Online or onsite, instructor-led live AI Agents training courses demonstrate through interactive hands-on practice how to use AI agents to automate tasks, make intelligent decisions, and interact with users in diverse applications.
AI Agents training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live AI Agents training can be carried out locally on customer premises in Nepal or in NobleProg corporate training centers 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.
This instructor-led, live training in Nepal (online or onsite) is tailored for advanced-level AI engineers, robotics developers, and automation specialists who wish to leverage DeepSeek for building intelligent AI agents and autonomous systems.
Upon completing this training, participants will be able to:
Comprehend the architecture and capabilities of DeepSeek AI models.
Integrate DeepSeek into AI agents for decision-making and automation.
Apply reinforcement learning techniques to train autonomous systems.
Deploy AI-driven autonomous agents in real-world environments.
Autonomous AI agents are swiftly becoming embedded in decision-making processes across critical sectors, including defence, healthcare, finance, and infrastructure. As these systems acquire greater independence and autonomy, there is a pressing need for robust ethical frameworks, governance mechanisms, and regulatory oversight to guide their design and deployment.
This instructor-led live training (available online or onsite) is designed for advanced-level professionals who wish to explore the ethical, societal, and regulatory implications of deploying autonomous AI agents in real-world environments.
By the end of this training, participants will be able to:
Analyse the ethical risks and moral dilemmas posed by autonomous AI agents.
Evaluate governance frameworks and regulatory models relevant to high-stakes AI deployment.
Assess accountability, explainability, and transparency mechanisms in autonomous systems.
Develop strategies for aligning AI agent behaviour with legal, ethical, and societal values.
Format of the Course
Interactive lecture and discussion.
Case studies and role-playing simulations.
Hands-on analysis of governance models and ethical frameworks.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
AI-driven automation merges the flexibility of no-code platforms with the intelligence of large language models and autonomous agents to develop scalable, intelligent systems.
This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who wish to design, build, and optimize automation pipelines enhanced with AI decision-making, orchestration, and self-executing capabilities.
Upon completing this training, participants will be able to:
Design no-code automation workflows augmented by AI interpretation and responses.
Utilize prompt chaining, webhook triggers, and APIs to construct scalable logic flows.
Develop intelligent applications that seamlessly connect services and autonomously interpret data.
Understand, design, and deploy AI agents capable of goal-oriented action planning and execution.
Course Format
Interactive lectures and discussions.
Numerous exercises and practice sessions.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request customized training for this course, please reach out to us to make arrangements.
This instructor-led, live training in Nepal (online or onsite) is aimed at intermediate-level AI developers, security specialists, and compliance officers who wish to design and implement secure AI agents while addressing ethical concerns and robustness.
By the end of this training, participants will be able to:
Understand the security risks and ethical challenges in AI agent development.
Implement security-first design principles for AI models.
Apply adversarial robustness techniques to prevent attacks on AI agents.
Ensure compliance with ethical AI guidelines and regulatory standards.
Edge & Lightweight Agents is a hands-on course designed for deploying agentic AI workloads on devices with limited resources. Participants gain the skills to build, optimize, and manage lightweight agents that perform local reasoning and inference, thereby enhancing speed, privacy, and reliability in distributed systems. The curriculum places strong emphasis on performance tuning, low-latency design, and the integration of hardware and software.
This instructor-led live training, available online or onsite, targets intermediate-level professionals seeking to implement and optimize on-device agentic systems using Python and edge AI frameworks.
Upon completion of this training, participants will be able to:
Grasp the architecture and challenges associated with running agentic AI on edge devices.
Design lightweight agent loops tailored for constrained environments.
Implement local inference using TensorFlow Lite, PyTorch Mobile, and ONNX.
Integrate agents with sensors, actuators, and IoT platforms.
Optimize performance, energy consumption, and latency for real-time operations.
Course Format
Interactive lectures combined with practical demonstrations.
Hands-on development within local or emulated environments.
Project-based learning supported by guided implementation exercises.
