Welcome to Trinity AI Academy 🧠
We cover everything from how LLMs actually work, to building AI agents, to the mindset shift that separates people who use AI from people who leverage it.
This channel is built by Sahil Garg — Founder of TrinityCorps, a Noida-based enterprise AI enablement company that works with teams to build real, production-grade AI capability. Not slideware. Not recorded lectures. The actual thing.
Through TrinityCorps Academy, we're on a mission to build a new kind of professional — the Solution AI Engineer. Someone who doesn't just operate AI tools but thinks in problems, data, and outcomes.
If you're a fresher trying to break in, a working professional trying to stay relevant, or someone who's just genuinely curious about where this is all going — you're in the right place.
🔗 Connect with Sahil on LinkedIn:
www.linkedin.com/in/sahilgarg510
🌐 Learn more about TrinityAcademy:
trinitycorps.org/academy
New video every day. 🔔
TrinityAcademyAI
Day 20/90 #AINativeWorkChallenge Most people learn Pivot Tables by memorizing clicks.
That's the wrong approach.
In this video, you'll understand the real idea behind Pivot Tables: **aggregation**.
We cover:
✔ What aggregation actually means
✔ Grouping data by categories
✔ SUM, COUNT and AVERAGE
✔ Building a Pivot Table step by step
✔ Turning 10,000 rows into meaningful insights
✔ Common mistakes beginners make
Whether you're preparing for data analytics, Excel interviews, Power BI, or AI Engineering, this is a foundational skill you shouldn't skip.
Subscribe for the complete AI-Native Work Challenge.
#Excel #PivotTable #DataAnalytics #BusinessAnalytics #ExcelTutorial #AIChallenge #TrinityAcademy #TrinityCorps
1 month ago | [YT] | 0
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TrinityAcademyAI
🚀 Day 17 of the 90 Days of AI Solution Engineering Challenge
Learning AI isn't about watching videos.
It's about being able to answer questions when it matters.
Here's a quick self-assessment based on the last 5 days of the challenge.
No cheating. No Google.
See how many you can answer confidently. 👇
📌 Topic 1: Prompting Pitfalls & Pattern Library
1️⃣ What is an AI hallucination, and why can it be dangerous in business applications?
2️⃣ Why do vague prompts usually produce vague or inconsistent responses? Give one example.
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📌 Topic 2: What Data Really Is
3️⃣ What's the difference between a row and a column in a dataset?
4️⃣ Explain the difference between structured, semi-structured, and unstructured data with one example of each.
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📌 Topic 3: The Analyst Mindset
5️⃣ Before analyzing data, what's the first question every analyst should ask?
6️⃣ What's the difference between a metric and just a number? Explain with an example.
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📌 Topic 4: Structured vs Unstructured Data & Correlation vs Causation
7️⃣ Why is unstructured data harder to analyze than structured data?
8️⃣ Ice cream sales and drowning incidents increase together during summer.
Does that mean one causes the other? Explain why or why not.
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📌 Topic 5: Spreadsheets as a Thinking Tool
9️⃣ What is the difference between VLOOKUP and XLOOKUP?
🔟 When is Excel enough, and when should you move to databases or other data tools?
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💡 If you can confidently answer at least 8 out of 10, you're building a solid foundation in AI Solution Engineering.
If not, don't worry—that's exactly why we're doing this challenge.
We'll continue building one concept at a time.
💬 Comment your score out of 10. I'd love to know how you're doing!
Follow the challenge for daily AI learning.
#90DaysOfAISolutionEngineering #ArtificialIntelligence #AIEngineering #DataAnalytics #DataScience #Excel #PromptEngineering #MachineLearning #FutureOfWork #LearningInPublic #TrinityCorps
1 month ago (edited) | [YT] | 0
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