Prerequisites
- Basic understanding of digital technologies and their impact on professional processes.
- Curiosity about AI integration within product lifecycle management and market strategies.
- An open mindset toward technological advancements and learning innovative concepts.
Course outline
- 1
Lesson 1: Introduction to Artificial Intelligence (AI) for Product Managers
- 1.1 Understanding the Basics of artificial intelligence
- 1.2 Importance of AI
- 2
Lesson 2: Fundamentals of Machine Learning
- 2.1 Introduction to Machine Learning
- 2.2 Data Preparation in ML model
- 3
Lesson 3: AI Product Development Lifecycle
- 3.1 Exploring How AI Can Be Leveraged in Ideation and Conceptualization
- 3.2 Prototyping and Testing: Explore Methods for Prototyping and Testing AI-driven Products Effectively
- 4
Lesson 4: AI Ethics and Bias
- 4.1 Understanding Ethical Considerations: Examine the Ethical Implications of AI Products and the Responsibility of Product Managers
- 4.2 Mitigating Bias: Learn Strategies to Identify and Address Bias in AI Algorithms and Products
- 5
Lesson 5: AI Implementation Strategies
- 5.1 Integration with Existing Products: Explore Methods for Integrating AI Features into Existing Products Seamlessly
- 5.2 Stakeholder Management: Understand How to Communicate AI Initiatives Effectively with Stakeholders and Gain their Support
- 6
Lesson 6: AI Metrics and Performance Evaluation
- 6.1 Key Performance Indicators (KPIs): Identify Relevant Metrics for Measuring the Success of AI-driven Products
- 6.2 Performance Evaluation Techniques: Learn Methods for Evaluating the Performance of AI Models and Products
- 7
Lesson 7: AI Regulation and Compliance
- 7.1 Regulatory Landscape: Explore Current Regulations and Frameworks Relevant to AI Products
- 7.2 Compliance Strategies: Develop Strategies to Ensure AI Products Comply with Regulatory Requirements
- 8
Lesson 8: Future Trends in AI and Product Management
- 8.1 Emerging Technologies: Discuss Upcoming Trends and Technologies Shaping the Future of AI and Product Management
- 8.2 Strategic Planning: Learn How to Anticipate and Adapt to Future Changes in the AI Landscape to Drive Product Innovation
Materials
All necessary course materials are included.
System requirements
Minimum technical expectations for the online learning environment. Your IT team can use this as a checklist.
Internet connectivity
Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.
While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system. This is due to the potential high download and upload latency of cellular connections. Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.
Hardware
- CPU: 1 GHz or higher
- RAM: 4 GB or higher
- Resolution: 1280 x 720 or higher. 1920x1080 resolution is recommended for the best experience.
Speakers / Headphones Microphone for Webinar or Live Online sessions.
Operating system
Windows 7 or higher. Mac OSX 10 or higher. Latest Chrome OS Latest Linux Distributions.
While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.
Web browser
Latest Google Chrome is recommended for the best experience. Latest Mozilla FireFox Latest Microsoft Edge Latest Apple Safari.
Recommended software
Office suite software (Microsoft Office, OpenOffice, or LibreOffice) PDF reader program (Adobe Reader, FoxIt) Courses may require other software that is described in the above course outline.
Ready for a team proposal?