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Build and Deploy AI Agents

Build and Deploy AI Agents

Offered by Atique A.

Principal AI/ML Architect | Enterprise GenAI & Agentic Systems

Visvesvaraya Technological University Logo

Studied at Visvesvaraya Technological University

Deloitte Logo

Works at Deloitte

Description

Work 1:1 with an expert to build practical skills in AI agents and automation, one of the most valuable capabilities for AI engineers today. Possible uses of coaching sessions, but not limited to: - Single and multi-agent system architecture - Agent prompt and instruction design - Tool use and API integration for agents - Building automation workflows with AI decision steps - Agent evaluation, reliability testing, and failure handling - Production deployment and monitoring of agentic systems - AI code review on your agent projects


What you'll get from this package

Hands-on experience designing and building AI agents for real use cases

Skills to architect multi-agent systems with proper handoffs and error handling

The ability to evaluate and improve agent performance over time

A foundation for building increasingly sophisticated AI automation


Additional details

Coaching delivered via live sessions and .

Refund Policy

Services included:

Technical Skills

Prompt Engineering

AI Research

Model Development

AI System Design

ML Ops & Deployment

AI Code Review


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Atique A.

Offered by Atique A.

Joined July 2026

Principal AI/ML Architect | Enterprise GenAI & Agentic Systems

𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗮𝗹 𝗔𝗜 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 | 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 | 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 | 𝗔𝗜 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 I design and scale enterprise-grade AI architectures — production-ready Generative, Agentic, and Multi-Agent AI platforms. With 12+ years across platform engineering and distributed systems, my work focuses on where AI moves from prototype to enterprise: governed, observable, scalable, and cost-controlled. At Zoom, I contributed to AI platform initiatives bridging developer ecosystems with modern AI. Today, I architect reusable platform foundations for agent orchestration, lifecycle governance, distributed execution, and scalable deployment. 🔐 𝗔𝗜 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗦𝗮𝗳𝗲𝘁𝘆 A core thread across my work is making AI systems audit-ready and policy-bound — designing authentication and authorization layers (Azure AD / Entra ID, OAuth2, IAM SigV4, JWT) with pluggable AuthProvider patterns, multi-account topologies for tenant isolation, cross-account observability (ADOT + PrivateLink), and cost governance through gateway routing and credit-based metering. Enterprises don't just need AI that works — they need AI that's auditable, cost-controlled, and policy-bound. That's the layer I architect. 🤝 𝗦𝘁𝗮𝗿𝘁𝘂𝗽 & 𝗙𝗼𝘂𝗻𝗱𝗲𝗿 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 I partner with startups to design AI-native products from day one — system design, platform strategy, multi-agent workflows, LLM integration — helping founders move from concept to scale without crippling technical debt. 🎓 𝗠𝗲𝗻𝘁𝗼𝗿𝘀𝗵𝗶𝗽 & 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 Through YouTube (youtube.com/codeztech), atiqueahmed.com, codeztech.in, and GitHub (github.com/codeztech-atique), I've mentored 20+ developers into top companies — covering Hugging Face, Ollama, PyTorch, Node.js, React, Angular, AWS, and system design. 🔹 𝗖𝗼𝗿𝗲 𝗙𝗼𝗰𝘂𝘀 𝗔𝗿𝗲𝗮𝘀 Generative AI (GenAI) & Agentic AI Multi-Agent Systems (MAS) LLM Architecture & RAG AI Governance, Lifecycle Management & Policy Enforcement Auth Architecture (OAuth2, SigV4, JWT, Entra ID) AI Platform Engineering & Distributed Systems Cost Governance & Cross-Account Observability Autonomous Workflow Design 🏆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 Guinness World Record holder (Programming Excellence) Designed scalable AI platforms used at enterprise scale Enabled startups to launch AI-powered MVPs rapidly Delivered technical workshops and architecture sessions If you're building the next generation of governed, enterprise-grade AI systems — 𝗹𝗲𝘁'𝘀 𝗰𝗼𝗻𝗻𝗲𝗰𝘁.

Coaches professionally

Experience level: Director

Starting at $375.25

5h+ of coaching