Building a career in AI today is not about knowing more tools.
It’s about building the right skills, in the right order, and applying them through real projects.

In my upcoming Career Talk, I’ll focus on what actually matters if you want to grow in AI and Data Science in 2025 and beyond.

We’ll talk about:

• Why strong foundations still matter (Python, problem-solving, system thinking)
• How LLMs really work—and where their limits are
• When to use RAG (and when not to)
• What AI Agents are, the different types, and why most people overcomplicate them
• How applied learning and real projects accelerate your career more than certificates

I’ll also share how our applied learning challenge helps learners move from AI-curious to AI-builder by shipping something real—not just watching content.

This session is for:

• Students and early professionals feeling overwhelmed by AI
• Working professionals trying to reskill with clarity
• Anyone tired of random tutorials and looking for a structured path

If you’re serious about building skills—not just consuming content—this career talk will give you clarity.