AI is revolutionizing software creation—not by displacing developers, but by collaborating alongside them, line by line.
Through these instructor-led courses, participants learn to code using AI copilots, automatically generate tests, detect bugs before they impact production, and convert plain English into functional code.
Online live training is conducted via interactive remote desktop, while onsite sessions in Nepal connect developers with hands-on labs within real IDEs and version-controlled projects.
Onsite courses can be hosted in your own engineering space in Nepal or held at a NobleProg training centre designed for collaborative, tool-driven learning.
Also known as AI-Assisted Programming, AI-Integrated Development, AI-Augmented Software Development, AI-Enhanced Coding, or Intelligent Software Development, this training empowers teams to build faster—with confidence and clarity.
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.
GitHub Copilot is an AI-driven code completion assistant designed to boost development speed while enhancing code quality and overall productivity. When integrated with Artificial Intelligence applications in projects, infrastructure, and software systems, managers can harness AI to optimize resource distribution, streamline operational workflows, and strengthen decision-making processes.
This instructor-led live training, available online or onsite, targets advanced-level managers seeking to deepen their expertise in GitHub Copilot and explore practical AI applications within corporate settings. The curriculum includes examples pertinent to large-scale projects and sectors such as the oil and gas industry.
Upon completing this training, participants will be equipped to:
Utilize advanced Copilot capabilities in large-scale corporate projects.
Embed Copilot into multidisciplinary workflows to maximize efficiency.
Leverage AI tools to enhance project management, infrastructure, and software procurement.
Deploy AI-based strategies to refine planning, estimation, and time management.
Identify practical AI applications in industry-specific contexts like oil and gas.
Course Format
Interactive lectures and discussions.
Practical exercises and case studies.
Live laboratory demonstrations of AI tools and Copilot workflows.
Course Customization Options
To arrange a customized training session for this course, please get in touch with us.
Artificial Intelligence (AI) encompasses a suite of technologies designed to mimic human intelligence within machines and applications, thereby facilitating smarter and more adaptable software solutions.
This instructor-led live training, available both online and onsite, is tailored for intermediate-level developers who aim to create AI-driven applications using industry-standard tools and platforms.
Upon completion of this training, participants will be equipped to:
Comprehend the foundational concepts of AI and machine learning.
Develop AI functionalities using Python and widely adopted libraries.
Implement AI techniques in real-world software development projects.
Assess model performance and deploy intelligent services.
Course Format
Engaging lectures accompanied by interactive discussions.
Extensive exercises and practical practice sessions.
Hands-on implementation within a live-lab environment.
Customization Options
To arrange a customized training session for this course, please contact us.
GitHub Copilot acts as an AI-powered coding assistant designed to automate development tasks, including critical DevOps operations such as creating YAML configurations, GitHub Actions, and deployment scripts.
This instructor-led, live training (available online or onsite) is tailored for beginner to intermediate-level professionals who aim to utilize GitHub Copilot to streamline DevOps tasks, enhance automation, and boost overall productivity.
By the conclusion of this training, participants will be equipped to:
Utilize GitHub Copilot to assist with shell scripting, configuration, and CI/CD pipelines.
Harness AI code completion features within YAML files and GitHub Actions.
Accelerate testing, deployment, and automation workflows.
Apply Copilot responsibly by understanding AI limitations and adhering to best practices.
Course Format
Interactive lectures and discussions.
Extensive exercises and hands-on practice.
Practical implementation within a live-lab environment.
Customization Options
For tailored training requirements for this course, please reach out to us to arrange a session.
Huawei Ascend comprises a suite of AI processors engineered for high-performance inference and training workloads.
This instructor-led live training, available in online or onsite formats, targets intermediate AI engineers and data scientists seeking to develop and optimise neural network models leveraging Huawei’s Ascend platform alongside the CANN toolkit.
Upon completion of this training, participants will be equipped to:
Establish and configure the CANN development environment.
Construct AI applications utilizing MindSpore and CloudMatrix workflows.
Enhance performance on Ascend NPUs through custom operators and tiling techniques.
