MENA AI and Data Community

This talk shares my journey from learning AI concepts to building and shipping real-world AI products across different domains. Through practical examples, I will demonstrate how I moved beyond experimentation and prototypes to create usable applications involving AI agents, retrieval, automation, marketing, project management, and industry-specific intelligence. The session will highlight selected products I have built, the problems they were designed to solve, the tools and approaches used, what worked, what failed, and the lessons learned along the way. The objective is to show that becoming an AI builder is not about mastering every technology first—it is about identifying meaningful problems, combining domain expertise with AI capabilities, iterating quickly, and continuously learning by building.

- Start with the problem, not the technology — strong AI products come from solving a clear real-world need, not from adding AI for its own sake.
- Build to learn — the fastest way to understand AI is by creating, testing, failing, iterating, and shipping real products.
- Domain expertise is a competitive advantage — combining industry knowledge with AI tools, agents, retrieval, and automation can create far more valuable solutions than technology alone

Win upto $1000 in Kahoot quiz and Giveaways

Syed Ali Hasan is a project management and AI practitioner with 30+ years of experience across major capital projects in the GCC. He is the Founder of CronosPMC and builds practical AI products that bridge industry expertise with emerging technologies. His recent work includes Causa-Claims, an agentic AI platform for construction claims that won the OpenAI × Outskill AI Builders Hackathon, along with several AI applications spanning project management, marketing, knowledge retrieval and intelligent agents. He actively shares his learnings with the AI community and advocates moving from AI experimentation to building real, usable products.

MC08: LlamaIndex: Retrieval-Augmented Generation (RAG)

Explore how LlamaIndex enables the development of powerful Retrieval-Augmented Generation (RAG) applications by connecting large language models with external data and knowledge sources.

In this session, participants will learn the fundamentals of RAG, understand how LlamaIndex manages and retrieves relevant information, and build practical workflows that improve the accuracy and relevance of LLM-generated responses.

Key topics include data ingestion, indexing

Free 2-Hour Live Masterclass

Learn how modern AI agents reason, plan, use tools, access data, and complete real-world tasks—through a practical session where applications are built and explained live.

Usually valued at $149 — free for this Sunday’s session.

Win upto $1000 in giveaway and Kahoot

Limited seats · No coding experience required · Live participation required

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## AI Agents Are Moving Beyond Experiments

AI agents are no longer just impressive demonstrations.
They can research information, use APIs, interact with databases, automate workflows, make decisions, and complete multi-step tasks with limited human intervention.
The professionals who understand how to design and build these systems are positioning themselves for some of the most valuable opportunities emerging across technology, business, consulting, and entrepreneurship.
This masterclass gives you a practical starting point.
It is not a recorded webinar.

It is not a generic introduction to ChatGPT.

It is not a sales presentation disguised as training.
You will see working AI agents demonstrated live, understand the architecture behind them, ask questions in real time, and leave with a clear blueprint for turning an AI idea into a working application.

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## What You Will Learn

### Understand Agentic AI

Learn how AI agents combine reasoning, planning, memory, tools, data, and workflows to complete tasks.

### See Real Applications Built Live

Watch practical demonstrations of agents that can search, retrieve information, call tools, process data, and automate actions.

### Learn the Builder Framework

Understand how practitioners move from a business problem to a use case, architecture, working prototype, evaluation, and deployment.

### Identify Real Opportunities

Explore where Agentic AI is creating career, consulting, automation, product, and business opportunities.

### Create Your Next-Step Blueprint

Leave with a clearer understanding of what to learn, what to build, and how to turn your idea into a practical AI application.

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## What You Receive

By attending the live session, you receive:

• 2 internationally recognised CPD hours
• Certificate of participation from a CPD Approved Training Provider
• Live Agentic AI demonstrations
• Practical frameworks and reference resources
• Live Q&A with an experienced AI practitioner
• Guidance on projects, skills, careers, and business opportunities
• A structured pathway for continuing into practical AI application development

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## This Masterclass Is For You If You Are:

• A working professional looking to apply AI in your organisation
• A developer, analyst, data professional, or technology practitioner
• A career switcher looking for practical and relevant AI skills
• A business owner exploring AI automation and new services
• A consultant who wants to develop AI solutions for clients
• A beginner who needs a structured starting point
• Someone with an AI idea but no clear path for building it

No previous Agentic AI or coding experience is required.

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## Your Live Instructor

### Mohammad Arshad

Mohammad Arshad has more than 21 years of experience across data, analytics, artificial intelligence, and technology leadership.
He is the founder of Decoding Data Science and has delivered sessions at platforms and events including LEAP, GITEX, and the Global AI Show.
His teaching approach focuses on practical implementation: understanding the business problem, building working applications, evaluating their performance, and preparing them for real-world use.

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## Hosted by Decoding Data Science

Decoding Data Science is a CPD Approved Training Provider supporting professionals, learners, developers, and organisations in building practical AI and data capabilities.

• 194,000+ community members
• Members across 50+ countries
• 1,000+ events and learning sessions hosted
• Practical AI workshops, challenges, bootcamps, and implementation programmes
• A global ecosystem of learners, builders, mentors, and industry professionals