Course

Credit Type:
Course
ACE ID:
MLS-0116
Version:
1
Organization:
Location:
Online
Length:
13 weeks (109 hours)
Minimum Passing Score:
80
ACE Credit Recommendation Period:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 3 Product Management using AI
Description

Objective:

The course objective is to become proficient in launching software products using Microsoft tools like Copilot, Power BI, and Azure. Drive data-driven decisions and collaborate effectively, key in today's tech world. Gain expertise in B2B market research, cloud strategy, and product launch, building a strong portfolio via hands-on projects and real-world cases. Learn to manage enterprise products with security, compliance, and scalability, preparing for roles like Associate Product Manager or Product Analyst.

Learning Outcomes:

  • Analyze market data and competitive landscapes to identify product opportunities, define target users, and support strategic decision-making
  • Apply product management principles and methodologies to manage the full product lifecycle, from ideation through development and launch, in alignment with business objectives and customer needs
  • Develop product strategies and roadmaps that establish product vision, prioritize features, and outline timelines and milestones for execution
  • Utilize data analytics and cloud-based tools to inform product decisions, evaluate performance, and support the development of AI-enabled solutions
  • Apply user experience (UX) and design thinking principles to design user-centered products, including the creation of wireframes and prototypes
  • Analyze market data and competitive landscapes to identify product opportunities, define target users, and support strategic decision-making
  • Develop product strategies and roadmaps that establish product vision, prioritize features, and outline timelines and milestones for execution
  • Apply user experience (UX) and design thinking principles to design user-centered products, including the creation of wireframes and prototypes
  • Utilize data analytics and cloud-based tools to inform product decisions, evaluate performance, and support the development of AI-enabled solutions
  • Apply product management principles and methodologies to manage the full product lifecycle, from ideation through development and launch, in alignment with business objectives and customer needs

General Topics:

  • Enterprise Product Management Fundamentals
  • Market Research and Competitive Analysis
  • Product Strategy and Roadmapping
  • Product Design and UX/UI Fundamentals
  • Product Launch and Post-Launch Management
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Computer Based Training
  • Discussion
  • Laboratory
  • Lectures

Methods of Assessment:

  • Quizzes
Supplemental Materials
Equivalencies

Other offerings from Microsoft Corporation