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Foundations of Agentic AI

Starts Dec 24

Dec 24 - Jan 7 (2 weeks)

For

Grade 9-12

Fees

₹ 18,000

Cohort size

small group (4-8 students)

Foundations of Agentic AI

Outcomes

✔ Learn how agents perceive, plan and act, and how goals, memory, tools and actions fit together.

✔ Build a working no-code AI agent for a real task, tested, refined and demoed live.

✔ Publish your agent and project report on Futurowise, with a live link you can share.

✔ Apply your build to the Microsoft Imagine Cup, Conrad Challenge Cyber-Technology category and NASA International Space Apps Challenge.

Overview

Before the program Students receive a 1-hour pre-read covering foundational concepts, so Session 1 starts with context already in place. Week 1 - Understanding and designing Session 1 | Thursday, Dec 24 What is agentic AI? Difference between a chatbot and an agent. How agents perceive, plan, and act. Real-world examples with live demo. Session 2 | Friday, Dec 25 Anatomy of an agent. Goals, memory, tools, and actions. How to define a task clearly enough for an agent to execute it. Session 3 | Saturday, Dec 26 Agent design workshop. Students map out their own agent idea using a structured template. Group discussion and instructor feedback. Week 2 - Building and publishing Session 4 | Wednesday, Dec 30 Introduction to no-code agent tools. Instructor builds a live example. Students set up their tools and begin building. Session 5 | Friday, Jan 1 Building and testing. Students continue building, test against real scenarios, and refine. Instructor provides live support. Session 6 | Saturday, Jan 2 Final demos and wrap-up. Each student does a 2-minute agent demo. Peer feedback. Submission guidelines for project report and certificate. After the program Students complete their project report, submit for publishing, and receive their certificate. They walk away able to design, build and ship an agent for a task of their own choosing.

Instructor(s)


Surekha Ananthapalli

Data Science Associate Manager at Accenture Strategy and Consulting, Applied Intelligence Hub. Has mentored three Futurowise cohorts to date.


Why students choose Futurowise

Student Quote

The cohort size being small made the meetings very interactive which I really liked about this program. Moreover, I enjoyed researching for the project given to us, which were then very well evaluated and we were given valuable feedback about the real-world applicability. ​​

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Anwita

Jamnabai Narsee School, Mumbai

Student Quote

I loved that we got to actually build and test our own AI agents instead of just learning about them theoretically. It was really fun seeing my idea turn into a working prototype. I’d definitely recommend it to my friends if want to learn how to build something themselves. It’s practical, interactive, and you get to leave with your own working agent.​

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Saisha

The Shri Ram School, Gurugram

Student Quote

Futurowise's Carbon Credit Trading program broke down complex concepts, from trading mechanics to sustainability regulations, and connected every idea to how real markets actually work. I left with a clear understanding of something most adults find difficult to explain.​​​

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Pratyasha

Global Indian International School, Singapore

Student Quote

One thing that truly stood out to me was our instructor’s attitude and support, as he made the environment feel like a safe space, encouraging each of us to speak out our thoughts, offering us frequent smiles and nods.

 

 

 

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Shantanu

Step by Step School, Noida

₹ 18,000

Cohort: only 8 spots. Reserve your place today.

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