{{communityTitle}} Event

Event title

Host title

Hi {{businessName}},
I'm interested in {{productName}}{{variantDetail}}
Could you share more details?

Search by post title

Title

You can’t access its content or products at the moment.

MENA's largest AI & Data community. 100% free to join 🌍 Join 15,100+ learners, professionals and founders — and get instant access to over $1,000 in AI ebooks, courses and resources, completely free. 🎁 What's inside — yours free:✅ Bestselling ebooks — Future-Proof Careers in AI, Prompt Engineering, GenAI for Cybersecurity & Fintech, The Art of Data Cleaning✅ Starter packs — Essential Python, SQL & Machine Learning documents + ready-to-use datasets✅ Career kit — LinkedIn checklist, resume templates & "How to Get an AI & Data Job"✅ Live weekly events, workshops & replays✅ Exclusive WhatsApp community + 195K+ network 🎓 Led by Mohammad Arshad — 21 years in data & AI, 150+ events hosted, CPD-accredited. 👉 Come for the content. Stay for the community.Tap Join — $1,000+ of value, free, in 30 seconds 🚀

MENA's largest AI & Data community. 100% free to join 🌍Join 15,100+ learners, professionals and founders — and get instant access to over $1,000 in AI ebooks, courses and resources, completely free.🎁 What's inside — yours free: ✅ Bestselling ebooks — Future-Proof Careers in AI, Prompt Engineering, GenAI for Cybersecurity & Fintech, The Art of Data Cleaning ✅ Starter packs — Essential Python, SQL & Machine Learning documents + ready-to-use datasets ✅ Career kit — LinkedIn checklist, resume templates & "How to Get an AI & Data Job" ✅ Live weekly events, workshops & replays ✅ Exclusive WhatsApp community + 195K+ network🎓 Led by Mohammad Arshad — 21 years in data & AI, 150+ events hosted, CPD-accredited.👉 Come for the content. Stay for the community. Tap Join — $1,000+ of value, free, in 30 seconds 🚀

Decoding Data Science

whatsapp

LinkedIn

Instagram

TikTok

YouTube

Facebook

AI Accelerator Bootcamp CPD

Artificial Intelligence

Your central learning and implementation space for the CPD UK Certified AI Accelerator Bootcamp.Access structured Day 0, Day 1, Day 2 and Day 3 + Bonus session recordings, essential project templates, technical resources, demo preparation guides, submission checklists and practical support materials—all organised in one place.Use this hub to revisit key concepts, complete your AI application, prepare your final demonstration and progress confidently from AI idea to working solution.

Watch Before you Start

Earl Nightingale’s timeless message is built around one powerful idea: **we become what we consistently think about.**

Watch this video before starting your learning journey or planning your next 30 days. Use it to define one clear goal for your skills, project, career or personal growth.

Write your goal down, review it daily and take consistent action toward it.

Return to this video whenever you feel distracted, uncertain or disconnected from your direction. Rewatch it at the beginning of every new 30-day cycle as a mindset reset.

The Strangest Secret: Your 30-Day Vision

Welcome

Day 0 From Idea to Working AI Application

Day#1 of 3 AI Product Thinking, and RAG Foundations

Day#2 of 3 Masterclasses: RAG Pipeline Engineering with LlamaIndex & Pinecone

#3 From RAG to Real AI Systems: Integration, Evaluation & Deployment

Recording of Aug 2026 Bootcamp

23rd July Quick recap
The session was a masterclass and Day 0 of a DDS bootcamp focused on moving from AI user to AI builder. Mohammad shared his background and presented industry data on AI adoption, skills gaps, and the value of building AI applications. He explained the 6-layer AI application stack using an HR Enterprise Chatbot as an example, covering problem definition, data, intelligence, workflow, interface, and evaluation. The session included polls, a Slido Q&A, and a Kahoot quiz with giveaways. Mohammad discussed the importance of Python, the difference between code-first and no-code paths, and the role of citizen developers. He outlined the bootcamp structure, CPE framework, and the CPD UK certification. The session also covered scholarships, registration details, and community engagement via WhatsApp and LinkedIn.

