Our Courses
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ETHICAL HACKING & CYBER SECURITY WITH AI
Course SynopsisThis course covers cybersecurity, ethical hacking, attack phases, countermeasures, Bug Bounty Hunting, Penetration Testing, Forensics, and more. It provides insight into hacker mindset for enhancing security and safeguarding against future threats. By comprehending system weaknesses, organizations can bolster security to mitigate potential incidents. Required Textbooks Mary Aiken, “The Cyber Effect”, Random House.Peter Kim, “The Hacker Playbook 3”, Peter Kim.Helden Wong, “Cyber Security: Law and Guidance”, Bloomsbury Professional. 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 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 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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FULL STACK WEB DEVELOPMENT - MERN STACK
Course SynopsisHTML and CSS, browser programming (using JavaScript, jQuery, Angular, or Vue), and server programming (using PHP, ASP, Python, or Node) are all covered in this course to help you become a full stack web developer. Required TextbooksVasan Subramanian, “Pro MERN Stack”, 1st Edition, Apress.Shama Hoque, “Full-Stack React Projects”, Packt.Greg Lim, “Beginning MERN Stack”, Greg Lim. 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 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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DATA SCIENCE AND MACHINE LEARNING IN PYTHON
Course SynopsisThis course is targeted for beginners who want to learn how to think and write meaningful pieces of code or read codes written by someone else in Python. This course teaches how to map literary description of a problem (requirement) to an application/library coded in Python. This is a core basic level course that is essential for anyone who has no prior programming experience but wishes to be a professional Python engineer in future. Required Textbooks Chris Albon, “Machine Learning with Python Cookbook”, O’Reilly Media Inc. US.LazyProgrammer, “Deep Learning in Python”, LazyProgrammer, US.Oliver Theobald, “Machine Learning for Absolute Beginners”, Scatterplot 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 assignment. 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 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.There is no prior educational level requirement for this course. Anyone from 10+2 student to someone who is doing their 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.
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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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SOFTWARE QUALITY ASSURANCE (QA)
Course SynopsisThe course is structured to assist students in learning key topics in Software Quality Assurance, such as software testing objectives, processes, criteria, strategies, and methodologies. The course also covers subjects like how to create test cases and test data, how to execute testing operations, how to manage software problems and defects, software test automation using real-world examples, and how to perform software security and performance testing. Required TextbooksSagar Naik and Piyu Tripathy, “Software Testing and Quality Assurance”, Wiley.Cem Kaner, Jack Falk and H.Q. Nguyen, “Testing Computer Software”, 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 second module. PrerequisitesFundamental understanding of programming, bits/bytes, procedures, classes, and computer architecture. It's absolutely acceptable if you only have a theoretical understanding of programming, but you should be certain about what programming is and what you intend to gain from this session.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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PROFESSIONAL DATA ANALYTICS PROGRAM
Professional Data Analytics Program in Nepal Master Excel, SQL, Python & Power BI with Hands-On Practical TrainingJob-Ready, Industry-Focused & Fully Practical ProgramBecome a job-ready Data Analyst by learning the complete data analytics workflow using Microsoft Excel, SQL, Python, and Microsoft Power BI through hands-on projects and real-world business scenarios.No unnecessary theory overload. Learn how to collect, clean, analyze, visualize, and present data to solve real business problems and make data-driven decisions. What You Will Be Able To Do After This Training You will learn how to:● Understand the complete Data Analytics lifecycle● Collect, clean and prepare data for analysis● Analyze business data using Microsoft Excel● Query and analyze databases using SQL● Analyze and explore data using Python● Build interactive dashboards using Power BI● Solve real-world business problems using data● Present actionable insights to stakeholders● Build a professional Data Analytics portfolio● Prepare for Data Analyst technical and HR interviews Core Data Analytics SkillsYou will master how to:● Perform data cleaning and preparation● Use Excel functions, formulas and Pivot Tables● Write SQL queries and work with databases● Perform data analysis using Python, NumPy and Pandas● Conduct Exploratory Data Analysis (EDA)● Create meaningful data visualizations● Build data models and use DAX in Power BI● Design interactive reports and dashboards● Convert raw data