DIYA Programs

Conduct data-driven AI research: build predictive models and produce a research-style paper and presentation to showcase your work.

Build the skills to turn an idea into a real AI-powered product. Learn prompting, agents, and modern prototyping including teamwork, problem-solving, and responsible AI habits.

Explore how artificial intelligence is used to detect cyber threats, prevent online scams, and protect digital systems through real-world examples and hands-on activities.

Dive into AI, data science and ML core concepts with hands-on learning and capstone projects. Requires prior Python experience.

Learn to interpret medical research, understand AI in clinical practice, and conduct original health data analysis—the critical thinking skills every future physician needs.

Learn how artificial intelligence powers robots and autonomous systems through simulations, real-world examples, and hands-on problem-solving activities.

Discover how AI works, where it shows up in everyday life, and how to use it effectively for school, creativity, and beyond — no coding required.

Build strong Python foundations for AI through hands-on projects—APIs, web scraping, and interactive apps—ending with a capstone showcase.

Transform AI expertise into business solutions. Work in teams to design, prototype, and pitch AI-driven products with weekly sessions and guided build time.

Professional development program helping educators integrate research skills and methodologies into their curriculum. Includes lesson plans, assessment tools, and ongoing support.

Professional development program helping educators integrate data science and AI concepts into existing lesson plans across subjects with hands-on tools and real-world examples.

Learn to teach AI and data science using Python libraries like Pandas, NumPy, Scikit-learn, and TensorFlow through guided projects, coding challenges, and classroom-ready curricula.

Master data visualization and statistical analysis using CODAP and Tableau to create engaging, interactive lessons that develop students' data literacy and critical thinking skills.