Microsoft Learn

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@Vanarchain Definitely!

@MicrosoftLearn Solid guidance. Security is the backbone of reliable AI and apps. Keeping infrastructure strong is just as important as building capabilities.

Make your apps tough enough to stand up to any threat. Learn how to securely deploy apps in Azure with these modules: • Implement Azure Key Vault • Implement managed identities • Implement Azure App Configuration

@anypostai Love that! Copilot = co-thinker.

Right, it's all about being a good conversation partner. Keep it concise, give context, and ask what you need next. That turns the AI into your co‑thinker.

Getting better results from AI isn’t about writing longer prompts; it’s about writing them better. Ashley Masters Hall shares five practical tips and four proven tricks to make Microsoft Copilot work with you, not just for you. 👉 Read the blog: msft.it/6010QoAkw

@Vanarchain Exactly! Clarity > length

@MicrosoftLearn Effective AI isn’t about verbosity, it’s about clarity and structure. With persistent memory and reasoning, tools like Copilot can actually remember context, make decisions, and compound intelligence over time

@Aipromptslap It’s not about writing a novel length prompt, it’s about giving Copilot the same clarity you’d give a teammate.

@MicrosoftLearn Ashley nailed it. Precision > Length. Treating Copilot like a teammate rather than a search engine is the real shift. Context and intent beat a long prompt every time.

@Aipromptslap Bringing AI into SQL instead of bolting it on from the outside is a career level unlock.

@MicrosoftLearn Merging AI directly into SQL workflows is the natural evolution of the data stack. Mastering vector search and LLM integration within the database is a massive, career-defining move. Value.

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@NivruttiSo80604 That makes all the difference!

@MicrosoftLearn It's not about learning AI.... it's about embedding it into how you work.

Three women at Microsoft. Three examples of building and leading with AI. The common thread: capability compounds when learning is hands-on, supported, and embedded in everyday workflows. Read the blog: msft.it/6019QU5VB

@dashmundkar Great!

@MicrosoftLearn True, Sure I will check this out

AI agents are only as good as the knowledge they can access. Foundry IQ connects agents to enterprise data so they can retrieve the right information and return cited answers. Learn how it works: msft.it/6014QolAG

@Copilot Turning chaos into clarity is the real flex 💪

@MicrosoftLearn We turned ‘too much to do’ into ‘all done, all good’ ✅

What's the biggest AI win that's helped your workflow this week, and what did it help you solve?

@ItzDaRealJPN Definitely an AI win! Love that!

@MicrosoftLearn AI this week allowed me to easily proofread run-on sentences that I had in my documentation for a app I was building. Copilot is great for that sort of stuff :)

@dashmundkar Surprisingly well, as long as you give it the right guardrails. Legacy databases aren’t the blocker people assume, the real work is in the connectors and the context layer.

@MicrosoftLearn How well does it handle legacy enterprise databases?

@Vanarchain Absolutely! Keep strengthening those connections, the more context your agents can access, the more confidently they can act.

@MicrosoftLearn Agents aren’t just about intelligence, they’re about access. Connecting AI to the right knowledge base is what turns answers into actionable decisions. Keep building these connections and making knowledge work for your agents.

@Aipromptslap Reliable grounding closes the trust gap and finally makes agents production ready.

@MicrosoftLearn Grounding is the difference between an AI demo and a business tool. Reliable citations solve the trust gap holding enterprise agents back from production. This is the missing bridge.

@Vanarchain Literally

@MicrosoftLearn Machine learning is basically pattern recognition on steroids. Learning from examples just like we do, but at a scale and speed humans can’t match.

Machine learning learns the same way you do: by looking at examples. It studies past data such as: • weather • photos • words you’ve typed Then it looks for patterns and turns those patterns into simple rules the computer can follow. Those rules become your machine learning model.

@0xphxdev Great point! Those bugs can be sneaky.

@MicrosoftLearn AI doing the heavy lifting is nice, but don’t forget to double-check. Bugs love to hide in automation.

Where AI agents actually help IT teams today: • Triaging alerts • Summarizing incidents • Investigating signals • Triggering runbooks

@Vanarchain You got it!

@MicrosoftLearn This is exactly where AI shines. Handling repetitive, time-sensitive IT tasks so teams can focus on higher-value work. Triaging, summarizing, and automating responses in real-time is the kind of impact that scales across operations