Next steps
Mohammad
Share the recording of the bootcamp session from tomorrow by the end of the night.
Share the recording of the last bootcamp with Barry.
Announce the winner of the Kahoot quiz and provide the LinkedIn Visibility OS course access to the winner.
Provide the scholarship code (DEMO40) for the bootcamp to the first 3 eligible applicants who apply before 12 o'clock tonight.
Share the direct WhatsApp group link with attendees who stayed till the end.
Collaboration
Attendees interested in the scholarship: Apply for the bootcamp using the code DEMO40 before 12 o'clock tonight.
Attendees who won the Kahoot quiz: Send an email to connect@decodingdatascience.com with their LinkedIn post and links to claim the course access.
Bootcamp participants: Complete Day 0 tasks and fill the AI use case canvas for the DDS HR Enterprise Chatbot project.
Bootcamp participants: Join the WhatsApp group for challenge participants and the general community.
Interested attendees: Register for the bootcamp before the end of the day to take advantage of the early bird price.
Summary
Data Science Masterclass Overview
Mohammad conducted a masterclass session for Decoding Data Science, addressing a global audience including both new and experienced community members. The session revealed that 62% of participants were new to the community and 74% had not built an AI application before, indicating a need for beginner-friendly content. Mohammad provided his background as a 21-year veteran in the field and outlined plans for a four-day bootcamp, promising that by the end, all participants would be able to build an AI application.

AI Implementation and Skills Gap
Mohammad led an interactive session focused on the journey of turning AI ideas into working applications, emphasizing the importance of Python skills and practical AI implementation rather than just using tools like ChatGPT. He highlighted a significant gap where only 6% of organizations capture significant enterprise value from AI, despite widespread adoption, citing a projected $5.5 trillion loss due to the AI skills shortage. Mohammad announced upcoming giveaways including LinkedIn Visibility OS and Python certification courses, and encouraged active participation through Kahoot quizzes and Q&A using Slido.

AI Skills Gap in Workforce
Mohammad presented data on the skills gap in the workforce, highlighting that 46% of leaders identify insufficient worker skills as their primary barrier, while only 26% of workers have received AI training. He discussed how AI and Agentic AI skills are becoming increasingly valuable, with a 62% wage premium for workers with AI skills and a 280% increase in job postings mentioning Agentic AI skills. Mohammad emphasized the importance of investing in AI skills for career development, noting that by 2030, 78 million new jobs will be created despite 92 million jobs being displaced.

AI Builder Transition Bootcamp Planning
Mohammad conducted a poll to categorize participants as either AI builders (category A) or those with AI ideas but no implementation (category B), finding a mix of both groups among the 150 attendees. He emphasized the importance of transitioning from being AI users to AI builders, explaining that while knowledge is important, applied knowledge through building and shipping projects is essential for career growth in the AI era. Mohammad stressed that the goal of the upcoming four-day bootcamp is to help participants shift from being passive AI consumers to active builders who can create end-to-end workflows and solve real business problems.

Overcoming AI Learning Barriers
Mohammad conducted a session about overcoming barriers to AI learning and project development, asking participants to identify what stops them when an idea hits them. The majority selected "I don't know enough yet" as their primary obstacle, followed by "I never find time" and "I don't know where to start." Mohammad emphasized that financial constraints should no longer be an excuse, as free tools and open-source options are available, and he introduced a six-layer AI application stack framework to help participants transition from AI users to builders. The session included interactive questions via Slido, with Mohammad planning to continue with the six-layer architecture discussion after addressing participant questions.

AI Bootcamp Overview Presentation
Mohammad presented an upcoming AI bootcamp starting the next day at 6:30 p.m., explaining it follows a CPE framework (clarity, prototype, and evidence) and aims to have participants deploy an end-to-end project by Sunday. He discussed the importance of building portfolios with real projects rather than just seeking traditional 9-5 jobs, and announced that seats are limited with registration open until the end of the session. Mohammad provided an overview of the HR Enterprise Chatbot project as the example use case for the bootcamp, explaining the problem it solves regarding HR managers being overwhelmed with repetitive questions from employees.

AI Chatbot for HR Enterprises
Mohammad led a comprehensive discussion on building an AI chatbot for HR enterprises, breaking down the project into six key layers: problem and use case, data layer, intelligence layer, workflow layer, interface layer, and evaluation layer. He explained the importance of defining clear success metrics, using the example of reducing HR response time from 5 hours to 30 minutes. Mohammad emphasized the distinction between code-first and no-code approaches to AI development, advocating for a deeper understanding of underlying concepts even when using no-code tools. He announced a 3-day bootcamp starting the next day, offering CPD UK certification and a scholarship opportunity for eligible participants.

