AI/ML Engineering Skill Building

AI/ML Engineering Skill Building

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:

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.

Refund Policy

Services included:

Model Selection and Evaluation

Model Deployment

Fine-Tuning & Custom Models

Skill Building


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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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