Certificate Program
in Applied Artificial Intelligence
An Early Advantage in an AI-Driven World
By HOAG × BITS BioCyTiH Foundation
A 3-month, 50-hour, weekend-only online program designed to take students aged 12 to 17 from AI users to AI builders through structured, hands-on learning in real-world AI systems, tools, and applications.
Program Format
Format: 100% Online
Live Classes
Program Schedule
Start Date: 1st August, 2026
Saturday & Sunday: 11:00 AM-1:00 PM
Duration: 3 Months
Learning Hours: 50 Hours
Program Criteria
Eligibility: Students Aged 12-17 Years
Cohort Size: Limited to 30 Students
Program Fees
₹49,999 + GST
Why AI Capability Matters Now More Than Ever
Artificial Intelligence is becoming a foundational layer across industries, from healthcare and finance to design, entrepreneurship, engineering, and research. By the time today’s students enter universities and workplaces, the ability to work effectively with AI will no longer be a specialised advantage. It will be an expected capability.
The Certificate Program in Applied Artificial Intelligence has been designed to help students move beyond passive AI usage and develop a deeper understanding of how intelligent systems function, how they make decisions, and how they can be applied to solve real-world problems.
Through structured learning, guided projects, expert mentorship, and exposure to real AI infrastructure, students develop both technical confidence and future-ready thinking skills that extend far beyond the classroom.
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What Makes This Program Different?
Learn Inside a Real AI Ecosystem
Students gain access to the Ojas High Performance Computing (HPC) environment hosted at BITS Pilani Hyderabad Campus, with exposure to the infrastructure, workflows, and systems used to train, test, and deploy modern AI applications. Select modules are supported by faculty and experts from the BITS BioCyTiH Foundation ecosystem.
Learn Beyond the Classroom
Learning continues long after the program ends. Students receive 12-month access to the learning infrastructure, allowing them to experiment, refine projects, and deepen their understanding of AI at their own pace while building lasting confidence with emerging technologies.
Build, Showcase & Get Recognised
Students progressively build a portfolio of AI-powered projects, culminating in a final capstone application that can be deployed and showcased. Throughout the program, they earn milestone-based certifications from BITS BioCyTiH Foundation and HOAG
Learn by Building
Students actively create AI models, conversational assistants, automation workflows, and real-world applications. Every concept is reinforced through hands-on implementation rather than passive content consumption.
Learn Within a Structured Support System
The program follows a mentor-supported learning model with small cohorts, guided build sessions, interactive workshops, and personalised support. Students learn not only what to build, but also why systems work the way they do.
Develop Future-Ready Thinking
Beyond technical exposure, students strengthen critical thinking, structured reasoning, problem-solving, creativity, communication, and confidence with emerging technologies.
AI is changing every
profession.
And this is only
the beginning.
The what and the how of the program
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The Learning Journey
Phase 1: AI Foundations
Students learn how AI systems work and begin building their first AI-powered models and conversational experiences. They develop a foundational understanding of machine learning concepts through guided experimentation.
Phase 2: Machine Learning, Data & Generative AI
Students explore how AI learns from data, build prediction models, understand prompt engineering, and work with modern generative AI systems and large language models.
Phase 3: AI Product Building & Capstone
Students apply everything they have learned to design, build, deploy, and present an AI-powered solution that addresses a real-world challenge. The journey concludes with a project showcase and portfolio presentation.
Core AI Skills Students Will Build
- Artificial Intelligence fundamentals
- Machine Learning concepts and applications
- Natural Language Processing (NLP)
- Large Language Models (LLMs)
- Prompt engineering and AI evaluation
- Data analysis and prediction systems
- AI automation workflows
- AI product design and problem-solving
- Project deployment and presentation
- Responsible AI usage and decision-making
Tools & Technologies
Students gain exposure to a range of industry-relevant AI platforms and tools through structured, beginner-friendly learning environments. Tools include:
- Google Teachable Machine
- Orange Data Mining
- Voiceflow
- Botpress
- Hugging Face
- Ollama
- Streamlit
- Gradio
- Canva AI
- Zapier
- Figma
- Notion AI
- OpenAI and Claude environments
Who Is This Program For?
This program is designed for students aged 12-17 who are curious about technology, creativity, innovation, entrepreneurship, and how modern systems work.
It is particularly suited for students who:
- Are already exploring AI tools and platforms
- Enjoy building, creating, and experimenting
- Learn best through hands-on experiences
- Are interested in technology, gaming, design, media, or entrepreneurship
- Want to understand how AI works behind the interface
No prior coding experience, technical background, or AI knowledge is required
Learning Outcomes
By the end of the program, students will be able to:
- Understand how modern AI systems function
- Build AI-powered applications and chatbots
- Create automation workflows using AI tools
- Analyse and evaluate AI-generated outputs critically
- Apply AI to solve real-world challenges
- Present technical ideas with confidence
- Build and showcase a portfolio of AI projects
In addition, students develop:
- Systems thinking
- Structured problem-solving ability
- Creative and analytical thinking
- Communication and presentation skills
- Confidence working with future technologies
- A builder mindset rather than passive technology consumption
Milestone-Based Certification Pathway
Certificate in Foundations of AI & Data Intelligence
Awarded upon completion of the foundational learning modules.
