These are real engineering skills

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Hello everyone,

A recent discussion here reminded me how valuable the knowledge in this community truly is. The concepts taught in courses like Agent Memory, Building Memory-Aware Agents, and Build and Train an LLM with JAX go far beyond what a generic AI assistant can produce. These are real engineering skills — and companies rely on people like you to apply them.

Engineers are not becoming obsolete. AI‑generated code still requires human understanding, review, and integration. That responsibility belongs to trained professionals .

:wrench:Prompting: A Skill That Saves Time and Effo rt

Years ago, I was already using AI to generate SQL. I didn’t even use real names — I simply described:

  • Table A, Table B

  • Fields A, B, C

  • The relationships

  • The output I wanted

With that prompt alone, the AI produced a correct query.
The same with Python: I described the logic I needed, and the AI generated a clean snippet I could paste directly into my project.

Prompting saved me hours of searching and thinking.
It’s a core skill in the GenAI era.

:brain:Yes — an AI assistant helped shape this message

Not to write it for me, but to help me:

  • organize my thoughts

  • structure the message

  • and express it clearly

AI amplifies us — it doesn’t replace us.

:books:Growing in Depth an d Breadth

To stay relevant, you must grow in:

  • Depth: architectures, agents, memory systems

  • Breadth: Data Analysis, Snowflake, modern cloud tools

I’m actively developing both. I’ve completed over twenty specializations , including:

  • Generative AI for Business Intelligence (B I) Analysts

  • Generative AI for Business Analysts

:rocket:Keep Learning — I t Will Pay Off

Keep building. Keep experimenting. Your skills will become extremely valuable — sooner than you think.

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