Deploy models across edge or cloud infrastructure.
Course Format
Interactive lectures coupled with group discussions.
Practical application of Huawei Ascend and the CANN toolkit within sample projects.
Guided exercises centred on model construction, training, and deployment.
Customisation Options
For tailored training aligned with your specific infrastructure or datasets, please reach out to us to arrange a bespoke session.
This instructor-led, live training in Nepal (online or onsite) is aimed at intermediate-level software professionals who wish to leverage AI and machine learning to improve efficiency and innovation in software development.
By the end of this training, participants will be able to:
Understand the role of AI and machine learning in automating software development tasks.
Implement AI tools to generate code, tests, and documentation.
Apply AI techniques for code optimization, quality assurance, and debugging.
Integrate AI into the DevOps and CI/CD pipelines for improved deployment strategies.
Address ethical considerations and challenges in AI-augmented software engineering.
This instructor-led, live training in Nepal (online or onsite) is designed for intermediate to advanced participants who aim to optimize team workflows, improve collaborative coding practices, and effectively manage Copilot usage in multi-developer settings.
Upon completing this training, participants will be capable of:
Configuring GitHub Copilot for team environments.
Using Copilot to strengthen collaborative coding practices.
Optimizing team workflows through Copilot’s capabilities.
Managing Copilot’s integration within multi-developer projects.
Ensuring consistent code quality and standards across teams.
Leveraging advanced Copilot features tailored to team-specific requirements.
Integrating Copilot with other collaborative tools for enhanced efficiency.
This instructor-led, live training in Nepal (online or onsite) is aimed at intermediate-level QA engineers, developers, and team leads who wish to leverage GitHub Copilot for more efficient debugging, code quality enhancement, and streamlined code review.
By the end of this training, participants will be able to:
Set up GitHub Copilot for debugging and code review purposes.
Use Copilot to identify and resolve bugs efficiently.
Enhance code quality with AI-assisted suggestions.
Streamline code review processes with Copilot's capabilities.
Collaborate effectively using Copilot in team environments.
Upon completion of this training, participants will be equipped with the skills to:
Prompt Engineering for Software Development is a practical, hands-on course designed to empower developers with the ability to craft effective prompts. This optimizes the utility, accuracy, and safety of AI-generated outputs specifically within the realm of software engineering tasks.
This instructor-led live training, available both online and onsite, is tailored for intermediate-level developers aiming to integrate prompt engineering techniques into their utilisation of AI coding assistants, code analyzers, and intelligent automation tools.
Craft precise prompts for tasks involving code generation, review, and optimization.
Leverage prompt chaining and refinement to enhance AI responses within iterative workflows.
Produce structured outputs, such as test cases, SQL queries, and documentation, from minimal input.
Mitigate hallucinations and exert greater control over Large Language Model (LLM) behaviour in technical environments.
Interactive lectures and discussions.
Abundant exercises and practical practice.
Hands-on implementation within a live laboratory environment.
To request a customized training session for this course, please contact us to make arrangements.
This instructor-led, live training in Nepal (online or on-site) targets intermediate-level front-end developers who wish to use GitHub Copilot to automate repetitive coding tasks, improve UI/UX design, and streamline front-end workflows.
By the end of this training, participants will be able to:
Set up GitHub Copilot for front-end development projects.
Leverage Copilot to generate HTML, CSS, and JavaScript code efficiently.
Improve UI/UX design processes using AI-generated code suggestions.
Enhance front-end workflows with practical Copilot integration strategies.
Troubleshoot and debug front-end code using Copilot assistance.
The 'Responsible AI in Software Development' course serves as a foundational guide to navigating the ethical, legal, and governance aspects of integrating AI tools into software development workflows. It places significant emphasis on ensuring transparency, fairness, addressing intellectual property concerns, and safely deploying code generated by AI.
This instructor-led live training, available either online or onsite, is designed for both technical and non-technical professionals at the beginner level who aim to adopt ethical, compliant, and risk-aware practices when utilizing AI in their software projects.