Customization Options for the Course
For customized training arrangements for this course, please contact us.
This instructor-led, live training in Nepal (online or onsite) is designed for intermediate to advanced AI developers, researchers, and multimedia engineers who aim to create AI agents capable of understanding and generating multi-modal content.
Upon completion of this training, participants will be able to:
Develop AI agents that process and integrate text, image, and speech data.
Implement multi-modal models such as GPT-4 Vision and Whisper ASR.
Optimize multi-modal AI pipelines for enhanced efficiency and accuracy.
Deploy multi-modal AI agents in real-world applications.
This instructor-led, live training in Nepal (online or onsite) is designed for developers and designers at beginner to intermediate levels who wish to understand and build AI-powered personal assistants for various use cases.
Upon completion of this training, participants will be able to:
Grasp the fundamental principles of AI-powered personal assistants.
Acquire the basics of integrating language models with smart assistants.
Construct and tailor a personal assistant using AI frameworks and tools.
Deploy personal assistants for practical applications across various industries.
This instructor-led, live training in Nepal (online or onsite) is designed for advanced-level AI engineers, enterprise software developers, and business leaders who aim to customize and deploy LLM-based AI agents for enterprise applications.
Upon completion of this training, participants will be able to:
Comprehend the architecture and capabilities of open-source LLMs.
Customize and fine-tune LLMs for specific enterprise use cases.
Deploy AI agents leveraging LangChain and Hugging Face.
Integrate LLM-powered agents into business workflows.
This instructor-led, live training in Nepal (online or onsite) is designed for advanced robotics engineers, AI researchers, and automation specialists who wish to develop AI-driven autonomous robotic systems for complex tasks and human-AI collaboration.
Upon completion of this training, participants will be able to:
Comprehend the role of AI agents in robotic decision-making and automation.
Implement AI-driven navigation and obstacle avoidance mechanisms.
Develop robotic systems that collaborate effectively with humans.
Deploy AI-powered perception and control systems within robots.
This course delves into the design, coordination, and implementation of multi-agent systems (MAS) using Python. Participants will learn to build agents that communicate, collaborate, and adapt to achieve shared goals in complex, dynamic environments.
This instructor-led, live training (available online or onsite) is targeted at advanced-level professionals who wish to design and implement multi-agent systems for intelligent automation, simulation, and decision-making applications.
By the end of this training, participants will be able to:
Grasp the architecture and principles of multi-agent systems.
Develop agents capable of communication, coordination, and negotiation.
Implement distributed environments for agent interactions.
Apply reinforcement learning and planning in multi-agent contexts.
Simulate cooperative and competitive agent behaviors.
Design hybrid workflows combining humans and intelligent agents.
Format of the Course
Instructor-led lectures and live demonstrations.
Hands-on exercises using open-source agent frameworks.
Applied group project simulating a multi-agent scenario.
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 designed for intermediate-level financial professionals, risk analysts, and AI engineers who aim to develop and deploy AI-driven solutions for financial automation and fraud detection.
Upon completion of this training, participants will be able to:
Comprehend the role of AI in financial automation and fraud detection.
Construct AI models to detect fraudulent transactions.
Utilize machine learning for real-time risk assessment.
This instructor-led, live training in Nepal (online or onsite) is designed for beginner to intermediate-level customer service professionals, chatbot developers, and automation teams looking to implement AI-driven solutions for customer support and service automation.
By the end of this training, participants will be able to:
Grasp the fundamentals of AI-powered customer support.
Develop and integrate AI chatbots to handle customer queries.
Utilize NLP and machine learning to improve chatbot interactions.
Deploy AI agents in real-world customer service applications.
This instructor-led, live training in Nepal (online or on-site) is designed for intermediate to advanced healthcare professionals and AI developers who want to implement AI-driven healthcare solutions.
By the end of this training, participants will be able to:
Grasp the role of AI agents in healthcare and diagnostics.
Create AI models for medical image analysis and predictive diagnostics.
