About us
#### Purpose of This Group:
The primary objective of MENA's Largest AI Community is to demystify the complex worlds of Data Science and Artificial Intelligence. We aim to create a collaborative platform where professionals, enthusiasts, and beginners can come together to learn, share, and innovate. Through regular meetups, we seek to offer insightful webinars, hands-on workshops, and invaluable networking opportunities.
#### Who Should Join:
- Beginners: If you're curious about stepping into the realm of AI and Data Science, this is your starting point.
- Professionals: Data scientists, AI engineers, and other tech professionals can find a space to share their expertise and challenges.
- Academicians: Researchers, professors, and students will find this group useful for staying updated with the latest trends and technologies.
- Business Leaders: Entrepreneurs and decision-makers can gain actionable insights for leveraging AI and Data Science in their businesses.
#### Why You Should Join:
- Learn: Get exposed to the latest trends, tools, and technologies in AI and Data Science.
- Network: Connect with like-minded individuals, potential collaborators, and industry experts.
- Collaborate: Engage in community projects and hackathons to apply your skills and solve real-world problems.
Join us to be part of a community that is dedicated to making Data Science and Artificial Intelligence accessible and understandable for all.
Join for the Content, Stay for the community
www.nas.io/artificialintelligence
4600+ Members
Organizer's Linkedin
49K+ Followers
Upcoming events
20
AI Accelerator Bootcamp : AI Curious to AI Builders May
·OnlineOnlineAI Accelerator Bootcamp: From AI Curious to AI Builder
📅 May 29 – June 1, 2026
👉 Register here: https://nas.com/artificialintelligence/challenges/ai-accelerator-bootcamp-ai-curious-to-ai-builders-copy/homeReady to move beyond learning AI and start building with it?
The AI Accelerator Bootcamp is a high-impact, hands-on program designed to help you transform from an AI enthusiast into an AI builder. In just 3 live sessions (6 intensive hours), you’ll learn how to design, build, and launch your own end-to-end AI application.By the end of this bootcamp, you will:
✔️ Build a functional AI application from scratch
✔️ Understand the architecture of end-to-end AI products
✔️ Gain practical, real-world implementation experience
✔️ Leave with a portfolio-ready project you can demo, refine, and scale⚡ Early Bird Offer Available Now
Secure your spot at the special earlybird rate before the fee increases soon.If you’re ready to stop just exploring AI and start creating with it, this bootcamp is for you.
4 attendees
#1 AI Product Thinking, and RAG Foundations
·OnlineOnlineAI Product Thinking & RAG Foundations
Part 1 of 3: The Clarity Phase📅 May 29, Friday
⏰ 6:30 PM
📍https://nas.com/artificialintelligence/events/1-ai-product-thinking-and-rag-foundations-1779876763957Most people start with:
“Let’s build a chatbot.”
But real AI builders start with:
✔️ What problem are we solving?
✔️ Who are the users?
✔️ What data do we need?
✔️ Do we need RAG?
✔️ What should the architecture look like?In this FREE masterclass, you will learn how to think like an AI Product Builder — not just a prompt user.
What You’ll Learn:
• AI Product Thinking
• RAG Foundations
• Enterprise AI Architecture
• Choosing the Right LLM
• Data & Document Pipelines
• HR Chatbot Use Case BreakdownStart your AI journey with clarity before writing a single line of code.
3 attendees
MC08:Llama Index: Retrieveal Augmented Generation (RAG)
·OnlineOnlineMC08: LlamaIndex – Retrieval Augmented Generation (RAG)
AI becomes truly powerful when it can retrieve and understand your own data.
📅 May 30, Saturday
⏰ 4:30 PM GST
📌https://nas.com/artificialintelligence/events/mc08-c11That’s where RAG comes in. 🔥
In this hands-on masterclass, you’ll learn how to build intelligent AI applications using LlamaIndex and Retrieval Augmented Generation (RAG) — one of the most important concepts in modern AI development.💡 What You’ll Learn:
• How RAG works step-by-step
• Connecting LLMs with custom knowledge bases
• Indexing documents and external data
• Building context-aware AI applications
• Improving AI accuracy with real-time & domain-specific data
• Designing production-ready RAG systems using LlamaIndexBuild AI systems that don’t just generate answers — but retrieve the right knowledge intelligently.
Part of the AI Residency Program:
3 attendees
Past events
706