Upon completion of this training, participants will be equipped to:
Identify and mitigate ethical and legal risks linked to AI-assisted development.
Recognize bias within AI-generated code and learn how to evaluate its fairness.
Effectively manage software licenses and attribution requirements for AI-generated content.
Establish robust governance, policy, and compliance frameworks for AI adoption within development teams.
Course Format
Interactive lectures and discussions.
Ample opportunities for exercises and practical application.
Hands-on implementation within a live laboratory environment.
Course Customization Options
For bespoke training tailored to your specific needs, please reach out to us to make arrangements.
The course on AI for Software Requirements and User Story Creation offers a hands-on approach to utilizing generative AI for converting stakeholder inputs into well-structured requirements, epics, user stories, and acceptance criteria, perfectly tailored for Agile development environments.
This instructor-led live training, available both online and onsite, is designed for beginner-level product and project professionals aiming to enhance clarity, efficiency, and traceability in requirement gathering and refinement using tools such as ChatGPT or Claude.
Upon completing this training, participants will gain the ability to:
Employ AI prompts to collect and refine business requirements effectively.
Transform feature requests into neatly organized user stories and epics.
Utilize AI support to generate acceptance criteria, edge cases, and definitions of done.
Collaborate seamlessly with development teams through AI-structured documentation.
Course Format
Engaging interactive lectures and discussions.
Abundant exercises and practical practice sessions.
Hands-on implementation within a live-lab environment.
Customization Options for the Course
For a customized training experience, please reach out to us to make the necessary arrangements.
Cursor is an AI-driven development environment designed to boost productivity and reliability within data and machine learning workflows. It achieves this through intelligent code generation, context-aware suggestions, and streamlined documentation processes.
This instructor-led training, available both online and onsite, is targeted at intermediate-level data and ML professionals who aim to incorporate Cursor into their daily routines. The goal is to facilitate faster prototyping, scalable pipeline development, and enhanced model operations.
Upon completion of this training, participants will be equipped to:
Utilize Cursor to speed up notebook development and code exploration.
Generate, refactor, and document ETL and feature engineering pipelines.
Employ AI-assisted coding for model training, tuning, and evaluation.
Improve reproducibility, collaboration, and operational consistency across ML workflows.
Course Format
Interactive lectures and live demonstrations.
Practical, hands-on exercises conducted in live coding environments.
Case studies demonstrating the integration of Cursor with ML pipelines and model ops tools.
Course Customization Options
This training can be customized to align with specific frameworks such as TensorFlow, PyTorch, or scikit-learn, or to suit your organization's MLOps platforms.
This instructor-led, live training in Nepal (online or onsite) is aimed at beginner-level to intermediate-level Python developers who wish to leverage GitHub Copilot for Python-specific tasks, debugging, and implementing machine learning workflows.
By the end of this training, participants will be able to:
Set up and configure GitHub Copilot for Python development.
Leverage Copilot to write efficient Python code.
Debug Python applications using AI-generated suggestions.
Automate repetitive coding tasks and improve workflow efficiency.
Utilize Copilot for implementing machine learning projects in Python.
Graphite serves as a robust platform for developer productivity and code reviews, designed to optimize pull request processes, foster better team collaboration, and seamlessly connect with tools like GitHub and AI-powered code review assistants.
This instructor-led training, available both online and on-site, is tailored for intermediate-level software engineering teams looking to streamline their development workflows, boost review efficiency, and effectively adopt Graphite within enterprise DevOps pipelines.
Upon completion of this training, participants will be equipped to:
Deploy and configure Graphite to support enterprise-scale development environments.
Automate pull request management and significantly improve code review throughput.
Integrate Graphite with GitHub, CI/CD systems, and AI assistants such as OpenAI, Deepseek, LlaMA, Qwen, and Mistral Small.
Track and measure developer productivity using Graphite’s advanced analytics and dashboards.
Course Delivery Format
Interactive lectures and discussions.
Numerous exercises and practical practice sessions.
Hands-on implementation within a live-lab environment.
