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.
Zero fluff.