Build and Deploy AI Agents

Build and Deploy AI Agents

Offered by Kamal D.

Build production-ready AI and ML systems

Michigan Technological University Logo

Studied at Michigan Technological University

NRG Energy Logo

Worked at NRG Energy

Package 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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Kamal D.

Offered by Kamal D.

Joined June 2026

Build production-ready AI and ML systems

I bring hands-on experience in AI, machine learning, data science, and production-grade GenAI engineering, with a focus on building practical solutions that solve real business problems. My experience includes designing and implementing AI-powered applications, RAG systems, LLM-based analytics tools, and agentic solutions that help teams automate workflows, retrieve knowledge, and generate insights from enterprise data. I have built agentic AI solutions using different frameworks and implemented them in production environments. I have worked across the full lifecycle, from problem definition and prototype development to model integration, evaluation, deployment, and scaling. My experience also includes implementing key production components such as memory, observability, traceability, human-in-the-loop workflows, evaluation, and guardrails. I can help customers understand not only the concepts behind AI and ML engineering, but also the practical architecture and implementation steps needed to move from prototype to reliable production-ready AI systems.

Experience level: Manager

Starting at $375.25

5h+ of coaching

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