Customization Options
For customized training needs, please contact us to arrange a tailored session.
Cursor is a sophisticated AI-powered development environment that empowers engineers to extend, fine-tune, and customize its coding intelligence to meet specialized use cases and enterprise workflows.
This instructor-led live training (available online or onsite) is designed for advanced developers and AI engineers who aim to craft tailored prompt systems, refine model behaviour, and construct custom extensions for internal development automation.
Upon completion of this training, participants will be able to:
Design and test sophisticated prompt templates to ensure precise AI behaviour.
Connect Cursor to internal APIs and knowledge bases to enable context-aware code generation.
Develop fine-tuned or domain-adapted AI models tailored for specific tasks.
Build and deploy custom tools or adapters that securely extend Cursor’s functionality.
Course Format
Technical presentations and guided demonstrations.
Hands-on development and prompt optimization labs.
Practical projects integrating Cursor with real-world enterprise systems.
Customization Options
This course can be tailored to align with specific internal architectures, AI frameworks, or security compliance requirements.
This instructor-led, live training in Nepal (online or onsite) is designed for advanced-level participants who wish to customize GitHub Copilot for team projects, utilize its advanced features, and integrate it seamlessly into CI/CD pipelines for enhanced collaboration and productivity.
By the end of this training, participants will be able to:
Customize GitHub Copilot for specific project needs and team workflows.
Leverage advanced features of Copilot for complex coding tasks.
Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
Optimize team collaboration using AI-powered tools.
Manage and troubleshoot Copilot settings and permissions effectively.
Generative AI for Front-End Development delves into how large language models and AI-driven tools can expedite front-end development via prompt-based code generation, layout prototyping, and UI optimization.
This instructor-led, live training (available online or onsite) is tailored for beginner to intermediate front-end professionals eager to leverage generative AI to build and iterate user interfaces with greater speed and creativity.
Upon completion of this training, participants will be able to:
Utilize AI tools to generate HTML, CSS, and JavaScript from natural language prompts.
Create and refine UI components and layouts using generative models.
Rapidly prototype responsive web designs without writing all code from scratch.
Optimize front-end code using AI suggestions and automation workflows.
Format of the Course
Interactive lecture and discussion.
Extensive exercises and practice sessions.
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 Nepal (online or onsite) is aimed at developers ranging from novices to experts who wish to leverage AI for code generation with Tabnine.
By the end of this training, participants will be able to:
Understand the basics of AI-powered code generation.
Install and configure Tabnine in their development environment.
Utilize Tabnine for efficient code completion and error correction.
Create and train custom AI models with Tabnine for specialized tasks.
Vibe coding represents an emerging paradigm where developers partner with large language models to generate, refine, and optimize code through natural language interactions.
This instructor-led live training, available online or onsite, is designed for intermediate-level developers and technical leads who aim to master the use of AI coding assistants and open-source LLMs to boost productivity, creativity, and workflow automation.
Upon completing this training, participants will be able to:
Grasp the principles and philosophy of vibe coding and understand its impact on software development.
Set up LLM-assisted coding environments using tools like Replit, DeepSeek, LlaMA, Qwen, Mistral, and GitHub Copilot.
Design and execute prompt engineering strategies for effective AI collaboration.
Integrate vibe coding workflows into enterprise CI/CD pipelines and governance frameworks.
Course Format
Interactive lectures and discussions.
Ample exercises and practice sessions.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
AI-Augmented Test Generation and Quality Engineering examines how artificial intelligence tools and large language models (LLMs) can enhance test coverage, accelerate test creation, and improve quality assurance processes.
This instructor-led, live training (online or onsite) targets intermediate-level QA professionals who wish to automate and enhance their testing strategies using AI-driven tools and practices.
By the end of this training, participants will be able to:
Generate unit, integration, and UI tests using AI tools and prompts.
Use LLMs for exploratory testing, edge-case discovery, and regression analysis.
Cluster and prioritize test failures and anomalies using AI-assisted triage.
Integrate AI-based testing into CI/CD pipelines to improve release confidence.
