A practical roadmap for college students and early-career developers who want to move from using AI tools to building real AI applications.
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📅 Google Calendar🗓 Apple / OutlookAlmost everyone now uses ChatGPT, Gemini and Copilot. But using those tools does not make you an AI developer. The question that matters in an interview is different: can you build an AI-powered application, and can you explain how it works?
In 90 minutes we cover what an AI application developer actually does, what the complete architecture looks like, which skills to learn first, which projects are worth building — and which ones every other candidate has already submitted.
Know exactly where to start instead of collecting more tutorials
The areas that matter, in a sensible order
What to build instead of another sentiment-analysis notebook
How the components of an AI application connect
The realistic paths into AI application development
AI Product Engineer | Generative AI | Software Engineering
Dr Ganesh works on AI application engineering, generative AI, LLM applications, RAG systems, AI agents, backend APIs, knowledge systems, AI-powered developer tools, product engineering and software architecture.
The approach is simple: don't learn AI only as a subject — learn how to build with it.
Basic programming knowledge helps, but you do not need any prior AI experience.
Yes — the session is designed primarily for students and early-career developers.
Yes, especially early-career developers. If you have several years of experience, the 'Software Engineer to AI Product Engineer' session will suit you better.
Not to attend. Understanding basic programming concepts matters more at this stage.
Yes, completely free.
Yes.
The webinar is an orientation session, so no certificate. The 3-day bootcamp does include a verifiable certificate.
No webinar can do that. What it can do is show you what to build so that you have something worth discussing in an interview.
Live on a date announced soon. Seats are kept small for live Q&A.