Limited-Time Scholarship Announcement
Mohammad announced a limited-time scholarship opportunity using code DEMO40 for the first 3 participants to join a bootcamp, valid until 12 o'clock that night. He instructed winners to send an email to connect@decodingdatascience.com with their LinkedIn post about the Kahoot win to receive coupon codes. Mohammad encouraged participants to join the WhatsApp group and register for upcoming bootcamp sessions, explaining that Friday sessions run from 6:30-8:30 PM Dubai time, while Saturday and Sunday sessions are at 11 AM and 2 PM respectively.

Day 0 bootcamp

24 July Quick recap
Mohammad Arshad welcomed participants to the fifth edition of DDS Academy's Bootcamp, outlining house rules and introducing the Enterprise HR Policy Chatbot project that all attendees would build using a code-first approach. During the session, participants introduced themselves and shared their backgrounds and expectations for the bootcamp, with some noting they had previously attended similar sessions. Mohammad explained the three tracks available - learning only, CPD certification, and challenge participation - with the challenge offering prizes including a JetBrains license and Chief AI course scholarship. The group discussed the project's purpose, identifying that the chatbot would help employees access the latest HR policy information while freeing up HR time, and explored the importance of connecting the AI system to accurate, up-to-date document sources rather than relying solely on large language models like ChatGPT.

Next steps
Aditi
Troubleshoot screen-sharing issue with Zoom and test OpenAI Playground functionality after adding credits.
Mohammad
Upload the session recording and updated resources (including PDFs and slides) to the Bootcamp Hub by midnight or tomorrow morning.
Add a submission field in Day 1 for the updated idea template.
Collaboration
All participants: Fill out the AI use case template for the DDS HR Enterprise Chatbot project based on today's session and submit it in Day 1.
All participants: Download and review the HR policy data provided in the GitHub repository and Day 1 resources.
All participants: Experiment with different OpenAI models (e.g., GPT-5.4 Mini, Nano) in the OpenAI Playground to select the most cost-effective and suitable model for the project.
All participants: Add at least $5 credit to their OpenAI account to enable API key and Playground functionality.
All participants: Join the next live session on Saturday at 11:00 AM (as per the link shared in the WhatsApp group).
All participants (optional): Participate in the challenge by submitting Day 0, Day 1, and Day 2 updates and sharing progress on social media or private community.
Summary
Enterprise HR Policy Chatbot Bootcamp
Mohammad welcomed participants to the fifth edition of Bootcamp and outlined the session's ground rules, including keeping cameras on, using the chat for questions, and following a two-hour format. He explained that the session would focus on an Enterprise HR Policy Chatbot Project, which was previously completed for a Abu Dhabi semi-government company, and emphasized that the workshop was designed to cater to both beginners and those with existing knowledge. Mohammad introduced the concept of a cohort system, where all participants would be part of the fifth cohort of DDS Academy, and encouraged participants to introduce themselves to build camaraderie in the learning group.

AI Bootcamp Participant Introductions
The meeting was an introduction session for an AI bootcamp challenge where participants shared their backgrounds and motivations for joining. Kuldeep from India introduced himself as an experienced data quality professional seeking to learn AI development, while Murtaza from Dubai shared his 15-year healthcare experience and previous AI residency background. Aditi from Pune described her transition from teaching and software engineering to management, expressing interest in developing AI applications. Venkata from Dubai explained his role as a data architect looking to understand AI models better, while Ajoy from the US shared his journey starting with the bootcamp after losing his job, and expressed interest in potentially becoming an entrepreneur. Nipun from Abu Dhabi introduced himself as a mechanical engineer with 8 years of experience in AI automation projects. Mohammad emphasized the importance of networking and learning from each other in the cohort.

