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Description
This coaching package is designed to give you applied AI/ML skills. By the end, you’ll have built an end-to-end ML project and gained experience with real data and frameworks. Possible uses of coaching packages, but not limited to: • Dataset exploration: prepare and analyze data • Tool mastery: hands-on practice with PyTorch or TensorFlow • Guided build: train and tune a model on a dataset • Deployment basics: run your model in a test environment • Documentation: record your process for iteration • Next steps: roadmap for production-level ML Outcome: By the end, you’ll have a complete ML project—including dataset, trained model, and results—plus the skills to advance into production-level ML.
What you'll get from this package
An end-to-end ML project
Hands-on experience with PyTorch/TensorFlow
A tuned, working ML model
Documentation and next-step roadmap
Additional details
Coaching delivered via live sessions.
Services included:
Model Selection and Evaluation
Model Deployment
Fine-Tuning & Custom Models
Skill Building
Talk to a team member
Schedule a call with a Leland team member who can help you explore your options.
Schedule a call
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Get help with LinkedIn Review, Cover Letters, and .
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.
Starting at $375.25
5h+ of coaching