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.
Cursor is an AI-driven development environment designed to boost team collaboration, automate code reviews, and integrate effortlessly into contemporary CI/CD workflows.
This instructor-led live training (available online or onsite) is tailored for intermediate-level technical professionals aiming to embed Cursor into their team environments to improve collaboration, streamline review processes, and uphold quality across automated pipelines.
Upon completing this training, participants will be able to:
Set up and manage team environments in Cursor for collaborative development.
Leverage AI tools for automated code reviews, pull request generation, and merge validation.
Implement code governance, review policies, and security guardrails using Cursor’s capabilities.
Integrate Cursor with CI/CD systems to ensure continuous delivery and consistent quality standards.
Format of the Course
Instructor-led presentations and team-based discussions.
Hands-on labs using real-world team collaboration scenarios.
Live integration exercises with CI/CD and version control tools.
Course Customization Options
The course can be adapted to specific CI/CD platforms, repository tools, or enterprise security requirements.
This instructor-led, live training in Nepal (online or onsite) is aimed at beginner-level to intermediate-level programmers and developers who wish to leverage DeepSeek Coder to enhance coding efficiency and productivity.
By the end of this training, participants will be able to:
Understand the capabilities and limitations of DeepSeek Coder.
Generate high-quality code snippets using AI assistance.
Utilize DeepSeek Coder for debugging and optimizing code.
Automate repetitive programming tasks using AI tools.
This instructor-led live training in Nepal (online or onsite) is designed for intermediate-level participants who want to utilise GitHub Copilot to manage complex coding use cases, boost productivity, and seamlessly integrate Copilot into their development workflows.
Upon completion of this training, participants will be able to:
Optimise their utilisation of GitHub Copilot for advanced coding tasks.
Write more efficient, error-free, and maintainable code using Copilot suggestions.
Integrate GitHub Copilot into their preferred IDEs and workflows.
Utilise Copilot for debugging and code refactoring.
Understand the limitations and ethical considerations of using AI-powered coding tools.
This instructor-led, live training in Nepal (online or at your premises) targets advanced developers and team leads keen on mastering the advanced features of Tabnine.
By the conclusion of this training, participants will be able to:
Implement Tabnine in complex software projects.
Customize and train Tabnine's AI models for specific use cases.
Integrate Tabnine into team workflows and development pipelines.
Enhance code quality and accelerate development cycles using Tabnine's insights.
This instructor-led, live training in Nepal (online or onsite) is designed for beginner to intermediate software developers who wish to integrate AI coding assistants into their development workflow.
By the end of this training, participants will be able to:
Understand the role and capabilities of AI coding assistants in software development.
Utilize various AI coding assistant tools to automate routine coding tasks.
Integrate AI coding assistants into their software development lifecycle.
Enhance their productivity and focus on more complex and creative programming tasks.
Address ethical considerations and responsible use of AI in software development.
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.
Cursor is an AI-driven code editor built to improve developer productivity through smart code completions, context-aware edits, and adaptive support.
This instructor-led training, available online or onsite, targets beginner-level developers and engineering teams looking to streamline their coding workflows and safely harness AI suggestions for better efficiency.
After completing this training, participants will be able to:
Install and set up Cursor for optimal use in development projects.
Understand and apply AI-assisted code completion, in-editor chat, and refactoring tools.
Evaluate, accept, or modify AI-generated code suggestions effectively and securely.
Adopt best practices for team onboarding, collaboration, and version control integration.
Course Format
Interactive lectures and discussions.
Hands-on demonstrations and guided exercises.
Real-world coding challenges and lab practice using Cursor.
Customization Options
This course can be tailored to specific programming languages or frameworks used by your team.
This instructor-led, live training in Nepal (online or onsite) is designed for beginner-level developers who want to understand GitHub Copilot's capabilities, set it up, and use it effectively to enhance their coding experience.
By the end of this training, participants will be able to:
Understand what GitHub Copilot is and how it works.
Set up GitHub Copilot with a supported code editor.