Integrate AI with electronic health records (EHR) and clinical workflows.
Ensure adherence to healthcare regulations and ethical AI practices.
This instructor-led, live training in Nepal (online or onsite) is aimed at beginner-level to intermediate-level AI developers and UI/UX designers who wish to learn how to build, optimize, and deploy AI-powered virtual assistants.
By the end of this training, participants will be able to:
Design effective conversational AI workflows and UI/UX interfaces.
Implement AI-driven natural language processing (NLP) models.
Integrate AI assistants with APIs and third-party platforms.
Deploy and maintain AI assistants for real-world applications.
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.
Python serves as the foundational language for developing and orchestrating autonomous AI agents. This course emphasizes practical implementation using contemporary SDKs and frameworks, such as LangChain and AutoGen, to construct, link, and manage agent workflows.
This instructor-led live training (available online or onsite) is designed for intermediate-level backend engineers, platform engineers, and ML engineers who aim to implement and orchestrate autonomous agents using Python tools and APIs.
Upon completion of this training, participants will be able to:
Set up and configure Python-based environments for agentic systems.
Utilize popular agent SDKs like LangChain and AutoGen to build functional agents.
Integrate tools and APIs to expand agent capabilities.
Orchestrate multi-agent workflows and communication patterns.
Apply best practices for debugging, testing, and maintaining agentic codebases.
Course Format
Interactive lectures and discussions.
Hands-on programming exercises and live demonstrations.
This course imparts practical engineering methodologies for designing, constructing, testing, and deploying autonomous agentic systems using Python. It explores the agent loop, tool integrations, memory and state management, orchestration patterns, safety controls, and production-grade considerations.
Delivered as instructor-led live training (available online or onsite), this program targets intermediate to advanced ML engineers, AI developers, and software engineers aiming to build robust, production-ready autonomous agents using Python.
Upon completion of this training, participants will be able to:
Design and implement the agent loop and decision-making workflows.
Integrate external tools and APIs to enhance agent capabilities.
Implement short-term and long-term memory architectures for agents.
Coordinate multi-step orchestrations and ensure agent composability.
Apply safety, access control, and observability best practices for deployed agents.
Course Format
Interactive lectures and discussions.
Hands-on labs for building agents using Python and popular SDKs.
Project-based exercises resulting in deployable prototypes.
Course Customization Options
To request a customized training session for this course, please contact us to arrange it.
This instructor-led, live training in Nepal (online or on-site) is tailored for advanced professionals seeking to master the techniques for deploying and managing AI agents in production environments.
By the conclusion of this training, participants will be able to:
Design and implement scalable AI deployment pipelines.
Use tools like Docker and Kubernetes to containerize and orchestrate AI agents.
Monitor and optimize AI agents in production environments.
Implement CI/CD workflows for AI agent deployments.
Ensure compliance with security and data governance requirements.
This instructor-led, live training in Nepal (online or onsite) is aimed at advanced-level AI professionals who wish to master reinforcement learning techniques and implement them for training AI agents in solving complex problems.
By the end of this training, participants will be able to:
Understand the core principles of reinforcement learning and Markov Decision Processes (MDPs).
Design and implement RL algorithms such as Q-Learning, SARSA, and Deep Q-Networks (DQN).
Utilize frameworks like OpenAI Gym and RL libraries for practical applications.
Train AI agents to solve real-world, multi-step decision-making problems.
Address challenges such as exploration-exploitation trade-offs and convergence in RL training.
This instructor-led, live training in Nepal (online or onsite) targets intermediate-level AI developers and automation specialists who wish to integrate agentic capabilities into AI-powered applications.
By the end of this training, participants will be able to:
Understand the principles of agentic AI and autonomous decision-making.
Implement goal-driven AI agents with self-optimization techniques.
Integrate multi-agent collaboration for complex problem-solving.
Enhance AI-human interaction through adaptive user experiences.
Deploy agentic AI models in real-world applications.
