Wrapping up Workshop 1 in the @Decoding Data Science "AI Accelerator Bootcamp", we kicked off our project blueprint for the 'DDS HR Policy Chatbot' Agent. Before building the RAG pipeline, we mapped out the core foundations: The User & Problem: Solving employee friction in navigating dense HR handbooks and policy PDFs. The Stack: OpenAI embeddings & LLMs, LlamaIndex, Pinecone, and a Gradio interface. The Guardrail: Zero hallucinations. The bot must strictly answer from policy documents and clearly state when information isn't available. Always great to revisit foundational product thinking and refine the architecture before opening the code editor. Ready for the build phase! 💻 hashtag#Decoding Data Science hashtag#DDS Business Circle Mohammad Arshad hashtag#AIBuilders hashtag#RAG hashtag#DAY1 hashtag#GenerativeAI hashtag#LlamaIndex hashtag#HRChatbot hashtag#LLM hashtag#Python hashtag#Gradio hashtag#AIEngineering hashtag#OpenAI hashtag#ProductThinking hashtag#ContinuousLearning hashtag#BuildInPublic hashtag#Upskilling

✨ I recently completed the LinkedIn Visibility OS 2026 course by Decoding Data Science. Rather than treating LinkedIn like a static resume, the program helped me rethink how to position my work and build a focused professional presence. ● A few key takeaways that reshaped my approach: ► Clarity over buzzwords: Moving away from generic titles to clearly articulating core technical strengths in AI/ML, Agentic AI, and LLM systems. ► Proof of work: Shifting focus from passive experience listings to highlighting deployed projects, tools built, and real outcomes. ► Consistent visibility: Showing up intentionally, sharing technical learnings, and engaging meaningfully with the builder community. ◄► A big thank you to Mohammad Arshad and the Decoding Data Science team for putting together such an actionable, practical roadmap. 🚀 Excited to put these frameworks into practice and share more of what I’m building!🤖 DDS Business Circle #LinkedInGrowth #DataScience #AgenticAI #ArtificialIntelligence #MachineLearning #BuildInPublic #ContinuousLearning #DecodingDataScience #TechAiCommunity #CareerGrowth #GrowthMindset #RemoteWin #Upskilling

I recently attended Agentic AI Masterclass, hosted by Mohammad Arshad, Founder of Decoding Data Science (DDS). Attending the session gave me a deeper appreciation for how AI is progressing beyond chatbots and toward agentic models that can reason, plan, retrieve data, use tools, and perform multi-step activities. 🌟 Three Main Takeaways: 🔹 Start with the problem, not the model. Approach building an AI application by first identifying a real-world problem that needs solving. Clearly define the problem, the expected outcome, and where the AI can find trustworthy information. Let this guide you in choosing the right technology to actually build the solution. 🔹 Design the workflow, not just the prompt. Agents are more than just optimized prompts. They need an orchestrated loop of: understand task → plan → utilize tools/data → evaluate results → take next action → stop when done. 🔹 Evaluation, boundaries, and human-in-the-loop are important. The more you allow an agent to autonomously take actions, the more responsibility it has to perform them correctly. As you transition from a prototype to a real-world application, testing, monitoring, setting permission boundaries, ensuring access to reliable data, and human review are important to consider. What resonated with me the most from the entire session was seeing how I could apply these concepts to projects I’ve built in the past. While my Physics AI Chatbot started as a way to answer questions, I could adapt it to become an agentic learning tool. It could identify what a student needs to learn, retrieve resources, use tools to solve/verify problems, adjust how it explains certain topics, and check if the student has successfully learned a concept. For me, the biggest lesson I took away from the session is this: Chatbots are not going away. But the next evolution of AI is building responsible agents that can turn goals into actions. Thank you to Mohammad Arshad and the entire Decoding Data Science community for the opportunity to learn about building practical, real-world AI applications.

Hi everyone I completed Day 0 and received AI App Builder support kit for free. Please do complete the submission and get yours today.

🚀 I’m officially in the Agentic AI Challenge! 🤖🔥 Excited to begin this journey by completing Day 0 and joining everyone participating in the challenge! I’m looking forward to learning, experimenting, building, and growing throughout this challenge. 💡💻📈