Our Courses
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ADVANCED PROMPT ENGINEERING WITH AI
"Engineering Essentials" provides a comprehensive overview of core engineering principles, spanning disciplines like mechanical, electrical, and civil engineering. Covering key concepts such as problem-solving methodologies, design processes, and technological advancements, the course equips students with a foundational understanding of engineering. Practical applications and case studies enhance learning, preparing participants for real-world challenges in diverse engineering fields.
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ADVANCED REACT NATIVE
Course SynopsisReact Native, a JavaScript framework, facilitates the creation of native mobile apps through integration with the React framework, featuring an array of pre-existing components and APIs. This course caters to JavaScript and React developers aiming to acquire mobile development expertise. By enrolling, participants enhance their familiarity with React, JavaScript, and grasp functional programming concepts, positioning themselves for entry into the mobile domain. Given the evolving landscape of JavaScript, the course adopts EC6 syntax to align with contemporary practices. Required TextbooksMateusz Greiukiewicz, “Hands-On Design Patterns with React Native”, Packt.Dan Ward, “React Native Cookbook”, Packt.Akshat Paul and Abhishek Nalwaya. “React Native for Mobile Development”, Apress. Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:Has attended 90% of all classes held.Has received an average grade of 80% on all assignments.Has received an average of 60% in assessments.The tutor believes the student has grasped all of the concepts and is ready to go on to the second module. PrerequisitesBasic knowledge about programming, bits/bytes, procedures, classes, computer architecture, etc. If you just have theoretical knowledge that is perfectly okay but you should have strong convictions on what programming is, and what you hope to achieve from this class.Willing and eager to spend at least 10-20 hours (varying from student-to-student) per week outside of the training class to self-study and practice.If you are only interested in theory and have no interest/patience in spending at least 10 hours every week throughout the duration of the course, then this course might not be for you.If you have absolutely no idea about programming or do not see yourself doing programming in the next six -odd months, then this class may not be for you.
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Advanced SEO Mastery
Welcome to "Advanced SEO Mastery," where you'll refine your SEO expertise through advanced techniques in keyword research, technical optimization, content strategy, and link building. Gain the skills to boost site rankings and drive significant traffic, mastering the intricacies of high-level SEO to achieve exceptional results.Welcome to "Advanced SEO Mastery," your gateway to mastering high-level search engine optimization techniques. This course is designed for SEO professionals looking to deepen their knowledge and refine their strategies. Building on foundational SEO principles, we’ll explore advanced methods that can set your work apart in a competitive landscape.We'll begin with sophisticated keyword research techniques, teaching you how to uncover hidden opportunities and leverage data to gain a competitive edge. Next, we’ll dive into technical SEO, covering intricate aspects like site architecture, indexing, and crawling to ensure your site performs at its best.Our content strategy module will focus on crafting high-quality, engaging content that resonates with your audience and improves search rankings. You’ll learn how to implement effective content plans that drive traffic and foster user engagement.In the link building segment, we’ll explore innovative strategies to build a robust backlink profile and enhance your site's authority. Finally, we'll cover advanced SEO analytics, equipping you with the tools to track performance, analyze results, and continuously refine your strategies.By the end of this course, you'll be adept at applying advanced SEO techniques to achieve top search engine rankings and drive significant traffic to your site.
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ADVANCED TECHNICAL WRITING
Course SynopsisThis course includes technical writing as well as other types of writing. The fundamentals of technical writing, knowing who you're writing for and why you're writing it, getting rid of the clutter in your writing with the goal of achieving effective and seamless communication, strong paragraphs and sentence structure, the fundamentals of writing (grammar and punctuation), insights into collaborative writing, planning and preparing a technical report/white paper, and an efficient and organized writing method are topics covered in this course. Required TextbooksKieran Morgan, “Technical Writing Process”, Technical Writing Process.Krista Van Laan, “The Insider’s Guide to Technical Writing”, XML Press.Phillip A. Laplante, “Technical Writing: A Practical Guide for Engineers and Scientists”, CRC Press. Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:Has attended 90% of all classes held.Has received an average grade of 80% on all assignments.Has received an average of 60% in assessments.The tutor believes the student has grasped all of the concepts. PrerequisitesThere is no prior educational level requirement for this course.
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ADVANCED VUE.JS
Course SynopsisThe Vue.js course is designed for novices who wish to learn how to think about and produce meaningful Vue.js codes, as well as read Vue.js codes written by others. The course also teaches how to translate a literary description of a problem (requirement) into a Vue.js application or library. This is a foundational course for anyone with no prior programming expertise who wants to work as a professional Ajax engineer in the future. Required TextbooksValentin Bojinov, “Node.js Complete Reference Guide”, Packt.Shawn Wildermuth, “Node.js for .NET Developers”, Pluralsight. Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:Has attended 90% of all classes held.Has received an average grade of 80% on all assignments.Has received an average of 60% in assessments.The tutor believes the student has grasped all of the concepts. PrerequisitesBasic knowledge about programming, bits/bytes, procedures, classes, computer architecture, etc. If you just have theoretical knowledge that is perfectly okay but you should have strong convictions on what programming is, and what you hope to achieve from this class.Willing and eager to spend at least 10-20 hours (varying from student to student) per week outside of the training class to read/write codes in JavaScript (self-study and practice).There is no prior educational level required for this course. Anyone from 10+2 students to someone who is doing her Ph.D. in Genetic Engineering is welcome to take this course.If you are only interested in theory and have no interest/patience in spending at least 10 hours every week throughout the duration of the course, then this course might not be for you.If you have absolutely no idea about programming or do not see yourself doing programming in the next six-odd months, then this class may not be for you.
