Chevron Left
Back to Product Launch and Post-Launch Management

Learner Reviews & Feedback for Product Launch and Post-Launch Management by Microsoft

4.7
stars
39 ratings

About the Course

Navigate the journey of launching a new product into the market and managing its lifecycle post-launch. This course covers planning successful launches, developing marketing and sales strategies, ensuring product quality, and managing post-launch activities. Learn to execute enterprise software deployments, ensure compliance monitoring, and conduct thorough testing. Develop effective marketing strategies across various channels, create compelling sales strategies, and analyze market feedback. Implement quality assurance and control techniques, monitor product performance using KPIs, and gather customer feedback. Plan and implement product updates and enhancements, and apply data-driven insights to make informed decisions. Learn to utilize generative AI in product management and manage AI product lifecycles, including performance monitoring, iterative updates, and ethical considerations. By the end of the course, you will be able to: - - Plan and coordinate a successful product launch. - Develop and implement product marketing and sales strategies. - Apply quality assurance and control techniques to ensure product quality. - Manage the product life cycle post-launch, including updates and improvements. - Complete a final project that Explain the ability to launch and manage a product. -Execute enterprise software deployments -Ensure compliance monitoring A Microsoft 365 license or free trial is needed to complete the course activities....

Top reviews

Filter by:

1 - 10 of 10 Reviews for Product Launch and Post-Launch Management

By Pratik S

Aug 23, 2025

You prepared for a mock interview for an entry-level Product Manager position at an enterprise software company, focusing on aligning your skills with job application keywords. I've successfully conducted a mock interview using an AI tool, practicing how to articulate your experience, including using the STAR method. I've analyzed the feedback provided by the AI tool, identifying both your strengths and specific areas for improvement in your interviewing skills. I've created a plan for your further development, demonstrating your commitment to continuous growth as a product manager.

By Ayush T

Aug 27, 2025

Had a chance to learn how disruptive innovation and AI led structural changes can be managed through core product management principles. Also, how in the age of AI these principles focus on macro as well micro aspects of enterprise

By Satheesha A

Jul 26, 2025

great course, I learned a lot on post launch activities.

By TEENA S

Nov 20, 2025

It’s wonderful learning

By Razak Z

Jun 17, 2025

Superbly!

By Parag S

Nov 25, 2025

It was end to end product management learning inclusive of AI which is essential with current market needs.

By Jose L L S

Jul 29, 2025

Me pareció que se puede dar más ejemplos de uso de IA en la gestion de un PM

By Girish K

Nov 22, 2025

Very informative

By Taufiq H

Dec 4, 2025

The course content was comprehensive and covered a wide range of topics, which provided valuable exposure to current business and market trends. However, there are several areas that need improvement to enhance the learning experience: Content Quality and Flow: While the topics were holistic and detailed, the overall structure and flow were not as organized as expected from a Microsoft training program. Some sections felt repetitive, and certain parts appeared AI-generated, which made them slightly confusing. Delivery Format: Many tools were introduced through short videos with rapid transitions, making it difficult for learners to follow and absorb the information. A slower, more structured approach would improve clarity. Hands-On Practice: Although the tools presented were useful, there was no practical environment for learners to apply what they learned. Virtual labs should be integrated into the course, especially for those who do not have access to the required software. Time Allocation: The time assigned for reading and assignments was unrealistic. For example: Reading modules were allocated 10 minutes, whereas they required at least 1.5 hours. Assignments were given 30 minutes, but realistically needed 2.5 hours or more. Adjusting these timeframes would significantly improve learner engagement and comprehension. Human Review and Practical Exercises: Human revision of the content is essential to ensure clarity and remove unnecessary repetitions. Additionally, practical exercises in a virtual environment should accompany all tools explained in the videos to reinforce learning.

By Sumit U J

Jul 7, 2025

The course doesnt have real human touch. Not at all worth for learning and understanding the real fundamentals.