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4 contributions to School of AI
Feb 25 •
14 Days to Building AI Systems & Agents
TLDR: Enroll Today for a special discount - https://maven.com/the-school-of-ai/days-to-building-ai-systems-agents?promoCode=NINENINENINE ——————————— Want to stop just “using AI” and start building real AI systems? Most people today know how to prompt ChatGPT — but very few understand how modern AI apps actually work under the hood. The real value is in engineering end-to-end solutions that solve real problems, not just generating text. That’s exactly what this course is designed to help you do. —————————————— 14 Days to Building AI Systems & Agents This hands-on, portfolio-driven program teaches you how to design, build, deploy, and launch real AI-powered applications — including systems with memory, reasoning, tool execution, and agents that can take action. You’ll learn how modern AI development actually works, beyond prompts and demos. What You’ll Learn - AI System Architecture: Map real-world problems into structured AI solutions — with UI, backend, workflows, and data handling. - LLM API Integration: Call and tune LLMs using Python and handle outputs reliably. - Prompt Engineering & Structured Outputs: Force structured JSON responses and validate them in code. - RAG & Memory: Build retrieval-augmented systems and persistent session memory into your apps. - AI Agents: Construct agents that can execute tasks, use tools, and automate workflows. - Deployment & Portfolio Projects: Launch your app live, write professional documentation, and create a demo that shows real results. Who This Is For This is ideal if you’re a: ✔ Developer who wants to go beyond simple scripting ✔ Engineer ready to integrate LLMs, memory, and automation ✔ Product manager or tech professional who wants to understand how real AI systems are built ✔ Career switcher building a serious AI portfolio Why This Matters AI isn’t just about prompts — it’s about systems. This course fills the gap that so many other programs overlook: structure, integration, deployment, and real results. By the end of 14 days, you’ll ship your own live AI application and have a showcase project you can share with employers or clients.
1 like • Feb 26
Can I catch up on the class from the recording if I miss it?
Jan 19 •
Question of the day - Jan 19 2026
Which matters more in a real AI system: the model or the data—and why?
3 likes • Jan 19
In a real-world AI system, data is generally considered more important than the model. Here is why: Garbage In, Garbage Out (GIGO): Even the most sophisticated neural network architecture will produce poor results if it is fed biased, noisy, or low-quality data. The intelligence of the system is a direct reflection of the information it consumes. Data-Centric AI: This paradigm suggests that instead of constantly tweaking code and hyperparameters, focus should be on improving the consistency and quality of the dataset. Often, a simple model with superior data outperforms a complex model with mediocre data. Competitive Advantage: High-quality model architectures are increasingly becoming commoditized and open-source. The true "moat" or advantage for any AI project lies in the proprietary, cleaned, and well-labeled data used to train it. Think of the model as the "brain" and the data as "education." A brilliant brain with no information cannot solve problems, but a standard brain with excellent education can achieve remarkable things.😉
Jan 6 •
Question of the Day: Jan 6th 2026
If you had to explain what you do with AI to a 5-year-old… what would you say?
1 like • Jan 6
@Vivian Aranha Haha, probably not 😄 I’d say: I talk to a smart robot friend who helps me build games and solve puzzles when I get stuck — like having a magical helper who always has ideas.
1 like • Jan 6
@Vivian Aranha Totally agree! 🚀 This generation is growing up with technology — while we learn it, they explore it. Just imagining what they’ll build in 20 years is exciting.
Jan 5 •
Question of the Day: Jan 5 2026
What’s one task you never want to do manually again because of AI? Make it funny please. Haha or try
2 likes • Jan 5
One task I never want to do manually again is debugging for hours… just to realize I forgot a semicolon. AI saving me from my own mistakes feels like having a very patient, non-judgmental senior developer 😄
2 likes • Jan 5
@Vivian Aranha Absolutely agree! 😄 AI has become my second brain — not just for debugging, but for asking “how can I make this cleaner, faster, or smarter?” It honestly feels like unlocking a new level every time you ask.
1-4 of 4
Active 10h ago
Joined Dec 29, 2025
Izmir
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