What happens when an AI agent needs to answer a real enterprise question using both technical documentation and operational data?
In this live masterclass, we’ll build and explain a completely synthetic plant scenario using:
DDS-001 technical documentation + PlantPulse_360 operational data
Rather than simply asking questions from a PDF, we’ll simulate how an AI agent can decide:
- when to search technical documentation
- when to query structured plant data
- when both sources are required
- how to combine evidence from multiple systems
- how tools, reasoning, memory, and workflows work together
- when a human should remain in the decision loop
We’ll walk through a practical scenario such as an abnormal asset condition and follow the complete flow:
Question → Reason → Plan → Retrieve Documentation → Query PlantPulse_360 → Compare Evidence → Evaluate → Recommend / Take Action
The session brings together:
RAG + Structured Data + SQL + Reasoning + Tools + Memory + Agentic Workflows
You’ll also see what happens when information is missing, outdated, or conflicting — an important part of building AI systems that can be trusted in enterprise environments.
This is not a generic ChatGPT demonstration.
The goal is to help you understand how an AI application decides where to look, what information to trust, and what it should do next.
All assets, documents, data, and scenarios used in this session are completely synthetic and created specifically for learning and demonstration purposes.
Sunday, 27 September 2026
12:00–2:00 PM GST | Online
Free 2-Hour Live Masterclass
Includes:
Live Agentic AI simulation
Enterprise AI architecture walkthrough
2 CPD Hours
Certificate of Participation
Live Q&A
Kahoot quiz & giveaway — win up to $1,000
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
***
## 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.
***
## 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.
***
## 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
***
## 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.
***
## 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.
***
## 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
***
# Want to Go Beyond the Masterclass?
The free masterclass gives you clarity, demonstrations, and a practical blueprint.
For participants who want to build an application themselves, the next step is the CPD-Accredited AI Accelerator Bootcamp.
## AI Accelerator Bootcamp
### Move From AI-Curious to AI Builder
This is a guided, hands-on programme designed to help you move from an initial idea to a working AI application.
You will learn how to:
- Select a valuable AI use case
- Convert the use case into an application architecture
- Work with large language models and APIs
- Build retrieval-augmented generation applications
- Connect AI applications to tools and data
- Create Agentic AI workflows
- Evaluate the quality and reliability of your application
- Build a practical user interface
- Deploy and demonstrate your project
- Present your work professionally
***
## See What Participants Build
Participants do not simply watch tutorials. They work through a structured build process, develop practical AI applications, and prepare their projects for demonstration.
Use a screenshot showing:
- The learning dashboard or daily programme
- Live session recordings
- Project templates and technical resources
- Participant applications
- Demo Day presentations
- CPD certification
- Community support and feedback