Certificate in Generative AI & Automation Systems
Awarded upon completion of the generative AI and automation learning modules.
Certificate in AI Product Design & Capstone
Awarded upon successful completion and deployment of the final capstone project.
Certificate of Completion: Applied Artificial Intelligence Program
Awarded upon successful completion of the entire program.
Faculty & Mentorship
Prof. Kunal K. Korgaonkar
Professor Computer Science, BITS Pilani Goa Campus
Prof. Kunal K. Korgaonkar is an Assistant Professor in the Department of Computer Science and Information Systems (CSIS) at BITS Pilani, Goa Campus, and Lead Investigator of the Confluences of Computing (Confluence) Lab. His research focuses on developing novel computing paradigms at the intersection of science, technology, and society, with applications in healthcare, education, security, and sustainable development. His work spans quantum-classical hybrid systems, machine learning, neuromorphic computing, trustworthy AI, and distributed cyber-physical systems. Prof. Korgaonkar holds a PhD from UC San Diego, an MS (By Research) from IIT Madras, and completed his postdoctoral research at Technion, Israel. He has also held research and development roles at Intel Labs, AMD Research, and IBM Research.
Dr. Dhanshree Thulkar
Head Project Management at Quantum AI Global
Dr. Dhanshree Thulkar is a PMP-certified professional and currently serves as the Head of Project Management at Quantum AI Global, where she leads high-impact initiatives focused on technology innovation and execution. With a PhD and expertise in machine learning, deep learning, data science, and image and signal processing, she specializes in translating research into scalable solutions. Previously, she served as Technology Manager at the BITS BioCyTiH Foundation, driving innovation and technology commercialization efforts across the BITS Pilani, Goa, and Hyderabad campuses. Her diverse experience spans quantitative research, entrepreneurship, academia, and technology leadership, with a strong focus on mentoring startups, fostering industry-academia collaboration, and accelerating the path from research to real-world impact.
Dr. Ashutosh Shandilya
Manager (Training and R&D), BITS BioCyTiH Foundation
Dr. Ashutosh Shandilya is a scientist and innovation leader specializing in computational biophysics and Bio-Cyber-Physical Systems (Bio-CPS). He currently serves as Manager (Training and R&D) at the BITS BioCyTiH Foundation, Hyderabad, where he works at the intersection of academic research, technology development, and industry commercialization. With over 15 years of research experience, including a PhD from IIT Delhi and a Postdoctoral Fellowship at Georgia State University, USA, his expertise spans AI-driven computer-aided drug design, structural biology, next-generation sequencing, and computational life sciences. Dr. Shandilya has authored more than 25 scientific publications and is deeply committed to translating fundamental biological research into scalable technologies while fostering innovation and entrepreneurship. An experienced educator and curriculum developer, he has been leading bioinformatics and AI-focused training programs since 2010, with a strong focus on developing industry-relevant talent and advancing life science innovation.
Frequently Asked Questions
Does my child need coding experience to join?
No. The program is designed for beginners and uses guided, hands-on learning with modern no-code and low-code AI platforms.
Is the program suitable for students with no technology background?
Yes. Curiosity, creativity, and willingness to learn are more important than prior technical knowledge.
What makes this different from online AI tutorials or YouTube videos?
Most online content focuses on passive learning. This program focuses on structured understanding, guided project-building, mentorship, and real-world application.
Will students actually build projects?
Yes. Students build Al models, chatbots, automation workflows, multimedia projects, and a final capstone application during the program.
Is the program fully online?
Yes. All sessions are conducted live online with mentor interaction, guided breakout rooms, and collaborative activities.
What will students have by the end of the program?
Students graduate with practical AI experience, deployed projects, a portfolio of work, milestone certifications, and stronger future-ready skills.
How many students are there in each cohort?
Each cohort is limited to 30 students to ensure personalized mentorship and interaction.
Will students get access to Al infrastructure outside class hours?
Yes. Students receive 12-month access to the Ojas HPC infrastructure environment for continued experimentation and project work.
Will students receive certificates?
Yes. Students receive four milestone-based certifications upon successful completion of program requirements.
What equipment does my child need?
A laptop or desktop computer with stable internet access, a microphone, and a webcam is recommended.
What happens during the final showcase?
Students present their capstone projects through a live demonstration, explaining their ideas, workflows, implementation process, and outcomes.
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