Use GitHub Copilot to write, refactor, and debug code faster.
Leverage Copilot to explore coding techniques and solutions.
Apply best practices for integrating GitHub Copilot into daily workflows.
LLMs for Code Understanding, Refactoring, and Documentation is a technical course designed to demonstrate how large language models (LLMs) can be applied to enhance code quality, minimize technical debt, and automate documentation tasks within software teams.
Delivered as an instructor-led live training (available online or onsite), this program targets intermediate to advanced-level software professionals who aim to utilise LLMs like GPT to more effectively analyse, refactor, and document complex or legacy codebases.
Upon completion of this training, participants will be equipped to:
Utilise LLMs to explain code, dependencies, and logic within unfamiliar repositories.
Identify and refactor anti-patterns while enhancing code readability.
Automatically generate and maintain in-line comments, README files, and API documentation.
Integrate LLM-driven insights into existing CI/CD and code review workflows.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical sessions.
Hands-on implementation in a live-lab environment.
Course Customization Options
To arrange a customized training session for this course, please contact us.
This instructor-led, live training in Nepal (online or onsite) is designed for intermediate-level Python developers and data scientists who wish to boost their productivity with the help of Tabnine.
Upon completing this training, participants will be able to:
Install and configure Tabnine in their Python development environment.
Use Tabnine's autocomplete features to write Python code more efficiently.
Customize Tabnine's behavior to fit their coding style and project needs.
Understand how Tabnine's AI model works specifically with Python code.
This instructor-led, live training in Nepal (online or onsite) is aimed at beginner-level participants who wish to understand AI coding assistants, their capabilities, how they can enhance the development process, and the ethical considerations surrounding their use.
By the end of this training, participants will be able to:
Understand the purpose and capabilities of AI coding assistants.
Identify different AI coding assistant tools and their features.
Utilize AI coding assistants for basic coding tasks.
Address basic ethical considerations and responsible use of AI in development.
The AI-Driven Software Development Lifecycle (SDLC) is a hands-on course designed to demonstrate how artificial intelligence can optimize every stage of the software development process. Participants will explore the integration of AI tools and techniques across the entire lifecycle, from automating requirement analysis to generating intelligent tests and optimizing deployments.
This instructor-led live training, available both online and onsite, targets intermediate-level software leaders seeking to modernize their SDLC practices through AI-assisted workflows and tools.
Upon completion of this training, participants will be equipped to:
Utilize AI to transform business inputs into structured requirements and user stories.
Leverage Large Language Models (LLMs) to enhance code documentation, review processes, and refactoring efforts.
Automate the generation of test cases and analyze coverage using AI-powered tools.
Implement AI-driven monitoring and deployment decision-making within CI/CD pipelines.
Course Format
Interactive lectures and group discussions.
Extensive exercises and practical practice sessions.
Hands-on implementation within a live-lab environment.
Customization Options
For customized training requests, please contact us to arrange a tailored program.
This instructor-led, live training (online or onsite) is aimed at intermediate-level software developers who wish to boost productivity and code quality using AI-assisted coding with Cursor.
By the end of this training, participants will be able to:
Set up and configure Cursor for AI-assisted software development.
Connect Cursor with Git repositories and integrate it into development workflows.
Utilise natural language inputs to generate, debug, and optimise code.
Harness AI capabilities for refactoring, documentation, and testing tasks.
This instructor-led, live training in Nepal (online or onsite) is designed for beginner to intermediate-level developers who wish to learn how to utilize the capabilities of GitHub Copilot effectively within modern development workflows.
This instructor-led live training in Nepal (online or onsite) is tailored for beginner-level developers aiming to boost their coding efficiency with Tabnine.
By the end of this training, participants will be able to:
Install and set up Tabnine in their preferred IDE.
Leverage Tabnine's autocomplete features to accelerate coding.
Customize Tabnine's settings for optimal assistance.
Understand how Tabnine's AI learns from their code to offer better suggestions.