Education Bootcamp Planning Discussion
Mohammad and Ajoy discussed the importance of investing in education and highlighted the presence of talented individuals in the community, including Nipun, Aditya, Maitha, Sameer, and Nevin. Mohammad explained the three tracks for the bootcamp: learning, CPD certification, and a challenge component, emphasizing the benefits of obtaining a CPD certificate and participating in the challenge for additional opportunities like a JetBrains license and a Chief AI course scholarship. The group was informed that they would work on a specific project, the DDS HR Enterprise Chatbot, using a code-first approach, with a deadline set for Sunday evening. Participants were encouraged to replicate the project to earn their CPD certificate and consider participating in future challenges.

Enterprise HR Policy Chatbot Planning
Mohammad led a discussion on building an Enterprise HR Policy Chatbot, emphasizing the importance of understanding user needs, problem statements, and project inputs. He clarified that the primary users are internal employees and HR, with the main problem being repetitive HR queries that can be addressed through the chatbot, potentially freeing up HR time for more strategic tasks. Kuldeep suggested that HR could use the chatbot to test its accuracy and relevance, while Mohammad highlighted the role of HR as the domain expert in collaboration with AI engineers. The session outlined upcoming activities, including product thinking, foundations, and technical implementation using specific tools like OpenAI, Pinecone, and LlamaIndex.

HR Chatbot Data Management Strategy
Mohammad discussed the importance of proper data management for building an effective HR enterprise chatbot, using a real example of a project where conflicting and outdated documents caused issues. He emphasized the need to focus on the latest HR policy information and identified the HR department as the domain expert responsible for maintaining and updating relevant documents. The group clarified the project's scope: building a DDS HR enterprise chatbot for employees to get the latest HR policy information, with a focus on simplicity and efficiency. Mohammad also explained why using large language models (LLMs) alone, like ChatGPT, would not suffice for this project without connecting them to the appropriate data sources.

HR Chatbot Implementation Guidelines
Mohammad clarified that while the HR enterprise chatbot already uses a large language model, it should only answer HR-related questions and connect to internal data sources rather than providing general information that could be inaccurate. He emphasized that the system should politely decline answering unknown questions and direct users to HR for official information. Mohammad outlined three success metrics for the project: increased employee satisfaction, potential cost savings of up to 240,000 dirhams annually, and measuring usage and feedback from employees. He instructed the team to complete the Day 0 template with project details and download the provided data, with additional resources available through a shared link.

AI Template and LLM Selection
Mohammad clarified that for the Day 0 submission, Aditi only needs to upload the updated AI use case template, which can be resubmitted if improvements are made after the session. He announced that he will add a new "Share Updated Idea" template in Day 1 for participants to submit their improved concepts. The discussion then shifted to selecting the appropriate LLM for the project, with Mohammad explaining the reasoning behind choosing OpenAI models over free alternatives like Gemini due to stability and pricing considerations. He emphasized the importance of documenting the LLM selection process and noted that most participants would not need to use the expensive GPT 5.5 Pro model for their HR enterprise chatbot project.

OpenAI Model Configuration Demonstration
Mohammad explained the rationale behind using OpenAI models over open source alternatives, highlighting cost considerations and infrastructure requirements. He demonstrated how to configure models using OpenAI Playground, recommending starting with the 5.4 Mini model as a middle ground option. The team discussed key configuration parameters including reasoning effort, verbosity, and system prompts, with Mohammad showing how to use the playground's prompt generation feature to automatically create professional-looking system prompts with examples and formatting.

OpenAI Playground Demonstration and Experiment
Mohammad demonstrated how to use OpenAI's playground and explained the token system, showing that a simple question took 44.7 seconds with 633 input tokens and 216 output tokens. He instructed the team to experiment with different LLM models by comparing performance, cost, and reasoning effort, emphasizing the importance of documenting their findings in a notebook. The team was scheduled to meet the next day at 11 o'clock to share their experiences and learning from the playground experiments.

Bootcamp Next Steps and Resources
Mohammad explained the next steps for the bootcamp participants, including downloading the idea template for Day Zero and experimenting with different LLM models for the HR Enterprise project, focusing on metrics like token consumption and response time rather than accuracy. He announced that all resources and recordings would be centralized in a new Bootcamp Hub, with only the latest content being updated monthly. The team discussed technical issues with screen sharing and payment processing, with Mohammad advising Aditi to refresh her account and try again the next day.

AI Accelerator Bootcamp Resource Hub

Description

By purchasing this, you also unlock