoft 365 suite (Word, Excel, PowerPoint, Teams, SharePoint, and OneDrive).
Claude Code is not merely a code-completion tool; it serves as a terminal-native development agent capable of reading your codebase, planning multi-step changes, executing tests, and driving tasks from a single instruction to a working result. This one-day workshop provides participants with structured, hands-on experience: configuring Claude Code for real-world projects, crafting delegations that yield reviewable outcomes, leveraging CLAUDE.md as persistent project memory, and integrating internal tools via the Model Context Protocol.
This instructor-led live training in Nepal is aimed at intermediate-level developers who wish to take a project from idea to a deployed, production-ready application using Claude Code.
By the end of this training, participants will be able to:
Configure Claude Code and guide it effectively using a CLAUDE.md file.
Scaffold an application and integrate data and a CMS.
Build tests and run QA with subagents.
Set up automated deployment to Vercel or Cloud Run.
This instructor-led, live training session in Nepal (online or onsite) is tailored for software developers and engineering teams who wish to use Claude Code to accelerate development cycles, improve code quality, and automate repetitive programming tasks.
By the end of this training, participants will be able to install and configure Claude Code, edit multi-file codebases using natural language, leverage approval modes, and integrate with Git and CI/CD.
Natural Language Processing turns raw text into actionable intelligence, allowing machines to understand human communication. This course explores core techniques such as corpus analysis, sentence structure parsing, text preprocessing pipelines, and dimensionality reduction using SVD and NMF methods. Participants will engage in practical implementations of document clustering, topic modelling, sentiment analysis, named entity recognition, and Latent Dirichlet Allocation using Python. The training equips professionals with the skills to build intelligent text analytics systems for automated content classification and search.
Ollama is an open-source tool for running large language models locally on consumer and enterprise hardware. It abstracts model quantization, GPU allocation, and API serving into a single command-line interface, enabling organizations to self-host LLMs like Llama, Mistral, and Qwen without sending prompts or data to OpenAI, Anthropic, or Google.
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Testimonials (3)
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
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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