This immersive, one-day workshop that empowers software teams to integrate cutting-edge AI tools throughout the Software Development Lifecycle (SDLC). Structured as an interactive game with progressive “levels,” this experience blends technical skill-building, creativity, and collaboration.
Participants will tackle real-world challenges across all stages of the SDLC — from requirement gathering and design to coding, testing, deployment, and monitoring — using AI-powered tools like ChatGPT, GitHub Copilot, and ML-based log analysis systems.
Designed for modern development environments, this workshop fosters AI fluency, team synergy, and a deep understanding of how to augment software delivery pipelines with generative AI and machine learning capabilities.
This instructor-led live training in Nepal (online or onsite) is targeted at beginner-level professionals who wish to use Replit AI to build, test, and deploy simple applications more quickly.
By the end of this training, participants will be able to: create an app from a prompt, improve code with AI assistance, manage configuration securely, and deploy a working application.
This instructor-led, live training in Nepal (online or onsite) is aimed at beginner to intermediate to advanced-level product teams, developers, and technical business users who wish to use Lovable to build production-ready applications faster, with improved structure, quality, and deployment practices.
By the end of this training, participants will be able to plan and generate functional applications, enhance user flows and data handling, incorporate essential production features, and prepare applications for deployment and team use.
The primary objective of this instructor-led, live training is to empower professionals without any coding or technical background to confidently utilise Claude Code — Anthropic’s AI-powered coding and automation tool — to build real-world projects, automate workflows, and integrate their daily tools using plain English.
Participants will use the Claude app (claude.ai and Claude Desktop) to complete hands-on tasks, progressing from their very first interaction to connecting Claude with external services via MCP (Model Context Protocol) connectors. The 7-hour format includes a dedicated Live Build Session where the group collaboratively develops workflows based on real problems submitted by participants — a dynamic segment that teaches prompt judgment in a way that solo practice cannot replicate. By the end of the course, every participant will have created a working project and connected Claude to at least one external service.
Course Format
Interactive lectures and live demonstrations
Guided hands-on exercises following each concept (participants follow along in real time)
Collaborative Live Build Session addressing real participant-submitted workflow challenges
This instructor-led, live training aims to equip professionals without any coding or technical background with the confidence to utilise Claude Code — Anthropic's AI-driven coding and automation tool — to develop practical projects, automate workflows, and integrate everyday tools using simple English commands.
Participants will engage with the Claude application (accessible via claude.ai and Claude Desktop) to perform hands-on tasks, ranging from their initial interaction to linking Claude with external services through MCP (Model Context Protocol) connectors. Upon completing the course, every participant will have constructed a functional project and connected Claude to at least one external service.
Course Format
Interactive lectures accompanied by live demonstrations
Guided hands-on exercises following each concept (participants follow along in real-time)
A cumulative capstone project developed throughout the session
This instructor-led, live training in Nepal (online or onsite) is designed for intermediate-level software engineers and technical leads who wish to use Claude Code to accelerate development workflows and improve team productivity through AI-assisted coding.
By the end of this training, participants will be able to: install and configure Claude Code, navigate, generate, and improve code using AI, integrate AI workflows with Git, and design scalable AI-assisted processes.
This instructor-led, live training session Nepal (offered online or onsite) is designed for developers looking to utilize GitHub Copilot Agent Mode for autonomous feature development, automated testing, and managing larger coding assignments.
By the conclusion of this training, participants will be able to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and implement enterprise governance frameworks.
This instructor-led, live training in Nepal (online or onsite) is designed for beginner, intermediate, or advanced professionals wishing to use Bolt.new to rapidly create and enhance web app prototypes.
By the end of this training, participants will be able to: create prototypes from prompts, refine features and interface flow, test and troubleshoot app behavior, and publish prototypes for review.
This instructor-led live training in Nepal (online or onsite) is aimed at developers who wish to use Windsurf to build features conversationally, execute terminal workflows inside the IDE, and refactor across the codebase.
By the end of this training, participants will be able to use Cascade for navigation, execute terminal commands inside the editor, leverage predictive edits, and customize Windsurf for proprietary stacks.
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