into actionable business insights What You Will Learn (Modules Covered)● Data Analytics Fundamentals – Analytics Lifecycle, Types of Analytics, Business Understanding & Data-Driven Decision Making● Microsoft Excel for Data Analytics – Data Cleaning, Functions & Formulas, Pivot Tables, Charts, Dashboards & Business Reporting● SQL for Data Analytics – Database Fundamentals, Queries, Filtering, Aggregation, Joins, Subqueries, CTEs, Window Functions & Query Optimization● Python for Data Analytics – Python Fundamentals, NumPy, Pandas, Data Cleaning, EDA & Visualization● Microsoft Power BI – Power BI Fundamentals, Power Query, Data Modeling, DAX, Interactive Reports, Dashboard Design & Power BI Service● Capstone Project – Business Problem Understanding, Data Preparation, Analysis, Dashboard Development & Insight Presentation● Career Development & Interview Preparation – Resume Building, LinkedIn Optimization, Portfolio Development, Technical & HR Interview Preparation and Business Case SolvingHands-On ProjectsThroughout the program, you will work on practical projects including:● Sales Performance Dashboard● Retail Sales Analysis● Customer Behavior Analysis● Executive Business Dashboard● Capstone Data Analytics Project Who This Course Is ForPerfect for:● Students and fresh graduates looking for Data Analyst careers● Professionals looking to transition into data analytics● Business professionals who want to make data-driven decisions● Working professionals upgrading their analytical skills● Aspiring Data Analysts and Business Analysts● Anyone looking to build a career in data analyticsNo prior educational qualification is required. Why This Training Is Different✔ Basic to Advanced structured learning path✔ Learn through Theory + Practical + Industry Projects✔ Complete analytics workflow from raw data to insights✔ Hands-on projects based on real-world business scenarios✔ Dedicated portfolio development✔ Technical and HR interview preparation✔ Practical exposure to multiple industry-standard tools✔ Capstone project to demonstrate your analytics skills Tools You Will Learn● Microsoft Excel● MySQL / SQL Server● Python● NumPy & Pandas● Jupyter Notebook● Visual Studio Code● Microsoft Power BI● Git & GitHub (Introduction) Career After This TrainingAfter completing this program, you can:● Start your career as a Data Analyst● Apply for data and business analytics roles● Build and showcase a professional analytics portfolio● Work with business data and generate actionable insights● Create professional dashboards and reports● Transition into data-driven roles across different industries Program StructureThe program is designed as a 55-day, 2-hours-per-day practical learning program covering the complete journey from Data Analytics fundamentals to career preparation.Learn Data → Analyze Data → Visualize Insights → Solve Business Problems → Build Your Career Start Your Data Analytics Career TodayData is at the heart of modern business decision-making. This program is designed to help you develop the technical, analytical, business and career skills required to become a job-ready Data Analyst.Learn practical skills → Work on real projects → Build your portfolio → Prepare for interviews → Launch your career Frequently Asked Questions (FAQ) – Professional Data Analytics ProgramWhat is the Professional Data Analytics Program?It is a comprehensive Basic to Advanced training program designed to develop the technical, analytical and business skills required to become a job-ready Data Analyst. The program covers Excel, SQL, Python and Power BI through practical projects and business scenarios.Do I need any prior experience to join this course?No. The syllabus states that there is no prior educational level requirement for the course.What will I learn in this training?You will learn Data Analytics fundamentals, Excel, SQL, Python, Power BI, data cleaning, data visualization, dashboard development, business problem-solving, portfolio development and interview preparation.Will I work on practical projects?Yes. The program includes mini projects such as Sales Performance Dashboard, Retail Sales Analysis, Customer Behavior Analysis and Executive Business Dashboard, followed by a capstone project.Will the training help me prepare for Data Analyst jobs?Yes. The program specifically includes resume building, LinkedIn optimization, portfolio development, technical interview preparation, HR interview preparation and business case solving.What tools will I learn?You will work with Microsoft Excel, MySQL/SQL Server, Python, Jupyter Notebook, Visual Studio Code, Microsoft Power BI, and an introduction to Git & GitHub.
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Fundamentals of US Healthcare and Data Analytics
Embark on a transformative journey through the fundamentals of US healthcare and data analytics in this three-month course, blending theory with practical applications for 2 hours daily. Explore crucial data components like eligibility, claims, pharmacy, and provider files, delving into MRF, SQL, MongoDB, PySpark, ETL techniques, and data quality considerations. The course concludes with an introduction to AWS services, empowering participants to master advanced data modeling and ETL techniques, ultimately leading to proficient use of AWS-driven data analysis and visualization tools.
