RohitBhardwaj

In 2025, ChatGPT is no longer just a chatbot—it’s an agent platform that integrates with your stack (via MCP, Realtime API, Azure Agent Service, Amazon Q Dev, Gemini Code Assist, Claude 3.5). Software Architects and Developers who can harness this ecosystem will design faster, code safer, and ship smarter. This workshop takes you from basic prompting to building a full-stack AI-powered agent with guardrails, observability, and enterprise-ready governance—all in one day.

AI is moving from pilots to production faster than most enterprises are prepared for. Over the next 3–5 years, architectures must evolve to support agentic workflows, governed AI, secure inference, and cost-efficient operations. This session gives you a practical blueprint for building an AI-native enterprise architecture—powered by MCP/LangGraph orchestration, GraphRAG retrieval, ISO/IEC 42001 governance, NIST AI RMF safety controls, confidential computing, and post-quantum cryptography.

Resilient architecture is fundamental when working in distributed, cloud-based systems. Designing and architecting large-scale applications managing millions of requests brings unique challenges with availability, performance, and integration. You will need to make difficult choices and evaluate tradeoffs. Luckily, you can use different architecture patterns to make a distributed application more resilient. Based on evolutionary architecture, this approach enables you to create systems designed to evolve with the ever-changing software development ecosystem. Resilient architecture patterns will allow you to create systems that continue functioning even when components fail. Join expert Rohit Bhardwaj to learn how to implement an evolutionary architecture approach and understand resilient architecture patterns. This training will explore architecture decisions you may need to make when evaluating your architecture to improve performance and resiliency. For example, you will no longer struggle to handle millions of requests per second or face issues when routing traffic. What you'll learn — and how you can apply it By the end of this live, hands-on, online course, you'll understand the following: How to create responsive, maintainable, extensible architecture from resilient, elastic design utilizing message-driven services How to design cost-effective Recovery Point Objectives (RPOs) and Recovery Time Objectives (RTOs) How to identify blocking issues with microservices in the cloud How to evaluate caching strategies that can help lower costs and protect from DOS attacks And you'll be able to: Design high availability, high scalability, low latency, and resilient architectures. Analyze and review implementations. Identify key scalability challenges in your company. Prevent cascading failures and preserve functionality. This training is for you because... You have an existing need to evaluate your current architecture. You want to understand best practices. You need to design new systems and want to evaluate which pattern to use. Prerequisites Basic knowledge of software architecture Familiarity with design principles

In this dynamic talk, we explore the fusion of AI, particularly ChatGPT, with data-intensive architectures. The discussion covers the enhancement of big data processing and storage, the integration of AI in distributed data systems like Hadoop and Spark, and the impact of AI on data privacy and security. Emphasizing AI's role in optimizing big data pipelines, the talk includes real-world case studies, culminating in a forward-looking Q&A session on the future of AI in big data.

With advanced AI tools, software architects can enhance their project design, compliance adherence, and overall workflow efficiency. Join Rohit Bhardwaj, an expert in generative AI, for a session that delves into the integration of ChatGPT, a cutting-edge generative AI model, into the realm of software architecture. The session aims to provide attendees with hands-on experience in prompt engineering for architectural tasks and optimizing requirement analysis using ChatGPT. It is a compelling talk explicitly designed for software architects who are interested in leveraging generative AI to improve their work.

Join us for a transformative captivating session where you'll embark on a journey of discovery as we unveil a comprehensive seven-step methodology designed to revolutionize your approach to API design and implementation. Throughout the session, we'll explore practical use cases drawn from diverse industries, allowing you to gain valuable insights into the intricacies of designing APIs for real-world scenarios. From taxi hailing giants like Uber and Lyft to social media titans such as Facebook and Instagram, you'll dissect the unique challenges and requirements driving API design in today's dynamic digital landscape. Guided by seasoned industry experts, you'll delve into the core principles of RESTful microservices architecture and learn how to apply them effectively in your own projects. Through engaging presentations, interactive exercises, and hands-on, you'll master essential concepts such as OData integration, industry best practices, and innovative design strategies. By the end of the session, you'll emerge with a deep understanding of the seven-step process for designing superior cloud-native RESTful microservices APIs. Armed with practical insights and invaluable experience, you'll be ready to tackle the challenges of modern software architecture head-on, driving innovation and excellence within your organization. Don't miss this opportunity to elevate your skills, expand your knowledge, and unlock the full potential of RESTful microservices architecture. Join us and take the first step towards architectural mastery today!

Graph technology has emerged as the fastest-growing sector in database systems over the past decade—and now, it's at the heart of AI transformation. This talk explores the strategic imperative of mastering graph technologies for professionals designing intelligent systems, optimizing codebases, and architecting future-ready enterprises. Mastering graph databases, knowledge graphs, and advanced algorithms is no longer a niche skill—it's foundational to enabling AI use cases, powering semantic search, driving recommendation engines, and orchestrating Retrieval-Augmented Generation (RAG) with high precision. In this comprehensive session, we'll explore high-level graph algorithms that form the backbone of modern, complex systems and discuss how these algorithms are integral to the architecture of efficient graph databases. We will delve into the advanced functionalities and strategic implementations of knowledge graphs, illustrating their essential role in integrating disparate data sources, empowering AI applications including generative AI, and enhancing business intelligence. Join us to navigate the complexities and opportunities this dynamic field presents, ensuring you remain at the cutting edge of technology and continue to drive significant advancements in your projects and enterprises.