Our Courses
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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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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 No outdated concepts.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
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AI Powered Digital Marketing
AI-Powered Digital Marketing Training in Nepal Learn Digital Marketing, AI Tools, Ads, SEO & Freelancing with Hands-On Practical Training Job-Ready, Business-Focused & Fully Practical Program Become a skilled digital marketer by learning how to use AI + real marketing tools + real campaigns to grow businesses, get clients, and build your career. No theory overload. No confusion. Only practical skills you can actually use to earn and grow. What You Will Be Able To Do After This Training You will learn how to: ● Create marketing strategies for any business ● Run Meta & Google ads campaigns ● Write content, ads & captions using AI ● Design creatives using Canva ● Build websites & landing pages using WordPress ● Set up email marketing automation ● Grow Instagram, TikTok & LinkedIn organically ● Do SEO and improve Google rankings ● Start freelancing and get clients AI-Powered Marketing Skills (Future-Ready Training) You will master how to use AI for: ● Content writing & copywriting ● Ad creation & campaign planning ● Market & competitor research ● SEO keyword research ● Email writing & automation ● Creative image & video generation ● Faster marketing execution Work faster like modern marketers and agencies using AI tools. What You Will Learn (Modules Covered) ● Digital Marketing Strategy & Customer Psychology ● AI for Marketing & Prompting ● Content Marketing + Canva Design ● AI Content Creation (Images, Videos, Ads) ● Meta Ads & Paid Social Media Marketing ● Organic Growth & Personal Branding ● Email Marketing & Automation ● SEO & Analytics ● Google Ads ● WordPress Websites & Landing Pages ● Freelancing & Client Acquisition Who This Course Is For Perfect for: ● Students & freshers looking for jobs ● Business owners who want more sales ● Freelancers who want clients ● Working professionals upgrading skills ● Anyone starting a digital career No prior experience needed. Why This Training Is Different ✔ Learn by doing, not just watching ✔ Every module includes practical execution ✔ AI integrated into every marketing skill ✔ Real-world campaigns, not theory ✔ Focus on freelancing + job + business outcomes ✔ Step-by-step guided training Tools You Will Learn ● AI Tools ● Canva (design & creatives) ● Meta Ads Manager ● Google Ads ● Google Analytics & Search Console ● WordPress ● Email Marketing Tools (Mailchimp / Brevo) ● And Many More… Career After This Training After completing this course, you can: ● Get a job in digital marketing ● Start freelancing with real clients ● Run ads for businesses ● Build your own online business ● Work in marketing agencies Start Your Digital Marketing Career Today Digital marketing + AI is one of the fastest-growing skill combinations in the world. This training is designed to help you: Learn practical skills → get clients → build career → grow income Frequently Asked Questions (FAQ) – AI-Powered Digital Marketing Training in Nepal What is AI-Powered Digital Marketing Training? It is a practical training program where you learn digital marketing skills like ads, SEO, content, websites, and freelancing along with AI tools to work faster and more efficiently.Do I need any experience to join this course? No experience is required. You just need basic computer knowledge. Everything is taught from scratch in a simple, practical way. What will I learn in this training? You will learn content marketing, Meta Ads, Google Ads, SEO, Canva design, WordPress websites, email marketing, freelancing, and how to use AI in digital marketing. Can I get a job or start freelancing after this course? Yes. This training is designed to make you job-ready and help you start freelancing or work in digital marketing roles after completion. Will I learn AI tools in this course? Yes. You will learn how to use AI for content writing, ads, SEO, marketing strategy, email writing, and creative generation to speed up your work.
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AI-augmented UI/UX Designing
Course SynopsisThe AI-Augmented UI/UX Designing course takes a design-centric approach to user interface and user experience design, providing practical, skill-based training oriented on visual communications rather than marketing or programming alone.This course will teach all aspects of the UI/UX development process, from user research to establishing a project's strategy, scope, and information architecture, to generating sitemaps and wireframes. Required TextbooksJoel Marsh, “UX for Beginners”, O’ReillyJenifer Tidwell, Charles Brewer and Aynne Valencia, “Designing Interfaces”, O’Reilly 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. PrerequisitesThere is no prior educational requirement for this course.
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ANDROID PROGRAMMING
Course SynopsisAndroid 1 course is aimed at beginners looking to grasp meaningful coding and reading skills in Android development. It focuses on translating problem descriptions into Android applications or libraries. This fundamental course is essential for those without prior programming experience, aspiring to become professional Android engineers. Android - Level 2 course is designed for students with prior basic programming knowledge in languages like Java, Obj-C, PHP, C, C++, etc., who want to transition to Android development. It's suitable for high school and university students, existing VB.NET developers shifting to Android, media industry professionals, and freelance PHP developers seeking to enhance their skills in Android. Required Textbooks Dawn Griffiths and David Griffiths, “Head First Android Development”, O’Reilly.Barry Burd, “Java Development for Android Developers for Dummies”, Wiley. 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 next module. PrerequisitesBasic knowledge of 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 ANDROID (self-study and practice).There is no prior educational level requirement for this course. Anyone from 10+2 student to someone who is doing her PHD 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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APPLIED DATA ANALYSIS (SPSS DATA ANALYSIS)
Course SynopsisThe course is designed for both beginner and advanced researchers who wish to learn about SPSS Data Analysis for the purpose of research. Any undergraduate and postgraduate level students/professionals from any background who want to study the practical approach to data analysis is welcome to take the course. There is no prior educational level needed for this course; nonetheless, you should have strong convictions about what Data Analysis is and what you intend to achieve from it. Required TextbooksAndy Field, “Discovering Statistics Using IBM SPSS Statistics” Sage Texts.Darren George and Paul Mallery, “IBM SPSS Statistics 25 Step by Step”, Routledge.N.L. Leech, K.C. Barrett and G.A. Morgan, “IBM SPSS for Intermediate Statistics”, Routledge. 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 next module. PrerequisitesThere is no prior educational level requirement for 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.