This instructor-led, live training in Nepal (online or onsite) is designed for advanced AI professionals eager to master the skills required to design, build, and deploy MAS solutions that address complex, real-world challenges.
Upon completion of this training, participants will be able to:
Grasp the core principles of multi-agent system architectures.
Develop strategies for communication, coordination, and decision-making within MAS.
Utilize game theory to model agent interactions and resolve conflicts.
Employ frameworks such as JADE to build scalable MAS solutions.
Tackle challenges like scalability, trust, and emergent behavior in MAS.
This instructor-led, live training in Nepal (online or onsite) is tailored for advanced professionals seeking to develop and optimize multi-agent systems through Agentic AI frameworks.
By the conclusion of this training, participants will be able to:
Comprehend the fundamental principles of Agentic AI in multi-agent environments.
Develop AI-driven agents that interact autonomously.
Implement reinforcement learning for adaptive AI behavior.
Optimize multi-agent collaboration and competition.
Apply Agentic AI in robotics, gaming, and enterprise automation.
This instructor-led, live training in Nepal (online or onsite) targets intermediate-level business analysts, RPA developers, and AI professionals eager to harness the power of AI agents for business process automation.
Upon completion of this training, participants will be able to:
Grasp the role of AI agents in business process automation.
Pinpoint automation opportunities within key business domains.
Create AI-driven solutions for customer support, finance, and supply chain workflows.
Integrate AI agents with existing RPA and business systems.
Assess and refine AI automation strategies to enhance efficiency.
Vertex AI Agent Builder provides a no-code/low-code platform for developing grounded agents that integrate generative models with Retrieval-Augmented Generation (RAG). This enables teams to quickly create agents capable of leveraging enterprise data and search capabilities to deliver precise, context-aware responses.
This instructor-led, live training, available online or onsite, is designed for intermediate-level professionals looking to design, configure, and deploy intelligent agents using Vertex AI Agent Builder and RAG methodologies.
Upon completion of this training, participants will be able to:
Create grounded agent workflows using Agent Builder.
Build RAG pipelines utilizing search and vector storage.
Securely integrate enterprise data sources for retrieval.
Assess and refine agent performance through testing and metrics.
Course Format
Interactive lectures and discussions.
Practical labs involving Vertex AI Agent Builder and RAG components.
Project-based exercises to construct and refine agents.
Customization Options for the Course
To request customized training for this course, please contact us to make arrangements.
This instructor-led, live training in Nepal (online or onsite) is designed for intermediate-level game developers and AI enthusiasts keen on effectively integrating AI agents into gaming applications.
Upon completion of this training, participants will be able to:
Grasp the significance of AI agents in contemporary gaming.
Construct decision-making systems leveraging decision trees and finite state machines.
Deploy pathfinding algorithms like A* for in-game navigation.
Utilize reinforcement learning techniques to engineer adaptive AI behaviours.
Enhance AI performance for real-time gaming environments.
Large language models (LLMs) and autonomous agent frameworks such as AutoGen and CrewAI are transforming how DevOps teams automate processes like change monitoring, test creation, and alert triage by emulating human-like collaboration and decision-making capabilities.
This instructor-led live training, available either online or onsite, is designed for advanced-level engineers seeking to architect and implement DevOps automation workflows driven by large language models (LLMs) and multi-agent systems.
Upon completing this training, participants will be equipped to:
Embed LLM-driven agents into CI/CD pipelines for intelligent automation.
Leverage agents to automate test generation, commit analysis, and change summaries.
Orchestrate multiple agents to triage alerts, formulate responses, and offer DevOps recommendations.
Construct secure and maintainable agent-enabled workflows using open-source frameworks.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live-lab environment.
Course Customization Options
To arrange a customized training session for this course, please contact us to coordinate the details.
This instructor-led, live training in Nepal (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for decision-making in complex business and technical scenarios.
By the end of this training, participants will be able to:
Understand the principles of autonomous decision-making in AI.
