AI Young Data Scientist Training in Buldhana

AI Young Data Scientist Training in BuldhanaClassroom batchPlacement SupportInternship Support

AI Young Data Scientist Program for School Students

Name: Skillonit
Address: 3rd Floor, Shrishantul Tower, Chikhali Rd, Buldana, Maharashtra, 443002, IN
Telephone: +91 7083384100

India's Most Advanced Artificial Intelligence & Data Science Program for Kids. The world is entering the age of Artificial Intelligence. From ChatGPT, Self-Driving Cars, Smart Assistants, Robots, Medical AI, Space Technology, and Future Startups, Artificial Intelligence is shaping the future of every industry. Unfortunately, most students only learn these technologies after college. Skillonit's AI Young Data Scientist Program changes that. This revolutionary 15-month program is specially designed for students from Class 2nd to 10th, helping them learn Artificial Intelligence, Machine Learning, Data Science, Coding, Problem Solving, Innovation, Robotics, Entrepreneurship, and Future Technologies from an early age.

Instead of just using technology, students learn how to build technology. By the end of the program, students can create AI-powered applications, intelligent systems, automation projects, data-driven solutions, websites, software applications, and innovation projects. This is not just a course. This is a Future Technology Transformation Program.

Duration60 weeks

LanguagesHindi | English | Marathi

Rating4.9/5

Learners1,540

In-campus classroom training

Learners who want face-to-face teaching, fixed batches, and local classroom guidance.

Included in this mode

Instructor-led classroom sessionsIn-person doubt solvingComputer lab practiceBatch-wise assignments and tests

Learning flow

1Classroom orientation

2Guided practical sessions

3Weekly mentor review

4Project and certificate assessment

Why Skillonit's AI Young Data Scientist Program is Different

Unlike traditional computer courses, our program follows a practical, innovation-first approach. Students don't just learn theory. They build. They experiment. They innovate. They create.

Build real AI applicationsLearn Python and data scienceCreate innovation projectsEarn Young AI Data Scientist certification

What is Artificial Intelligence?

Artificial Intelligence (AI) is the ability of machines and computers to think, learn, solve problems, and make decisions similar to humans. Today AI is used in Google Search, ChatGPT, YouTube Recommendations, Netflix, Amazon, Self-Driving Cars, Smart Robots, Healthcare, Banking, Space Technology, Cyber Security, and Education. Students who understand AI today will lead tomorrow's world. Data Science is the science of collecting, analyzing, and understanding data to make better decisions. Every company in the world uses Data Science to understand customers, predict future trends, improve products, make smart business decisions, and develop AI systems. Students will learn how data becomes intelligence and how intelligence becomes innovation.

15-Month Structured Learning Path

Artificial Intelligence Training

Machine Learning Training

Data Science Training

Complete 15-Month Syllabus

Active module

Foundation

3 lessons

1Phase 1: Digital Foundation - Computer Fundamentals, Internet Fundamentals, Digital Literacy, Safe Internet Usage, Typing Skills, Computer Operations, File Management, Operating Systems, Google Workspace, Digital Productivity

2Phase 2: Coding Foundation - Logic Building, Problem Solving, Algorithms, Flowcharts, Programming Concepts, Introduction to Coding, Computational Thinking

3Phase 3: Programming with Python - Python Basics, Variables, Data Types, Conditions, Loops, Functions, Lists, Dictionaries, Projects, Games, Applications

Upcoming Batch Schedule

Selected batch

Classroom Batch

Start DateUpcoming

TimingsWeekday & Weekend

Duration15 Months

ModeClassroom

Learn from Industry Experts

Supports learners with AI, machine learning, data science concepts, applied projects, and analytical thinking.

Prathamesh Pathak focuses on practical AI Young Data Scientist training with a learner-first approach. Sessions combine clear concept explanation, demonstrations, lab-based practice, and interview-oriented guidance so students understand how the skill is applied in real work.

Concept clarityProject practicePortfolio mentoring

Real Industry Experience

Child-Friendly Teaching Methods

Practical Learning Approach

Innovation Mentorship

AI Project Guidance

Startup & Entrepreneurship Mentoring

Personalized Student Attention

Career Development Support

AI Young Data Scientist Certification Program

Upon successful completion, students receive the prestigious Skillonit Certified Young AI Data Scientist Certificate. This certification validates skills in Artificial Intelligence, Machine Learning, Data Science, Python Programming, Problem Solving, Innovation, Technology Development, and Project Creation.

Industry Recognition

Student Portfolio

College Admission Advantage

Competition Participation

Technology Skill Validation

Innovation Recognition

Future Career Preparation

Global Technology Exposure

Certificate ID

SKL-AI--2026

Certificate of Completion

AI Young Data Scientist Specialist

This certifies that the student has completed Skillonit’s AI Young Data Scientist training with practical tasks, quizzes, and project assessment.

Presented to

Student Name

For successful completion of AI Young Data Scientist Course

Completion Date

18 Jun 2026

★

Authorized Signature

Verification-ready certificate preview for LMS completion.

