Miles Delwig

Miles is an accomplished engineer, consultant, and passionate educator. He focuses on enabling professionals to master Python and AI tools to rapidly solve complex, real-world challenges. Delwig possesses a rare ability to translate intricate technological concepts into clear, impactful, and actionable outcomes, with his teaching philosophy deeply rooted in real-world relevance. He guides learners through the full spectrum of capability, from foundational steps in Python to the successful deployment of scalable solutions within cloud environments.

Areas of Expertise

Professional Summary

Engineer, Expert in Python, AI tools, Scalable Data Solutions, and Complex technologies.

Miles Delwig's core areas of expertise include Python Programming for Data Automation, where he has extensive experience teaching and applying Python to automate workflows, process data, and build business-critical scripts. He also specializes in AI-Augmented Coding & Practical Use of Large Language Models (LLMs), enabling professionals to leverage tools like Git, ChatGPT, Copilot, and OpenAI APIs for faster prototyping and automation. His expertise extends to Data Processing & Workflow Design at Scale, covering large and complex datasets using Apache Spark, Databricks, and cloud services (AWS, GCP). Furthermore, he is proficient in Computer Vision for Applied Use Cases, guiding learners from image classification to object detection with YOLO and CNN’s using frameworks like PyTorch and MLOps. These areas are reflected in his program offerings, which include:

Training Programs Delivered

Professional Qualifications, Education and Accreditation

• Accomplished Engineer, Consultant, and Educator with expertise in Python, AI tools, and scalable data solutions.

• Extensive experience developing solutions for autonomous driving at Mercedes-Benz, showcasing advanced application of AI and data processing.

• Successfully implemented AI-powered computer vision systems in vertical farming, enhancing automation and operational efficiency.

• Designed scalable data systems for the media and healthcare industries, demonstrating cross-sector versatility in large-scale data engineering.

• Recognized for translating complex technologies into clear, actionable learning experiences for professionals, with a teaching philosophy grounded in real-world application.

• Proficient in modern AI-augmented development practices, including Git integration, OpenAI APIs, MLOps, and cloud-native deployment (AWS, GCP).

• Specializes in data processing and workflow design at scale, enabling organizations to make faster, smarter decisions with big data tools like Spark and Databricks.

• Expert in computer vision for applied use cases, from image classification to object detection, using state-of-the-art frameworks.

• The Python Advantage: AI-Automation for Everyday Excellence: A hands-on course empowering professionals to automate tasks and streamline workflows using Python and AI tools like ChatGPT and Copilot.

• AI Eyeopener: From Zero to 1 in Computer Vision: Practical training to build AI-powered image classification and object detection models with frameworks such as PyTorch and YOLO.

• Data at Scale: Smart Processing, Fast Decisions: Advanced workshop on handling large datasets, designing scalable pipelines, and reducing processing times using Apache Spark, Databricks, AWS, and GCP.

• The Python Advantage: AI-Automation for Everyday Excellence, a hands-on course for automating tasks and streamlining workflows using Python and AI tools.

• AI Eyeopener: From Zero to 1 in Computer Vision, a practical entry into building AI-powered image classification and object detection models.

• Data at Scale: Smart Processing, Fast Decisions, which teaches how to handle large datasets, design scalable pipelines, and reduce processing times using Spark, Databricks, and cloud-native tools.