About the Product Management with Artificial Intelligence Training
The Product Management with Artificial Intelligence Training is a corporate program covering the core AI concepts, product strategy, and product lifecycle needed to manage AI-powered products and projects. Participants examine validating AI opportunities, managing data and model processes, measuring product success, and strategic decision-making.
The program includes concept mapping, team simulations, AI case studies, and design-thinking workshops. Participants work together on AI solutions aligned with business objectives, and hands-on assignments reinforce what is learned in the sessions. The training duration is listed as 2 days and the training type as live online or in person.
Who Should Attend?
- Business analysts, systems analysts, project managers, team leaders, managers, and enterprise architects
- Individuals who hold the Product Owner or product manager role in Scrum teams
- Those who want to improve their knowledge in business analysis and project scope management
- Mid-level and senior IT managers who manage business analysis teams or processes
- UX specialists
- Software specialists
- Test engineers and quality assurance specialists
Outline
Module 1: AI Fundamentals and Product Management
- Machine Learning, Deep Learning, and Natural Language Processing (NLP): How these AI approaches are used in product development.
- Types of AI: How algorithm types such as supervised, unsupervised, and reinforcement learning affect product opportunities.
- The Technical Role of an AI Product Manager: Managing model selection, dataset requirements, and model evaluation metrics.
Module 2: AI Product Development and Lifecycle
- Validating AI Opportunities: Problem definition and hypothesis testing techniques to assess AI solution fit.
- AI Product Development Steps: Managing the processes of data collection, data cleaning, model training, and model deployment.
- MLOps: Strategies for model maintenance and updates, as well as continuous integration and delivery.
Module 3: Strategy and Success Measurement
- Success Metrics: Defining OKRs, KPIs, and North Star metrics for AI products.
- AI Model Performance Testing: Interpreting metrics such as precision, recall, and F1 score, and improving model accuracy.
- Model Bias and Fairness: Control processes for the ethical and fair use of AI models.
Prerequisites
Participants are expected to be familiar with basic concepts such as product development, product strategy, and the product lifecycle.
For a shorter option focused on using generative AI in existing product management workflows such as market research, user stories, product roadmaps, and launches, see the Product Management with GenAI Training page. The Product Management / Digital Product Management Training is also a relevant option for the core product management processes beyond AI.
To get a program and price quote for your organization, fill out the Contact Form on this page or reach us through the BlueMark Academy contact page.
Frequently Asked Questions
How many days does the Product Management with Artificial Intelligence Training last?
The page lists the training duration as 2 days.
Is the training offered online?
Yes. The training format is listed as live online or in person.
What main modules does the training consist of?
The training consists of the modules AI Fundamentals and Product Management, AI Product Development and Lifecycle, and Strategy and Success Measurement.
Does the training cover MLOps and model performance?
Yes. The curriculum includes MLOps, model maintenance and update strategies, and performance metrics such as precision, recall, and F1 score.
What prior knowledge is expected to attend the training?
Participants are expected to be familiar with basic concepts such as product development, product strategy, and the product lifecycle.
How do I request a corporate training quote?
You can submit a quote request by filling out the Contact Form on this page or through the BlueMark Academy contact page.