Ali

PhD in AI | 15+ yrs Academic & Industry Expert | Python, Machine Learning & Data Science Specialist!

I am a PhD-qualified Artificial Intelligence specialist with over 15 years of experience in AI & Data Science. My background includes: (1) PhD in Artificial Intelligence and Post Doc Research & Teaching. (2) 10+ years leading AI and Data Science initiatives in industry. (3) University-level teaching and curriculum design. (4) Founder of an AI training and consultancy business.

I teach all matters AI, ML and Data Science related, from Python programming and ML Models to Architecture Design, Cloud Platforms (e.g. Azure), AI Software development skills and MLOps.

Tutoring Experience

Over the past 15 years, I have taught and trained individuals across a wide range of settings — from university classrooms to companies' boardrooms. My academic teaching experience includes both in-person and online delivery of modules in Computer Science, Artificial Intelligence, and Data Science. I’ve supported learners with research, dissertations, and technical assessments.

Alongside academia, I’ve spent over a decade in industry as a Data Scientist, ML Engineer, AI Architect, and AI Strategist, which has given me deep insights into the practical demands of the field. I’ve delivered professional workshops and hands-on training to data science teams, upskilled junior AI engineers, and designed executive education sessions for business leaders on the adoption of AI.

I am also the founder of an AI training and consultancy company, where I continue to design and lead tailored programmes to bridge the gap between academic theory and real-world AI applications.

Subjects I cover include:

1. Python programming
2. Machine Learning (Supervised, Unsupervised, Neural Networks)
3. Machine Learning Engineering including MLOps, deployment and model evaluation.
4. Artificial Intelligence (Search, Reasoning, Planning, Agents)
5. Data Science (Pandas, Scikit-learn, real-world data projects)
6. A-Level Computer Science syllabus (OCR/AQA/Edexcel)
7. Dissertation and research project guidance

Tutoring Approach

Student-centred, practical, and results-oriented. I begin each engagement by understanding the learner’s goals and current knowledge, then tailor the sessions to suit their pace and level — whether it’s exam preparation, mastering coding skills, or exploring advanced AI topics.

A key focus of my approach is helping students connect academic knowledge with practical, industry-relevant skills. I explain complex concepts using real-world examples from my industry experience, and wherever possible, I incorporate hands-on exercises, code walkthroughs, and case studies.

For students aspiring to enter the AI or tech sector, I also provide insights into career paths, project building, and the skills employers value. I aim to build confidence, deepen understanding, and ultimately empower students to excel academically and professionally.

First session (15–30 minutes) offered free for planning and needs assessment.