Chat Interface
Create the interface through which users talk to your AI Agent.
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Embark on your AI agent journey and ship your first creation!
Watch the final AI Agent working before you even start the course.
Meet Your Instructor
This course is taught from an industry practitioner's perspective: understand the concept, implement it yourself, connect it to real systems, and take the final product all the way to deployment.
Rohit is a Data Scientist, AI practitioner and instructor with experience building applied machine learning and AI systems across large organizations. His work spans machine learning, forecasting, NLP, Generative AI, RAG, AI Agents and production applications. His teaching philosophy is equally practical: learn the concept, build it yourself and turn it into something you can actually show, explain and deploy.
Practical experience across data science, machine learning, Generative AI, production systems and technical education.
Experience building end-to-end AI and data products involving predictive machine learning, forecasting, NLP, RAG, document intelligence, AI Agents, APIs, deployment and production workflows. The course follows the same build-first philosophy.
Your Final Output
Not a disconnected notebook. Build one complete system that can communicate, reason, call tools, save data, schedule actions and run online.
Create the interface through which users talk to your AI Agent.
Give the agent custom functions and external APIs.
Understand how agents decide which action to take.
Let the agent find slots and schedule meetings.
Save leads, trigger actions and send notifications.
Put the final application online so people can use it.
Simple Learning Path
Each module prepares you for the next one. No random topics and no unnecessary complexity.
Learn By Doing
The objective is not to finish videos. The objective is to finish the course with something real you built yourself.
We begin with the Python and API concepts required for the course, so you do not need to already be an AI engineer.
You then learn how LLMs interact with tools, how function calling works, how agents make decisions, how memory is used and how external systems can be connected.
Instead of studying these ideas as isolated topics, you use them while building the final application.
Your AI Agent will be able to communicate with users, call tools, save information, schedule meetings, trigger notifications and run as a deployed application.
Everything You Will Learn
Everything Included
One clear path from fundamentals to deployment.
Build alongside the instructor instead of only watching.
Finish with an AI Agent you can actually demonstrate.
Revisit lessons whenever you need to revise.
Receive a course completion certificate.
Learner Feedback
I started with limited knowledge of AI Agents, but everything was explained simply and step by step.
I went from barely understanding agents to building and deploying a working system.
The course focuses on building something useful instead of overwhelming you with unnecessary theory.
Learn from fundamentals, understand how agents work, build a complete AI product and deploy it.
Launch your Graphy