CoderRange - AI , Big data , Data Science !.

### 🧠 Overview:

Join us for an immersive session where we delve into the intricacies of system architecture within the realms of DevOps and cloud computing. This event is designed to bridge the gap between foundational knowledge and advanced architectural practices, ensuring attendees gain actionable insights applicable to real-world scenarios.

### 🎯 Target Audience:

• Developers with 2–8 years of experience aiming to deepen their understanding of system architecture.
• DevOps professionals seeking to integrate architectural best practices into their workflows.
• Cloud engineers interested in scalable and resilient system design.

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### 🛠️ Agenda:

1. Welcome & Introduction
   Brief overview of the event's objectives and the importance of system architecture in modern development.
2. Session 1: "Foundations of System Architecture in the Cloud"
   Explore the core principles of designing systems optimized for cloud environments, including scalability, availability, and fault tolerance.
3. Session 2: "DevOps Meets Architecture: Ensuring Seamless Integration"
   Discuss how DevOps practices influence architectural decisions and the role of CI/CD pipelines in maintaining system integrity.
4. Break & Networking
   Opportunity for attendees to connect and discuss insights from the sessions.
5. Session 3: "Case Study: Building a Resilient Microservices Architecture"
   Walkthrough of a real-world example highlighting the transition from monolithic to microservices architecture, emphasizing challenges and solutions.
6. Session 4: "Interactive Workshop: Designing Your Own System"
   Hands-on activity where attendees collaborate to design a system based on given requirements, followed by group discussions.
7. Q&A Panel
   Open floor for attendees to ask questions to the panel of experts.
8. Closing Remarks & Next Steps
   Summary of key takeaways and information on further resources or upcoming events.

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### 🎁 Takeaways:

• Comprehensive understanding of system architecture principles in cloud and DevOps contexts.
• Practical experience through interactive workshops.
• Networking opportunities with peers and industry experts.
• Access to session materials and additional resources post-event.

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### 📅 Duration: 2 Hours

Target Audience:

• Intermediate to advanced devs, ML engineers, backend/infra pros
• Curious professionals (2–10 years exp) who’ve heard of ChatGPT, but want to understand how it really works

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### 🧠 Agenda Breakdown:

| Time | Segment |
| ---- | ------- |
| 0–10 min | 🔥 Opening: “Why LLMs Are Eating the World” — Real use cases |
| 10–30 min | 🧱 LLM Core Design: Transformer, Tokens, Training at Scale |
| 30–55 min | 🔍 From GPT-2 to GPT-4: Scaling Laws, Attention, MoE |
| 55–75 min | 🔄 How LLMs Learn to Chat: RLHF, Prompt Engineering, Safety |
| 75–95 min | 🧩 Demo: Build a RAG App (LLM + Custom Data) using LangChain/Haystack |
| 95–110 min | ⚙️ Fine-Tuning + LoRA: Customize Open LLMs with 1 GPU |
| 110–120 min | Q&A + Show top tools & free resources (like HuggingFace, Ollama, Mistral) |

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### 🎯 Key Concepts Covered:

• Tokenization (BPE, embeddings)
• Transformer architecture (multi-head attention, LayerNorm)
• What happens during pretraining (auto-regression, dataset size)
• RLHF & human feedback alignment
• LoRA vs full fine-tuning (real-world tips)
• Vector DBs + LangChain for building real AI apps
• Prompt Engineering vs RAG vs Fine-tuning — when to use what

***

### 💻 Optional Demos (Boosts Engagement)

1. Chat with your own PDF using RAG
2. LoRA fine-tune Mistral-7B on custom support data
3. Prompt Injection attack → and defense

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### 1. Coding Challenge: Build a Dynamic Form with Validation & Reusability (25 mins)

Objective: Implement a dynamic form component in React that accepts JSON schema and renders inputs with built-in validation.
Key Concepts:

• Controlled components and form state
• Reusable components with props and context
• Validation (custom + libraries like Yup)

Discussion Points:

• Schema-driven UI design
• Managing deeply nested form data
• Performance with large forms (memoization, virtualization)

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### 2. Debugging Simulation: Resolving React Memory Leaks (25 mins)

Scenario: A React dashboard gradually slows down and crashes after prolonged use.
Tasks:

• Identify and fix memory leaks from event listeners, intervals, or subscriptions
• Apply cleanup with `useEffect` and test with Chrome DevTools

Key Concepts:

• React lifecycle (`useEffect`, cleanup, unmount)
• Debugging with React DevTools + Profiler
• Preventing zombie subscriptions and stale state

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### 3. System Design Session: Designing a Component Library for an Enterprise App (35 mins)

Objective: Architect a scalable and themeable component library with Storybook integration.
Discussion Points:

• Atomic design principles
• Style systems (Tailwind vs Styled Components)
• Component composition and accessibility

Key Concepts:

• `React.forwardRef`, `useImperativeHandle`
• Design tokens and theme context
• Publishing as NPM package

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### 4. Real-World Product Issue: Handling Global Error Boundaries & Logging (25 mins)

Scenario: In production, certain user flows result in blank screens with no feedback.
Tasks:

• Implement a global error boundary that logs to an external service
• Display fallback UIs with user-friendly messaging

Key Concepts:

• `componentDidCatch` vs `useErrorBoundary`
• Integration with Sentry, LogRocket, or custom loggers
• Ensuring observability in SPAs

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### 5. Q&A and React Roundtable (30 mins)

Open forum:

• Discuss real-world challenges like hydration errors, performance bottlenecks, or state explosion
• Interview insights for React engineers (2–6 YOE)
• Live review of participant projects or portfolio advice

***

> ✅ Bonus Add-on for Recruiter/Team Use:
> Series 2 – "ReactJS Pro Advanced":

• React + GraphQL integration
• State machine with XState
• Lazy loading, code splitting, SSR & hydration
• Testing React apps with Cypress + Jest

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