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Agentic AI with Python
Agentic AI with Python Training in Nepal Learn to Build Autonomous AI Agents with Hands-On Practical Training Future-Ready, Project-Based & Industry-Focused Program Master the next generation of AI by learning how to design, build, and deploy intelligent agents that can reason, plan, use tools, remember context, and solve real-world problems. No unnecessary theory. No outdated concepts. Only practical skills that help you build the AI systems shaping the future. What You Will Be Able To Do After This Training You will learn how to: Build intelligent AI agents using Python Design autonomous systems beyond traditional chatbots Integrate Large Language Models into real applications Implement memory and Retrieval-Augmented Generation (RAG) systems Connect AI agents with APIs, databases, and external tools Develop multi-agent collaborative workflows Build applications using LangChain and LangGraph Fine-tune LLMs using modern techniques Test, optimize, and deploy production-ready agents Create end-to-end Agentic AI solutions Future-Ready Agentic AI Skills You will master how to: Design and develop autonomous AI agents Engineer effective prompts and reasoning workflows Implement planning and decision-making capabilities Enable long-term memory and contextual understanding Build agents capable of tool usage and automation Develop scalable multi-agent architectures Fine-tune models efficiently using PEFT and LoRA Deploy reliable and secure AI systems Build the intelligent systems that modern organizations are adopting today. What You Will Learn (Modules Covered) Introduction to Agentic AI Foundations of AI & Machine Learning Large Language Models (LLMs) Agent Architectures & Design Patterns Reasoning, Planning & Decision Making Memory, RAG & Knowledge Systems Tool Use & API Integration Multi-Agent Systems LangChain & LangGraph Frameworks Testing, Evaluation & Optimization Deployment, Ethics & Security Fine-Tuning Large Language Models Capstone Project Development Who This Course Is ForPerfect for: Python developers exploring AI applications AI and Machine Learning enthusiasts Software engineers building intelligent products Data professionals transitioning into Generative AI Students aiming for careers in emerging technologies Professionals seeking future-ready AI skills 2 Basic Python programming knowledge is recommended. Why This Training Is Different Learn by building real AI agents from scratch Practical labs in every module Industry-relevant frameworks and workflows Project-driven learning approach Exposure to modern Agentic AI patterns Focus on implementation, not just concepts Capstone project showcasing real-world applications Tools & Technologies You Will Learn Python OpenAI APIs LangChain LangGraph Vector Databases Hugging Face PEFT / LoRA Retrieval-Augmented Generation (RAG) Tools Docker Deployment Concepts API Integrations Git & Development Tools …and many more. Career Opportunities After This Training After completing this course, you can: Work as an AI Engineer Become an Agentic AI Developer Build autonomous business applications Develop enterprise AI solutions Contribute to Generative AI projects Freelance on AI implementation projects Create and launch your own AI products Start Building the Future with Agentic AI Agentic AI is transforming how software interacts, reasons, and automates tasks. This training is designed to help you: Learn practical skills → Build intelligent agents → Develop real projects → Advance your AI career Frequently Asked Questions (FAQ) – Agentic AI with Python Training in Nepal What is Agentic AI? Agentic AI refers to intelligent systems capable of reasoning, planning, making decisions, using tools, and autonomously completing tasks to achieve specific goals. Do I need prior experience to join this course? Participants should have fundamental Python programming knowledge and a basic understanding of programming concepts. Prior AI experience is beneficial but not mandatory. What frameworks will I learn? You will work with industry-relevant technologies such as LangChain, LangGraph, OpenAI APIs, vector databases, Hugging Face, and RAG systems. Will this course include hands-on projects? Yes. Every module includes practical exercises, and the course concludes with a capstone project where you build a real-world AI agent. Can this training help me in my career? Absolutely. Agentic AI skills are increasingly in demand across industries, opening opportunities in AI engineering, software development, automation, and intelligent product design. 4 Will I receive a certificate? Yes. Participants who successfully meet the completion criteria will receive a certificate upon completion of the training.
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AI IN CREATIVE CONTENT & VIDEO PRODUCTION
Course SynopsisAI in Creative Content & Video Production – This 20-hour beginner-friendly course introduces participants to AI-powered tools for content creation, video editing, and storytelling. Through a mix of hands-on labs and short lectures, learners will explore tools like RunwayML, Pika Labs, Firefly, and Descript to create AI-generated videos, animations, and scripts. The course focuses on practical application, making it ideal for content creators, marketers, and digital media enthusiasts. Learning MaterialsCurated digital handouts & tutorials on RunwayML, Adobe Firefly, Pika Labs, Descript, and Canva AISupplementary YouTube & case study links provided during sessions Completion Criteria80% class attendanceActive participation in lab sessionsCompletion of a final mini-project using AI tools PrerequisitesBasic computer skillsInterest in content creation or storytellingNo coding or design experience required
