AI for Leaders & Program Managers: Strategy to Deployment (Udemy.com)
Avoid the 85% failure rate. Learn to plan, manage, build, & deploy AI projects that succeed in the real world.
Created by: Prof. Ryan Ahmed, PhD, MBA
Last updated January 2026
What you will learn
- Understand the full lifecycle of AI projects from initial concept and problem definition to model deployment and monitoring.
- Build a strong foundation in AI fundamentals, including traditional AI, generative AI, and autonomous AI agents.
- Learn the unique challenges and requirements of AI projects compared to conventional software development.
- Translate business problems into AI use cases by identifying high-value applications and clearly defining success metrics (KPIs).
- Master the art of building effective AI teams, including data scientists, ML engineers, domain experts, and project managers.
- Understand differences between structured vs. unstructured, labeled vs. unlabeled and choosing appropriate internal and external data sources.
- Design a comprehensive data strategy that includes data collection, governance, access control, and lifecycle management.
Course Description
Research indicates that over 85% of AI projects fail to deliver on their promise.
This is because teams jump straight to building models without a clear strategy, plan, or understanding of the whole picture and the entire AI lifecycle end-to-end.
That’s where this course comes in.
This course is designed to help you bridge the gap between AI theory and real-world execution.
The course is designed for product managers, engineers, business leaders, or anyone curious about AI. It will give you a practical, step-by-step roadmap to manage AI projects from start to finish.
We’ll start with the fundamentals, like what AI, generative AI, and AI agents are, and walk through each phase of the lifecycle: defining business goals, building a strong data strategy, selecting and validating the right models, and deploying solutions that work in the real world.
We will then learn how to ensure ethical AI use, navigate governance and compliance, and avoid the common pitfalls that derail so many AI projects.
No prior coding or AI experience is needed. You'll gain hands-on exposure to tools like Pandas, SageMaker, Hugging Face, and Teachable Machine, and apply your learning through real-world case studies and practice challenges.
By the end of the course, you won’t just understand AI; you’ll know how to lead it!
Enroll today, and I look forward to seeing you on the other side!
Instructor Details
- 4.5 Rating
591 Reviews
Prof. Ryan Ahmed, PhD, MBA
I'm Dr. Ryan Ahmed, professor, engineer, and founder of Stemplicity, where we help people get past the hype and actually build things with AI, Agentic AI, Cloud, and Data Science.
Over the past 10 years, I've taught 1 million learners across 160 countries — 700,000+ enrolled in my Udemy courses, 260,000+ subscribers on the "Prof. Ryan Ahmed" YouTube channel, and 120,000+ on Coursera. I also run corporate AI training for teams at HSBC, RBC, Discover, and Barclays across the US, Canada, and the UK. I held leadership roles at GM, Samsung, and Stellantis in Canada and the U.S., working on electric and autonomous vehicle technologies.
I hold a MASc, PhD, and MBA from McMaster University. I’m also a licensed Professional Engineer and a Stanford-certified program manager with over 60+ published research papers in AI and battery systems.
But credentials are the least interesting part. Here's what I actually believe: "AI is the biggest opportunity of our lifetime", and most people are sitting it out because they think they need to code or have a PhD. You don't. If you're willing to show up and try, I'll help you get good at this.
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Reviews
By Udemy User on 8/4/2026
The practice opportunities are excellent way of learning by doing. Requires time to think, write out solutions, and compare with Ryans solutions. Course is excellent preparation for thinking out how to proceed with a small prompting project to a corporate AI project.
By Andrii Olach on 7/24/2026
More complex practical examples, current ones are rather copy paste from the explanation. Some explanations, like KPIs were done at the end of the course, but heavily referenced in the beginning.
By Yadagiri Rao on 6/23/2026
no practice tests , its very boring
By Sivasri on 4/7/2026
Excellent course work and it is very meticulously planned for all levels and the instructor is very experienced. He can explain the subject in a very simple manner so that a novice can easily understand. Lots of interesting practice material. Thank you.
By Parmod Kumar on 1/25/2026
This is exactly what I was looking for. The explanation with practical examples makes it really understandable for PMs and other leaders on how to leverage AI in their daily tasks. Thank you!
By Sanjay Kumar Sinha on 11/13/2025
While I am just starting,the first impression I got is - The course is well designed , Optimized and provide a holistic view in this topic.
By Gerhard Botha on 8/14/2025
I know more about ML evaluation and lifecycles now than I did from an actual Bootcamp which I did at a university. Would recommend 100%.
By Tamer Hammad on 8/5/2025
Great instructor and well-developed course. Help me get a better understanding of the technology without all of the tech jargon.
By Lakshmi K on 7/18/2025
This course strikes an ideal balance between covering the full breadth of the AI project lifecycle and offering just the right level of depth at each stage. The content is thoughtfully structured, featuring clear frameworks, practical details, real-world examples, and hands-on exercises. It's delivered in an engaging, approachable, and friendly manner. Highly recommended for both individual contributors and leaders seeking a well-rounded, comprehensive understanding of AI projects.
By Jatin Raj on 7/15/2025
One of THE BEST courses available anywhere on the topic. Thanks Dr. Ryan for the detailed yet easy to understand course material feared towards the needs of Project professionals who are leading the IA projects. Jatin Raj
Quality Score
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Overall Score : 90 / 100

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