ChatGPT for Software Architects & Developers 2025 — Build Agentic, Secure AI

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.

Who Should Join?

  • Software Architects – to shape AI-augmented blueprints
  • Enterprise Architects – to design AI-ready platforms with governance
  • Technical Leads & Senior Developers – to scale code, reviews, and CI/CD with AI copilots
  • IT Managers & Engineering Leaders – to drive digital transformation with secure AI workflows
  • AI Enthusiasts – to future-proof your career with agentic systems skills

What You’ll Learn

  • Master prompt engineering that passes acceptance tests
  • Build agentic workflows using MCP tool servers and the Realtime API
  • Compare GPT-5, Claude 3.x, Gemini 2.x, Amazon Q Dev, Azure Agent Service for enterprise use
  • Implement RAG 2.0 with evals & structured outputs
  • Secure your systems with OWASP LLM Top 10 (2025) red-team/blue-team exercises
  • Integrate AI into CI/CD pipelines, IDEs, and architectural documentation
  • Optimize costs, observability, and governance for large-scale AI adoption

Outcomes
By end of day, you will leave with:

A working repo of an MCP-connected agent

A security checklist mapped to OWASP LLM Top 10

Hands-on experience with AI copilots across major vendors

Playbooks for cost, governance, and evaluation

Confidence to lead AI-first architecture initiatives in your org

Agenda

Module 1 — The New AI Landscape

  • GPT-4o/o3, Claude 3.5, Gemini 2.5, Amazon Q Dev, Azure Agent Service
  • Trade-offs in cost, latency, context, and governance

Module 2 — Agentic Architecture with ChatGPT

  • Hands-on: Build a ChatGPT agent using MCP + Realtime API
  • Connect to repos, tickets, APIs — simulate enterprise workflows

Module 3 — RAG 2.0 & Structured Outputs

  • Retrieval augmentation patterns for architecture tasks
  • Eval harnesses, JSON-strict outputs, regression gates

Module 4 — SDLC Integration with AI Copilots

  • Amazon Q Dev for code refactor
  • Gemini Code Assist “Agent Mode” for multi-file edits
  • Azure Agent Service for gated deploys

Module 5 — Security & Risk

  • Prompt-injection red team exercise
  • OWASP LLM Top 10 walkthrough
  • Guardrails for data and compliance

Module 6 — Observability & Governance

  • Cost controls, tracing, quotas, model routing
  • AI SLOs & governance dashboards

Capstone Lab (90 min)
Build a secure MCP-powered ChatGPT Agent that:

  • Reads a repo → files a ticket → generates a patch → passes evals → resists injection.
  • Optional: connect via Realtime API voice call (SIP) for a live hotline demo.

Rohit Bhardwaj

About Rohit Bhardwaj

Rohit Bhardwaj is a Director of Architecture working at Salesforce. Rohit has extensive experience architecting multi-tenant cloud-native solutions in Resilient Microservices Service-Oriented architectures using AWS Stack. In addition, Rohit has a proven ability in designing solutions and executing and delivering transformational programs that reduce costs and increase efficiencies.

As a trusted advisor, leader, and collaborator, Rohit applies problem resolution, analytical, and operational skills to all initiatives and develops strategic requirements and solution analysis through all stages of the project life cycle and product readiness to execution.
Rohit excels in designing scalable cloud microservice architectures using Spring Boot and Netflix OSS technologies using AWS and Google clouds. As a Security Ninja, Rohit looks for ways to resolve application security vulnerabilities using ethical hacking and threat modeling. Rohit is excited about architecting cloud technologies using Dockers, REDIS, NGINX, RightScale, RabbitMQ, Apigee, Azul Zing, Actuate BIRT reporting, Chef, Splunk, Rest-Assured, SoapUI, Dynatrace, and EnterpriseDB. In addition, Rohit has developed lambda architecture solutions using Apache Spark, Cassandra, and Camel for real-time analytics and integration projects.

Rohit has done MBA from Babson College in Corporate Entrepreneurship, Masters in Computer Science from Boston University and Harvard University. Rohit is a regular speaker at No Fluff Just Stuff, UberConf, RichWeb, GIDS, and other international conferences.

Rohit loves to connect on http://www.productivecloudinnovation.com.
http://linkedin.com/in/rohit-bhardwaj-cloud or using Twitter at rbhardwaj1.

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