This full-stack workshop empowers developers to create production-ready AI applications through hands-on coding sessions and infrastructure deep dives.

Technical Agenda

Session 1: Modern AI Development Toolchain (45 mins)

• Comparative analysis of Bolt AI vs. GPT-Engineer vs. Claude Code Interpreter for real-world projects
• Speaker - Dinesh Kumar P - Lead Product Manager at TNQTech - https://www.linkedin.com/in/dinesh-kumar-prabakaran/

Session 2: Hardware Optimization for AI Workloads (45 mins)

• Benchmarking NPUs vs GPUs for different AI tasks (inference vs training)
• Cost-performance analysis of cloud vs edge deployment strategies
• Demo: Quantizing models for Intel Gaudi accelerators using OpenVINO toolkit
• Speaker - Shriram Vasudevan - Intel Corporation - Lead - Technical | APJ (AI, GenAI, Software Tools Ecosystem Specialist), Intel Corporation - https://www.linkedin.com/in/shriramkvasudevan/

Coffee & Code Break (15 mins)

Session 3: API Orchestration at Scale (45 mins)

• Architectural patterns for AI-assisted development workflows
• Live code walkthrough: Implementing CI/CD pipelines for AI features using GitHub Actions
• Implementing circuit breakers for Bing News API integration

Workshop: Full-Stack News Intelligence Platform (75 mins)

• Lovable.dev - workshop.
• Speaker - Yogesh - Senior Software Engineer, Photon - https://www.linkedin.com/in/yogesh-janakiraman-716a7257/