Prominent Features of AI Young Data Scientist Training in Buldhana

15-Month Structured Learning Path

Artificial Intelligence Training

Machine Learning Training

Data Science Training

Coding & Programming

Python Development

Real AI Projects

Portfolio Development

National-Level Certification

Online & Offline Learning

Recorded Sessions

Dedicated LMS Access

Innovation Challenges

Hackathons

Project Showcases

Parent Progress Reports

Career Guidance

Entrepreneurship Training

Leadership Development

Future Technology Exposure

Tools students practice

AI Young Data ScientistAIDigital foundationCoding foundationPython programmingData science foundation

AI Young Data Scientist Course in Buldhana

This course blends clear concepts, practical training, guided projects, quizzes, and career-focused assessment to help learners build confidence and move toward real opportunities.

Learn core foundations

Practice with guided tasks

Complete project assessment

Prepare for career roles

Future Careers This Program Prepares Students For

Students will build a strong foundation for future careers such as Artificial Intelligence Engineer, Machine Learning Engineer, Data Scientist, Software Developer, Cyber Security Specialist, Robotics Engineer, Automation Expert, App Developer, Web Developer, Blockchain Developer, Startup Founder, Technology Entrepreneur, Research Scientist, Innovation Consultant, Digital Creator, and Future Technology Leader.

Role-focused learning

Live project practice

Portfolio-ready skills

Why Parents Across India Are Choosing AI Education for Their Children

Most students spend 15-20 years in education but graduate without future-ready skills. The AI revolution is already here. Parents who prepare their children today will give them a significant advantage tomorrow. Skillonit's AI Young Data Scientist Program helps students learn future skills early, build confidence, become technology creators, think like innovators, develop leadership skills, improve problem solving, understand Artificial Intelligence, create real projects, become startup ready, become career ready, and prepare for the future.

Placement Support Includes

Learn Future Skills Early

Build Confidence

Become Technology Creators

Think Like Innovators

Develop Leadership Skills

Improve Problem Solving

Understand Artificial Intelligence

Create Real Projects

Become Startup Ready

Become Career Ready

Prepare for the Future

Why Students Trust Us

Computer Fundamentals

Coding & Programming

Python Programming

Data Science Fundamentals

Artificial Intelligence

Machine Learning

Data Analytics

Robotics Concepts

Computer Vision

AI Chatbots

Prompt Engineering

Automation

Mobile App Development Basics

Website Development

Innovation Thinking

Entrepreneurship

Startup Fundamentals

Public Speaking

Leadership Skills

Real AI Projects

Portfolio Development

Admission enquiry

Talk to a Skillonit counsellor

Share your details and our team will help you choose the right AI Young Data Scientist batch, learning mode, syllabus, fee plan, and career path.

Request Callback+91 7083384100

Download SyllabusAI Young Data Scientist course outline

WhatsApp GuidanceFast response from counsellor

Transform Your Child From Technology User to Technology Creator

Most children use smartphones, apps, games, and AI tools every day. Very few know how they are built. This program helps students move beyond consumption and become creators of technology. By the end of 15 months, students will have built projects, explored Artificial Intelligence, developed problem-solving abilities, and gained exposure to future technologies that many students only encounter during engineering or college education. The goal is simple: Create the next generation of AI Innovators, Data Scientists, Startup Founders, and Technology Leaders from India.

Career roles

AI Trainee

Build strong foundation skills in AI Young Data Scientist

Project Intern

Apply concepts through guided practical projects

Freelance Beginner

Use portfolio work to start client-ready practice

Career Starter

Prepare for internships, jobs, or higher learning

The Next Generation Skillonit Is Building

AI Engineers

Data Scientists

Software Developers

Startup Founders

Technology Innovators

Researchers

Robotics Experts

Problem Solvers

Digital Creators

Global Technology Leaders

Internship Program

AI Young Data Scientist Internship Program in India

Skillonit’s AI Young Data Scientist Internship Program in India is a mentor-guided practical pathway available in 1-month, 3-month and 6-month formats. Participants learn how to help young learners progress from computer basics and logic to coding, Python, data stories, machine learning, responsible AI and their own supervised AI applications. The program combines structured training, assignments, project reviews, documentation, portfolio support and a completion certificate subject to published requirements.

The internship is designed for learners aged 6–16, grouped into age-appropriate foundation, explorer and innovator pathways with parent or guardian involvement. It turns course knowledge into structured practice through mentor-led onboarding, guided tasks, project milestones, review meetings, documentation and a final presentation. Participants are expected to build, test, explain and improve their work instead of only watching demonstrations.

1 month3 months6 monthsIndia

Apply Now

Available durations

1 month, 3 months and 6 months

Delivery modes

Live online, classroom or hybrid—subject to the selected batch and location

Learning model

Training + mentor-guided tasks + project reviews + portfolio evidence

Projects

Mini project, guided projects and capstone according to duration

Support

Onboarding, doubt clearing, task planning, review feedback and presentation guidance

Certificate

Issued after required attendance, submissions, evaluation and final presentation

About Program

About the Internship Program

Skillonit’s AI Young Data Scientist internship is designed as a bridge between learning and practical delivery. Interns begin with a baseline assessment and a clear task plan, then progress through demonstrations, guided exercises, independent work and review. The focus is on understanding why a solution works, how to communicate decisions and how to improve quality after feedback.

