Managing Machine Learning Projects: From design to deployment

Managing Machine Learning Projects: Complete Bundle (Book + Video Course)
Master ML Project Delivery from Design to Production, No Technical Skills Required

Overview
Accelerate your success in machine learning with this exclusive bundle, featuring the highly acclaimed book Managing Machine Learning Projects by Simon Thompson, and its comprehensive companion video course, Managing Machine Learning Projects, Video Edition (by O’Reilly). Together, they provide an end-to-end, practical framework for managing machine learning (ML) initiatives—perfect for professionals, teams, and leaders who want to ensure timely, cost-effective, and ethical delivery of real-world ML solutions, all without needing a technical background.

What’s Included

• Managing Machine Learning Projects (Book):
  This essential project management guide reveals step-by-step strategies for delivering ML projects efficiently from conception to deployment. It covers every phase with practical tools and actionable insights—requirements analysis, infrastructure setup, team and stakeholder management, model lifecycle, data resources, ethical and regulatory compliance, and more. Based on proven methodologies and illustrated with a compelling case study, the book will enable you to avoid pitfalls, minimize risk, and maximize the value of your ML initiatives. edition includes free eBook formats (PDF, Kindle, ePub).

• Managing Machine Learning Projects, Video Edition (Course):
  A thorough and engaging video training (over 10 hours), this course brings the book’s guidance to life with practical demonstrations, real-world case studies, and easy-to-follow modules. Learn to structure projects, estimate time and resources, manage data, evaluate and select models, navigate ethical challenges, and guide your team to successful ML application delivery—no technical expertise required. Taught by Simon Thompson, a veteran AI project leader.

Key Features & Benefits

• End-to-End Coverage:
  Guide a machine learning project through all stages, from initial opportunity and requirements mapping, through model building, evaluation, and integration, to post-project review and continuous improvement.

• Non-Technical Management Focus:
  Designed explicitly for project managers, business analysts, product owners, and leaders—no ML technical background required. Empowers you to direct and oversee ML projects with confidence.

• Practical Tools & Checklists:
  Apply checklists, templates, and best practices directly to your projects, ensuring thorough planning, transparent team communication, and repeatable execution.

• Risk Reduction & Ethical Assurance:
  Address data privacy, bias mitigation, regulatory compliance, and ethical considerations at every stage, minimizing risk and ensuring your project aligns with global best practices.

• Real-World Case Studies:
  Follow the journey of a sample project (The Bike Shop) from start to finish, reinforcing concepts and techniques with concrete examples.

• Flexible Learning Experience:
  Read at your own pace and reinforce learning with structured video content, downloadable resources, and practical exercises.

Who Should Buy This Bundle?

• Project managers, product owners, and business leaders overseeing or planning AI/ML initiatives
• Team leads and stakeholders seeking a proven framework to steer projects toward measurable value
• Anyone entering machine learning project management who needs a comprehensive practical guide—no technical skills needed!

About the Author & Instructor

Simon Thompson is a globally recognized expert in artificial intelligence project delivery, with 25 years of experience developing ML systems for telecoms, finance, manufacturing, and more. Former Head of AI Research at BT Labs, and current Head of Data Science at GFT Technologies.

Included Formats

• digital book (PDF, Kindle, ePub)
• 10+ hours of streaming video course content

Unlock Success in Machine Learning Projects
Empower yourself and your team with this authoritative, practical bundle, and manage machine learning projects with clarity, confidence, and proven results.

[Order Now: All-in-One Guide and Course for Managing Machine Learning Projects!]