Design and implement AI agents that operate with minimal human intervention.
Integrate Agentic AI into automation workflows and business systems.
Optimize AI-driven decision processes for efficiency and scalability.
Ensure compliance, security, and ethical considerations in AI autonomy.
This instructor-led, live training in Nepal (online or onsite) is tailored for intermediate-level professionals eager to deepen their expertise in designing and developing autonomous agents for real-world use cases.
Upon completion of this training, participants will be capable of:
Gaining a solid grasp of the foundational principles of autonomous agents.
Examining real-world applications of autonomous AI agents.
Designing, training, and implementing agents through reinforcement learning techniques.
Integrating agents into current systems to facilitate automation and decision-making.
Navigating ethical considerations and challenges associated with deploying autonomous agents.
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 (online or onsite) is aimed at beginner-level professionals who wish to understand how AI agents work and build their own interactive chatbot systems.
By the end of this training, participants will be able to:
Understand the basics of AI agents and their applications.
Explore the principles of natural language processing (NLP).
Design a conversational flow for a chatbot.
Develop a functional chatbot using Python and related tools.
This instructor-led, live training in Nepal (online or onsite) is aimed at beginner-level professionals who wish to understand and create simple AI agents for real-world applications.
By the end of this training, participants will be able to:
Understand the fundamental concepts of AI agents.
Identify different types of AI agents and their applications.
Design and implement basic AI agents for practical tasks.
Explore tools and frameworks for building AI agents.
This instructor-led, live training in Nepal (online or onsite) is aimed at beginner-level / intermediate-level developers and cloud practitioners who wish to use Alibaba Cloud to build AI agents that can automate tasks, answer questions, and connect with business systems.
By the end of this training, participants will be able to: understand AI agent architecture on Alibaba Cloud, build a simple agent workflow, connect an agent to enterprise knowledge and tools, deploy and monitor an agent in a cloud environment.
This instructor-led, live training (available online or onsite) is aimed at beginner-level professionals who wish to understand and create simple AI agents for real-world applications.
By the end of this training, participants will be able to:
Understand the fundamental concepts of AI agents.
Identify different types of AI agents and their applications.
Design and implement basic AI agents for practical tasks.
Explore tools and frameworks for building AI agents.
Explore Different Use Cases that are suitable for learning AI
This advanced, hands-on seminar is tailored for software engineers, architects, technical leads, engineering managers, and delivery teams eager to understand how Artificial Intelligence can expedite the entire software delivery lifecycle, from initial requirements analysis to production-ready code.
This instructor-led, live training in Nepal (online or onsite) is designed for beginner, intermediate, and advanced level developers and technical professionals who wish to use Microsoft Azure to build, test, and deploy AI agents for business applications.
By the end of this training, participants will be able to: understand AI agent architecture on Azure, create and configure a functional agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.
This instructor-led live training, conducted in Nepal (online or onsite), is designed for software developers and DevOps teams who wish to utilize OpenAI Codex CLI to automate coding tasks, review code, and run multi-step workflows from the terminal.
By the end of this training, participants will be able to install and configure Codex CLI, execute tasks via natural language prompts, manage approval modes, and integrate with Git and CI pipelines.
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 aimed at developers and leads who wish to use Cursor to build features faster, refactor across files, and manage team-wide AI workflows.
By the end of this training, participants will be able to navigate using Composer and agent mode, target code with context-aware chat, deploy team workspaces, and integrate Cursor with version control.
This instructor-led, live training in Nepal (online or onsite) is aimed at intermediate-level solution architects, AI engineers, developers, and technical product teams who wish to use Tencent ADP to build enterprise AI agents with RAG, workflow automation, and operational guardrails.
By the end of this training, participants will be able to design ADP-based agents, create knowledge pipelines, orchestrate workflows and multi-agent patterns, and apply production guardrails.
This instructor-led, live training in Nepal (online or onsite) is aimed at beginner, intermediate, and advanced developers and technical practitioners who wish to use Google Cloud to build AI agents that can automate tasks, utilize tools, and work with business data.
