AI Training & Teaching
Explaining AI concepts in plain language, running hands-on training sessions, and building beginner-friendly learning material around generative AI and practical AI tools.
Building with Technology. Learning with Data. Exploring Computer Applications.
Motivated and enthusiastic Computer Applications graduate with a Post Graduate Diploma in Computer Applications (PGDCA). Passionate about software applications, modern web technologies, programming, and continuous learning.
Rythm Kochar
Ludhiana, Punjab, India
Three roles, one direction: making technology useful and making it understandable.
I am a developer, a data science student, and an AI trainer. My work sits where software engineering meets applied artificial intelligence — building modern web experiences, exploring data, and making AI genuinely usable for the people I teach.
My academic background combines computer applications and data science. Studies in programming, databases, operating systems and software fundamentals gave me a systems-level view, while data science work sharpened how I collect, clean, analyse and visualise information.
AI Trainer — my defining professional area
I translate artificial intelligence out of jargon and into everyday practice: how models work, what generative AI can realistically do, and which tools are worth using for a given task.
Explaining AI concepts in plain language, running hands-on training sessions, and building beginner-friendly learning material around generative AI and practical AI tools.
Designing and shipping responsive, accessible interfaces — from component architecture and state management to layout systems and performance budgets.
Turning raw, messy datasets into clear narratives with exploratory analysis, statistics and visual dashboards that support real decisions.
Growing into an AI engineer and educator who ships production software, applies machine learning responsibly, and trains the next wave of AI-literate builders.
Clear communication, curiosity, patience when teaching, problem-solving under ambiguity, and the discipline to keep learning in a fast-moving field.
Comprehensive overview of my academic foundation, key competencies, language proficiencies, and career goals.
Computer Applications Graduate | Aspiring IT Professional
To start my professional career in a growth-oriented organization where I can apply my knowledge of computer applications, develop my technical abilities, learn from experienced professionals, and contribute to the success of the organization.
I am a motivated and enthusiastic Computer Applications graduate with a Post Graduate Diploma in Computer Application (PGDCA). I have a strong interest in technology and computer applications, along with good teamwork, leadership, problem-solving, and time-management skills. I am eager to begin my professional career, gain practical experience, and continuously develop my technical and professional skills.
Postgraduate Diploma Program
Comprehensive postgraduate study in computer applications, programming, database systems, web development, and software fundamentals.
Khalsa College for Women • Punjab University
Rigorous graduation curriculum building deep foundational knowledge in computational concepts and software tools.
CBSE Board
Senior secondary certification with solid grounding in analytical reasoning, sciences, and quantitative skills.
CBSE Board
Comprehensive secondary education developing academic discipline, collaboration, and foundational learning.
Teamwork
Demonstrated Competency
Time Management
Demonstrated Competency
Problem Solving
Demonstrated Competency
Leadership
Demonstrated Competency
Computer Applications
Demonstrated Competency
English
ProfessionalHindi
Native / FluentPunjabi
Native / FluentWatching Movies
Entertainment & Arts
Listening to Music
Audio & Culture
Learning New Technologies
Tech & Innovation
Exploring Computer Applications
Software & Digital Tools
Ready-to-print single-page PDF formatted for recruiters and hiring teams.
A working toolkit spanning artificial intelligence, software development and data analysis — with AI and training at the centre.
The area I spend most of my time in — learning how AI works and teaching others how to use it.
Core ideas: agents, search, knowledge representation, reasoning.
How large language and diffusion models generate text, images and code.
Chat assistants, AI coding tools, image generators, automation workflows.
Structuring instructions, context and constraints for reliable output.
Wiring AI into real products: chat, search, summarisation, automation.
Supervised and unsupervised learning, evaluation, bias and variance.
Sessions, workshops and materials that make AI approachable for beginners.
Live, tangible demos that show what AI can and cannot do.
Formal computer applications training paired with a focused, practical artificial intelligence programme.
Online AI Learning Program
A practical introduction to artificial intelligence covering AI fundamentals, machine learning concepts, generative AI, AI tools, and hands-on applications. The course focuses on understanding how modern AI systems work and applying them to real tasks.
Your Institute Name
A comprehensive postgraduate diploma covering computer applications, programming, databases, web development, operating systems, and software fundamentals — building the technical base for both development and data work.
Course details, institution names and certificate links are placeholders — update them in lib/data.ts.
Training people on artificial intelligence sits alongside hands-on development and data analysis work.
Your Organization
2024 — Present
Training & Enablement
Teaching artificial intelligence in a way that non-specialists can actually use — from first-principles explanations to supervised, hands-on practice with real AI tools.
Freelance / Personal Projects
2023 — Present
Development
Building responsive, accessible web interfaces with modern JavaScript tooling, component design systems and performance-conscious rendering.
Independent Study & Projects
2023 — Present
Learning & Analysis
Working through the data lifecycle end to end: sourcing raw data, cleaning it, exploring it statistically, and presenting findings visually.
Organisation names, dates and responsibilities are placeholders — replace them with your actual experience in lib/data.ts.
A mix of AI demonstrations, data analysis and the web applications that hold them together.
A curated set of live AI demos and guided exercises used in training sessions to show how generative AI behaves, where it helps, and where it fails.
An exploratory analysis project that takes a raw dataset through cleaning, aggregation and visualisation into a readable set of findings.
This site — a Next.js and TypeScript portfolio with Tailwind CSS, Material UI components and Framer Motion scroll interactions.
Have an IT, software or computer application opportunity, question, or collaboration in mind? Reach out directly.