The work is aligned with digital literacy, logic, block coding and safe technology use, Python applications, data analysis and visual stories and advanced Python, model evaluation and responsible AI. Longer pathways include more complex requirements, collaboration, documentation, testing and presentation. Interns maintain a task log or project board so that progress can be reviewed objectively rather than judged only by the final output.

The internship does not guarantee employment, freelance income, client allocation or a stipend. It provides practical exposure, evidence of completed work and career-readiness support. Any employment or paid internship opportunity is published separately with its own eligibility, application deadline, compensation and selection process.

Duration Options

Choose your internship duration

Option 1

1-Month AI Young Data Scientist Foundation Internship

The one-month pathway is a focused four-week experience for learners who want an introduction to professional AI, coding and data science for young learners practice. It prioritizes orientation, essential tools, one clear workflow and a mentor-reviewed mini project. It is most suitable for beginners, students testing the domain, or course learners who need a short practical component.

Week 1 – Orientation and foundation: skill assessment, program rules, tool setup, task tracking, digital literacy, logic, block coding and safe technology use and a short guided exercise.

Week 2 – Core practice: beginner Python and data representation, mentor demonstration, individual practice and a quality checklist.

Week 3 – Mini project build: apply creative problem-solving and project communication to a scoped project with milestone review and corrections.

Week 4 – Finalization: testing or quality review, documentation, presentation, mentor feedback and next-learning roadmap.

Expected 1-month evidence: One completed mini project, task log, project summary, mentor feedback record and final presentation. Example project: Interactive coding story or game.

Option 2

3-Month AI Young Data Scientist Applied Internship

The three-month pathway is the recommended option for learners who want meaningful portfolio evidence. It combines a foundation phase, an applied phase and a capstone phase. Interns work on at least two guided assignments and one larger project, with regular reviews that focus on quality, documentation and problem-solving.

Month 1 – Foundation and workflow: digital literacy, logic, block coding and safe technology use, beginner Python and data representation, creative problem-solving and project communication; tool setup; guided exercises; communication and documentation standards.

Month 2 – Applied delivery: Python applications, data analysis and visual stories, age-appropriate machine-learning concepts, chatbot, image or recommendation prototypes; first project review; debugging, critique or analysis; iteration after feedback.

Month 3 – Capstone and portfolio: build Python utility or quiz application or another approved project; complete testing, documentation, presentation and portfolio packaging.

Expected 3-month evidence: Two guided projects, one capstone, weekly progress records, review notes, final presentation and a portfolio-ready case study. Suggested project options include Data-story dashboard, Python utility or quiz application and Image or text classifier with safe data.

Option 3

6-Month AI Young Data Scientist Advanced Internship

The six-month pathway is intended for learners seeking deeper, sustained practical experience. It includes specialization, team workflow, quality assurance and a production-style capstone. Interns gradually take greater ownership while remaining accountable to scope, security, ethics and mentor review.

Month 1 – Foundation: digital literacy, logic, block coding and safe technology use and beginner Python and data representation, baseline tasks and work standards.

Month 2 – Core build: creative problem-solving and project communication plus the first guided project and review cycle.

Month 3 – Applied specialization: Python applications, data analysis and visual stories and age-appropriate machine-learning concepts with an intermediate project.

Month 4 – Integration: chatbot, image or recommendation prototypes and cross-functional workflow, documentation and quality checks.

Expected 6-month evidence: A structured portfolio containing three or more projects, an advanced capstone, documented iterations, mentor reviews, a presentation and a skills matrix. Suggested advanced projects include Image or text classifier with safe data, Supervised AI assistant prototype and Young innovator capstone and demo day.

Skills and Tools

What Interns Will Learn and Practice

Foundation skills: digital literacy, logic, block coding and safe technology use, beginner Python and data representation, creative problem-solving and project communication.

Applied skills: Python applications, data analysis and visual stories, age-appropriate machine-learning concepts, chatbot, image or recommendation prototypes.

Advanced skills: advanced Python, model evaluation and responsible AI, AI application design, APIs and deployment in supervised environments, innovation portfolio and demo-day capstone.

Problem decomposition, requirement clarification and task estimation.

Professional communication, asking useful questions and reporting blockers early.

Documentation, version control or evidence management appropriate to the domain.

Quality assurance through testing, review, critique, validation or rehearsal.

Portfolio presentation that explains the problem, process, decisions, result and lessons learned.

Working Environment

Tools, Platforms and Working Environment

The exact stack may vary by batch and project. Typical tools include Scratch or MakeCode where appropriate, Python, Jupyter or approved notebook, pandas, beginner-friendly visualization tools, scikit-learn with guided templates, safe generative AI tools, GitHub or supervised portfolio platform. Skillonit should publish only the tools that are actually supported in the selected batch and provide setup guidance, access requirements and alternatives where paid licences are involved.

Project Practice

Live Projects and Portfolio Work

Real client projects are included only when an approved project, permission and review process are available; otherwise learners work on realistic industry simulations or mentor-designed capstones.