By the end of this training, participants will be able to: explain AI agent concepts, build agents with Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.
This instructor-led, live training in Nepal (online or onsite) is designed for developers and DevOps professionals who wish to use Hermes Agent to automate development tasks, manage infrastructure, and build persistent AI workflows.
By the end of this training, participants will be able to install and configure Hermes Agent, interact with it across multiple platforms, use 40+ built-in tools, and deploy on various backends.
This instructor-led, live training in Nepal (online or onsite) targets business users, operations teams, and technical professionals who wish to utilise Hermes Agent to automate work, create reusable AI-driven processes, and enhance team productivity.
By the end of this training, participants will be able to: explain the fundamentals of Hermes Agent, set up and utilise core features, build practical workflows, and apply sound operational practices.
This instructor-led live training in Nepal (available online or onsite) is designed for developers who wish to use Hermes Agent to design and run secure local AI workflows for code assistance.
By the end of this training, participants will be able to: explain Hermes Agent concepts, set up secure local agent environments, build practical coding workflows, and apply safety and governance controls.
This instructor-led, live training in Nepal (online or on-site) targets developers and technical teams who wish to utilize Ollama and open-source models to build and operate private agentic AI solutions on internal infrastructure.
By the end of this training, participants will be able to install and configure Ollama, evaluate and run open-source models locally, create simple agentic and retrieval-based workflows, and apply security and governance controls for regulated environments.
This instructor-led, live training in Nepal (online or onsite) is aimed at backend developers who wish to build MCP-compatible tool servers and integrate them with agent clients.
By the end of this training, participants will be able to implement MCP servers, connect them to Claude Code and OpenClaude, switch transports, and maintain an internal tool registry.
This instructor-led, live training in Nepal (online or onsite) is aimed at beginner-level, intermediate-level, or advanced-level AI professionals who wish to use MCP to connect AI assistants with external tools, data, and enterprise services.
By the end of this training, participants will be able to: explain MCP concepts, identify key architecture components, set up a basic integration, and apply security good practices.
This instructor-led, live training in Nepal (online or onsite) is aimed at beginner-level to intermediate-level developers and technical teams who wish to use OpenAI APIs to build AI agents that can reason, use tools, and complete multi-step tasks.
By the end of this training, participants will be able to: design agent workflows, connect tools and external data, manage context and responses, and test agents for business use.
This instructor-led, live training in Nepal (online or onsite) targets intermediate to advanced-level developers and technical professionals who wish to use OpenClaw to build and operate practical AI agents that automate work through chat and tool integrations.
By the end of this training, participants will be able to install and configure OpenClaw, connect an LLM provider, utilise and adapt skills for automation, and apply basic security and operational guardrails.
This instructor-led live training conducted at Nepal (online or onsite) is designed for senior developers who wish to utilize Pi to build lightweight, customizable terminal agent workflows.
By the end of this training, participants will be able to install Pi, extend it with TypeScript skills, adapt workflows to meet team standards, and share extensions via npm.
This instructor-led, live training in Nepal (online or onsite) is aimed at developers who wish to use Pi Coding Agent to generate code, review changes, and streamline terminal-based development workflows.
By the end of this training, participants will be able to: explain Pi Coding Agent concepts, set up and use the tool effectively, apply it to practical coding tasks, and adopt safe team workflows.
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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Testimonials (4)
It triggered awareness about working with complex topics and the way, how to start.
Victoria Schmid - Medeo Investment AG
Course - Getting Started with Manus AI
The mix of theory and practice and of high level and low level perspectives
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Autonomous Decision-Making with Agentic AI
practical exercises
Daniel - Facultatea S.A.I.A.P.M.
Course - Agentic AI in Multi-Agent Systems
I liked that he constantly provided examples but also offered time for individual work on what he presented.
Iacob Giorgel
Course - Agentic AI Unleashed: Crafting LLM Applications with AutoGen
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